Multimodal plasma and urinary cell-free DNA profiling improves risk stratification in newly diagnosed prostate cancer

Prostate cancer (PCa) is a heterogeneous disease, impeding early detection and risk stratification. Liquid biopsies (LBx) enable minimally invasive tumor profiling, but circulating tumor-derived DNA (ctDNA) detection remains difficult, particularly in early-stage PCa. We developed a multimodal LBx approach combining genomic and epigenomic cell-free DNA (cfDNA) features in plasma and urine from newly diagnosed PCa patients to improve early characterization of PCa and risk stratification of aggressive disease. Plasma and urine samples from 55 localized PCa (lPCa) patients, 18 advanced PCa (aPCa) patients, and 36 cancer-free controls were subjected to low-coverage whole-genome sequencing and methylated DNA immunoprecipitation sequencing to assess fragmentation, chromosomal instability, and methylation in cfDNA. This complementary approach yielded a 45% ctDNA detection rate in newly diagnosed PCa. Major differences were observed between aPCa and controls, reflecting increasing signals with tumor progression. Epigenomic cfDNA features differentiated lPCa from aPCa, and ctDNA was detected in 46% of PCa patients with prostate-specific antigen <10 ng/mL, suggesting potential for risk stratification. This study highlights the value of multimodal LBx approaches for early characterization of primary PCa and identification of aggressive disease at initial diagnosis. Integration into clinical workflows could complement diagnostics and support personalized decision-making tailored to patients' PCa risk profiles.

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Publication Details

Journal
npj Precision Oncology
Published
2026-03-02
DOI
https://doi.org/10.1038/s41698-026-01343-y
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Multimodal plasma and urinary cell-free DNA profiling improves risk stratification in newly diagnosed prostate cancer

Magdalena Görtz, Anja Lisa Riediger, Samaneh Eickelschulte, Florian Janke et al.
npj Precision Oncology
Cancer Genomics and Diagnostics
article

Multimodal plasma and urinary cell-free DNA profiling improves risk stratification in newly diagnosed prostate cancer

Magdalena Görtz, Anja Lisa Riediger, Samaneh Eickelschulte, Florian Janke, Daniela Janscho, Olga Lazareva, Stefan Duensing, Holger Sültmann, Oliver Stegle, Daniel Hübschmann
article en

Abstract

Prostate cancer (PCa) is a heterogeneous disease, impeding early detection and risk stratification. Liquid biopsies (LBx) enable minimally invasive tumor profiling, but circulating tumor-derived DNA (ctDNA) detection remains difficult, particularly in early-stage PCa. We developed a multimodal LBx approach combining genomic and epigenomic cell-free DNA (cfDNA) features in plasma and urine from newly diagnosed PCa patients to improve early characterization of PCa and risk stratification of aggressive disease. Plasma and urine samples from 55 localized PCa (lPCa) patients, 18 advanced PCa (aPCa) patients, and 36 cancer-free controls were subjected to low-coverage whole-genome sequencing and methylated DNA immunoprecipitation sequencing to assess fragmentation, chromosomal instability, and methylation in cfDNA. This complementary approach yielded a 45% ctDNA detection rate in newly diagnosed PCa. Major differences were observed between aPCa and controls, reflecting increasing signals with tumor progression. Epigenomic cfDNA features differentiated lPCa from aPCa, and ctDNA was detected in 46% of PCa patients with prostate-specific antigen <10 ng/mL, suggesting potential for risk stratification. This study highlights the value of multimodal LBx approaches for early characterization of primary PCa and identification of aggressive disease at initial diagnosis. Integration into clinical workflows could complement diagnostics and support personalized decision-making tailored to patients' PCa risk profiles.

npj Precision OncologyVol. 10(1)
German Cancer Research Center (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), National Center for Tumor Diseases (DE), European Molecular Biology Laboratory (DE), Heidelberg Institute for Stem Cell Technology and Experimental Medicine (DE), Deutsches Konsortium für Translationale Krebsforschung (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 36%
Cancer Genomics and Diagnostics
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