Evidence map›Paper›PMID 40136513›Full record

ArticleBiology2025

Uncovering New Biomarkers for Prostate Cancer Through Proteomic and Network Analysis.

Rossana Rossi, Elena Monica Borroni, Ishak Yusuf, Andrea Lomagno, Mohamed A A A Hegazi, Pietro Luigi Mauri, Fabio Grizzi, Gianluigi Taverna, Dario Di Silvestre

Abstract read
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

9 authors.

Rossana RossiInstitute for Biomedical Technologies-National Research Council, 20054 Segrate, Milan, Italy.ORCID 0000-0002-0313-7083
Elena Monica BorroniDepartment of Medical Biotechnologies and Translational Medicine, University of Milan, 20054 Segrate, Milan, Italy.ORCID 0000-0003-1157-8249
Ishak YusufInstitute for Biomedical Technologies-National Research Council, 20054 Segrate, Milan, Italy.ORCID 0000-0003-1635-1350
Andrea LomagnoInstitute for Biomedical Technologies-National Research Council, 20054 Segrate, Milan, Italy.
Mohamed A A A HegaziDepartment of Immunology and Inflammation, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy.ORCID 0000-0001-7810-5011
Pietro Luigi MauriInstitute for Biomedical Technologies-National Research Council, 20054 Segrate, Milan, Italy.ORCID 0000-0003-4364-0393
Fabio GrizziDepartment of Immunology and Inflammation, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy.ORCID 0000-0003-0925-742X
Gianluigi TavernaDepartment of Urology, Humanitas Mater Domini, 21100 Castellanza, Varese, Italy.
Dario Di SilvestreInstitute for Biomedical Technologies-National Research Council, 20054 Segrate, Milan, Italy.ORCID 0000-0002-7143-6229

Funding

Ministero dell'università e della ricerca 20228Z8C95National Research Council SAC.AD002.173
6 · The paper itself

Abstract

backgroundProstate cancer (PCa), is the second most prevalent solid tumor among men worldwide (7.3%), and the leading non-skin cancer in USA where it represents 14.9% of all new cancer cases diagnosed in 2024. This multifactorial disease exhibits substantial variation in incidence and mortality across different ethnic groups and geographic regions. Although prostate-specific antigen (PSA) remains widely used as a biomarker for PCa, its limitations reduce its effectiveness for accurate detection. Consequently, finding molecules that can either complement PSA and other biomarkers is a major goal in PCa research.

methodsUrine samples were collected from healthy donors (

resultsBy evaluating the variations in the urinary proteome as a mirror of the changes occurring in prostate tumor tissue, components of complement and coagulation cascades and glutathione metabolism emerged as hallmarks of low- and high-risk PCa patients, respectively. Moreover, our integrated approach highlighted new potential biomarkers, including CPM, KRT8, ITIH2, and RCN1.

conclusionsThe good overlap of our results with what is already reported in the literature supports the new findings in the perspective of improving the knowledge on PCa. Furthermore, they increase the panel of biomarkers that could enhance PCa management. Of course, further investigations on larger patient cohorts are required.

Indexed as

hubsnetwork analysisprostate cancerproteomicsTCGAurine

Identifiers

PMID40136513
PMCPMC11939979

What Socratic 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 Socratic graph.