Clinical validity of circulating tumor DNA as a diagnostic biomarker for prostate cancer: a systematic review

Current diagnostic pathways for prostate cancer (PCa) have unsatisfactory specificity and rely heavily on magnetic resonance imaging, underscoring the need for novel diagnostic biomarkers. This article provides a systematic review of the evidence on using blood-derived cell-free DNA (cfDNA)-based biomarkers for PCa diagnosis. A structured review was conducted according to the PRISMA guidelines. Original peer-reviewed research articles published before August 2025 were identified from PubMed/Medline, Web of Science, and Embase using keyword combinations concerning PCa, cfDNA, and diagnostic test performance. Studies that compared blood-derived cfDNA-based diagnostic biomarkers in men with and without PCa were included. Fifty-nine articles were identified and analyzed. Most articles reported qualitative cfDNA assays relying on PCR (N=37) or next generation sequencing (NGS; N=10). Diagnostic test performance improved for aggressive and metastatic PCa. However, evidence regarding clinical validity in localized disease is scarce, particularly for NGS-based methods (3 studies). GSTP1 promoter hypermethylation, the most frequently investigated biomarker, showed an average sensitivity and specificity of 35.1% and 91.2%, respectively, for the detection of localized PCa. Overall, circulating tumor DNA represents a promising diagnostic biomarker for PCa early detection. High-quality discovery and validation research in the intended-use setting are essential to fully understand clinical validity and utility.

Authors

Institutions

Publication Details

Journal
Cancer Epidemiology Biomarkers & Prevention
Published
2026-03-13
DOI
https://doi.org/10.1158/1055-9965.epi-25-1820
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical validity of circulating tumor DNA as a diagnostic biomarker for prostate cancer: a systematic review

Agnė Krilavičiūtė, Maxime De Vrieze, Petra Seibold, Peter Albers et al.
Cancer Epidemiology Biomarkers & Prevention
Cancer Genomics and Diagnostics
article

Clinical validity of circulating tumor DNA as a diagnostic biomarker for prostate cancer: a systematic review

Agnė Krilavičiūtė, Maxime De Vrieze, Petra Seibold, Peter Albers, Clarissa Gerhäuser, Nan Zhang
article en

Abstract

Current diagnostic pathways for prostate cancer (PCa) have unsatisfactory specificity and rely heavily on magnetic resonance imaging, underscoring the need for novel diagnostic biomarkers. This article provides a systematic review of the evidence on using blood-derived cell-free DNA (cfDNA)-based biomarkers for PCa diagnosis. A structured review was conducted according to the PRISMA guidelines. Original peer-reviewed research articles published before August 2025 were identified from PubMed/Medline, Web of Science, and Embase using keyword combinations concerning PCa, cfDNA, and diagnostic test performance. Studies that compared blood-derived cfDNA-based diagnostic biomarkers in men with and without PCa were included. Fifty-nine articles were identified and analyzed. Most articles reported qualitative cfDNA assays relying on PCR (N=37) or next generation sequencing (NGS; N=10). Diagnostic test performance improved for aggressive and metastatic PCa. However, evidence regarding clinical validity in localized disease is scarce, particularly for NGS-based methods (3 studies). GSTP1 promoter hypermethylation, the most frequently investigated biomarker, showed an average sensitivity and specificity of 35.1% and 91.2%, respectively, for the detection of localized PCa. Overall, circulating tumor DNA represents a promising diagnostic biomarker for PCa early detection. High-quality discovery and validation research in the intended-use setting are essential to fully understand clinical validity and utility.

Cancer Epidemiology Biomarkers & Prevention
German Cancer Research Center (DE), Heidelberg University (DE), Düsseldorf University Hospital (DE), Heinrich Heine University Düsseldorf (DE)
Openalex Percentile: Top 22%
Cancer Genomics and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.