16 Background: We retrospectively assessed the clinical application of Prostate Specific Antigen Velocity (PSA V) in the IMPACT study (Identification of Men with a genetic predisposition to ProstAte Cancer: Targeted screening in men at higher genetic risk and controls). This is a case-control prostate cancer (PrCa) screening study for men with a known genetic predisposition to PrCa; participants with a single PSA reading above 3ng/ml are offered diagnostic TRUS prostate biopsies (PB). Methods: We calculated PSA velocity (PSA V) using all three validated methods, including the arithmetic mean, the linear regression and the first and last readings equations. Pearson chi-square test was used to compare PSA V between four genetic groups: BRCA1 carriers and BRCA1 negative controls and BRCA2 carriers and BRCA2 negative controls. Results: PSA V data were evaluated in 191 men who underwent a PB with a total of 57 PrCas diagnosed. PSA V using both a threshold of 0ng/ml/year and 0.75ng/ml/year in any of the three methods was not predictive of PrCa diagnosis in BRCA1/2 controls and BRCA1 carriers. Conversely, BRCA2 carriers with a PSA V over 0.75ng/ml/year (by linear regression) were 5 times more likely to be diagnosed with PrCa [95%CI=1.5-14; p=0.003]. Interestingly PSA V using linear regression was predictive of clinically significant tumours as defined by Gleason Score (GS) >= 7. Regardless of their genetic status, men with a PSA V over 0.75/ng/ml/year were 3 times more likely to have a clinically significant PrCa [95% CI: 1.006-11.107; p=0.045] whereas men with a BRCA2 mutation were 12 times more likely [95%CI: 1.1-98; p=0.039]. Conclusions: PSA V is an important tool for identifying which men with a BRCA2 mutation would benefit from a prostatic biopsy and could be incorporated into a predictive model, along with the total PSA value. PSA V also predicts for tumour aggressiveness regardless of genetic predisposition, but more so for those with a known high risk gene mutation. Clinical trial information: NCT00261456.
18 Background: Prostate cancer (PrCa) is the most common solid tumour in men in the Western world. There is substantial evidence that PrCa predisposition is due both to common and rare germline variation. Methods: We screened 167 genes from DNA damage response and repair pathways, within a UK based cohort of young onset cases (diagnosed at < 65 years) and controls. Samples were sequenced using a custom Agilent SureSelectXT bait library and Illumina HiSeq technology and processed using a BWA/GATK 2.8 pipeline. Following sample QC, data were analysed from 1,285 PrCa cases and 1,163 controls. Results: We identified 5,086 single nucleotide variants (SNVs) and 175 indels; 233 unique protein truncating variants (PTVs) with MAF < 0.5% in controls were found in 97 genes of the screening panel. The total proportion of PTV carriers in cases was higher than in controls (14.5% vs. 11.6%, P = 0.036; OR = 1.29, 95% CI 1.01-1.64). This enrichment was greater within the previously reported BROCA gene set of 22 tumour suppressor genes (4.5% vs 2.2%, P = 2.5x10-3; OR = 2.07, 95% CI 1.28-3.34). To identify genes which best to distinguish PrCa cases from controls, we applied the adaptive combination of P values algorithm, ADA, for genes with at least 2 carriers of PTVs. This analysis selected 10 genes, (OR = 3.37, 95% CI 2.05-5.66, PADA= 5.99x10-3); men with PTVs in these were about 3.4-fold more likely to have PrCa (5.8% vs. 1.8%). We subsequently compared aggressive cases (Gleason score ≥ 8, n = 204) with non-aggressive cases (Gleason score ≤ 7, n = 1049) and lethal PrCa cases (cause of death PrCa, n = 183) with indolent cases (Gleason score ≤ 6, n = 563) to evaluate genes associated with poor clinical prognosis. Using ADA, 4 genes were selected for aggressive PrCa ( PADA= 0.006) and 2 of these also for lethal PrCa ( PADA= 0.057). Conclusions: These gene sets provide an 11 gene panel which could be used for clinical testing and will help to facilitate the development of a PrCa specific sequencing panel with both predictive and prognostic potential.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.