Evidence map›Paper›PMID 40977697›Full record

ArticleFrontiers in immunology2025

Identification and verification of the key genes involved in gallbladder cancer.

Jie Tang, Hanxu Zhou, Miao Lu, Dengyi Cao, Yun Zhang, Shaobo Zhou

Abstract read
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jie TangThe Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China.
Hanxu ZhouGeneral Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.
Miao LuThe Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China.
Dengyi Cao *General Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.
Yun Zhang *The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China.
Shaobo Zhou *General Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gallbladder cancer (GBC) is a highly aggressive malignancy of the biliary tract. It often lacks distinct symptoms in its early stages, and no specific biomarkers have yet been identified for its diagnosis. Objective: To identify key genes involved in GBC pathogenesis using public databases and bioinformatics analysis and validate these findings experimentally, providing a foundation for developing potential GBC biomarkers. Methods: Analysis of GBC-related data from the Gene Expression Omnibus database revealed that G protein-coupled receptor 64 (GPR64) was differentially expressed in GBC. GPR64 expression in GBC-SD and NOZ cells was modulated using lentiviral transfection. Functional assays assessed cancer-related phenotypes, while apoptosis was measured using flow cytometry. Xenograft models in nude mice were established with cell lines overexpressing GPR64. Results: GPR64 expression was reduced in GBC. Its overexpression suppressed GBC cell invasion, migration, and proliferation, and induced apoptosis. Conclusion: GPR64 plays a critical role in GBC pathogenesis and may serve as a promising biomarker for its diagnosis and treatment.

Indexed as

Biomarkers, TumorGallbladder NeoplasmsGene Expression Regulation, NeoplasticReceptors, G-Protein-CoupledAnimalsApoptosisCell Line, TumorCell MovementCell ProliferationComputational BiologyFemaleGene Expression ProfilingHumansMiceMice, NudeBiomarkers, TumorReceptors, G-Protein-Coupledbioinformaticsbiomarkerexosomegallbladder cancerGPR64

Identifiers

PMID40977697
PMCPMC12443716

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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.