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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">674094</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2021.674094</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Characteristics of Germline Non-BRCA Mutation Status of High-Risk Breast Cancer Patients in China and Correlation with High-Risk Factors and Multigene Testing Suggestions</article-title>
<alt-title alt-title-type="left-running-head">Su et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Non-BRCA Mutations in Chinese BC</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Su</surname>
<given-names>Yifan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1023667/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yao</surname>
<given-names>Qianlan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/291190/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Yuyin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Chengli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1500346/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Qian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1221800/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jiwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1261800/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Di</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Baohua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname>
<given-names>Yupeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Xiaoli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bai</surname>
<given-names>Qianming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/726328/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Xiaoyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1007165/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Pathology, Fudan University, Shanghai Cancer Center, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Department of Oncology, Fudan University, Shanghai Medical Collage, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Institute of Pathology, Fudan University, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<corresp id="c001">&#x2a;Correspondence: Xiaoyan Zhou, <email>xyzhou100@163.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Cancer Genetics and Oncogenomics, a section of the journal Frontiers in Genetics</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/288523/overview">Tania Lee Slatter</ext-link>, University of Otago, New&#x20;Zealand</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1024313/overview">Maria Del Pilar Estevez Diz</ext-link>, Universidade de S&#x00E3;o Paulo, Brazil</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/496213/overview">Vanessa Lilian Lau</ext-link>, University of Otago, Christchurch, New&#x20;Zealand</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>674094</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>04</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Su, Yao, Xu, Yu, Zhang, Wang, Li, Shi, Yu, Zeng, Zhu, Bai and Zhou.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Su, Yao, Xu, Yu, Zhang, Wang, Li, Shi, Yu, Zeng, Zhu, Bai and Zhou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> <italic>Expert consensus on BRCA1/2 genetic testing and clinical application in Chinese breast cancer patients</italic> recommends that <italic>BRCA1/2</italic> testing should be performed in those with clinical risk factors, such as an early onset, triple-negative breast cancer (TNBC) or family history of cancer. With the increasing application of multigene panels, testing for genes beyond <italic>BRCA1/2</italic> has become more prevalent. However, the non-<italic>BRCA</italic> mutation status of Chinese high-risk breast cancer patients has not been fully explored.</p>
<p>
<bold>Methods:</bold> A total of 230&#x20;high-risk breast cancer patients from Fudan University Shanghai Cancer Center who had undergone peripheral blood germline 72 genes next-generation sequencing (NGS) from June 2018 to June 2020 were enrolled for retrospective analysis. The 72 genes include common hereditary breast cancer genes, such as homologous recombination repair (HRR) genes and other DNA damage repair genes. High-risk factors included: 1) TNBC; 2) male breast cancer; 3) primary bilateral breast cancer; 4) diagnosed with breast cancer at age less than or equal to 40&#x20;years; or 5) at least one first- and/or second-degree relative with <italic>BRCA</italic>-related cancer (breast or ovarian or prostate or pancreatic cancer).</p>
<p>
<bold>Results:</bold> The germline pathogenic or likely pathogenic mutation rate was 29.6% (68/230) in high-risk breast cancer patients. Among them, 44 (19.1%, 44/230) were identified as harboring <italic>BRCA1/2</italic> mutation, and 28 (12.2%, 28/230) patients carried non-<italic>BRCA</italic> germline variants. Variants were detected in 16&#x20;non-<italic>BRCA</italic> genes, including <italic>PALB2</italic> (5, 2.2%), <italic>ATM</italic> (4, 1.7%), <italic>RAD51D</italic> (3, 1.3%), <italic>TP53</italic> (3, 1.3%), <italic>CHEK2</italic> (2, 0.9%), <italic>FANCA</italic> (2, 0.9%) and <italic>ATR</italic>, <italic>BARD1</italic>, <italic>BRIP1</italic>, <italic>ERCC3</italic>, <italic>HOXB13</italic>, <italic>MLH1</italic>, <italic>MRE11</italic>, <italic>PMS2</italic>, <italic>RAD51C</italic>, <italic>RAD54L</italic> (1, 0.4%). Besides, 22 (9.6%, 22/230) patients were non-<italic>BRCA</italic> HRR gene mutation (including <italic>ATM</italic>, <italic>ATR</italic>, <italic>BARD1</italic>, <italic>BRIP1</italic>, <italic>CHEK2</italic>, <italic>FANCA</italic>, <italic>MRE11</italic>, <italic>PALB2</italic>, <italic>RAD51C RAD51D</italic> and <italic>RAD54L</italic>) carriers. Among high-risk factors, family history showed a correlation with both <italic>BRCA</italic> (<italic>p</italic>&#x20;&#x3d; 0.005) and non-<italic>BRCA</italic> HRR gene mutation status (<italic>p</italic>&#x20;&#x3d; 0.036). In addition, TNBC showed a correlation with <italic>BRCA1</italic> gene mutation status (<italic>p</italic>&#x20;&#x3d; 0.038). However, other high-risk factors have not shown significantly related to <italic>BRCA1/2</italic>, non-<italic>BRCA</italic> genes and non-<italic>BRCA</italic> HRR gene mutations (<italic>p</italic>&#x20;&#x3e; 0.05). In addition, 312 unique variants of uncertain significance (VUS) were identified among 175 (76.1%, 175/230) patients and 65 different&#x20;genes.</p>
<p>
<bold>Conclusions:</bold> Non-<italic>BRCA</italic> gene mutations are frequently identified in breast cancer patients with high risk factors. Family history showed a correlation with both <italic>BRCA</italic> (<italic>p</italic>&#x20;&#x3d; 0.005) and non-<italic>BRCA</italic> HRR gene mutation status (<italic>p</italic>&#x20;&#x3d; 0.036), so we strongly suggest that breast cancer patients with a <italic>BRCA</italic>-related family history receive comprehensive gene mutation testing in China, especially HRR genes, which are not only related to high risk of breast cancer, but also potentially related to poly ADP ribose polymerase inhibitor (PARPi) targeted therapy. The exact relationship of rare gene mutations to breast cancer predisposition and the pathogenicity of VUS need to be further investigated.</p>
</abstract>
<kwd-group>
<kwd>breast cancer</kwd>
<kwd>high risk</kwd>
<kwd>non-BRCA genes</kwd>
<kwd>germline mutation</kwd>
<kwd>Chinese</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Breast cancer is considered the most common cancer among females worldwide. According to the epidemiologic analysis report of International Agency for Research on Cancer (IARC), breast cancer had the highest incidence among Chinese female malignant tumors in 2020, with 416,000 patients, accounting for 19.9% of all malignant tumors in women (<xref ref-type="bibr" rid="B37">World Health Organization, 2021</xref>). Due to pathogenic or likely pathogenic variants in some tumor suppressor genes, 5&#x2013;10% of breast cancer cases are hereditary (<xref ref-type="bibr" rid="B5">Carroll et&#x20;al., 2008</xref>), and 15&#x2013;20% show familial aggregation. Compared to sporadic tumors, hereditary breast cancer is characterized by an early age of onset, male breast cancer, and multiple or bilateral primary tumors (<xref ref-type="bibr" rid="B32">Sung et&#x20;al., 2017</xref>).</p>
<p>Mutations in <italic>BRCA1</italic> and <italic>BRCA2</italic> are closely related to increased susceptibility to breast cancer. Data for the Chinese population showed that the pathogenic or likely pathogenic mutations of <italic>BRCA1/2</italic> were identified in 5.3% unselected Chinese breast cancer patients and in 18.1% familial breast cancer patients (<xref ref-type="bibr" rid="B31">Sun et&#x20;al., 2017</xref>). Besides, the cumulative risk of developing breast cancer by the age of 70 is approximately 37.9% in <italic>BRCA1</italic> mutation carriers and 36.5% in <italic>BRCA2</italic> mutation carriers in China, corresponding to a 10-fold increase compared with the general population (<xref ref-type="bibr" rid="B38">Yao et&#x20;al., 2016</xref>), which indicated that it is necessary to have <italic>BRCA1/2</italic> testing for Chinese breast cancer patients. The Breast Cancer Precision Treatment Committee of the Chinese Medical Doctor Association has issued <italic>expert consensus on BRCA1/2 genetic testing and clinical application in Chinese breast cancer patients</italic> referring to the international guidelines issued by the National Comprehensive Cancer Network (NCCN) and proposed characteristics of breast cancer patients who should be recommended for <italic>BRCA1/2</italic> testing based on clinical risk factors such as age of onset, hormone receptor status and personal or family history of cancer (<xref ref-type="bibr" rid="B35">Wang et&#x20;al., 2018</xref>). For carriers of <italic>BRCA1/2</italic> mutation or their families, there are well-established counseling strategies and management guidelines for early intervention or prevention, such as increased monitoring and consideration of risk-reducing interventions (<xref ref-type="bibr" rid="B16">Kwong et&#x20;al., 2020</xref>). In addition, <italic>BRCA</italic>-related breast cancer is highly sensitive to platinum-based chemotherapy, and these patients can significantly benefit from poly ADP ribose polymerase inhibitor (PARPi) therapy. Nonetheless, more than 60% of breast cancer patients with genetic characteristics or family aggregation do not carry <italic>BRCA1/2</italic> mutations (<xref ref-type="bibr" rid="B33">Telli et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B34">Tham et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B16">Kwong et&#x20;al., 2020</xref>).</p>
<p>With the application of next-generation sequencing (NGS) over the past 10&#xa0;years, many non-<italic>BRCA</italic> breast cancer susceptibility genes have been identified in succession, such as <italic>ATM</italic>, <italic>CHEK2</italic>, <italic>PALB2</italic> and <italic>TP53</italic>. Multigene testing is of great significance for breast cancer risk prediction, molecular typing (especially for triple-negative breast cancer) and selection of precise treatment options. A multigene panel enables sequencing of a large number of genes simultaneously. Indeed, more than 200 multigene panels proposed by academic or commercial laboratories have been listed by the NCBI Genetic Test Registry (<xref ref-type="bibr" rid="B24">Thehandbook. Bethes, 2018</xref>). Chrystelle Colas et&#x20;al. summarized the 26 genes most commonly included in the breast cancer multigene panels, including <italic>ATM</italic>, <italic>BARD1</italic>, <italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>BRIP1</italic>, <italic>CDH1</italic>, <italic>CHEK2</italic>, <italic>GEN1</italic>, <italic>MCPH1, MLH1</italic>, <italic>MRE11A</italic>, <italic>MSH2</italic>, <italic>MSH6</italic>, <italic>NBN</italic>, <italic>NF1</italic>, <italic>PALB2</italic>, <italic>PMS2</italic>, <italic>PTEN</italic>, <italic>RAD50</italic>, <italic>RAD51C</italic>, <italic>RAD51D</italic>, <italic>RINT1</italic>, <italic>SLX4, STK11</italic>, <italic>TP53</italic> and <italic>XRCC2</italic> (<xref ref-type="bibr" rid="B7">Colas et&#x20;al., 2019</xref>). The prevalence and spectrum of germline mutations in breast cancer patients vary across ethnicities. However, only a few studies have reported the prevalence of non-<italic>BRCA</italic> gene mutations in the Chinese population. In addition, the association between clinical risk factors and non-<italic>BRCA</italic> genes in China remains uncertain, and the lack of authoritative guidelines for multigene testing restricts the discovery of more mutation carriers in clinical practice.</p>
<p>Indeed, most of the non-<italic>BRCA</italic> breast cancer susceptibility genes also participate in DNA homologous recombination repair (HRR) pathways, such as <italic>ATM</italic>, <italic>CHEK2</italic> and <italic>PALB2</italic>. HRR is a high-fidelity DNA repair mechanism that is essential for maintaining the integrity of the genome. Evidence showed that pathogenic mutations in non-<italic>BRCA</italic> HRR genes could also help identify susceptibility to familial breast cancer and showed PARPi sensitivity similar to <italic>BRCA1/2</italic> (<xref ref-type="bibr" rid="B22">Mirza et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B6">Castroviejo-Bermejo et&#x20;al., 2018</xref>).</p>
<p>In our study, we collected clinicopathological data for 230&#x20;high-risk breast cancer patients who had undergone peripheral blood germline gene testing with a 72 multigene panel and retrospectively analyzed the association between risk factors and different gene groups. The aim of this study was to identify the prevalence and spectrum of germline mutations, especially non-<italic>BRCA</italic> and non-<italic>BRCA</italic> HRR genes mutations in high-risk Chinese breast cancer patients, clarify their clinicopathologic characteristics of mutation carriers and provide evidence for proposing the clinical recommendations for genetic testing in high-risk breast cancers.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Casesand Samples</title>
<p>All cases were collected from Fudan University Shanghai Cancer Center. Data for breast cancer patients who had undergone peripheral blood germline 72 multigene panel testing from June 2018 to June 2020 were collected for statistical analysis. High-risk breast cancer patients were recruited if they fulfilled any one of the following five criteria: 1) triple-negative breast cancer (TNBC); 2) male breast cancer; 3) primary bilateral breast cancer; 4) diagnosed with breast cancer at age less than or equal to 40&#xa0;years; or 5) at least one first- and/or second-degree relative with <italic>BRCA</italic>-related cancer (breast or ovarian or prostate or pancreatic cancer). All samples were included in the study with approval from the independent ethical committee/institutional review board, and all participants signed informed consent forms. Genomic DNA extracted from peripheral blood were performed using QIAamp DNA blood MidiKit (QIAgen, Valencia, CA) according to manufacturer&#x2019;s instructions. DNA concentration was measured using Qubit dsDNA assay. Clinicopathological parameters were electronically retrieved from the Hospital Information System (HIS) of Fudan University Shanghai Cancer Center.</p>
</sec>
<sec id="s2-2">
<title>Next-Generation Sequencing Library Preparation and Sequencing</title>
<p>Genome DNA was sheared using Covaris M220, followed by end repairing, phosphorylation and adaptor ligation. DNA fragments were captured using the 72-gene panel (Burning Rock Biotech Ltd.), which covering 370&#xa0;kb of human genomic regions, and then purified beads (Agencourt AMPure XP Kit, Beckman Coulter, California, United&#x20;States). Quality and fragment size of such DNA libraries were assessed by Bioanalyzer High Sensitivity DNA Analysis (Agilent). Then libraries were sequenced on Nextseq500 sequencer (Illumina, Inc., California, United&#x20;States) with pair-end reads. The 72 genes included are <italic>AKT1</italic>, <italic>APC</italic>, <italic>AR</italic>, <italic>ATM</italic>, <italic>ATR</italic>, <italic>BAP1</italic>, <italic>BARD1</italic>, <italic>BRAF</italic>, <italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>BRIP1</italic>, <italic>CCND1</italic>, <italic>CDK12</italic>, <italic>CDKN1B</italic>, <italic>CDKN2A</italic>, <italic>CDKN2B</italic>, <italic>CHD1</italic>, <italic>CHEK1</italic>, <italic>CHEK2</italic>, <italic>CTNNB1</italic>, <italic>EMSY</italic>, <italic>EPCAM</italic>, <italic>ERCC2</italic>, <italic>ERCC3</italic>, <italic>ERCC4</italic>, <italic>ESR1</italic>, <italic>FAM175A</italic>, <italic>FANCA</italic>, <italic>FANCD2</italic>, <italic>FANCI</italic>, <italic>FANCL</italic>, <italic>FANCM</italic>, <italic>FOXA1</italic>, <italic>GEN1</italic>, <italic>HDAC2</italic>, <italic>HOXB13</italic>, <italic>MLH1</italic>, <italic>MLH3</italic>, <italic>MRE11</italic>, <italic>MSH2</italic>, <italic>MSH6</italic>, <italic>MUTYH</italic>, <italic>MYC</italic>, <italic>NBN</italic>, <italic>NCOR1</italic>, <italic>NCOR2</italic>, <italic>PALB2</italic>, <italic>PIK3CA</italic>, <italic>PIK3CB</italic>, <italic>PIK3R1</italic>, <italic>PMS2</italic>, <italic>POLE</italic>, <italic>PPP2R2A</italic>, <italic>PTEN</italic>, <italic>RAD50</italic>, <italic>RAD51</italic>, <italic>RAD51B</italic>, <italic>RAD51C</italic>, <italic>RAD51D</italic>, <italic>RAD52</italic>, <italic>RAD54L</italic>, <italic>RAF1</italic>, <italic>RB1</italic>, <italic>RNF43</italic>, <italic>RSP O 2</italic>, <italic>SPOP</italic>, <italic>STK11</italic>, <italic>TMPRSS2</italic>, <italic>TP53</italic>, <italic>XRCC2</italic>, <italic>ZBTB16</italic> and <italic>ZNRF3</italic>. Among them, HRR genes include <italic>ATM</italic>, <italic>ATR</italic>, <italic>BARD1</italic>, <italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>BRIP1</italic>, <italic>CHEK1</italic>, <italic>CHEK2</italic>, <italic>FANCA</italic>, <italic>FANCI</italic>, <italic>MRE11</italic>, <italic>NBN</italic>, <italic>PALB2</italic>, <italic>RAD50</italic>, <italic>RAD51B</italic>, <italic>RAD51C</italic>, <italic>RAD51D</italic> and <italic>RAD54L</italic>.</p>
</sec>
<sec id="s2-3">
<title>Sequence Data Analysis</title>
<p>Sequencing data were aligned to the human genome (hg19) using BWA aligner 0.7.10. Local alignment optimization, variant calling was performed using GATK 3.2, VarScan separately. Variants were filtered using the VarScan fpfilter pipeline, which locations with depth less than 100 were filtered. 5 reads were required for each INDEL alleles, while 8 reads for SNVs. According to allele frequency database (ExAC, 1,000 Genomes, ESP6500 et&#x20;al.), variants with frequency over 1% were considered as genetic polymorphisms. Variants&#x2019; detail information was annotated by ANNOVAR and SnpEff v3.6. DNA translocation analysis was performed using both Tophat2 and Factera&#x20;1.4.3.</p>
</sec>
<sec id="s2-4">
<title>Variant Classification and Analysis</title>
<p>Minor allele frequency (MAF) of variant less than 1% was considered for further pathogenicity evaluation. Variants were classified as pathogenic, likely pathogenic, uncertain significance, likely benign and benign according to American College of Medical Genetics (ACMG) guideline (<xref ref-type="bibr" rid="B29">Richards et&#x20;al., 2015</xref>). Pathogenic/likely pathogenic (P/LP) variants were regarded as deleterious mutations with clinical significance. The variants pathogenic determination referred to databases such as the BRCA Exchange database (<ext-link ext-link-type="uri" xlink:href="https://brcaexchange.org/favicon.ico">https://brcaexchange.org/favicon.ico</ext-link>), LOVD database (<ext-link ext-link-type="uri" xlink:href="https://databases.lovd.nl/shared/genes">https://databases.lovd.nl/shared/genes</ext-link>) and ClinVar (<ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/clinvar/">http://www.ncbi.nlm.nih.gov/clinvar/</ext-link>) and published papers. Bioinformatic tools including SIFT (<ext-link ext-link-type="uri" xlink:href="http://sift.jcvi.org">http://sift.jcvi.org</ext-link>), Align GVGD (<ext-link ext-link-type="uri" xlink:href="http://agvgd.iarc.fr/agvgd_input.php">http://agvgd.iarc.fr/agvgd_input.php</ext-link>) and PolyPhen-2 (<ext-link ext-link-type="uri" xlink:href="http://genetics.bwh.harvard.edu/pph2">http://genetics.bwh.harvard.edu/pph2</ext-link>) were used as supplementary evidence to prove that a variant may affect normal function.</p>
</sec>
<sec id="s2-5">
<title>Statistical Analysis</title>
<p>The &#x3c7;2 test and Fisher&#x2019;s exact test were employed to evaluate differences in gene mutation frequency across groups as well as the clinicopathological characteristics of mutation carriers. Statistical Product and Service Solutions (SPSS) Statistics 26.0 (IBM institute, Chicago, IL, United&#x20;States) was used for all statistical analyses. All <italic>p</italic> values were two-sided, and <italic>p</italic>&#x20;&#x3c; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Clinicopathologic Characteristics of Patients</title>
<p>Of 230 breast cancer patients with at least one high-risk factor, the mean age at diagnosis was 37.5&#xa0;years, with a range from 21 to 79&#xa0;years; among them 170 (73.9%) had early-onset breast cancer. A total of 103 (44.8%) had a family history of <italic>BRCA</italic>-related cancer (breast or ovarian or prostate or pancreatic cancer) and 21 (9.1%) had a family history of other cancers (such as esophageal, gastric, gallbladder, nasopharyngeal or lung cancer). Two (0.9%) of the breast cancer patients were male. Most breast cancers were invasive ductal carcinoma (209, 90.9%) or ductal carcinoma <italic>in situ</italic> (19, 8.3%); 111 (48.3%) were luminal, 85 (37.0%) were TNBC, and 33 (14.3%) were HER2 positive (HER2&#x2b;). A total of 5.7% patients were diagnosed with primary bilateral breast cancer. The patients&#x2019; clinicopathologic characteristics are summarized in <xref ref-type="table" rid="T1">Table&#x20;1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Clinicopathologic Data of 230 High Risk Breast Cancer Patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variable</th>
<th rowspan="2" align="center">Multigene patient cohort (N&#x20;&#x3d;&#x20;230) n (%)</th>
<th colspan="4" align="center">Germline mutation frequency (N &#x3d; corresponding patients) n (%)</th>
</tr>
<tr>
<th align="center">Germline mutation carriers</th>
<th align="center">g<italic>BRCA1/2</italic> carriers</th>
<th align="center">Non-<italic>BRCA</italic> germline mutation carriers<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="center">Non-<italic>BRCA</italic> HRR germline mutation carriers</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left">
<bold>Sex</bold>
</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">228 (99.1)</td>
<td align="center">68 (29.8)</td>
<td align="center">44 (19.3)</td>
<td align="center">28 (12.3)</td>
<td align="center">22 (9.6)</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">2 (0.9)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Diagnosis age</bold>
</td>
</tr>
<tr>
<td align="left">&#x2264;3&#xa0;years</td>
<td align="center">44 (19.1)</td>
<td align="center">19 (43.2)</td>
<td align="center">14 (31.8)</td>
<td align="center">7 (15.9)</td>
<td align="center">5 (11.4)</td>
</tr>
<tr>
<td align="left">31&#x2013;40&#xa0;years</td>
<td align="center">126 (54.8)</td>
<td align="center">30 (23.8)</td>
<td align="center">19 (15.1)</td>
<td align="center">12 (9.5)</td>
<td align="center">10 (7.9)</td>
</tr>
<tr>
<td align="left">41&#x2013;50&#xa0;years</td>
<td align="center">42 (18.3)</td>
<td align="center">15 (35.7)</td>
<td align="center">8 (19.0)</td>
<td align="center">8 (19.0)</td>
<td align="center">6 (14.3)</td>
</tr>
<tr>
<td align="left">51&#x2013;60&#xa0;years</td>
<td align="center">11 (4.8)</td>
<td align="center">2 (18.2)</td>
<td align="center">1 (9.1)</td>
<td align="center">1 (9.1)</td>
<td align="center">1 (9.1)</td>
</tr>
<tr>
<td align="left">&#x3e;60&#xa0;years</td>
<td align="center">7 (3.0)</td>
<td align="center">2 (28.6)</td>
<td align="center">2 (28.6)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Family history (first or second degree)</bold>
</td>
</tr>
<tr>
<td align="left">Breast cancer</td>
<td align="center">96 (41.7)</td>
<td align="center">41 (42.7)</td>
<td align="center">26 (27.1)</td>
<td align="center">17 (17.7)</td>
<td align="center">14 (14.6)</td>
</tr>
<tr>
<td align="left">
<italic>BRCA</italic> related cancer (other than BC)</td>
<td align="center">7 (3.0)</td>
<td align="center">3 (42.9)</td>
<td align="center">3 (42.9)</td>
<td align="center">1 (14.3)</td>
<td align="center">1 (14.3)</td>
</tr>
<tr>
<td align="left">Non-<italic>BRC</italic>A related cancer</td>
<td align="center">21 (9.1)</td>
<td align="center">2 (9.5)</td>
<td align="center">2 (9.5)</td>
<td align="center">1 (4.8)</td>
<td align="center">1 (4.8)</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">83 (36.1)</td>
<td align="center">19 (22.9)</td>
<td align="center">11 (13.3)</td>
<td align="center">8 (9.6)</td>
<td align="center">5 (6.0)</td>
</tr>
<tr>
<td align="left">Unknown</td>
<td align="center">23 (10.0)</td>
<td align="center">3 (13.0)</td>
<td align="center">2 (8.7)</td>
<td align="center">1 (4.3)</td>
<td align="center">1 (4.3)</td>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Site of breast tumors</bold>
</td>
</tr>
<tr>
<td align="left">Unilateral BC</td>
<td align="center">217 (94.3)</td>
<td align="center">63 (29.0)</td>
<td align="center">39 (18.0)</td>
<td align="center">27 (12.4)</td>
<td align="center">21 (9.7)</td>
</tr>
<tr>
<td align="left">Bilateral BC</td>
<td align="center">13 (5.7)</td>
<td align="center">5 (38.5)</td>
<td align="center">5 (38.5)</td>
<td align="center">1 (7.7)</td>
<td align="center">1 (7.7)</td>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Histology of breast tumors</bold>
</td>
</tr>
<tr>
<td align="left">
<italic>In situ</italic> carcinoma</td>
<td align="center">19 (8.3)</td>
<td align="center">4 (21.1)</td>
<td align="center">2 (10.5)</td>
<td align="center">2 (10.5)</td>
<td align="center">2 (10.5)</td>
</tr>
<tr>
<td align="left">Invasive carcinoma</td>
<td align="center">209 (90.9)</td>
<td align="center">64 (30.6)</td>
<td align="center">42 (20.1)</td>
<td align="center">26 (12.4)</td>
<td align="center">20 (9.6)</td>
</tr>
<tr>
<td align="left">Unknown</td>
<td align="center">2 (0.8)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Molecular subtypes of breast tumors</bold>
</td>
</tr>
<tr>
<td align="left">Luminal A</td>
<td align="center">8 (3.5)</td>
<td align="center">2 (25.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">2 (25.0)</td>
<td align="center">2 (25.0)</td>
</tr>
<tr>
<td align="left">Luminal B (HER2-)</td>
<td align="center">17 (7.4)</td>
<td align="center">6 (35.3)</td>
<td align="center">4 (23.5)</td>
<td align="center">2 (11.8)</td>
<td align="center">1 (5.9)</td>
</tr>
<tr>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="center">86 (37.4)</td>
<td align="center">26 (30.2)</td>
<td align="center">15 (17.4)</td>
<td align="center">12 (14.0)</td>
<td align="center">10 (11.6)</td>
</tr>
<tr>
<td align="left">HER2&#x2b;</td>
<td align="center">33 (14.3)</td>
<td align="center">9 (27.3)</td>
<td align="center">6 (18.2)</td>
<td align="center">4 (12.1)</td>
<td align="center">4 (12.1)</td>
</tr>
<tr>
<td align="left">TNBC</td>
<td align="center">85 (37.0)</td>
<td align="center">25 (29.4)</td>
<td align="center">19 (22.4)</td>
<td align="center">8 (9.4)</td>
<td align="center">5 (5.9)</td>
</tr>
<tr>
<td align="left">Unknown</td>
<td align="center">1 (0.4)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Tumor size</bold>
</td>
</tr>
<tr>
<td align="left">&#x2264;2&#xa0;cm</td>
<td align="center">101 (43.9)</td>
<td align="center">29 (28.7)</td>
<td align="center">15 (14.9)</td>
<td align="center">15 (14.9)</td>
<td align="center">13 (12.9)</td>
</tr>
<tr>
<td align="left">&#x3e;2&#xa0;cm</td>
<td align="center">90 (39.1)</td>
<td align="center">28 (31.1)</td>
<td align="center">21 (23.3)</td>
<td align="center">9 (10.0)</td>
<td align="center">5 (5.6)</td>
</tr>
<tr>
<td align="left">Unknown</td>
<td align="center">39 (17.0)</td>
<td align="center">11 (28.2)</td>
<td align="center">8 (20.5)</td>
<td align="center">4 (10.3)</td>
<td align="center">4 (10.3)</td>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Lymph nodes status</bold>
</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">156 (67.8)</td>
<td align="center">50 (32.1)</td>
<td align="center">33 (21.2)</td>
<td align="center">20 (12.8)</td>
<td align="center">17 (10.9)</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">57 (24.8)</td>
<td align="center">14 (24.6)</td>
<td align="center">7 (12.3)</td>
<td align="center">8 (14.0)</td>
<td align="center">5 (8.8)</td>
</tr>
<tr>
<td align="left">Unknown</td>
<td align="center">17 (7.4)</td>
<td align="center">4 (23.5)</td>
<td align="center">4 (23.5)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
</tr>
<tr>
<td colspan="6" align="left">
<bold>Metastasis</bold>
</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">194 (84.3)</td>
<td align="center">63 (32.5)</td>
<td align="center">40 (20.6)</td>
<td align="center">27 (13.9)</td>
<td align="center">21 (10.8)</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">36 (15.7)</td>
<td align="center">5 (13.9)</td>
<td align="center">4 (11.1)</td>
<td align="center">1 (2.8)</td>
<td align="center">1 (2.8)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>4 patients carried both <italic>BRCA</italic>, and non-<italic>BRCA</italic>, gene germline mutations.</p>
</fn>
<fn>
<p>AbbreviationsgBRCA, germline breast cancer susceptibility&#x20;gene.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Germline Gene Mutations and Their Distribution in High-Risk Breast Cancer Patients</title>
<p>Variants defined as pathogenic or likely pathogenic were selected for analysis. Of 230&#x20;high-risk patients, 68 (29.6%, 68/230) were pathogenic or likely pathogenic variant carriers. <xref ref-type="table" rid="T1">Table&#x20;1</xref> shows the germline mutation frequency of different groups. Forty-four (19.1%, 44/230) high-risk patients were identified as harboring <italic>BRCA</italic> mutations: 33 (14.3%, 33/230) <italic>BRCA1</italic> mutation carriers and 11 (4.8%, 11/230) <italic>BRCA2</italic> mutation carriers. In addition to <italic>BRCA</italic>, 28 (12.2%, 28/230) patients carried non-<italic>BRCA</italic> gene germline variants. In addition, 27.4% (63/230) patients carried HRR gene mutations, of which 22 (9.6%, 22/230) patients were non-<italic>BRCA</italic> HRR gene variant carriers. The distribution and frequency of non-<italic>BRCA</italic> and non-<italic>BRCA</italic> HRR mutant genes are shown in <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>. It is worth noting that 5 patients carried more than one pathogenic or likely pathogenic variants simultaneously (<xref ref-type="table" rid="T2">Table&#x20;2</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Distribution and frequency of germline mutations <bold>(A)</bold> Distribution and frequency of non-<italic>BRCA</italic> gene germline mutations; <bold>(B)</bold> Distribution and frequency of non-<italic>BRCA</italic> HRR gene germline mutations.</p>
</caption>
<graphic xlink:href="fgene-12-674094-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Patients Harboring Multiple Variants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">ID</th>
<th colspan="2" align="left">Mutation variant</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N1729354</td>
<td align="left">
<italic>BRCA1</italic>:c.2866_2870del; p.Ser956fs</td>
<td align="left">
<italic>RAD51D</italic>:c.270_271dup; p.Lys91fs</td>
</tr>
<tr>
<td align="left">M2001617</td>
<td align="left">
<italic>BRCA1</italic>:c.5470_5477del; p.Ile 1824fs</td>
<td align="left">
<italic>RAD51D</italic>:c.556C &#x3e; T; p.Arg186&#x2a;</td>
</tr>
<tr>
<td align="left">M1921070</td>
<td align="left">
<italic>BRCA1</italic>:c.5503C &#x3e; T; p.Arg 1835&#x2a;</td>
<td align="left">
<italic>MLH1</italic>:c.1038G &#x3e; C; p.Gln346His</td>
</tr>
<tr>
<td align="left">M2002180</td>
<td align="left">
<italic>BRCA2</italic>:c.8987del; p.Leu2996fs</td>
<td align="left">
<italic>RAD51C</italic>:c.1000G &#x3e; T; p.Glu334&#x2a;</td>
</tr>
<tr>
<td align="left">M2001784</td>
<td align="left">
<italic>MER11</italic>:c.1897C &#x3e; T; p.Arg633&#x2a;</td>
<td align="left">
<italic>TP53</italic>:c.328dup; p.Arg110fs</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Associations Between High-Risk Factors and Germline Gene Mutation Status</title>
<p>The <italic>BRCA</italic> mutation rate was 19.1% (44/230) in the high-risk groups of breast cancer patients. Among them, 33 (19.4%, 33/170) early-onset patients carried <italic>BRCA</italic> mutation, and 28.2% (29/103) patients with <italic>BRCA</italic>-related family history had <italic>BRCA</italic> mutations; 19 (22.4%) <italic>BRCA</italic> mutation carriers were identified among 85 TNBC patients and 5 (38.5%) carriers among primary bilateral breast cancer patients. However, no mutation was found in the 2 male patients. Family history showed a correlation with <italic>BRCA</italic> mutation (<italic>p</italic>&#x20;&#x3d; 0.005), with <italic>BRCA2</italic> mutations having less impact than <italic>BRCA1</italic> mutations. In addition, <italic>BRCA1</italic> mutations showed a correlation with TNBC (<italic>p</italic>&#x20;&#x3d; 0.038) (<xref ref-type="table" rid="T3">Table&#x20;3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Germline <italic>BRCA1</italic> and <italic>BRCA2</italic> mutation status in patients in different high-risk categories.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="3" align="left"/>
<th colspan="4" align="center">g<italic>BRCA1/2</italic> mutation status</th>
<th align="left"/>
<th align="left"/>
<th align="left"/>
</tr>
<tr>
<th rowspan="2" colspan="3" align="left">Number of patients</th>
<th align="center">Non-carriers<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref> (n&#x20;&#x3d;&#x20;186)</th>
<th align="center">g<italic>BRCA1</italic> carriers (n&#x20;&#x3d;&#x20;33)</th>
<th align="center">g<italic>BRCA2</italic> carriers (n&#x20;&#x3d;&#x20;11)</th>
<th align="center">g<italic>BRCA1/2</italic> carriers<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref> (n&#x20;&#x3d;&#x20;44)</th>
<th align="left"/>
<th align="left"/>
<th align="left"/>
</tr>
<tr>
<th align="center">
<bold>N (%)</bold>
</th>
<th align="center">
<bold>N (%)</bold>
</th>
<th align="center">
<bold>N (%)</bold>
</th>
<th align="center">
<bold>N (%)</bold>
</th>
<th align="center">
<bold>
<italic>p</italic>1</bold>
</th>
<th align="center">
<bold>
<italic>p</italic>2</bold>
</th>
<th align="center">
<bold>
<italic>p</italic>3</bold>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="10" align="left">
<bold>Early-age onset breast cancer</bold>
</td>
</tr>
<tr>
<td colspan="2" align="left">No</td>
<td align="char" char=".">60</td>
<td align="center">49 (81.7)</td>
<td align="center">7 (11.7)</td>
<td align="center">4 (6.7)</td>
<td align="center">11 (18.3)</td>
<td align="center">0.533</td>
<td align="center">0.467</td>
<td align="center">0.855</td>
</tr>
<tr>
<td colspan="2" align="left">Yes</td>
<td align="char" char=".">170</td>
<td align="center">137 (80.6)</td>
<td align="center">26 (15.3)</td>
<td align="center">7 (4.1)</td>
<td align="center">33 (19.4)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="10" align="left">
<bold>Breast cancer with family of breast/ovarian/prostate/pancreatic cancer</bold>
</td>
</tr>
<tr>
<td colspan="2" align="left">No</td>
<td align="char" char=".">104</td>
<td align="center">91 (87.5)</td>
<td align="center">9 (8.7)</td>
<td align="center">4 (3.8)</td>
<td align="center">13 (12.5)</td>
<td align="center">0.008</td>
<td align="center">0.226</td>
<td align="center">0.005</td>
</tr>
<tr>
<td colspan="2" align="left">Yes</td>
<td align="char" char=".">103</td>
<td align="center">74 (71.8)</td>
<td align="center">22 (21.4)</td>
<td align="center">7 (6.8)</td>
<td align="center">29 (28.2)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="2" align="left">Unknown</td>
<td align="char" char=".">23</td>
<td align="center">21 (91.3)</td>
<td align="center">2 (8.7)</td>
<td align="center">0 (0.0)</td>
<td align="center">2 (8.7)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="10" align="left">
<bold>Triple-negative breast cancer</bold>
</td>
</tr>
<tr>
<td colspan="2" align="left">No</td>
<td align="char" char=".">145</td>
<td align="center">120 (82.8)</td>
<td align="center">15 (10.3)</td>
<td align="center">10 (6.9)</td>
<td align="center">25 (17.2)</td>
<td align="center">0.038</td>
<td align="center">0.073</td>
<td align="center">0.341</td>
</tr>
<tr>
<td colspan="2" align="left">Yes</td>
<td align="char" char=".">85</td>
<td align="center">66 (77.6)</td>
<td align="center">18 (21.2)</td>
<td align="center">1 (1.2)</td>
<td align="center">19 (22.4)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="10" align="left">
<bold>Male breast cancer</bold>
</td>
</tr>
<tr>
<td colspan="2" align="left">No</td>
<td align="char" char=".">228</td>
<td align="center">184 (80.7)</td>
<td align="center">33 (14.5)</td>
<td align="center">11 (4.8)</td>
<td align="center">44 (19.3)</td>
<td align="center">0.550</td>
<td align="center">0.730</td>
<td align="center">0.490</td>
</tr>
<tr>
<td colspan="2" align="left">Yes</td>
<td align="char" char=".">2</td>
<td align="center">2 (100.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="10" align="left">
<bold>Bilateral breast cancer</bold>
</td>
</tr>
<tr>
<td colspan="2" align="left">No</td>
<td align="char" char=".">217</td>
<td align="center">178 (82.0)</td>
<td align="center">29 (13.4)</td>
<td align="center">10 (4.6)</td>
<td align="center">39 (18.0)</td>
<td align="center">0.069</td>
<td align="center">0.460</td>
<td align="center">0.068</td>
</tr>
<tr>
<td colspan="2" align="left">Yes</td>
<td align="char" char=".">13</td>
<td align="center">8 (61.5)</td>
<td align="center">4 (30.8)</td>
<td align="center">1 (7.7)</td>
<td align="center">5 (38.5)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Mutations identified as pathogenic or likely pathogenic were enrolled in our analysis. <italic>p</italic>1, non-carriers versus g<italic>BRCA1</italic> carriers; <italic>p</italic>2, non-carriers versus g<italic>BRCA2</italic> carriers; <italic>p</italic>3, non-carriers versus g<italic>BRCA1/2</italic> carriers. Bold values denote two-sided <italic>p</italic>&#x20;&#x3c; 0.05.</p>
</fn>
<fn id="Tfn2">
<label>a</label>
<p>Non-carriers included all patients without <italic>BRCA</italic>, mutation.</p>
</fn>
<fn id="Tfn3">
<label>b</label>
<p>
<italic>BRCA1/2</italic> carriers included g<italic>BRCA1</italic> carriers and g<italic>BRCA2</italic> carriers.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>When considering non-<italic>BRCA</italic> genes, the non-<italic>BRCA</italic> gene and non-<italic>BRCA</italic> HRR gene mutation rates were 12.2% (28/230) and 9.6% (22/230), respectively. Among them, 11.2% (19/170) early-onset patients had non-<italic>BRCA</italic> mutations; 18 (17.5%, 18/103) patients with <italic>BRCA</italic>-related family history were non-<italic>BRCA</italic> mutation carriers; besides, 8 (9.4%, 8/85) TNBC patients and 1 (7.7%, 1/13) primary bilateral breast cancer patients were identified. In addition, 15 (8.8%, 15/170) early-onset patients, 15 (14.6%, 15/103) patients with <italic>BRCA</italic>-related family history, 5 (5.9%, 5/85) TNBC patients and 1 (7.7%, 1/13) primary bilateral breast cancer patients carried non-<italic>BRCA</italic> HRR gene germline mutations. The relevance between non-<italic>BRCA</italic> HRR gene mutations and high-risk factors was lower than that between <italic>BRCA</italic> and high-risk factors. For each high-risk factor, only family history showed a correlation with the non-<italic>BRCA</italic> HRR gene mutation status (<italic>p</italic>&#x20;&#x3d; 0.036) (<xref ref-type="table" rid="T4">Table&#x20;4</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Germline non-<italic>BRCA</italic> mutation status in patients in different categories.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="left"/>
<th colspan="3" align="center">Germline mutation status</th>
<th colspan="3" align="center">gHRR mutation status</th>
</tr>
<tr>
<th rowspan="2" colspan="2" align="left">Number of patients</th>
<th align="left">Non-carriers<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref> (n&#x20;&#x3d;&#x20;202)</th>
<th colspan="2" align="left">Non-<italic>BRCA</italic> germline mutation carriers (n&#x20;&#x3d;&#x20;28)</th>
<th align="left">Non-carriers<xref ref-type="table-fn" rid="Tfn5">
<sup>b</sup>
</xref> (n&#x20;&#x3d;&#x20;208)</th>
<th colspan="2" align="left">Non-<italic>BRCA</italic> gHRR carriers (n&#x20;&#x3d;&#x20;22)</th>
</tr>
<tr>
<th align="left">
<bold>N (%)</bold>
</th>
<th align="left">
<bold>N (%)</bold>
</th>
<th align="left">
<bold>
<italic>p</italic>1</bold>
</th>
<th align="left">
<bold>N (%)</bold>
</th>
<th align="left">
<bold>N (%)</bold>
</th>
<th align="left">
<bold>
<italic>p</italic>2</bold>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="8" align="left">
<bold>Early-age onset breast cancer</bold>
</td>
</tr>
<tr>
<td align="left">No</td>
<td align="left">60</td>
<td align="left">51 (85.0)</td>
<td align="left">9 (15.0)</td>
<td align="left">0.436</td>
<td align="left">53 (88.3)</td>
<td align="left">7 (11.7)</td>
<td align="left">0.520</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="left">170</td>
<td align="left">151 (88.8)</td>
<td align="left">19 (11.2)</td>
<td align="left"/>
<td align="left">155 (91.2)</td>
<td align="left">15 (8.8)</td>
<td align="left"/>
</tr>
<tr>
<td colspan="8" align="left">
<bold>Breast cancer with family of breast/ovarian/prostate/pancreatic cancer</bold>
</td>
</tr>
<tr>
<td align="left">No</td>
<td align="char" char=".">104</td>
<td align="left">95 (91.3)</td>
<td align="left">9 (8.7)</td>
<td align="left">0.060</td>
<td align="left">98 (94.2)</td>
<td align="left">6 (5.8)</td>
<td align="left">0.036</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="char" char=".">103</td>
<td align="left">85 (82.5)</td>
<td align="left">18 (17.5)</td>
<td align="left">&#x2014;</td>
<td align="left">88 (85.4)</td>
<td align="left">15 (14.6)</td>
<td align="left">&#x2014;</td>
</tr>
<tr>
<td align="left">Unknown</td>
<td align="char" char=".">23</td>
<td align="left">22 (95.7)</td>
<td align="left">1 (4.3)</td>
<td align="left">&#x2014;</td>
<td align="left">22 (95.7)</td>
<td align="left">1 (4.3)</td>
<td align="left">&#x2014;</td>
</tr>
<tr>
<td colspan="8" align="left">
<bold>Triple-negative breast cancer</bold>
</td>
</tr>
<tr>
<td align="left">No</td>
<td align="char" char=".">145</td>
<td align="left">125 (86.2)</td>
<td align="left">20 (13.8)</td>
<td align="char" char=".">0.327</td>
<td align="left">128 (88.3)</td>
<td align="left">17 (11.7)</td>
<td align="char" char=".">0.146</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="char" char=".">85</td>
<td align="left">77 (90.6)</td>
<td align="left">8 (9.4)</td>
<td align="left">&#x2014;</td>
<td align="left">80 (94.1)</td>
<td align="left">5 (5.9)</td>
<td align="left">&#x2014;</td>
</tr>
<tr>
<td colspan="8" align="left">
<bold>Male breast cancer</bold>
</td>
</tr>
<tr>
<td align="left">No</td>
<td align="char" char=".">228</td>
<td align="left">200 (87.7)</td>
<td align="left">28 (12.3)</td>
<td align="char" char=".">0.597</td>
<td align="left">206 (90.4)</td>
<td align="left">22 (9.6)</td>
<td align="char" char=".">0.644</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="char" char=".">2</td>
<td align="left">2 (100.0)</td>
<td align="left">0 (0.0)</td>
<td align="left">&#x2014;</td>
<td align="left">2 (100.0)</td>
<td align="left">0 (0.0)</td>
<td align="left">&#x2014;</td>
</tr>
<tr>
<td colspan="8" align="left">
<bold>Bilateral breast cancer</bold>
</td>
</tr>
<tr>
<td align="left">No</td>
<td align="char" char=".">217</td>
<td align="left">190 (87.6)</td>
<td align="left">27 (12.4)</td>
<td align="char" char=".">0.611</td>
<td align="left">196 (90.3)</td>
<td align="left">21 (9.7)</td>
<td align="char" char=".">0.813</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="char" char=".">13</td>
<td align="left">12 (92.3)</td>
<td align="left">1 (7.7)</td>
<td align="left">&#x2014;</td>
<td align="left">12 (92.3)</td>
<td align="left">1 (7.7)</td>
<td align="left">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Mutations identified as pathogenic or likely pathogenic were enrolled in our analysis. <italic>p</italic>1, non-carriers versus non-<italic>BRCA</italic> gHRR, carriers; <italic>p</italic>2, non-carriers versus non-<italic>BRCA</italic>, germline mutation carriers. Bold values denote two-sided <italic>p</italic>&#x20;&#x3c; 0.05.; Abbreviations: gHRR, germline homologous recombination susceptibility&#x20;gene.</p>
</fn>
<fn id="Tfn4">
<label>a</label>
<p>Non-carriers included all patients without non-<italic>BRCA</italic> gHRR, mutation.</p>
</fn>
<fn id="Tfn5">
<label>b</label>
<p>Non-carriers included patients without germline mutation and patients carried <italic>BRCA</italic>, mutations&#x20;only.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<title>Non-<italic>BRCA</italic> Gene Mutations</title>
<p>Sixty-eight patients were pathogenic or likely pathogenic mutation carriers. All the pathogenic or likely pathogenic variants were listed in <xref ref-type="table" rid="T5">Table&#x20;5</xref>. Among them, twenty-eight unique non-<italic>BRCA</italic> variants were identified, in which <italic>RAD51D</italic> variant c.270_271dup (p.Lys91fs) occurred twice. As mentioned above, <italic>PALB2</italic> (n &#x3d; 5), <italic>ATM</italic> (n &#x3d; 4), <italic>RAD51D</italic> (n &#x3d; 3) and <italic>TP53</italic> (n&#x20;&#x3d; 3) were the top 4 genes among non-<italic>BRCA</italic> genes with the highest mutation rate. In addition, seven variants were identified in non-HRR genes: <italic>ERCC3</italic> c.1854_1867del (p.Glu619fs); <italic>HOXB13</italic> c.179del (p.Pro60fs); <italic>MLH1</italic> c.1038G &#x3e; C (p.Gln346His); <italic>PMS2</italic> exon14-15cn_del; <italic>TP53</italic> c.328dup (p.Arg110fs); <italic>TP53</italic> c.637C &#x3e; T (p.Arg213&#x2a;) and <italic>TP53</italic> c.733G&#x20;&#x3e;&#x20;A (p.Gly245Ser).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>List of pathogenic/likely pathogenic variants in 68 patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Gene</th>
<th align="center">Mutation variant</th>
<th align="center">Mutation Type</th>
<th align="center">ID</th>
<th align="center">Subtype</th>
<th align="center">Type of cancer</th>
<th align="center">Age&#x20;of onset</th>
<th align="center">
<italic>BRCA</italic>-related family history</th>
<th align="center">Read Depth</th>
<th align="center">Allele Depth</th>
<th align="center">Allele Frequency</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>ATM</italic>
</td>
<td align="left">c.1402_1403del; p.Lys468Glufs</td>
<td align="left">frameshift</td>
<td align="left">M1904071</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">54</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">372</td>
<td align="char" char=".">182</td>
<td align="char" char=".">0.52</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3475del; p.Ala1159fs</td>
<td align="left">frameshift</td>
<td align="left">N1828231</td>
<td align="left">Luminal A</td>
<td align="left">breast</td>
<td align="char" char=".">33</td>
<td align="left">breast</td>
<td align="char" char=".">496</td>
<td align="char" char=".">223</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.6976-1G &#x3e; C</td>
<td align="left">splice site</td>
<td align="left">M1923378</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">38</td>
<td align="left">breast</td>
<td align="char" char=".">607</td>
<td align="char" char=".">285</td>
<td align="char" char=".">0.47</td>
</tr>
<tr>
<td align="left"/>
<td align="left">exon17-59cn_del</td>
<td align="left">large genomic rearrangement</td>
<td align="left">M1914872</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">48</td>
<td align="left">breast</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.99</td>
</tr>
<tr>
<td align="left">
<italic>ATR</italic>
</td>
<td align="left">c.6279_6280del; p.Trp 2094fs</td>
<td align="left">frameshift</td>
<td align="left">M1914650</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">38</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">664</td>
<td align="char" char=".">332</td>
<td align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left">
<italic>BARD1</italic>
</td>
<td align="left">exon1cn_del</td>
<td align="left">large genomic rearrangement</td>
<td align="left">M1918326</td>
<td align="left">Luminal A</td>
<td align="left">breast</td>
<td align="char" char=".">30</td>
<td align="left">breast</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.59</td>
</tr>
<tr>
<td align="left">
<italic>BRCA1</italic>
</td>
<td align="left">c.1016del; p.Lys339fs</td>
<td align="left">frameshift</td>
<td align="left">M1915861</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">32</td>
<td align="left">breast; ovary</td>
<td align="char" char=".">364</td>
<td align="char" char=".">197</td>
<td align="char" char=".">0.54</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.1319T &#x3e; A; p.Leu440<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M2005589</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">27</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">291</td>
<td align="char" char=".">151</td>
<td align="char" char=".">0.52</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.2110_2111del; p.Asn704fs</td>
<td align="left">frameshift</td>
<td align="left">M1917376</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">bilateral breast</td>
<td align="char" char=".">37</td>
<td align="left">breast</td>
<td align="char" char=".">317</td>
<td align="char" char=".">174</td>
<td align="char" char=".">0.55</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.2481del; p.Gly828fs</td>
<td align="left">frameshift</td>
<td align="left">M1908555</td>
<td align="left">Luminal B (HER2-)</td>
<td align="left">breast</td>
<td align="char" char=".">34</td>
<td align="left">breast</td>
<td align="char" char=".">258</td>
<td align="char" char=".">129</td>
<td align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.2491dup; p.Tyr831Leufs</td>
<td align="left">frameshift</td>
<td align="left">M1900311</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">40</td>
<td align="left">breast</td>
<td align="char" char=".">3,698</td>
<td align="char" char=".">1,664</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.2866_2870del; p.Ser956fs</td>
<td align="left">frameshift</td>
<td align="left">N1729354</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">30</td>
<td align="left">breast</td>
<td align="char" char=".">496</td>
<td align="char" char=".">238</td>
<td align="char" char=".">0.48</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3689T &#x3e; G; p.Leu1230<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1913565</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">40</td>
<td align="left">-</td>
<td align="char" char=".">351</td>
<td align="char" char=".">183</td>
<td align="char" char=".">0.52</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4041_4042del; p.Gly1348fs</td>
<td align="left">frameshift</td>
<td align="left">M2001543</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">36</td>
<td align="left">breast</td>
<td align="char" char=".">384</td>
<td align="char" char=".">173</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.40dup; p.Val14fs</td>
<td align="left">frameshift</td>
<td align="left">M2005311</td>
<td align="left">TNBC</td>
<td align="left">bilateral breast</td>
<td align="char" char=".">29</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">642</td>
<td align="char" char=".">321</td>
<td align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4165_4166dup; p. Ser1389Argfs</td>
<td align="left">frameshift</td>
<td align="left">M1819548</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">31</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">2,141</td>
<td align="char" char=".">921</td>
<td align="char" char=".">0.43<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4327C &#x3e; T; p.Arg1443<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">D2000700</td>
<td align="left">HER2&#x2b;</td>
<td align="left">bilateral breast</td>
<td align="char" char=".">55</td>
<td align="left">breast</td>
<td align="char" char=".">622</td>
<td align="char" char=".">311</td>
<td align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4357&#x2b;1G &#x3e; A</td>
<td align="left">splice site</td>
<td align="left">M1701555</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">27</td>
<td align="left">breast</td>
<td align="char" char=".">445</td>
<td align="char" char=".">205</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4612C &#x3e; T; p.Gln1538<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M2002389</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">38</td>
<td align="left">breast</td>
<td align="char" char=".">634</td>
<td align="char" char=".">311</td>
<td align="char" char=".">0.49</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4987&#x2013;2A &#x3e; G</td>
<td align="left">splice site</td>
<td align="left">M1814354</td>
<td align="left">Luminal B (HER2-)</td>
<td align="left">breast</td>
<td align="char" char=".">43</td>
<td align="left">breast</td>
<td align="char" char=".">6,154</td>
<td align="char" char=".">2,769</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5074G &#x3e; A; p.Asp1692Asn</td>
<td align="left">splice site</td>
<td align="left">M2003980</td>
<td align="left">Luminal B (HER2-)</td>
<td align="left">breast</td>
<td align="char" char=".">65</td>
<td align="left">breast; ovary</td>
<td align="char" char=".">597</td>
<td align="char" char=".">287</td>
<td align="char" char=".">0.48</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5089T &#x3e; C; p.Cys1697Arg</td>
<td align="left">missense</td>
<td align="left">M1908879</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">36</td>
<td align="left">breast</td>
<td align="char" char=".">622</td>
<td align="char" char=".">286</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5239C &#x3e; T; p.Gln1747<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1822270</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">28</td>
<td align="left">breast</td>
<td align="char" char=".">3,201</td>
<td align="char" char=".">1,568</td>
<td align="char" char=".">0.49</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5251C &#x3e; T; p.Arg1751<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1919481</td>
<td align="left">Luminal B (HER2-)</td>
<td align="left">breast</td>
<td align="char" char=".">40</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">629</td>
<td align="char" char=".">308</td>
<td align="char" char=".">0.49</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5357T &#x3e; C; p.Leu1786Pro</td>
<td align="left">missense</td>
<td align="left">M2001475</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">32</td>
<td align="left">ovary</td>
<td align="char" char=".">644</td>
<td align="char" char=".">277</td>
<td align="char" char=".">0.43<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5470_5477del; p.Ile 1824fs</td>
<td align="left">frameshift</td>
<td align="left">M1903211</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">28</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">621</td>
<td align="char" char=".">273</td>
<td align="char" char=".">0.44<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M1915850</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">29</td>
<td align="left">breast</td>
<td align="char" char=".">2,226</td>
<td align="char" char=".">868</td>
<td align="char" char=".">0.39<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M1913849</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">31</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">608</td>
<td align="char" char=".">268</td>
<td align="char" char=".">0.44<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M2004099</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">31</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">661</td>
<td align="char" char=".">304</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">D2000656</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">40</td>
<td align="left">breast</td>
<td align="char" char=".">665</td>
<td align="char" char=".">299</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M2001617</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">46</td>
<td align="left">ovary</td>
<td align="char" char=".">642</td>
<td align="char" char=".">289</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M1916970</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">50</td>
<td align="left">breast</td>
<td align="char" char=".">623</td>
<td align="char" char=".">287</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M1913669</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">30</td>
<td align="left">-</td>
<td align="char" char=".">608</td>
<td align="char" char=".">292</td>
<td align="char" char=".">0.48</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5503C &#x3e; T; p.Arg 1835<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1921070</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">30</td>
<td align="left">breast; ovary</td>
<td align="char" char=".">634</td>
<td align="char" char=".">311</td>
<td align="char" char=".">0.49</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.66dup; p.Glu23Argfs</td>
<td align="left">frameshift</td>
<td align="left">M1903763</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">29</td>
<td align="left">breast</td>
<td align="char" char=".">654</td>
<td align="char" char=".">301</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.869del; p.Leu290fs</td>
<td align="left">frameshift</td>
<td align="left">M1912969</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">41</td>
<td align="left">breast</td>
<td align="char" char=".">613</td>
<td align="char" char=".">294</td>
<td align="char" char=".">0.48</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.981_982del; p.Cys328fs</td>
<td align="left">frameshift</td>
<td align="left">M2001103</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">37</td>
<td align="left">-</td>
<td align="char" char=".">468</td>
<td align="char" char=".">225</td>
<td align="char" char=".">0.48</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M1914021</td>
<td align="left">TNBC</td>
<td align="left">bilateral breast</td>
<td align="char" char=".">46</td>
<td align="left">-</td>
<td align="char" char=".">499</td>
<td align="char" char=".">235</td>
<td align="char" char=".">0.47</td>
</tr>
<tr>
<td align="left"/>
<td align="left">exon8del</td>
<td align="left">large genomic rearrangement</td>
<td align="left">N1861013</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">29</td>
<td align="left">breast</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="char" char=".">0.99</td>
</tr>
<tr>
<td align="left">
<italic>BRCA2</italic>
</td>
<td align="left">c.1238del; p.Leu413fs</td>
<td align="left">frameshift</td>
<td align="left">M2001692</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">35</td>
<td align="left">breast</td>
<td align="char" char=".">425</td>
<td align="char" char=".">196</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3109C &#x3e; T; p.Gln1037<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1916464</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">30</td>
<td align="left">breast</td>
<td align="char" char=".">316</td>
<td align="char" char=".">158</td>
<td align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.-39&#x2013;1_-39del</td>
<td align="left">splice site</td>
<td align="left">M1908841</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">26</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">534</td>
<td align="char" char=".">246</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M1922853</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">47</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">529</td>
<td align="char" char=".">233</td>
<td align="char" char=".">0.44<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4581del; p.Ser1528fs</td>
<td align="left">frameshift</td>
<td align="left">M2002400</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">71</td>
<td align="left">ovary</td>
<td align="char" char=".">442</td>
<td align="char" char=".">208</td>
<td align="char" char=".">0.47</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5189del; p.Asn1730fs</td>
<td align="left">frameshift</td>
<td align="left">M2004286</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">37</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">428</td>
<td align="char" char=".">227</td>
<td align="char" char=".">0.53</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5645C &#x3e; A; p.Ser 1882<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1911239</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">29</td>
<td align="left">breast</td>
<td align="char" char=".">225</td>
<td align="char" char=".">110</td>
<td align="char" char=".">0.49</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.582G &#x3e; A; p.Trp194<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1811133</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">47</td>
<td align="left">breast</td>
<td align="char" char=".">3,325</td>
<td align="char" char=".">1,596</td>
<td align="char" char=".">0.48</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.7988_8000delinsCA; p.Glu2663fs</td>
<td align="left">frameshift</td>
<td align="left">M2003796</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">44</td>
<td align="left">breast</td>
<td align="char" char=".">438</td>
<td align="char" char=".">193</td>
<td align="char" char=".">0.44<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.8479_8485del; p.Pro2827fs</td>
<td align="left">frameshift</td>
<td align="left">N1845679</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">31</td>
<td align="left">breast</td>
<td align="char" char=".">380</td>
<td align="char" char=".">175</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.8987del; p.Leu2996fs</td>
<td align="left">frameshift</td>
<td align="left">M2002180</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">bilateral breast</td>
<td align="char" char=".">33</td>
<td align="left">-</td>
<td align="char" char=".">569</td>
<td align="char" char=".">307</td>
<td align="char" char=".">0.54</td>
</tr>
<tr>
<td align="left">
<italic>BRIP1</italic>
</td>
<td align="left">c.2464dup; p.Tyr822fs</td>
<td align="left">frameshift</td>
<td align="left">M1912924</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">40</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">619</td>
<td align="char" char=".">322</td>
<td align="char" char=".">0.52</td>
</tr>
<tr>
<td align="left">
<italic>CHEK2</italic>
</td>
<td align="left">c.161_164del; p.His54fs</td>
<td align="left">frameshift</td>
<td align="left">N1853565</td>
<td align="left">Luminal B (HER2-)</td>
<td align="left">breast</td>
<td align="char" char=".">27</td>
<td align="left">breast</td>
<td align="char" char=".">439</td>
<td align="char" char=".">211</td>
<td align="char" char=".">0.48</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.432dup; p.Arg145fs</td>
<td align="left">frameshift</td>
<td align="left">M1914089</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">27</td>
<td align="left">breast</td>
<td align="char" char=".">470</td>
<td align="char" char=".">230</td>
<td align="char" char=".">0.49</td>
</tr>
<tr>
<td align="left">
<italic>ERCC3</italic>
</td>
<td align="left">c.1854_1867del; p.Glu619fs</td>
<td align="left">frameshift</td>
<td align="left">M1911225</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">43</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">640</td>
<td align="char" char=".">288</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left">
<italic>FANCA</italic>
</td>
<td align="left">c.2733G &#x3e; A; p.Trp911<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1911710</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">41</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">561</td>
<td align="char" char=".">292</td>
<td align="char" char=".">0.52</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.2923_2924del; p.Gly975fs</td>
<td align="left">frameshift</td>
<td align="left">M2002746</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">32</td>
<td align="left">breast</td>
<td align="char" char=".">682</td>
<td align="char" char=".">334</td>
<td align="char" char=".">0.49</td>
</tr>
<tr>
<td align="left">
<italic>HOXB13</italic>
</td>
<td align="left">c.179del; p.Pro60fs</td>
<td align="left">frameshift</td>
<td align="left">M2002924</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">37</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">606</td>
<td align="char" char=".">303</td>
<td align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left">
<italic>MLH1</italic>
</td>
<td align="left">c.1038G &#x3e; C; p.Gln346His</td>
<td align="left">splice site</td>
<td align="left">M1921070</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">30</td>
<td align="left">breast; ovary</td>
<td align="char" char=".">557</td>
<td align="char" char=".">256</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left">
<italic>MRE11</italic>
</td>
<td align="left">c.1897C &#x3e; T; p.Arg633<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M2001784</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">32</td>
<td align="left">breast</td>
<td align="char" char=".">671</td>
<td align="char" char=".">302</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left">
<italic>PALB2</italic>
</td>
<td align="left">c.1784del; Asp595Valfs</td>
<td align="left">frameshift</td>
<td align="left">M1812984</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">42</td>
<td align="left">breast</td>
<td align="char" char=".">3,469</td>
<td align="char" char=".">1,561</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3114-1G &#x3e; A</td>
<td align="left">splice site</td>
<td align="left">M1916465</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">46</td>
<td align="left">breast</td>
<td align="char" char=".">578</td>
<td align="char" char=".">272</td>
<td align="char" char=".">0.47</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3256C &#x3e; T; p.Arg1086<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">N1912271</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">32</td>
<td align="left">breast</td>
<td align="char" char=".">442</td>
<td align="char" char=".">230</td>
<td align="char" char=".">0.52</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3507_3508del; p.His1170fs</td>
<td align="left">frameshift</td>
<td align="left">N1730221</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">29</td>
<td align="left">breast</td>
<td align="char" char=".">532</td>
<td align="char" char=".">239</td>
<td align="char" char=".">0.45</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.751C &#x3e; T; p.Gln251<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M1923379</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">45</td>
<td align="left">breast</td>
<td align="char" char=".">375</td>
<td align="char" char=".">176</td>
<td align="char" char=".">0.47</td>
</tr>
<tr>
<td align="left">
<italic>PMS2</italic>
</td>
<td align="left">exon14-15cn_del</td>
<td align="left">large genomic rearrangement</td>
<td align="left">M1907635</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">33</td>
<td align="left">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td align="left">
<italic>RAD51C</italic>
</td>
<td align="left">c.1000G &#x3e; T; p.Glu334<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M2002180</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">bilateral breast</td>
<td align="char" char=".">33</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">641</td>
<td align="char" char=".">301</td>
<td align="char" char=".">0.47</td>
</tr>
<tr>
<td align="left">
<italic>RAD51D</italic>
</td>
<td align="left">c.270_271dup; p.Lys91fs</td>
<td align="left">frameshift</td>
<td align="left">N1729354</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">30</td>
<td align="left">breast</td>
<td align="char" char=".">439</td>
<td align="char" char=".">220</td>
<td align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left"/>
<td align="left">&#x2014;</td>
<td align="left">&#x2014;</td>
<td align="left">M1916030</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">32</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">552</td>
<td align="char" char=".">270</td>
<td align="char" char=".">0.49</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.556C &#x3e; T; p.Arg186<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M2001617</td>
<td align="left">TNBC</td>
<td align="left">breast</td>
<td align="char" char=".">46</td>
<td align="left">ovary</td>
<td align="char" char=".">596</td>
<td align="char" char=".">286</td>
<td align="char" char=".">0.48</td>
</tr>
<tr>
<td align="left">
<italic>RAD54L</italic>
</td>
<td align="left">c.1403_1404del; p.Val468fs</td>
<td align="left">frameshift</td>
<td align="left">M1920663</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">37</td>
<td align="left">&#x2014;</td>
<td align="char" char=".">517</td>
<td align="char" char=".">227</td>
<td align="char" char=".">0.44<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>TP53</italic>
</td>
<td align="left">c.328dup; p.Arg110fs</td>
<td align="left">frameshift</td>
<td align="left">M2001784</td>
<td align="left">HER2&#x2b;</td>
<td align="left">breast</td>
<td align="char" char=".">32</td>
<td align="left">breast</td>
<td align="char" char=".">394</td>
<td align="char" char=".">197</td>
<td align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.637C &#x3e; T; p.Arg213<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
<td align="left">stop gained</td>
<td align="left">M2002098</td>
<td align="left">Luminal B (HER2&#x2b;)</td>
<td align="left">breast</td>
<td align="char" char=".">43</td>
<td align="left">breast</td>
<td align="char" char=".">514</td>
<td align="char" char=".">221</td>
<td align="char" char=".">0.43<xref ref-type="table-fn" rid="Tfn6">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.733G &#x3e; A; p.Gly245Ser</td>
<td align="left">missense</td>
<td align="left">N1831892</td>
<td align="left">Luminal B (HER2-)</td>
<td align="left">breast</td>
<td align="char" char=".">27</td>
<td align="left">breast</td>
<td align="char" char=".">379</td>
<td align="char" char=".">193</td>
<td align="char" char=".">0.51</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn6">
<label>a</label>
<p>Variants (single nucleotide variants and insertion-deletions) whose allele frequency were lower than 45% have been validated with Sanger sequencing.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Variants of Uncertain Significance</title>
<p>Apart from pathogenic or likely pathogenic variants, 312 unique variants of uncertain significance (VUS) were identified among 175 (76.1%, 175/230) patients and 65 different genes. Of those, the most frequent genes were <italic>RAD54L</italic> (5.4%), followed by <italic>ATM</italic> (5.1%) and <italic>FANCA</italic> (4.6%). <xref ref-type="table" rid="T6">Table&#x20;6</xref> summarizes all the VUSs identified in high penetrance breast cancer predisposition genes (<italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>CDH1</italic>, <italic>PALB2</italic>, <italic>PTEN</italic> and <italic>TP53</italic>).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>List of VUSs in high penetrance breast cancer predisposition&#x20;genes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Gene</th>
<th align="center">Mutation variant</th>
<th align="center">Mutation Type</th>
<th align="center">Allele Frequency</th>
<th align="center">SIFT</th>
<th align="center">PolyPhen-2</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>BRCA1</italic>
</td>
<td align="left">c.134&#x2b;4dup</td>
<td align="left">splice site</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.2481A &#x3e; C; p.Glu827Asp</td>
<td align="left">missense</td>
<td align="char" char=".">0.000004</td>
<td align="char" char=".">0.09</td>
<td align="char" char=".">0.032</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3034A &#x3e; G; p.Arg1012Gly</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.14</td>
<td align="char" char=".">0.442</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3172A &#x3e; G; p.Ile1058Val</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.7</td>
<td align="char" char=".">0.008</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3596C &#x3e; T; p.Ala1199Val</td>
<td align="left">missense</td>
<td align="char" char=".">0.000071</td>
<td align="char" char=".">0.05</td>
<td align="char" char=".">0.427</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3649T &#x3e; C; p.Ser1217Pro</td>
<td align="left">missense</td>
<td align="char" char=".">0.000085</td>
<td align="char" char=".">0.07</td>
<td align="char" char=".">0.073</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4484&#x2b;5G &#x3e; A</td>
<td align="left">intron</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5096G &#x3e; A; p.Arg1699Gln</td>
<td align="left">missense</td>
<td align="char" char=".">0.00002</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.999</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5380G &#x3e; A; p.Glu1794Lys</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.14</td>
<td align="char" char=".">0.259</td>
</tr>
<tr>
<td align="left">
<italic>BRCA2</italic>
</td>
<td align="left">c.2946A &#x3e; G; p.Ile982Met</td>
<td align="left">missense</td>
<td align="char" char=".">0.000088</td>
<td align="char" char=".">0.08</td>
<td align="char" char=".">0.019</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4376A &#x3e; G; p.Asn1459Ser</td>
<td align="left">missense</td>
<td align="char" char=".">0.000043</td>
<td align="char" char=".">0.82</td>
<td align="char" char=".">0.172</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.4436G &#x3e; A; p.Ser1479Asn</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.57</td>
<td align="char" char=".">0.006</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5191C &#x3e; T; p.His1731Tyr</td>
<td align="left">missense</td>
<td align="char" char=".">0.0000082</td>
<td align="char" char=".">0.24</td>
<td align="char" char=".">0.94</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.6131G &#x3e; T; p.Gly2044Val</td>
<td align="left">missense</td>
<td align="char" char=".">0.00002</td>
<td align="char" char=".">0.02</td>
<td align="char" char=".">0.079</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.7088A &#x3e; G; p.Tyr2363Cys</td>
<td align="left">missense</td>
<td align="char" char=".">0.000004</td>
<td align="char" char=".">0.12</td>
<td align="char" char=".">0.014</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.7601C &#x3e; T; p.Ala2534Val</td>
<td align="left">missense</td>
<td align="char" char=".">0.000096</td>
<td align="char" char=".">0.67</td>
<td align="char" char=".">0.499</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.7979_7984del; p.Tyr2660_Thr2662delinsSer</td>
<td align="left">in frame del</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.8356G &#x3e; A; p.Ala2786Thr</td>
<td align="left">missense</td>
<td align="char" char=".">0.000057</td>
<td align="char" char=".">0.03</td>
<td align="char" char=".">1</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.8518A &#x3e; G; p.Ile2840Val</td>
<td align="left">missense</td>
<td align="char" char=".">0.000011</td>
<td align="char" char=".">1</td>
<td align="char" char=".">0.077</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.8682A &#x3e; C; p.Gln2894His</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.02</td>
<td align="char" char=".">1</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.8702G &#x3e; A; p.Gly2901Asp</td>
<td align="left">missense</td>
<td align="char" char=".">0.00013</td>
<td align="char" char=".">0</td>
<td align="char" char=".">1</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.9665G &#x3e; A; p.Cys3222Tyr</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.16</td>
<td align="char" char=".">0.039</td>
</tr>
<tr>
<td align="left">
<italic>PALB2</italic>
</td>
<td align="left">c.1213C &#x3e; G; p.Pro405Ala</td>
<td align="left">missense</td>
<td align="char" char=".">0.000025</td>
<td align="char" char=".">0</td>
<td align="char" char=".">1</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.1492G &#x3e; T; p.Asp498Tyr</td>
<td align="left">missense</td>
<td align="char" char=".">0.00049</td>
<td align="char" char=".">0.12</td>
<td align="char" char=".">0.904</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.1556C &#x3e; A; p.Ala519Asp</td>
<td align="left">missense</td>
<td align="char" char=".">0.000008</td>
<td align="char" char=".">0.23</td>
<td align="char" char=".">0.418</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.1659C &#x3e; A; p.His553Gln</td>
<td align="left">missense</td>
<td align="char" char=".">0.000024</td>
<td align="char" char=".">0.19</td>
<td align="char" char=".">0.002</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.2509G &#x3e; A; p.Glu837Lys</td>
<td align="left">missense</td>
<td align="char" char=".">0.000099</td>
<td align="char" char=".">0.25</td>
<td align="char" char=".">0.922</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.2586 &#x2b; 18T &#x3e; A</td>
<td align="left">intron</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.308G &#x3e; A; p.Gly103Glu</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">1</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.3379T &#x3e; C; p.Cys1127Arg</td>
<td align="left">missense</td>
<td align="char" char=".">0.000008</td>
<td align="char" char=".">0.35</td>
<td align="char" char=".">0.761</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.5A &#x3e; T; p.Asp2Val</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.07</td>
<td align="char" char=".">0.018</td>
</tr>
<tr>
<td align="left">
<italic>TP53</italic>
</td>
<td align="left">c.145G &#x3e; A; p.Asp49Asn</td>
<td align="left">missense</td>
<td align="char" char=".">0.000008</td>
<td align="char" char=".">0.06</td>
<td align="char" char=".">0.358</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.776A &#x3e; T; p.Asp259Val</td>
<td align="left">missense</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">0.07</td>
<td align="char" char=".">0.537</td>
</tr>
<tr>
<td align="left"/>
<td align="left">c.91G &#x3e; A; p.Val31Ile</td>
<td align="left">missense</td>
<td align="char" char=".">0.00023</td>
<td align="char" char=".">0.84</td>
<td align="char" char=".">0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The prevalence and spectrum of germline mutations in breast cancer patients vary across ethnicities (<xref ref-type="bibr" rid="B11">Hall et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B12">Han et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B15">Kwong et&#x20;al., 2016</xref>). Compared with women of Western European descent (12.1%), women in Africa (15.6%) and Latin America (14.8%) had a higher incidence of <italic>BRCA1/2</italic> pathogenic mutations (<xref ref-type="bibr" rid="B11">Hall et&#x20;al., 2009</xref>). Data for the Asian population showed that the prevalence of <italic>BRCA1/2</italic> germline mutations was 9.8% in South Korean non-familial high-risk breast cancer patients (<xref ref-type="bibr" rid="B12">Han et&#x20;al., 2011</xref>) and 9.4% in Chinese hereditary breast-ovarian cancer (HBOC) families (<xref ref-type="bibr" rid="B15">Kwong et&#x20;al., 2016</xref>). The application of NGS has enabled sequencing a large number of genes simultaneously, and thus, many other non-<italic>BRCA</italic> breast cancer susceptibility genes have been identified. The NCCN guideline list the susceptibility genes of hereditary breast cancer, including 6 high penetrance (<italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>CDH1</italic>, <italic>PALB2</italic>, <italic>PTEN</italic> and <italic>TP53</italic>) and 9 moderate to low penetrance (<italic>ATM</italic>, <italic>BARD1</italic>, <italic>BRIP1</italic>, <italic>CHEK2</italic>, <italic>NBN</italic>, <italic>NF1</italic>, <italic>RAD51C</italic>, <italic>RAD51D</italic> and <italic>STK11</italic>) susceptibility genes, most of which also participate in HRR pathway (<xref ref-type="bibr" rid="B25">Nielsen et&#x20;al., 2016</xref>).</p>
<p>However, only a few studies to date report the prevalence of non-<italic>BRCA</italic> genes in the Chinese population. Samuel Guan Wei Ow et&#x20;al. analyzed 419 Asian patients suspected to have hereditary breast cancer syndrome who underwent genetic testing and found that the frequency of detrimental mutations in non-<italic>BRCA</italic> genes varied from 0 to 13.3% due to differences in ethnicity (<xref ref-type="bibr" rid="B27">Ow et&#x20;al., 2019</xref>). Using a 40 gene panel, another study found a non-<italic>BRCA</italic> gene mutation rate of 6.8% in a cohort of 937 Chinese breast cancer patients, with <italic>TP53</italic> (1.9%), <italic>PALB2</italic> (1.2%), <italic>CHEK2</italic> (0.6%) and <italic>ATM</italic> (0.6%) being the major non-<italic>BRCA</italic> genes identified (<xref ref-type="bibr" rid="B18">Li et&#x20;al., 2019</xref>). A recent study analyzed 1,338 Chinese high-risk breast cancer patients who tested mutation negative by a four-gene panel (<italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>PTEN</italic> and <italic>TP53</italic>) and found that pathogenic variants in cancer predisposition genes beyond <italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>PTEN</italic> and <italic>TP53</italic> were detected in an additional 4.6% of patients using a multigene panel, with <italic>PALB2</italic> (1.4%), <italic>RAD51D</italic> (0.8%) and <italic>ATM</italic> (0.8%) being the most commonly mutated genes (<xref ref-type="bibr" rid="B16">Kwong et&#x20;al., 2020</xref>). Herein, we retrospectively analyze 230&#x20;high-risk breast cancer patients who had undergone peripheral blood germline 72 multigene panel testing, with a <italic>BRCA</italic> mutation rate of 19.1%; 12.2% of the patients carried non-<italic>BRCA</italic> mutations. Consistent with previous studies, the major mutated non-<italic>BRCA</italic> genes were <italic>PALB2</italic> (2.2%), <italic>ATM</italic> (1.7%), <italic>RAD51D</italic> (1.3%) and <italic>TP53</italic> (1.3%).</p>
<p>Apart from the high-frequency mutated genes, pathogenic variants were also detected in another 11&#x20;non-<italic>BRCA</italic> genes (<italic>ATR</italic>, <italic>BARD1</italic>, <italic>BRIP1</italic>, <italic>ERCC3</italic>, <italic>FANCA</italic>, <italic>HOXB13</italic>, <italic>MLH1</italic>, <italic>MRE11</italic>, <italic>RAD51C</italic>, <italic>RAD54L</italic> and <italic>PMS2</italic>). In addition to the hereditary breast cancer susceptibility genes listed by NCCN, <italic>MLH1</italic> and <italic>PMS2</italic> are risk genes recommended by NCCN for multigene testing. However, there is insufficient evidence to prove that <italic>MLH1</italic> and <italic>PMS2</italic> are related to breast cancer risk and mutation carriers need to be managed based on family history. The remaining 6 genes, <italic>ATR</italic>, <italic>ERCC3</italic>, <italic>FANCA</italic>, <italic>HOXB13</italic>, <italic>MRE11</italic> and <italic>RAD54L</italic>, are not included in the risk genes recommended by NCCN guidelines. Among them, <italic>ATR</italic>, <italic>FANCA</italic>, <italic>MRE11</italic> and <italic>RAD54L</italic> are HRR genes. <italic>MRE11</italic>, together with <italic>RAD50</italic> and <italic>NBS1</italic> (<italic>MRE11-RAD50-NBS1</italic> complex), locates to the end of the double-strand breaks (DSBs) locus (<xref ref-type="bibr" rid="B14">Kinner et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B36">Wang et&#x20;al., 2014</xref>) and activates <italic>ATM</italic> through the interaction between <italic>ATM</italic> and <italic>NBS1</italic> (<xref ref-type="bibr" rid="B3">Bian et&#x20;al., 2019</xref>), triggering ataxia telangiectasia and <italic>ATR</italic> activation. <italic>ATM</italic> and <italic>ATR</italic> then phosphorylate downstream targets, including <italic>BRCA1</italic> and <italic>CHEK2</italic>. <italic>RAD54L</italic> binds double-strand DNA and induces a DNA topological change, which is thought to facilitate homologous DNA paring and stimulate DNA recombination. <italic>FANCA</italic> participates in the Fanconi anemia (FA) pathway, which is involved in DNA interstrand cross-link (ICL) damage repair and crucial for maintaining the integrity of the genome (<xref ref-type="bibr" rid="B23">Nakanishi et&#x20;al., 2011</xref>). <italic>ERCC3</italic> encodes an ATP-dependent DNA helicase that plays a role in the DNA nucleotide excision repair (NER) pathway. <italic>HOXB13</italic> encodes a transcription factor that belongs to the homeobox gene family and plays a role in fetal skin development and cutaneous regeneration. <italic>HOXB13</italic> gene mutations are often detected in prostate cancer patients. The correlation between these genes and the risk of hereditary breast cancer is not clear yet, and further studies are needed.</p>
<p>9.6% of high-risk breast cancer patients in our study carried non-<italic>BRCA</italic> HRR gene mutations. The current understanding of specific HRR genes is not comprehensive. Dana Sherill-Rofe and colleagues followed the coevolution of the HRR pathway across the eukaryotic life tree and defined a gold standard list of 79&#x20;well-established HRR genes. According to their function, these genes are divided into 6 parts: DSB recognition, end resection, FA pathway, regulation (DNA damage response), strand invasion and D-loop formation, synthesis and holiday junction processing (<xref ref-type="bibr" rid="B28">Pili&#xe9; et&#x20;al., 2019</xref>). Referring to the results of Dana Sherill-Rofe and taking intersection with the 72 multigene panel used in our study, we obtained 18 genes and defined these genes as HRR genes, including <italic>ATM</italic>, <italic>ATR</italic>, <italic>BARD1</italic>, <italic>BRCA1</italic>, <italic>BRCA2</italic>, <italic>BRIP1</italic>, <italic>CHEK1</italic>, <italic>CHEK2</italic>, <italic>FANCA</italic>, <italic>FANCI</italic>, <italic>MRE11A</italic>, <italic>NBN</italic>, <italic>PALB2</italic>, <italic>RAD50</italic>, <italic>RAD51B</italic>, <italic>RAD51C</italic>, <italic>RAD51D</italic> and <italic>RAD54L</italic>. Most patients with germline HRR gene mutations are not sporadic and have at least one first and/or second-degree relatives who also have a tumor, which indicates that the germline mutations of HRR genes are closely related to heredity (<xref ref-type="bibr" rid="B19">Li et&#x20;al., 2008</xref>). In addition, mutations of non-<italic>BRCA</italic> HRR genes show similar PARPi sensitivity as <italic>BRCA1/2</italic>. PARPi can lead to cell death via a synergistic effect known as &#x201c;synthetic lethality&#x201d; with homologous recombination deficiency (HRD) (<xref ref-type="bibr" rid="B39">Zhang et&#x20;al., 2012</xref>). The presence of pathogenic mutations in different non-<italic>BRCA</italic> HRR genes leads to difference responses to PARPi therapy. Abida et&#x20;al. studied the response to the PARPi rucaparib in metastatic castration-resistant prostate cancer (mCRPC) patients with non-<italic>BRCA</italic> DNA damage repair pathogenic gene mutations and found that tumors with <italic>ATM</italic>, <italic>CDK12</italic> and <italic>CHEK2</italic> mutations had a limited response to rucaparib, while tumors with <italic>BRIP1</italic>, <italic>FANCA</italic>, <italic>PALB2</italic> and <italic>RAD51B</italic> mutations benefitted from PARPis (<xref ref-type="bibr" rid="B20">Lin et&#x20;al., 2016</xref>). In addition to PARP, <italic>ATM</italic>, <italic>ATR</italic> and <italic>CHEK1/2</italic> may also be used for targeted therapy. The first <italic>ATR</italic> inhibitor, M6620, has been tested, and <italic>ATM</italic> inhibitors (such as M3541) are in clinical trials (<xref ref-type="bibr" rid="B40">Zhang et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B17">Lang et&#x20;al., 2017</xref>).</p>
<p>In terms of each risk factor, our results suggest that the frequencies of <italic>BRCA</italic> mutations in early-onset breast cancer, familial breast cancer, TNBC and bilateral breast cancer (19.4&#x2013;38.5%) are higher than those observed in other Chinese population studies (2.3&#x2013;12.5%) (<xref ref-type="bibr" rid="B9">Gavande et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B18">Li et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B30">Sherill-Rofe et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B1">Abida et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B13">Hirsch et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B8">Foo et&#x20;al., 2021</xref>) and the frequencies of non-<italic>BRCA</italic> mutations are also at a high level (7.7&#x2013;17.5%). However, no pathologic variants were observed in the male patients in our study. In contrast, previous studies reported a high <italic>BRCA1/2</italic> mutation frequency of 15.2&#x2013;15.4% and a non-<italic>BRCA</italic> mutation rate of 15.4% in Chinese male breast cancer patients (<xref ref-type="bibr" rid="B9">Gavande et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B18">Li et&#x20;al., 2019</xref>). Among high-risk factors, family history showed a correlation with both <italic>BRCA</italic> (<italic>p</italic>&#x20;&#x3d; 0.005) and non-<italic>BRCA</italic> HRR gene mutation status (<italic>p</italic>&#x20;&#x3d; 0.036). Besides, TNBC showed a correlation with <italic>BRCA1</italic> gene mutation status (<italic>p</italic>&#x20;&#x3d; 0.038).</p>
<p>Almost all high-risk patients in our study met the standards of <italic>the expert consensus on the recommendation of BRCA genetic testing for breast cancer patients in China</italic> (<xref ref-type="bibr" rid="B35">Wang et&#x20;al., 2018</xref>). The application of a multigene panel helped us to find 28&#x20;non-BRCA gene mutation carriers among 230&#x20;high-risk breast cancer patients. The latest <italic>consensus guidelines on genetic testing for hereditary breast cancer</italic> by the American Society of Breast Surgeons (ASBrS) recommends that all breast cancer patients should undergo multigene testing to assess whether they are at risk of hereditary cancer (<xref ref-type="bibr" rid="B21">Manahan et&#x20;al., 2019</xref>). <italic>The Chinese Anti Cancer Association (CACA) breast cancer diagnosis and treatment guidelines (2019)</italic> recommends multigene testing for the following three situations: 1) patients with a personal or family history of tumor; 2) testing results can be fully explained; 3) testing results are helpful to clinical screening, diagnosis and treatment (<xref ref-type="bibr" rid="B4">Breast Cancer Professiona, 2019</xref>). However, in current clinical practice, multigene testing is mainly used in advanced breast cancer patients who have failed by multiline therapies in China. A recent study conducted multigene panel testing for breast cancer patients who had not undergone genetic testing and found that up to 50% of carriers of pathogenic or likely pathogenic mutations did not meet the NCCN guidelines (<xref ref-type="bibr" rid="B26">O&#x2019;Leary et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B2">Beitsch et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B10">Gonz&#xe1;lez-Santiago et&#x20;al., 2020</xref>). All these indicate that the current standards for tumor polygene detection are still not perfect.</p>
<p>Among our cohort, 312 unique VUSs were identified among 175 (76.1%) patients and 65 different genes. However, the VUSs found in our cohort, including some rare variants, does not necessarily lead to the occurrence and development of tumors. The causes of tumors in these high-risk patients need to be further explored. On the one hand, reliable functional experiments are needed to reclassify the pathogenicity of VUSs. On the other hand, expanding genetic testing, such as whole-exome sequencing (WES) and whole genome sequencing (WGS), might help to reveal new breast cancer susceptibility&#x20;genes.</p>
<p>Our research has some innovations and limitations. We focused on the prevalence and spectrum of non-<italic>BRCA</italic>, especially non-<italic>BRCA</italic> HRR gene germline mutations in the Chinese population, which is very rare in previous studies. Meanwhile, we analyzed the correlations between the high-risk factors and non-<italic>BRCA</italic> and non-<italic>BRCA</italic> HRR gene mutation status, which showed consistency with previous studies. However, as a retrospective study, the sample size for each risk factor was not controlled for, especially for the male and bilateral breast cancer groups, which limited the discovery of other possible variations.</p>
<p>In summary, 12.2% of high-risk breast cancer patients in our study carried non-<italic>BRCA</italic> gene mutations, with <italic>PALB2</italic> (2.2%), <italic>ATM</italic> (1.7%), <italic>RAD51D</italic> (1.3%) and <italic>TP53</italic> (1.3%) being the major non-<italic>BRCA</italic> genes mutated. As a <italic>BRCA</italic>-related family history is associated with HRR mutations, we strongly suggest that breast cancer patients with a <italic>BRCA</italic>-related family history receive comprehensive gene mutation testing, especially HRR genes, which are not only related to high risk of breast cancer, but also potentially related to PARPi targeted therapy in China. The exact relationship of rare gene mutations to breast cancer predisposition and the pathogenicity of VUSs need to be further investigated. With the widespread use of NGS technology, we are expecting to discover more breast cancer susceptibility genes. Guidelines for multigene testing and management of mutation carriers should be compiled to benefit Chinese breast cancer patients.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are publicly available. This data can be found here: <ext-link ext-link-type="uri" xlink:href="https://www.biosino.org/node/project/detail/OEP002708">https://www.biosino.org/node/project/detail/OEP002708</ext-link>
</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of Fudan University Shanghai Cancer Center. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>XZ was responsible for the revision of the manuscripts. YS completed the writing. JL, DS, YZ and BY were involved in the design of the manuscripts. QY, YX, CY, JZ, QW, XZ and QB were involved in the experiment design and operation. YS, QY and YX completed the documentation and contributed equally to this manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This work was supported by Innovation Group Project of Shanghai Municipal Health Commission (2019CXJQ03), Innovation Program of STCSM (20Z11900300), Shanghai Science and technology development fund (19MC1911000) and Shanghai Municipal Key Clinical Specialty (shslczdzk01301).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>We thank all the patients and their families for participation. We also appreciate the work of the investigators, study coordinators, operation staff, and the whole project team involved in this&#x20;study.</p>
</ack>
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