Evidence map›Paper›PMID 41876625›Full record

ArticleCommunications biology2026

Multi-omics evaluation of cell lines as models for metastatic prostate cancer.

Xueying Liu, Weixing Yu, Xiuyuan Jin, Yugang Wang, Ke Liu

Abstract read
In one paragraph

Article in Communications biology, 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

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

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

5 authors.

Xueying LiuDepartment of Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Weixing YuDepartment of Biochemistry and Molecular Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiuyuan JinDepartment of Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yugang WangDepartment of Biochemistry and Molecular Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. yugangw@hust.edu.cn.ORCID http://orcid.org/0000-0003-4687-4742
Ke LiuDepartment of Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China. keliu.iluke@email.sdu.edu.cn.ORCID http://orcid.org/0000-0003-3190-1656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell lines are indispensable tools in prostate cancer research yet their suitability as models for distance metastasis remains incompletely characterized. Here, we conduct a systematic evaluation study using large-scale public multi-omics data. We reveal substantial genomic differences between cell lines and metastatic patient samples, and meanwhile pinpoint cell lines which more closely resemble metastatic prostate cancer. Notably, hypermutation significantly influences the tumor microenvironment, underscoring the importance of considering mutational burden in model selection. Surprisingly, the widely used PC3 cell line exhibits poor transcriptomic and epigenomic similarity to any prostate cancer subtype, revealing a previously unrecognized limitation. Furthermore, we find existing engineered stem-like cell lines fail to faithfully recapitulate the transcriptomic profiles of mesenchymal stem-like prostate cancer, whereas selected organoids exhibit higher fidelity. Our study provides guidance for cell line selection in metastatic prostate cancer research and highlights the urgent need to develop improved cell lines for the mesenchymal stem-like subtype.

Indexed as

Prostatic NeoplasmsCell Line, TumorGene Expression Regulation, NeoplasticHumansMaleMultiomicsMutationNeoplasm MetastasisTranscriptomeTumor Microenvironment

Identifiers

PMID41876625
PMCPMC13171877

What OpenQuestion 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 OpenQuestion graph.