Abstract

Abstract Molecular characterization of metastatic castration-resistant prostate cancer (mCRPC) is limited by tumor tissue availability. The analysis of circulating tumor cells (CTCs) offers an attractive non invasive surrogate option to analyze molecular alterations. We report whole exome sequencing (WES) of CTCs at the single cell level in 11 mCRPC patients. We examined single somatic nucleotide variant (sSNV) shared between matched metastatic tumor sample and CTCs and sSNV specific to CTCs. Blood samples were drawn from 11 patients enrolled in the clinical program MOSCATO (2011-A00841-40). CTC enrichment, detection and single cell isolation were performed using three methods to obtain pools of 1-10 CTCs. The first method used ISET filtration, immunofluorescent staining (CD45, pan-cytokeratin, EpCAM, Vimentin and Hoechst 33342) on filters and laser microdissection of single CTCs; the second combined CellSearch and the VyCap puncher system; the third used RosetteSep enrichment, immunofluorescent staining and isolation by cell sorting. Whole Genome Amplification (WGA) was performed using the Ampli1 kit. WGA quality was assessed by qPCR of 7 genes located on different regions of the genome. WES was performed by preparation of a genomic DNA bank, Agilent capture and sequencing on the Illumina HiSeq 2000 platform. Data were aligned to the human genome reference hg19. GATK Haplotype Caller enabled identification of germline polymorphisms from each patient in normal DNA, metastatic sample and CTCs in order to consider WGA induced bias. The detection of sSNV in tumor biopsies and CTCs was assessed with Mutect and IndelGenotyper respectively. 189 WGAs of CTC pools were performed. A first round of WES showed that at least 3 well amplified genes were required to obtain a coverage of at least 50% at 10X depth sequencing. 34 pools of phenotypically different CTCs from 7 patients were selected and sequenced. Mean coverage of 51% was obtained at a sequencing depth of 10X. Allelic drop out was lower for CTC pools containing 5 to 10 cells. 17/34 (50%) CTC samples (4 patients) had shared sSNV with the paired tumor sample (range 0.35%-68%). Epithelial CTCs had more shared sSNV with metastatic biopsies than CTCs of other phenotypes but shared sSNV were also detected in large Cytokeratin-Vimentin- CTC. Shared sSNV in cancer genes between epithelial CTC pools, but not in the paired biopsy, were present in 2 patients. We report WES of CTC pools harboring distinct EMT marker phenotypes is possible with the use of 3 different approaches to enrich, detect and isolate CTCs. The detection of shared sSNV between CTC pools and corresponding biopsy could validate the use of CTCs as a liquid biopsy. The finding of sSNV specific to CTCs could offer additional data on tumor heterogeneity. Ongoing work examining if sSNV detected in phenotypically different CTCs converge to similar signaling pathways will be presented. Citation Format: Vincent Faugeroux, Céline Lefebvre, Emma Pailler, Valérie Pierron, Fanny Billiot, Charles Marcaillou, Philippe Vielh, Semih Dogan, Philippe Rameau, Maud Ngocamus, Jean Charles Soria, Karim Fizazi, Yohann Loriot, Sylvia Julien, Françoise Farace. Whole-exome sequencing of single circulating tumor cells according to epithelial-mesenchymal marker expression in metastatic prostate cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4953.

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