Evidence map›Paper›PMID 40853482›Full record

ReviewPathologie (Heidelberg, Germany)2025

Neuroendocrine differentiation in prostate neoplasms.

Rainer Grobholz

Abstract readReview
In one paragraph

Review in Pathologie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

1 author.

Rainer GrobholzMedical Faculty, University of Zurich, Zurich, Switzerland. rainer.grobholz@ksa.ch.ORCID http://orcid.org/0000-0002-1901-7967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroendocrine (NE) cells in the prostate are part of the diffuse NE system and are found in both the normal prostate and acinar adenocarcinomas, occasionally exhibiting Paneth cell-like morphology.NE cells produce peptide hormones and biogenic amines that influence the differentiation and growth of the prostate glands through paracrine signaling; however, they do not show proliferative activity and lack androgen receptors (AR).Prostate tumors with NE differentiation are classified into five groups: (1) acinar adenocarcinomas with partial NE differentiation, detectable only by immunohistochemistry, (2) adenocarcinomas with Paneth cell-like differentiation, (3) NE tumors/carcinoids (NET), (4) small cell NE carcinomas (SCNEC), and (5) large cell NE carcinomas (LCNEC).The significance of partial and Paneth cell-like differentiation in adenocarcinomas remains under discussion and plays a minor role in routine diagnostics. NETs are extremely rare and appear to behave similarly to NETs of the gastrointestinal tract. In contrast, SCNECs and LCNECs are aggressive tumors with important clinical relevance, as they have a poor prognosis and require aggressive treatment.Therapy-associated neuroendocrine prostate carcinomas (t-NEPC) are recognized as a distinct entity for the first time in the WHO classification (5th edition, 2022). It arises through transdifferentiation via epigenetic changes following androgen deprivation and is characterized by AR loss and high proliferation, among other features. As with primary NE carcinomas, aggressive therapy is indicated. Therefore, a follow-up biopsy is recommended for castration-resistant progressive prostate cancer to confirm this aggressive phenotype.

Indexed as

Carcinoma, NeuroendocrineNeuroendocrine CellsNeuroendocrine TumorsProstatic NeoplasmsAdenocarcinomaCell DifferentiationHumansMaleProstateAdenocarcinomaAndrogen receptorsCell transdifferentiationImmunohistochemistryPrognosis

Identifiers

PMID40853482
PMCPMC12695988

What OpenQuestion holds

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Registered trials

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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.