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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Genet. | doi: 10.3389/fgene.2019.00909

Mutations in KIAA1109, CACNA1C, BSN, AKAP13, CELSR2, and HELZ2 are associated with the prognosis in endometrial cancer

Zhiwei Qiao1, Ying Jiang1, Ling Wang1, Lei Wang1, Jing Jiang1 and  Jingru Zhang1*
  • 1Liaoning Cancer Hospital, Cancer Hospital of China Medical University, China

Endometrial cancer (EC) is one of the most common gynecologic malignancies. Emerging studies had demonstrated the mutations in genes could serve as diagnostic or prognostic markers for human cancers. In this study, we screened mutated genes in EC and found that the mutations in KIAA1109, CACNA1C, BSN, AKAP13, CELSR2, and HELZ2 were correlated to the overall survival time in patients with EC. Bioinformatics analysis showed KIAA1109 was involved in regulating NIK/NF-kappaB signaling, CACNA1C was found to regulate cell migration and proliferation, BSN was found to regulate Wnt signaling pathway, CELSR2 was involved in regulating cell-cell adhesion, nuclear import, and protein folding, and HELZ2 was found to regulate multiple immune related biological processes. The findings provided a novel therapeutic strategy in patients with EC.

Keywords: endometrial cancer, Bioinformatics analyses, Mutation, Overall survival time, biomarkers

Received: 12 May 2019; Accepted: 28 Aug 2019.

Copyright: © 2019 Qiao, Jiang, Wang, Wang, Jiang and Zhang. 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 terms.

* Correspondence: Mx. Jingru Zhang, Liaoning Cancer Hospital, Cancer Hospital of China Medical University, Shenyang, 110042, Liaoning Province, China,