Abstract

274 Background: Molecular profiling of prostate cancer using liquid biopsies such as CTC capture and cell-free nucleic acid analysis yield informative yet distinct datasets. Additional insights may be gained by simultaneously interrogating multiple liquid biopsy components to construct a more comprehensive molecular disease profile. We have conducted an initial proof of principle study aimed at piloting this multi-parametric approach. Methods: Blood was drawn under an IRB-approved protocol from 20 mCRPC patients. Samples were analyzed simultaneously for the following: CTC enumeration and single CTC and matched white blood cell capture for whole genome amplification and low-pass copy number variation; CTC DNA and matched cfDNA for somatic single nucleotide variant analysis; plasma cfRNA extraction and qRT-PCR for AR, AR-V7, and PCA3. When available, liquid biopsies were compared with matched tumor profiles. Results: Fifteen of 20 patients (75%) had detectable CTCs by CellSearch (range: 1-692/7.5mL, median: 16.5/7.5mL). Thirteen of 20 patients (65%) had detectable SSNVs in CTC DNA and/or matched cfDNA, including mutations in TP53, PIK3CA, HRAS, and EGFR. Matched CTC DNA and cfDNA demonstrated both shared and distinct SSNVs. Copy number analysis of single CTCs was performed in 2 patients, and both had CNVs in multiple cancer relevant genes. A majority of CNVs were present in matched solid tumor profiles, but some were exclusive to the liquid biopsies. Plasma PCA3 and AR transcripts were detected in 18/20 (90%) and AR-V7 in 4/20 (20%) cfRNA samples. Unique SSNVs were detected at second time points at disease progression (more are being collected). Conclusions: In this pilot cohort, simultaneous multi-parametric profiling was feasible for CTC DNA mutations and CNVs, and matched plasma cfDNA mutations and cfRNA gene expression. These disease-specific molecular profiles were often concordant with tumor tissues but also contained new, potentially actionable alterations unique to CTC DNA or cfDNA. Expanded studies will build upon this approach to optimally leverage liquid biopsies for molecularly directed patient management.

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