Evidence map›Paper›PMID 40209679›Full record

ArticleCell genomics2025

Deciphering genetic regulation at single-cell resolution in gastric cancer.

Chengxuan Chen, Leng Han

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell genomics, 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. 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

2 authors.

Chengxuan ChenDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Brown Center for Immunotherapy, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA. Electronic address: cc123@iu.edu.
Leng HanDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Brown Center for Immunotherapy, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA. Electronic address: lenghan@iu.edu.

Funding

Tumor Microenvironment and Metastasis ProgramP30CA082709 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI David W Clapp · 1999 to 2026
$59.3M
Systematic Characterization of Small Nucleolar RNAs in CancerR01CA262623 · NCI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2025
$2.0M
MolQTL: A comprehensive resource for molecular quantitative trait loci inhuman cancer.R01HG011633 · NHGRI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2025
$1.9M
NCI NIH HHS P30 CA082709NCI NIH HHS R01 CA262623NHGRI NIH HHS R01 HG011633
6 · The paper itself

Abstract

Understanding cell-type-specific genetic regulation in gastric cancer is essential for uncovering disease susceptibility. By performing single-cell eQTL mapping in gastric tissues, Bian et al.

Indexed as

Gene Expression Regulation, NeoplasticSingle-Cell AnalysisStomach NeoplasmsGenetic Predisposition to DiseaseHumansQuantitative Trait Loci

Identifiers

PMID40209679
PMCPMC12008802

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.