Jia, Shidong

160 Background: mCRPC is a heterogeneous disease state with variable survival and molecular markers that define survival continue to be determined. We applied a 120 gene panel based targeted next-gen sequencing (NGS) approach to probe plasma ctDNA based outcomes for survival. Methods: mCRPC chemo-naive patients (pts) were enrolled in a prospective study and plasma cell free DNA (cfDNA) extracted. ctDNA fractions estimated based on somatic variants. NGS of plasma cfDNA was performed using HiSeq X Ten on a panel of 120 genes (PredicineLDT). Clinical and molecular prognostic factors were determined for overall survival (OS). Cox proportional hazard regression was used to estimate hazard ratios (HR) at the univariate level and only significant associations included in multivariate analysis (significance at P<0.05). Results: 96 mCRPC pts were enrolled. 17/96 pts failed NGS QC. Median cfDNA, ctDNA yields for 79/96 pts are provided in Table. Median follow up for study cohort was 92.5 months (mon) (Range:62.3-109.6); median survival time was 25.9 mon (95% CI:19.9, 31.4) and 72/79 pts had died. TMPRSS2-ERG fusion was detected in 18/79 pts. Significant alterations associated with OS are listed in Table. 49/59 pts underwent subsequent docetaxel chemo. In chemo treated pts significant copy number alterations predictive of survival included AR amplification (p=0.01, HR=2.0, 95% CI[1.2, 3.5], RB1 loss (p=3.20E-06, HR=5.0, 95% CI[2.4, 10.6], PTEN(p=0.009, HR=2.6, 95% CI[1.2, 5.4]), CDH1(p=0.001, HR=4.3, 95% CI[1.6, 11.4]). Conclusions: ctDNA yield in mCRPC state was the most significant prognostic factor for survival, Several specific plasma genomic perturbations were observed topredict docetaxel efficacy and need further evaluation.[Table: see text]

5047 Background: We identified plasma cell free DNA (cfDNA) based copy number variations (CNV); single nucleotide variants (SNVs) & TMPRSS-ERG fusion in four sub states of metastatic prostate cancer (mPCa) and determined the impact on survival. Two mHSPC cohorts included treatment naïve, gp-1 and mHSPC patients (pts) responding to chronic androgen ablation (AA) (gp-2). Two mCRPC cohorts included mHSPC pts with PSA relapse on chronic AA (gp-3) and a clinically progressive mCRPC cohort post AA (gp-4). Methods: Enrollment of mPCa pts was performed from 2009-14 who were followed until 2018. Plasma from collected blood was used for extracting cfDNA. NGS was performed using Illumina HiSeq X for a preselected target panel of 129 genes including DNA damage repair genes. Statistical analyses of genomic aberrations were performed in R 3.5.1 and Cox proportional-hazard models were used for survival analyses. Results: A total of 255 pts were enrolled with 215 having adequate cfDNA that passed NGS QC. Median study follow up was 90.2 (Range:73;99) months. The table highlights pts in each gp with CNV, SNV, fusion events. ARamplification was higher in mCRPC gps3&4 (20/103 pts) compared to 3/106 pts in mHSPC gps1&2 (p < 0.001) and was prognostic for poor survival in mCRPC (p < 0.001;HR:3.34; 95%CI: 1.9-5.76). 54/103 pts in gp3&4 had SNVs in TP53 compared to 34/106 pts in mHSPC gps1&2 (P < 0.01). SNVs in APC, AR, CDK12 and BRIP1 were also increased in gps3&4 (p < 0.01). Gp1 mHSPC pts with SNVs in ATM/ CHEK2 had shorter response to AA (p < 0.001; HR:3.66; 95%: CI:1.81-7.39). Conclusions: Plasma cfDNA based somatic aberrations are detected with increased prevalence in mHSPC to mCRPC states. The ease of specimen collection and the need for molecular profiling in mPCa increases its potential for clinical applications in pt care. [Table: see text]

242 Background: We evaluated plasma cell free based genomic aberrations for prognosticating survival of newly diagnosed metastatic hormone sensitive prostate cancer (mHSPC) patients (pts). Methods: Plasma was collected from mHSPC pts enrolled between 2009-2014. Platelet poor plasma (PPP) fractions were processed uniformly and cell free DNA (cfDNA) extracted using Qiagen kits. Pts were followed after initiating hormonal therapy until death. Next Gen Sequencing (NGS) of cfDNA was performed using Illumina HiSeq X for a preselected panel of 128 genes (PredicineDDR-77 cancer driver genes; 29 genes in BRCA-FA homologous recombination deficiency (HRD) pathway; 22 DNA damage repair pathway genes). Statistical analyses of plasma genome based aberrations with overall survival (OS) were performed in R 3.5.1. Cox proportional-hazard models were used for survival analysis. Results: An average of 2.5 ml PPP from 99 pts yielded a median of 10.5 ng (range: 2.8-702) cfDNA per sample. 15/99 pt samples with a yield < 5 ng were excluded from sequencing; 9/99 samples failed NGS. Median follow-up time was 80.2 months (mths) (Range: 74.7, 87]); median OS was 69.1 mths (range: 54,NR). 29 pts with full NGS data had high volume metastatic disease. cfDNA yield correlated with metastatic volume (P = 0.01). Univariate analysis revealed both variables prognostic for OS (Metastatic volume: log-rank P=0.01, HR=2.1, 95% CI: 1.1-3.8; cfDNA yield: P =0.04, HR = 1.3, 95% CI: 1.03-1.7). Multivariate regression showed prognostic value of cfDNA yield remained independent of metastatic volume (P = 0.03, HR = 1.34, 95% CI: 1.02-1.76). 54/67 samples with NGS data had at least one mutation/copy number variation detected. Top mutated genes included TP53 (N=18), ATM (N=9), CHEK2 (N=7), FANCM (N=6), RB1 (N=6), BRCA2 (N=5), PIK3CA (N=4) and 37/67 pts harbored 1≥ variant in HDR pathways. These pts had a shorter survival (median: 58.6 mths) (P=0.04, HR= 2.28, 95% CI: 1.01-5.18) and pts with ATM mutations did significantly worse (median survival: 47.4 mths) (HR=4.03, P=0.0005, 95% CI: 1.73-9.37). Conclusions: Plasma cfDNA yield is prognostic for survival in newly diagnosed mHSPC state and presence of HRD pathway genomic aberrations in plasma cfDNA are associated with poor survival.