Evidence map›Paper›PMID 35267445›Full record

ArticleCancers2022

Identification of Urine Biomarkers to Improve Eligibility for Prostate Biopsy and Detect High-Grade Prostate Cancer.

Nagjie Alijaj, Blaz Pavlovic, Paul Martel, Arnas Rakauskas, Valérie Cesson, Karim Saba, Thomas Hermanns, Pascal Oechslin, Markus Veit, Maurizio Provenzano and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

18 authors at 3 institutions in 1 country.

Nagjie AlijajDepartment of Urology, University Hospital of Zürich and University of Zürich, 8006 Zürich, Switzerland.
Blaz PavlovicDepartment of Urology, University Hospital of Zürich and University of Zürich, 8006 Zürich, Switzerland.
Paul MartelDepartment of Urology, Urology Research Unit and Urology Biobank, University Hospital of Lausanne, 1011 Lausanne, Switzerland.
Arnas RakauskasDepartment of Urology, Urology Research Unit and Urology Biobank, University Hospital of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0002-3265-2287
Valérie CessonDepartment of Urology, Urology Research Unit and Urology Biobank, University Hospital of Lausanne, 1011 Lausanne, Switzerland.
Karim SabaDepartment of Urology, University Hospital of Zürich, 8091 Zürich, Switzerland.
Thomas HermannsDepartment of Urology, University Hospital of Zürich, 8091 Zürich, Switzerland.
Pascal OechslinDepartment of Urology, University Hospital of Zürich, 8091 Zürich, Switzerland.
Markus VeitDepartment of Urology, University Hospital of Zürich, 8091 Zürich, Switzerland.
Maurizio ProvenzanoDepartment of Urology, University Hospital of Zürich, 8091 Zürich, Switzerland.
Jan H RüschoffDepartment of Pathology and Molecular Pathology, University Hospital of Zürich, 8091 Zürich, Switzerland.
Muriel D BradaDepartment of Pathology and Molecular Pathology, University Hospital of Zürich, 8091 Zürich, Switzerland.
Niels J RuppDepartment of Pathology and Molecular Pathology, University Hospital of Zürich, 8091 Zürich, Switzerland.ORCID 0000-0002-7043-3456
Cédric PoyetDepartment of Urology, University Hospital of Zürich, 8091 Zürich, Switzerland.
Laurent DerréDepartment of Urology, Urology Research Unit and Urology Biobank, University Hospital of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0002-3403-161X
Massimo ValerioDepartment of Urology, Urology Research Unit and Urology Biobank, University Hospital of Lausanne, 1011 Lausanne, Switzerland.
Irina BanzolaDepartment of Urology, University Hospital of Zürich and University of Zürich, 8006 Zürich, Switzerland.ORCID 0000-0002-5600-7688
Daniel EberliDepartment of Urology, University Hospital of Zürich, 8091 Zürich, Switzerland.ORCID 0000-0001-8866-8010
University Hospital of Zurich · CHUniversity Hospital of Lausanne · CHUniversity of Zurich · CH

Funding

Gebert Rüf Stiftung GRS-039/18Innosuisse - Swiss Innovation Agency 40242.1 IP-LSUniversity of Zurich MEDEF 20018
6 · The paper itself

Abstract

PCa screening is based on the measurements of the serum prostate specific antigen (PSA) to select men with higher risks for tumors and, thus, eligible for prostate biopsy. However, PSA testing has a low specificity, leading to unnecessary biopsies in 50-75% of cases. Therefore, more specific screening opportunities are needed to reduce the number of biopsies performed on healthy men and patients with indolent tumors. Urine samples from 45 patients with elevated PSA were collected prior to prostate biopsy, a mass spectrometry (MS) screening was performed to identify novel biomarkers and the best candidates were validated by ELISA. The urine quantification of PEDF, HPX, CD99, CANX, FCER2, HRNR, and KRT13 showed superior performance compared to PSA. Additionally, the combination of two biomarkers and patient age resulted in an AUC of 0.8196 (PSA = 0.6020) and 0.7801 (PSA = 0.5690) in detecting healthy men and high-grade PCa, respectively. In this study, we identified and validated novel urine biomarkers for the screening of PCa, showing that an upfront urine test, based on quantitative biomarkers and patient age, is a feasible method to reduce the number of unnecessary prostate biopsies and detect both healthy men and clinically significant PCa.

Indexed as

eligibility for prostate biopsyprostate cancerPSAscreeningurine biomarker

Identifiers

PMID35267445
PMCPMC8909910
OpenAlexW4213360392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.