Evidence map›Paper›PMID 40208185›Full record

ArticleJournal of cellular and molecular medicine2025

Comprehensive Analysis of GPSM2: From Pan-Cancer Analysis to Experimental Validation.

Chunjiao Yang, Yuzhe Zhang, Lirong Yan, Aoran Liu, Fang Li, Yanke Li, Ye Zhang

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Chunjiao YangDepartment of Oncology, The Fifth Affiliated Hospital of Guangxi Medical University & The First People's Hospital of Nanning, Nanning, China.
Yuzhe ZhangThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Lirong YanThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Aoran LiuThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Fang LiThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.
Yanke LiDepartment of Anorectal Surgery, The First Hospital of China Medical University, Shenyang, China.
Ye ZhangThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Shenyang, China.ORCID 0000-0003-3495-5596

Funding

National Natural Science Foundation of China 82073244Natural Science Foundation of Liaoning Province 2022-MS-196Shenyang Youth Science and Technology Innovation Talent Project RC200267
6 · The paper itself

Abstract

G-protein signalling modulator 2 (GPSM2) plays an important role in maintaining cell polarisation and regulating the cell cycle; however, a systematic and comprehensive analysis of GPSM2 in cancer is still lacking. Using extensive multi-omics data, we explored the pan-cancer expression levels of GPSM2 from multiple perspectives and its association with prognosis, diagnosis, tumour stemness, immune-related genes, immune cell infiltration, genomic instability, and response to immunotherapy. We also elucidated the potential pan-cancer biological functions of GPSM2 using gene set enrichment analysis (GSEA) and searched for targeted drugs that affect GPSM2 expression using connectivity map analysis. To elucidate the effect of GPSM2 on colon cancer, we evaluated its effect on the biological behaviour of two colon cancer cell lines. In this study, GPSM2 was systematically analysed and shown to have satisfactory performance in disease diagnosis and prognostic prediction of various cancers. G-protein signalling modulator 2 plays an important role in the genesis and development of various tumours and is a potential tumour diagnostic and prognostic biomarker as well as an anti-cancer therapeutic target.

Indexed as

NeoplasmsBiomarkers, TumorCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, Tumorbiomarkercell cycleGPSM2pan‐cancerprognosis

Identifiers

PMID40208185
PMCPMC11984320

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.