Evidence map›Paper›PMID 42337319›Full record

ArticleScientific reports2026

Pro-neuropeptide Y as a circulating biomarker for poor prognosis in prostate cancer.

Erik Djusberg, Kristina Lundquist, Marie Lundholm, Andreas Josefsson, Camilla Thellenberg Karlsson, Jochen M Schwenk, Maria Brattsand, Anders Bergh, Pernilla Wikström

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Erik DjusbergDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Kristina LundquistDepartment of Chemistry, Umeå University, Umeå, Sweden.
Marie LundholmDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Andreas JosefssonDepartment of Diagnostics and Intervention, Urology and Andrology, Umeå University, Umeå, Sweden.
Camilla Thellenberg KarlssonDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.
Jochen M SchwenkScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden.
Maria BrattsandDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Anders BerghDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Pernilla WikströmDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden. pernilla.wikstrom@umu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is common world-wide. Current diagnostics based on testing for circulating levels of prostate specific antigen (PSA) is unspecific, and novel prognostic markers are needed for personalized therapeutic strategies. Pro-neuropeptide Y (pro-NPY) has been reported as a tissue marker for PCa related to poor prognosis. This study explored the prognostic value of circulating pro-NPY in PCa. Plasma samples were obtained from two patient cohorts: (1) men examined due to increased PSA levels in 2003-2011 (n = 796) and (2) patients treated for PCa in 2013-2016 (n = 92). Cohort 2 also provided plasma samples collected ~ 3 months after therapy. For plasma pro-NPY assessment, a sandwich immunoassay was developed. In cohort 1, 315 patients were diagnosed with PCa at the time for blood sampling, 137 were diagnosed during follow-up, and 344 remained disease-free. Plasma pro-NPY provided independent prognostic information from PSA regarding time to metastasis and PCa death. In cohort 2, high plasma pro-NPY levels were confirmed associated with metastatic disease and poor survival. Plasma pro-NPY levels were normalized after androgen-deprivation therapy, suggesting androgen-regulation. In conclusion, high circulating pro-NPY levels are associated with metastasis and poor outcome in PCa. Prospective validation is needed before suggesting pro-NPY for clinical use. The underlying biology and consequences of pro-NPY overexpression remain to be understood.

Indexed as

Biomarkers, TumorNeuropeptide YProstatic NeoplasmsAgedHumansMaleMiddle AgedPrognosisProstate-Specific AntigenBiomarkers, TumorNeuropeptide YProstate-Specific AntigenNeuropeptide YPlasmaPrognosisPro-NPYProstate cancer

Identifiers

PMID42337319
PMCPMC13291266

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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.