Feasibility and performance of a novel probe panel to detect somatic DNA copy number alterations in clinical specimens for predicting prostate cancer progression. Issue 14 (17th August 2020)

• Record Type: Journal Article
• Authors: Liu, Wennuan; Hou, Jun; Petkewicz, Jacqueline; Na, Rong; Wang, Chi‐Hsiung; Sun, Jishan; Gallagher, Johnie; Bogachkov, Yedida Y.; Swenson, Laura; Regner, MaryAnn; Resurreccion, W. Kyle; Isaacs, William B.; Brendler, Charles B.; Crawford, Susan; Zheng, S. Lilly; Helfand, Brian T.; Xu, Jianfeng
• Is Part Of: Prostate. Volume 80:Issue 14(2020)
• Page Start: 1253
• Page End: 1262
• Publication Date: 2020-08-17
• Subjects: probe panel -- prostate cancer progression -- somatic CNA; Prostate -- Diseases -- Periodicals; 616
• DOI: 10.1002/pros.24057
• Languages: English
• ISSNs: 0270-4137

Abstract

Abstract: Background: To assess the feasibility of a novel DNA‐based probe panel to detect copy number alterations (CNAs) in prostate tumor DNA and its performance for predicting clinical progression. Methods: A probe panel was developed and optimized to measure CNAs in trace amounts of tumor DNA (2 ng) isolated from formalin‐fixed paraffin‐embedded tissues. Ten genes previously associated with aggressive disease were targeted. The panel's feasibility and performance were assessed in 175 prostate cancer (PCa) patients who underwent radical prostatectomy with a median 10‐year follow‐up, including 42 men who developed disease progression (either metastasis and/or PCa‐specific death). Association with disease progression was tested using univariable and multivariable analyses. Results: The probe panel detected CNAs in all 10 genes in tumor DNA isolated from either diagnostic biopsies or surgical specimens. A four‐gene model ( PTEN / MYC / BRCA2 / CDKN1B ) had the strongest association with disease progression; 64.3% of progressors and 22.5% of non‐progressors had at least one CNA in these four genes, odds ratio (OR) (95% confidence interval) = 6.21 (2.77‐13.87), P = 8.48E−06. The association with disease progression remained significant after adjusting for known clinicopathological variables. Among the seven progressors of the 65 patients with clinically low‐risk disease, three (42.9%) had at least one CNA in these four genes. Conclusions: The probe panel can detect CNAs in trace amounts of tumor DNA from biopsies or surgical tissues at the time of diagnosis or surgery. CNAs independently predict metastatic/lethal cancer, particularly among men with clinically low‐risk disease at diagnosis. If validated, this may improve current abilities to assess tumor aggressiveness.