Ng, Charlotte K.Y.

Abstract Background:All carcinomas contain a variable proportion of benign stromal and immune cells, limiting the sensitivity in the identification of somatic genetic alterations. The average tumor purity of squamous cell carcinomas (SCC) of the lung is only around 50%. Low tumor content in tumor samples represents a challenge in studying intratumoral genomic heterogeneity in cancer research. Here, we applied flow-sorting to enrich for tumor cell nuclei to investigate the clonal relationship of primary SCC and matched metastases. Methods:Tumor tissues from 16 patients with primary SCC of the lung and matched metastases were used. We implemented a flow-sorting based approach to enrich for tumor nuclei as followed: after extraction of nuclei from snap-frozen or FFPE tissue, they were flow-sorted by DNA content (ploidy) and cytokeratin expression of the adherent cytoplasm, using a pan-cytokeratin (pCK) antibody. Isolated diploid and aneuploid pCK-positive tumor cell populations were subjected to whole exome sequencing (WES). DNA from diploid pCK-negative populations was used as germline control. Mutational profile and copy number aberrations (CNA) were determined to infer the clonal relationship and evolution between the primary tumors and their metastases. Results:Our flow-sorting based approach was able to enrich tumor content from 20%-50% to more than 80%-90% and to distinguish between aneuploid and diploid tumor cell populations from bulk tumor tissues. It enabled the identification of somatic mutations and CNA in both, aneuploid and diploid tumor cell populations, including potential subclonal driver mutations in ARID1A and KDM6A at low allelic frequencies. Shared and private mutations were observed in matched longitudinal tumor samples of individual patients and in synchronous distant metastases. Ploidy did not change significantly between primary tumors and relapse or distant metastases. Conclusion:We present a flow-sorting based method to enrich for tumor cell nuclei to facilitate genomic analysis, which also enabled separate analysis of aneuploid and diploid tumor populations. Our results show that the enrichment approach can be used to decode the clonal evolutionary relationship between primary tumors and their matched metastases, even in samples with low tumor cell content. Citation Format: Arthur Krause, Maria R. De Filippo, Thomas Lorber, Tanja Dietsche, Valeria Perrina, Christian Ruiz, Michael T. Barrett, Salvatore Piscuoglio, Charlotte K. Ng, Lukas Bubendorf. Enriching tumor purity using a unique flow-sorting approach to elucidate clonal evolution in matched samples of squamous cell carcinoma of the lung [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4699.

AbstractHomologous recombination (HR) DNA repair‐deficient (HRD) breast cancers have been shown to be sensitive to DNA repair targeted therapies. Burgeoning evidence suggests that sporadic breast cancers, lacking germline BRCA1/BRCA2 mutations, may also be HRD. We developed a functional ex vivo RAD51‐based test to identify HRD primary breast cancers. An integrated approach examining methylation, gene expression, and whole‐exome sequencing was employed to ascertain the aetiology of HRD. Functional HRD breast cancers displayed genomic features of lack of competent HR, including large‐scale state transitions and specific mutational signatures. Somatic and/or germline genetic alterations resulting in bi‐allelic loss‐of‐function of HR genes underpinned functional HRD in 89% of cases, and were observed in only one of the 15 HR‐proficient samples tested. These findings indicate the importance of a comprehensive genetic assessment of bi‐allelic alterations in the HR pathway to deliver a precision medicine‐based approach to select patients for therapies targeting tumour‐specific DNA repair defects. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.