Evidence map›Paper›PMID 42639041›Full record

ArticleFrontiers in immunology2026

Integrative multi-omics reveals the POSTN

Yangzhou Liu, Aochu Liu, Xinglai Dai, Jianpeng Zhang, Run Shi, Yingjian Wang, Guohua Zeng

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

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

7 authors.

Yangzhou Liu *Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Aochu Liu *School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xinglai Dai *Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jianpeng ZhangCenter of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
Run ShiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yingjian WangDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Guohua ZengDepartment of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The progression of prostate cancer to lethal castration-resistant (CRPC) and metastatic (mCRPC) stages is driven by a profoundly remodeled tumor microenvironment (TME). However, the identity of key stromal cell populations, their developmental dynamics, and their precise crosstalk with immune cells remain incompletely understood, limiting our ability to target the TME therapeutically. Methods: We integrated single-cell RNA sequencing (scRNA-seq) data from 222,529 cells across 10 studies, encompassing normal prostate, primary tumors, CRPC, and mCRPC. Fibroblast heterogeneity was resolved using unsupervised clustering, trajectory inference (Monocle2), and regulon analysis (pySCENIC). Intercellular communication was deciphered using CellChat. Spatial transcriptomic data were integrated via CellTrek and SpaGene for validation. Clinical associations were evaluated in multiple bulk transcriptomic cohorts (e.g., TCGA-PRAD, IMvigor210) and extended to a pan-cancer atlas of 11 tumor types. Results: We identified a distinct POSTN Conclusions: Our integrated single-cell atlas defines a critical POSTN

Indexed as

Cancer-Associated FibroblastsMacrophagesProstatic NeoplasmsTumor-Associated MacrophagesCell Adhesion MoleculesDisease ProgressionGene Expression Regulation, NeoplasticHumansImmune ToleranceMaleMultiomicsPeriostinTumor MicroenvironmentCell Adhesion MoleculesPeriostinPOSTN protein, humancancer-associated fibroblastsimmunotherapy resistanceperiostinprostate cancersingle-cell RNA sequencingstromal-immune crosstalktumor-associated macrophagestumor microenvironment

Identifiers

PMID42639041
PMCPMC13500630

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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.