Wang, Liang

260 Background: NGS to identify HRR mutations (mut) is indicated in advanced prostate cancer (aPC); samples for testing may be tissue or plasma. In a large real-world (RW) database, we determined concordance between plasma ctDNA and primary tumor tissue (PT) and/or metastatic tissue (MT) for BRCA1, BRCA2, and ATM mut in PC patients (pts) who received both LB and tissue NGS any time during standard of care (SOC) management. The study objective was to assess the utility of LB to detect actionable mut in these HRR genes and demonstrate the utility of combined LB and tissue testing. Methods: We examined de-identified data from pts who had NGS using both Tempus xF (105 genes-LB) and Tempus xT (648 genes-tissue) during SOC for aPC. Analyses included 1) PT and LB and 2) MT and LB. The results from the pts’ earliest PT or MT and earliest LB were used for paired analyses. The prevalence of a pathogenic/likely pathogenic germline and/or somatic mut in BRCA1, BRCA2, or ATM was reported as N (%), 95% CI. The sensitivity of the LB to identify observed HRR mut in tissue was also reported as N (%), 95% CI. Concordance between pairs was evaluated by Cohen’s kappa statistic with 95% CI. Results: HRR results are show for 1074 PC pts who had NGS performed on PT and LB and 451 PC pts with NGS on both MT and LB. In the PT and LB analysis, HRR mut were found in 6.2% (95% CI: 4.9%-7.9%) of LB and 8.8% (95% CI: 7.2%-11%) of PT. The sensitivity of LB to detect HRR mut in the PT was 53% (95% CI: 43%-64%). Cohen’s kappa statistic was 0.59, 95% CI=0.50-0.68, between PT and LB. In the MT and LB analysis, HRR mut were found in 10% (95% CI 7.8%-14%) of LB and 10% (7.6%-13%) of MT. The sensitivity of LB to detect HRR mut in the MT was 70% (95% CI: 54%-82%). Cohen’s kappa statistic was 0.65, 95% CI=0.54-0.77, between MT and LB. Conclusions: In this large RW dataset, plasma ctDNA-based analysis of BRCA1, BRCA2, and ATM mut showed greater concordance between LB and MT than LB and PT, and may be used as an initial tool for HRR mut detection. When LB results are negative, further exploration with tissue-based testing may identify HRR mut to guide clinical decisions. [Table: see text]

Prostate cancer (PCa) accounted for more than 34,000 deaths in US males [...]

Abstract Background: Androgen receptor (AR) amplification is a common genomic event in advanced prostate cancer, in particular, the metastatic castration-resistant prostate cancer (mCRPC) and is associated with poor treatment response and short overall survival (OS). Recent studies also show more frequent amplification at AR enhancer region in the mCRPC patients. The aim of this study is to evaluate clinical utility of multiplex digital PCR assay to detect amplification at AR locus in cell-free DNA (cfDNA) for prognostication of mCRPC. Methods: Plasma samples were collected from 108 patients with mCRPC before stage-specific treatment. The target regions were selected based on our previous sequencing data showing frequent amplification in mCRPC patients at AR loci, including AR enhancer, AR (AR exon 1 and exon 8) and OPHN1 (downstream of AR). Multiplex digital PCR assays to detect four targets were developed by adjusting the concentrations of primers and probes. The Kaplan-Meier (KM) estimate was used for OS analysis. Results: We first examined existing databases to determine relative stable genomic regions in prostate cancer. This analysis showed most stable regions in three gene loci including C2orf16 at 2p23.2, FAM111B at 11q12.1, and GRIA3 at Xq25, which were then used as reference controls for copy number normalization. We then designed two multiplex digital PCR assays to quantify copy number of selected targets. To separate two different targets with same fluorescence, we adjusted ratio of FAM-labeled probes with 1: 0.4 and HEX-labeled probes with 1:0.4. The ratio of FAM to HEX probes was 1:1.5 in final assays. The combination of four different targets in one reaction gave 9 possible clusters in the 2D amplitude space. We defined the amplification as the normalized ratio ≥ 1.8 between target and reference loci. By applying this cutoff in 108 mCRPC samples, we detected the amplification of AR-enhancer, AR and OPHN1 in 38, 34, and 25 samples, respectively. KM analysis showed the significant association of amplification in AR-enhancer (p=0.0053, HR=2.16[1.41-6.53]), AR (p=0.04, HR=1.74[1.04-4.03]) and OPHN1 (p=0.031, HR=1.91[1.07-5.53]) with OS. This result was consistent with whole genome sequencing data in the same group of patients. Conclusions: We established a highly sensitive multiplex digital PCR assay to detect copy number changes of AR, AR enhancer and OPHN1 in plasma cfDNA and demonstrated its potential clinical use as non-invasive testing tool for mCRPC prognosis. The easy-to-use and low-cost multiplex digital PCR assay covers multiple gene loci, which can aid in improving the sensitivity of detecting amplification at AR locus in the highly heterogeneous mCRPC patients. Citation Format: Meijun Du, Chiang-Ching Huang, Winston Tan, Manish Kohli, Liang Wang. Clinical utility of multiplex digital PCR to detect androgen receptor amplification in cell-free DNA for prognosis of metastatic castration-resistant prostate cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4319.

Amplification of androgen receptor (AR) is a common genomic event in metastatic castration-resistant prostate cancer (mCRPC). To evaluate the prognostic value of the amplifications of specific loci in the AR gene in cell-free DNA, we developed a multiplex digital PCR (dPCR) assay that targeted AR enhancer (AR-En), AR exon 1 (AR-E1), AR exon 8 (AR-E8) and OPHN1 (downstream of AR). We selected three relatively stable genes, C2orf16, FAM111B, and GRIA3, as reference controls for copy number normalization. One hundred and eight mCRPC patients were recruited to test the association of specific AR loci amplification with clinical outcome. Using a normalized ratio ≥ 1.92 as cutoff, amplification of AR-En, AR-E1, AR-E8 and OPHN1 was observed in 28, 25, 24 and 19 of 108 mCRPC patients, respectively. Among the 41 patients with AR region amplification, 9 (21.9%) showed amplification at all four selected regions and 15 (36.6%) showed amplification at AR-En, AR-E1, and AR-E8. Six (14.6%) patients showed independent AR-En amplification, while the remaining 3 (7.3%) demonstrated AR-E8 amplification only. Kaplan–Meier analysis showed overall survival’s association with the amplification of AR-En (p = 0.02, HR = 1.68 (1.07–2.65)), AR-E8 (p = 0.02, HR = 1.78 (1.08–2.92)) and AR-En-E8 (the combination of AR-En and AR-E8 (p = 0.009, HR = 1.77 (1.15–2.73)). Multivariate models that included AR-En-E8 amplification and clinical factors significantly improved prognostic performance (p = 0.0001). With further validation, the multiplex dPCR assay may assist in prognostication of mCRPC patients.

Genome-wide association studies have identified over 150 risk loci that increase prostate cancer risk. However, few causal variants and their regulatory mechanisms have been characterized. In this study, we utilized our previously developed single-nucleotide polymorphisms sequencing (SNPs-seq) technology to test allele-dependent protein binding at 903 SNP sites covering 28 genomic regions. All selected SNPs have shown significant cis-association with at least one nearby gene. After preparing nuclear extract using LNCaP cell line, we first mixed the extract with dsDNA oligo pool for protein–DNA binding incubation. We then performed sequencing analysis on protein-bound oligos. SNPs-seq analysis showed protein-binding differences (>1.5-fold) between reference and variant alleles in 380 (42%) of 903 SNPs with androgen treatment and 403 (45%) of 903 SNPs without treatment. From these significant SNPs, we performed a database search and further narrowed down to 74 promising SNPs. To validate this initial finding, we performed electrophoretic mobility shift assay in two SNPs (rs12246440 and rs7077275) at CTBP2 locus and one SNP (rs113082846) at NCOA4 locus. This analysis showed that all three SNPs demonstrated allele-dependent protein-binding differences that were consistent with the SNPs-seq. Finally, clinical association analysis of the two candidate genes showed that CTBP2 was upregulated, while NCOA4 was downregulated in prostate cancer (p < 0.02). Lower expression of CTBP2 was associated with poor recurrence-free survival in prostate cancer. Utilizing our experimental data along with bioinformatic tools provides a strategy for identifying candidate functional elements at prostate cancer susceptibility loci to help guide subsequent laboratory studies.

Abstract Introduction: Survival in mCRPC stage is heterogeneous and in this stage no molecular predictors of survival are known. Elevated circulating tumor cell (CTC) counts (&gt;5/7.5 ml blood CellSearch® assay) is the only FDA cleared prognostic biomarker in mCRPC stage that predicts poor prognosis but is not routinely performed in clinical practice. We evaluated a novel plasma cfDNA based molecular algorithmic score which is based on copy number variations (CNVs) in multiple candidate genes as a prognostic predictor of survival and also compared it to CTCs. Methods: We obtained biospecimens in a prospective cohort study (NCT#01953640) conducted in mCRPC patients who demonstrated progression on androgen deprivation therapy and were candidates to initiate pre-chemotherapy abiraterone acetate/prednisone (AA/P). Biospecimen collection was performed prior to initiating AA/P and included plasma and CTCs, both obtained at the same time. All samples underwent uniform processing. Cellsearch® assay was used for enumerating CTC counts. Plasma cfDNA was extracted using Qiagen whole blood kit and low pass sequencing was performed in the extracted plasma cfDNA and germline DNA. An algorithmic score based on CNVs in 13 candidate genes was developed after calculating an Absolute Log2 Ratio (ALR) for each pre-selected gene. The sum of ALRs for these 13 genes were combined to make a “Plasma Genome Abnormality” (PGA) score which was evaluated for association with the primary endpoint of overall survival (OS) using Hazard ratio (HR) with significance set at p ≤ 0.05. Association of concurrently collected CTC counts with OS was also determined. The PGA score based survival was adjusted for CTC counts in the final analysis. Results: Plasma and CTCs were available for analysis in 72/90 enrolled patients between 05/2013 and 09/2015 with the last enrolled patient having completed 23.5 months follow-up. 45/72 patients have died of cancer progression and the median OS of the cohort is 26.5 months (IQR: 19-46). The median plasma cfDNA amount obtained was 7.2 (Range: 1.6-70.4)ng/ml plasma and the median CTC count is 1/7.5ml blood (range: 0-308). The median PGA score was 1.108 (Range: 0.56-6.96) and the CNV based PGA score was observed to be associated with OS (HR: 1.63; 95% C.I: 1.144, 2.308); p-value= 0.0066). Association of elevated CTC counts (≥ 5/7.5 ml blood) with OS showed a statistically significant trend (HR: 1.92; CI: 0.99 - 3.7; p-value 0.051). After adjusting for CTC counts, an increased PGA score remained predictive of poor survival (HR: 1.52; 95% CI: (1.04, 2.21); p-value 0.028). Conclusions: In this cohort the PGA score, a molecular algorithm predictor based on plasma cfDNA copy number variations in candidate genes was a better prognostic marker of survival than CTC counts and potentially offers a biomarker tool which could be adopted for wider clinical application. Citation Format: Manish Kohli, Meijun Du, Liang Wang, Chiang-Ching Huang. Prognostic association of plasma cell free DNA (cfDNA) copy number variation based algorithmic score with survival in metastatic castration resistant prostate cancer (mCRPC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4588.

Abstract Background: Abiraterone acetate/prednisone (AA/P) is used for treatment of metastatic castration-resistant prostate cancer (mCRPC), but response is variable and there are no known molecular predictive factors. Methods: We prospectively collected germline and plasma specimens from 72 mCRPC patients progressing on androgen-deprivation therapy (ADT) before initiating AA/P treatment (baseline) and serially after 12 weeks of treatment. After extracting cell-free DNA (cfDNA), we performed copy number analysis using low pass whole-genome sequencing approach. The primary endpoints were to determine association with response and survival. Cox regression and Kaplan-Meier survival analyses were used to associate the CNV with overall survival (OS) and progression-free survival (PFS) with statistical significance at p≤0.05. For determining primary resistance to AA/P, responders and nonresponders were defined as patients showing no progression or progression after 12 weeks treatment. T-test was used to evaluate the CNV with AA/P response at 12 weeks. Results: Whole-genome sequencing generated approximately 8.0 million mappable sequence reads per subject (total plasma samples sequenced, n=144). By comparing cfDNA to germline control DNA, our copy number analysis showed significant genomic abnormalities in 37 of 144 plasma samples. We observed the most frequent amplification of 1q, 8q, Xq and deletion of 2p, 6q,10q, 13q. Among these CNVs, amplification of MYC at 8q24.21, AR at Xq12, deletion of FOXP1 at 3p14, PTEN at 10q23.31, RB1 at 13q14.2, TP53 at 17P13.1, and gene fusions (TMPRSS2:ERG) were consistent with previous reports from tumor tissue-based studies. Survival analysis showed significant association of a fragment deletion at 13q14-32 with both OS and PFS (FDR= 0.0207/0.0141). The most significant fragment showing association with OS was the deletion of fragment at 2p22.1-p14 (FDR=0.00219). Genomic gains of MYC at 8q24.21 and NCOA2 at 8q13.3 were associated with PFS with FDR= 0.0085 and 0.0072, respectively. By comparing baseline CNVs between responder and nonresponders, we identified significant association of the deletion of PTEN at 10q23.31 (p= 0.0003), RB1 at 13q14.2 (p= 0.0008) and amplification of NCOA2 at 8q13.3 (p= 0.0030) with AA/P response/resistance at 12 weeks. Although statistical analysis showed the significant CNV change at AR locus between baseline and 12-week post-AA/P treatment (p=0.0002), the CNV change was not significantly different between responders and nonresponders (p=0.1697). Conclusions: cfDNA CNV may serve as a sensitive biomarker for prediction of treatment response to AA/P. Further detailed CNV and clinical association analyses are needed to fully validate the potential clinical utilities of cfDNA-based liquid biopsy for clinical management. Citation Format: Meijun Du, Manish Kohli, Chiang-Ching Huang, Liang Wang. Genomic alterations in plasma cell-free DNA predict treatment response to abiraterone acetate and prednisone and survival in metastatic castration-resistant prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1077.