학술논문

Prognostic value of 17-Gene genomic prostate score in patients with clinically localized prostate cancer: a meta-analysis
Document Type
article
Source
BMC Cancer, Vol 24, Iss 1, Pp 1-9 (2024)
Subject
Genomic prostate score
Prostate cancer
Distant metastases
Biochemical recurrence
Prostate cancer–specific mortality
Meta-analysis
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Language
English
ISSN
1471-2407
Abstract
Abstract Background The 17-gene Genomic Prostate Score (GPS) test has been clinically employed to predict adverse prognosis in prostate cancer. In this meta-analysis, we aimed to evaluate the prognostic value of the 17-gene GPS in patients with prostate cancer. Methods Potentially relevant studies were obtained by searching PubMed, Web of Science, Embase databases from their inception to December 1, 2023. Studies were considered eligible if they evaluated the association of the 17-gene GPS with distant metastases, biochemical recurrence, or prostate cancer–specific mortality (PCSM) in prostate cancer patients. To estimate the prognostic value, we pooled the adjusted hazard ratio (HR) with 95% confidence intervals (CI) for the high versus low GPS group or per 20-unit increase in GPS. Results Seven cohort studies that reported on 8 articles comprising 1,962 patients satisfied the eligibility criteria. Meta-analysis showed that per 20-unit increase in GPS was significantly associated with distant metastases (HR 2.99; 95% CI 1.97–4.53), biochemical recurrence (HR 2.18; 95% CI 1.64–2.89), and PCSM (HR 3.14; 95% CI 1.86–5.30). Moreover, patients with high GPS (> 40 points) had an increased risk of distant metastases (HR 5.22; 95% CI 3.72–7.31), biochemical recurrence (HR 4.41; 95% CI 2.29–8.49), and PCSM (HR 3.81; 95% CI 1.74–8.33) than those with low GPS (≤ 40 points). Conclusions A higher 17-gene GPS significantly predicts distant metastases, biochemical recurrence, and PCSM in men with clinically localized prostate cancer. However, large-scale multicenter prospective studies are necessary to further validate these findings.