Evidence map›Paper›PMID 41129487›Full record

ArticleThe Prostate2026

Utility of the PROSTest, a Novel Blood-Based Molecular Assay, Versus PSA for Prostate Cancer Stratification and Detection of Disease.

Mark Kidd, Grzegorz Rempega, Michal Kepinski, Szymon Slomian, Krystyna Mlynarek, Abdel B Halim

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in The Prostate, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07454603 (A Single-arm, Multicenter Prospective Study to Evaluate the Diagnostic Performance of PROSTest in Men With PSA ≥ 3ng/ml Using Biopsy as the Sole Ground Truth), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07454603 recruitingnot on this map

A Single-arm, Multicenter Prospective Study to Evaluate the Diagnostic Performance of PROSTest in Men With PSA ≥ 3ng/ml Using Biopsy as the Sole Ground Truth

TypeobservationalSponsorWren Laboratories LLCRan2026 to 2027Enrolled1,500ConditionsProstate Cancer, Urology, Prostate Cancer (Diagnosis)ArmsPROSTEST
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mark KiddWren Laboratories, Branford, Connecticut, USA.
Grzegorz RempegaDepartment of Urology, Medical University of Silesia, Katowice, Poland.
Michal KepinskiDepartment of Urology, Medical University of Silesia, Katowice, Poland.ORCID https://orcid.org/0000-0002-6390-1063
Szymon SlomianDepartment of Urology, Regional Specialist Hospital No. 3, Rybnik, Poland.
Krystyna MlynarekDepartment of Urology, Regional Specialist Hospital No. 3, Rybnik, Poland.
Abdel B HalimWren Laboratories, Branford, Connecticut, USA.

Funding

This work was supported in part by Wren Laboratories provided free sample measurement.
6 · The paper itself

Abstract

backgroundProstate cancer (PCa) is the most common solid organ cancer in men and the fifth leading cause of cancer-related deaths globally. PSA helps identify men at risk but has low specificity and has resulted in unnecessary biopsies. The PROSTest, a novel machine learning-based 27-gene mRNA liquid biopsy assay, was developed to detect PCa. We evaluated its utility as a stratification tool in symptomatic men undergoing biopsy or surgery for PSA > 2 ng/mL.

methodsOf 123 men assessed, 105 (85%) met eligibility criteria (age > 55 years, PSA > 2 ng/mL, symptomatic) and underwent image-guided biopsy or surgery. Blood samples for PROSTest were collected prebiopsy, and RNA-stabilized samples underwent RNA isolation and cDNA production. PCR results were analyzed using a machine learning algorithm, generating a 0-100 score with a cutoff of 50 for a binary (positive/negative) readout. The performance of PROSTest was against PSA using AUROC and evaluated for Gleason Grade (GG) 1 versus GG2-5 patients.

resultsMedian age was 68 years (55-86 years); median PSA was 8.2 ng/mL (IQR: 7.2-92 ng/mL). PCa was diagnosed in 65 men (62%) (27 GG1; 38 GG2-5). PROSTest was positive in 63/65 (97%) of those with PCa and in 2/40 (5%) without PCa. Sensitivity was 97%, specificity 96%. PROSTest outperformed PSA (AUROC: 0.99 vs. 0.61, p < 0.0001). GG2-5 had significantly higher (p < 0.0001) PROSTest scores (92 ± 3).

conclusionsPROSTest demonstrated superior sensitivity and specificity compared to PSA for detecting prostate cancer across all Gleason grades. Additionally, it showed potential for distinguishing GG2-5 from GG1 + BPH, which could help guide clinical decision-making and reduce unnecessary biopsies. By leveraging a machine learning-based approach, PROSTest may offer a more accurate and less invasive diagnostic tool for prostate cancer stratification. However, larger prospective studies are needed to validate these findings and further define its clinical utility.

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsAgedAged, 80 and overBiomarkers, TumorHumansLiquid BiopsyMachine LearningMaleMiddle AgedNeoplasm GradingSensitivity and SpecificityBiomarkers, TumorProstate-Specific AntigenPCRprostate cancerPROSTestPSAscreening

Identifiers

PMID41129487
PMCPMC12789906

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.