Editorial: Methods in cancer genetics

. describe a method for a fast and accurate detection of interspecies contamination in PDX models and cell

reliability of results when assessing the efficacy of in vitro drug experiments, and especially those for preclinical personalised therapies. One human ascites-derived PDX model described in the manuscript, from which tumour tissue was excised for the purpose of creating a patient-derived cell line, contained 28.08% murine cells. Three different subpopulations of cells were identified, both human and murine. Over time, in vitro passage of this cell line resulted in the purely murine cells that displayed greater in vivo tumourigenic properties than the human subpopulation. This rapid and sensitive qPCR-based method for detecting contamination of human PDX tumours has the potential to reduce the frequency of highly contaminated or misidentified human-derived xenograft models and the cell lines generated from them.
PCR-based methods can also be deployed for sensitive detection of somatic copy number variations in cancer. While methodologies for detecting oncogene amplification exist, the detection of somatic copy number loss is less frequently utilised due to lack of sensitivity or high cost of currently available methods. CDKN2A deletions are common in somatic cancer tissue and present clinically significant and actionable targets for therapies (2,3). Tian et al. estimated common deletion regions (CDRs) in various tumour suppressor genes, including CDKN2A. The frequency of the 5.1kb CDR, which covers exon-2, was found in >90% of CDKN2A-deleted cancers. They subsequently developed a quantitative multiplex PCR assay P16-Light for the detection of somatic copy number loss in the gene and validated their findings using WGS (Tian et al.).
Long non-coding RNAs (lncRNAs) includes transcripts no longer than 200 nt, without specific protein coding functions. In the recent years, lncRNAs have been arousing more and more interest due to their potential application in the diagnosis of tumours and in the development of new therapies. Wang et al. used qRT-PCR to investigate lncRNAs expression in fresh colorectal cancer (CRC) tissues and adjacent tissues, finding 3,006 differentially expressed lncRNAs (Wang et al.). Among them, they focused on lncRNA 604, whose expression in CRC tissues was verified by FISH, finding higher lncRNA 604 expression in CRC tissues respect to normal tissues. Interestingly, low expression of lncRNA 604 was significantly associated to prolonged overall survival in CRC patients, respect to patients showing high expression of lncRNA 604. Biological function of lncRNA 604 has been investigated and in vitro experiments performed in different cell models of CRC demonstrated that lncRNA 604 promotes cell proliferation, migration and invasion. LncRNA 604 also inhibit AEG-1 by combining with miRNA564 in the cytoplasm and could regulate the nuclear transcription factor ZNF326 in the nucleus. In vivo experiments suggest lncRNA 604 promotes metastasis and chemoresistance.
PCR is but one technology that can be utilised for cancer genetics research. Repurposing of existing and established techniques, such Short Tandem Repeat (STR) identification from forensics was applied by Chen et al., along with next-generation sequencing (NGS) for tumour source identification (Chen et al.). To date, the STR status in tumours has been determined by capillary electrophoresis (CE). This approach allowed the classification of five STR statuses. Being heterogeneous, tumours are composed of a mixture of cells with different STR statuses, which need a method of detection sensitive enough to allow for profiling and discrimination of those differences. Thus, the authors employed NGS, known to be a highly sensitive application for tumour source identification. In this paper, both CE and a general recognised method of NGS have been employed to profile a total of 55 paired tumour samples, including different tumour histotypes and peripheral blood samples from 75 subjects. Comparing the obtained results, the authors observed a concordance of 91.43%. between the two approaches. The authors also generated a more sensitive NGS method for tumour source identification, helpful to identify more germlineoriginated alleles.
Ultimately, all cancer genetics research aims to positively impact diagnosis, patient care and clinical decision making. Careca and Radice implemented assays based on reassembly of Green Fluorescent Protein (GFP to assess the effects of sequence mutation of BRAC1 classified as variants with uncertain significance (VUS) in breast cancer (BC) (Careca and Radice). The risk of developing BC is cumulatively increased with the presence of the so-called germline pathogenic variants (PVs) in the BRCA1 and BRCA2 genes commonly recognised as tumour suppressor genes. The usefulness of sequencing BRCA1 and BRCA2 is often limited by the occurrence of VUS, whose protein function and clinical relevance are unknown. In this paper, Careca and Radice aimed to generate an experimental approach useful to characterise the function of eight selected variants localised to the RING finger and BRCT domains of BRCA1. Performing in vitro GFP-reassembly screening they evaluated how these variants could modify the binding of the RING finger and BRCT domains with UbcH5a or ABRAXAS, respectively. In order to verify whetherBRCA1-ABRAXAS binding assay was able to correctly discriminate among pathogenic and non-pathogenic variants, the authors analysed a panel of variants classified according to the IARC 5class model (Leiden Open Variation Database, URL: http://hciexlovd.hci.utah.edu/variants.php) (4). Subsequently, Careca and Radice used in vivo semi-quantitative Mammalian Two-Hybrid approach to validate the data obtained from the GFP-reassembly screening. Finally, the authors combined the results of their assays with those described in the "Hi Set" study (5), clarifying the functional significance of BRCA1 VUS and on their clinical interpretation within the ACMG/AMP framework (6).
These five manuscripts describing methods provide an example of how novel applications of tools can be used by researchers and clinicians to interrogate cancer tissues, cell lines and models in the field of cancer genetics.

Author contributions
Writing, review, and editing: SD and PB. All authors contributed to the article and approved the submitted version.

Funding
The manuscript is supported by grant from IRCCS Regina Elena National Cancer Institute (SD, Ricerca Corrente 2021-2022).

Conflict of interest
Author PB declares being a shareholder and Board Member of Gene42 Inc. o/a PhenoTips.
The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest Publisher's note 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.