Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Early detection of cancer is essential for effective treatment. However, current prostate cancer screening methods lack sufficient sensitivity and specificity, leading to overdiagnosis and unnecessary treatment. There is also an unmet need to distinguish clinically significant from insignificant prostate cancer. To identify complementary biomarkers for improved screening and diagnosis, we performed transcriptional profiling of cancer-associated transcripts in circulating extracellular vesicles (EVs) isolated from peripheral blood of patients with suspected prostate cancer prior to biopsy and healthy donors. Expression data for 2549 mRNAs were obtained from 28 men. CAPN5 expression was significantly lower, whereas BIRC2, CASP3, CD63, FMO5, IRF6, PFDN1, PRDX6, PSMD2, RIT1, S100A2, THBS1, and XRCC2 were significantly elevated in EVs from patients with significant prostate cancer (n = 14) compared with cancer-free individuals and patients with insignificant disease (n = 14). Candidate biomarkers were subsequently evaluated by in silico validation using the The Cancer Genome Atlas (TCGA) prostate adenocarcinoma dataset and the GEO dataset GSE70768 containing benign and malignant prostate tissues. This analysis identified CASP3, XRCC2, and RIT1 transcripts in circulating EVs as promising biomarkers for the early detection of significant prostate cancer.

Authors

Institutions

Publication Details

Journal
Molecular Oncology
Published
2026-03-26
DOI
https://doi.org/10.1002/1878-0261.70244
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Katharina Besler, Svenja Schneegans, Désirée Bonci, P Tennstedt et al.
Molecular Oncology
Extracellular vesicles in disease
article

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Katharina Besler, Svenja Schneegans, Désirée Bonci, P Tennstedt, Catherine Alix‐Panabières, Marie C. Roesch, RM Pose, F. Max Müller, Malik Alawi, Joanna Budna‐Tukan, Sven Peine, Stefan Werner, Derya Tilki, Klaus Pantel, Evi Lianidou
article en

Abstract

Early detection of cancer is essential for effective treatment. However, current prostate cancer screening methods lack sufficient sensitivity and specificity, leading to overdiagnosis and unnecessary treatment. There is also an unmet need to distinguish clinically significant from insignificant prostate cancer. To identify complementary biomarkers for improved screening and diagnosis, we performed transcriptional profiling of cancer-associated transcripts in circulating extracellular vesicles (EVs) isolated from peripheral blood of patients with suspected prostate cancer prior to biopsy and healthy donors. Expression data for 2549 mRNAs were obtained from 28 men. CAPN5 expression was significantly lower, whereas BIRC2, CASP3, CD63, FMO5, IRF6, PFDN1, PRDX6, PSMD2, RIT1, S100A2, THBS1, and XRCC2 were significantly elevated in EVs from patients with significant prostate cancer (n = 14) compared with cancer-free individuals and patients with insignificant disease (n = 14). Candidate biomarkers were subsequently evaluated by in silico validation using the The Cancer Genome Atlas (TCGA) prostate adenocarcinoma dataset and the GEO dataset GSE70768 containing benign and malignant prostate tissues. This analysis identified CASP3, XRCC2, and RIT1 transcripts in circulating EVs as promising biomarkers for the early detection of significant prostate cancer.

Molecular Oncology
Poznan University of Medical Sciences (PL), Universität Hamburg (DE), Istituto Superiore di Sanità (IT), University of West Attica (GR), University Medical Center Hamburg-Eppendorf (DE), Martini-Klinik (DE), University Hospital Schleswig-Holstein (DE), Hamburg Institut (Germany) (DE), Institut Universitaire de Recherche Clinique (FR), University of Zielona Góra (PL), University of Lübeck (DE)
Good health and well-being
Openalex Percentile: Top 7%
Extracellular vesicles in disease
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.