Yu, Jianjun

PURPOSETumor tissue from metastatic castration-resistant prostate cancer (mCRPC) harbors frequent copy number variations (CNVs) in the PTEN-PI3K-AKT pathway. However, identifying CNVs in plasma cell–free DNA (cfDNA) has proven to be challenging. With emerging data supporting Akt inhibition in PTEN-deficient mCRPC, we profiled PTEN-PI3K-AKT pathway aberrations in patients with mCRPC using a novel cfDNA assay optimized for CNV detection.METHODSA next-generation sequencing–based cfDNA assay was used to profile 231 patients with mCRPC from two independent cohorts (Australian, n = 78; United States, n = 153). PTEN-PI3K-AKT pathway genomic aberrations were correlated with clinical outcomes, including progression-free survival and overall survival (OS).RESULTSPTEN loss and PIK3CA gain were detected in 37% (85 of 231) and 17% (39 of 231) of patients, respectively. Poorer outcomes were observed in patients with PTEN-PI3K-AKT pathway aberrations, including those with dual PTEN loss and PIK3CA gain (hazard ratio 2.3, 95% CI 1.2 to 4.4). Cumulative CNV burden in the PTEN-PI3K-AKT and androgen receptor (AR) pathways was associated with significantly worse clinical outcomes (0 v 1 v ≥ 2 CNVs in Australian cohort: median OS 33.5 v 17.2 v 9.7 months, P < .001; 0 v 1 v ≥ 2 CNVs in US cohort: median OS 35.5 v 14.3 v 9.2 months, P < .001). Notably, 21% (31 of 146) of PTEN-neutral patients harbored alternative PTEN-PI3K-AKT pathway aberrations.CONCLUSIONPTEN-PI3K-AKT pathway CNVs were readily detected using our cfDNA assay, with the prevalence of PTEN loss comparable with tissue-based studies. Additional PTEN-PI3K-AKT pathway aberrations were found in one fifth of PTEN-neutral cases. Concurrent CNVs in the PTEN-PI3K-AKT and AR pathways portended poor survival, and identifying this high-risk patient subset for dual AR/Akt inhibition may optimize precision treatment with Akt inhibitors in mCRPC.

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]

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.