Evidence map›Paper›PMID 41583437›Full record

ReviewFrontiers in immunology2025

Advances in the identification of novel cell signatures in benign prostatic hyperplasia and prostate cancer using single-cell RNA sequencing.

Yu Pan, Qingqing Song, Bingjie Lai, He Ma

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. 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
–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

5 citing papers in PubMed.

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

4 authors.

Yu PanDepartment of Urology, The Second Hospital of Jilin University, Changchun, China.
Qingqing SongDepartment of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China.
Bingjie LaiDepartment of Intensive Care Unit, The Second Hospital of Jilin University, Changchun, China.
He MaDepartment of Anesthesiology, The Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, chronic benign and malignant prostatic diseases are prevalent, costly, and impose a significant burden. Benign prostatic hyperplasia (BPH), a common condition in the aging population, often coexists with localized prostate cancer (PCa). These diseases likely share underlying molecular mechanisms, which remain poorly understood. The exploration of novel cell subpopulations and specific biomarkers for accurate diagnosis and treatment of prostatic diseases is ongoing and holds great clinical promise. Prostate cell proliferation and immune inflammation are key contributors to the progression of BPH and PCa, involving various prostate and immune cell subpopulations. This raises important questions about how specific cell types drive phenotypic heterogeneity. Advanced single-cell RNA sequencing (scRNA-seq), a cutting-edge technology, offers unparalleled insights at the single-cell level. Similar to a microscope that identifies cell types within tissue samples, scRNA-seq elucidates cellular heterogeneity and diversity within single cell populations, positioning itself as a future-leading sequencing technology. Considering that BPH and PCa share androgen-dependent growth, chronic inflammation and specific microenvironmental changes, this review discusses recent discoveries of novel cell subpopulations and molecular signatures in BPH and PCa that can be dissected by scRNA-seq. It aims to help researchers better understand the molecular pathogenesis of these conditions while offering new therapeutic possibilities for clinical management of benign and malignant prostatic disorders.

Indexed as

Prostatic HyperplasiaProstatic NeoplasmsSingle-Cell AnalysisAnimalsBiomarkers, TumorHumansMaleProstateSequence Analysis, RNASingle-Cell Gene Expression AnalysisBiomarkers, Tumorbenign prostatic hyperplasiacell subpopulationschronic prostatic diseasesmolecular signaturesprostate cancersingle-cell RNA sequencing

Identifiers

PMID41583437
PMCPMC12827783

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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.