Evidence map›Paper›PMID 39910129›Full record

ArticleScientific reports2025

Integrative analysis of anoikis-related prognostic signature to evaluate the immune landscape and predict therapeutic response in stomach adenocarcinoma.

Ziyi Zhou, Lanlan Yang, Yuan Fang, Rongzhong Xu, Xi Wang, Yuli Wang, Zhihong Fang

Abstract read
In one paragraph

Article in Scientific reports, 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

7 authors.

Ziyi ZhouClinical Oncology Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No.274 Zhijiang Middle Road, Jinan, Shanghai, 200071, China.
Lanlan YangClinical Oncology Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No.274 Zhijiang Middle Road, Jinan, Shanghai, 200071, China.
Yuan FangClinical Oncology Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No.274 Zhijiang Middle Road, Jinan, Shanghai, 200071, China.
Rongzhong XuClinical Oncology Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No.274 Zhijiang Middle Road, Jinan, Shanghai, 200071, China.
Xi WangClinical Oncology Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No.274 Zhijiang Middle Road, Jinan, Shanghai, 200071, China.
Yuli WangClinical Oncology Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No.274 Zhijiang Middle Road, Jinan, Shanghai, 200071, China. wangyuli_tcm9403@shutcm.edu.cn.
Zhihong FangClinical Oncology Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No.274 Zhijiang Middle Road, Jinan, Shanghai, 200071, China. ffwf2001@126.com.

Funding

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 82204842Science and Technology Commission of Shanghai Municipality 22Y11921300WeiLai project from Shanghai Medical Innovation Development Foundation WL-HBBD-2021004KWeiLai project from Shanghai Medical Innovation Development Foundation WLJH2021ZY-MZY040WeiLai project from Shanghai Medical Innovation Development Foundation WL-YBXM-2022001KWeiLai project from Shanghai Medical Innovation Development Foundation WL-YJXYS-2021003KYangFan project from the Science and Technology Commission of Shanghai Municipality 22YF1445400
6 · The paper itself

Abstract

Stomach adenocarcinoma (STAD) is the most prevalent gastrointestinal malignancy and seriously threatens the life of the global population. Anoikis, a process of programmed cell death that occurs when cells detach from the extracellular matrix, is closely associated with tumor invasion and metastasis. In this study, we used the TCGA-STAD database to identify the expression patterns and prognostic relevance of anoikis-related genes (ARGs) in STAD. Functional enrichment analysis was used to explore the potential pathway. LASSO and Cox regression were used to construct anoikis-related prognostic signature. The anoikis risk score (ARS) incorporated 7 genes and stratified patients into highand low-risk subgroups by median value splitting. In addition, external validation was performed based on GSE66229, GSE15459, and GSE84437 cohorts. Nomograms were created based on risk characteristics in combination with clinical variants and the performance of the model was validated with time-dependent AUC, calibration curves, and decision curve analysis (DCA). The prognostic signature indicated that the low-risk subgroup had better outcomes and significant correlations with tumor microenvironment, immune landscape, immunotherapy response, and drug sensitivity. In addition, single-cell analysis displayed the cell types, the subcellular localization of prognostic genes, and the cellular interaction to reveal the potential molecular communication mechanism of anoikis resistance. Finally, in vitro experiments confirmed the critical role of CRABP2 in STAD. The results indicated that CRABP2 knockdown inhibited gastric cancer cell proliferation, migration and invasion, and promoted apoptosis. In summary, ARS can serve as a biomarker for predicting survival outcomes in STAD patients, providing new tools for personalized treatment decisions for STAD patients.

Indexed as

AdenocarcinomaAnoikisStomach NeoplasmsBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleNomogramsPrognosisTumor MicroenvironmentBiomarkers, TumorAnoikisBioinformaticsImmune landscapeStomach adenocarcinomaTumor microenvironment

Identifiers

PMID39910129
PMCPMC11799156

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.