Evidence map›Paper›PMID 41693979›Full record

ArticleWorld journal of gastroenterology2026

Xiao-Cheng Tang, Zi-Jian Chen, Chun-Yu Chen, Jun Qiu, Jin-Tuan Huang, Rong-Chang Tan, Wei-Yao Li, Hao Chen, Zu-Li Yang

Abstract read
In one paragraph

Article in World journal of gastroenterology, 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

9 authors.

Xiao-Cheng TangDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Zi-Jian ChenDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Chun-Yu ChenDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Jun QiuDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Jin-Tuan HuangDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Rong-Chang TanDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Wei-Yao LiDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Hao ChenDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Zu-Li YangDepartment of Gastric Surgery Section 2, Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China. yangzuli@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemoresistance significantly limits the therapeutic efficacy of neoadjuvant chemotherapy (NACT) in advanced gastric cancer (AGC). There is an urgent need to identify robust biomarkers predictive of NACT response and to elucidate the molecular mechanisms that drive resistance. In this study, we systematically assess whether intercellular adhesion molecule 2 (

aimTo investigate the predictive significance and mechanistic role of

methodsReal-time PCR, Western blotting, enzyme-linked immunosorbent assay, and immunohistochemistry were conducted to assess alterations in

resultsLow ICAM2 expression correlated significantly with poor NACT response, advanced tumor stage, worse differentiation, and reduced overall survival and disease-free survival in AGC patients. Pre-NACT serum ICAM2 demonstrated high predictive accuracy (area under the curve = 0.876) in discriminating chemotherapy responders from non-responders. Mechanistically,

conclusionOur study highlights the clinical impact of ICAM2 downregulation predicting poor outcome and NACT response in AGC patients, and reveals a novel ICAM2/TGF-β/Smad/SP1/PTN signaling mediating 5-FU resistance in GC.

Indexed as

Cell Adhesion MoleculesDrug Resistance, NeoplasmFluorouracilStomach NeoplasmsAnimalsAntigens, CDAntimetabolites, AntineoplasticApoptosisBiomarkers, TumorCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMacrophagesMaleMiceAntigens, CDAntimetabolites, AntineoplasticBiomarkers, TumorCell Adhesion MoleculesFluorouracilICAM2 protein, humanSp1 Transcription FactorApoptosisBiomarkerChemoresistanceGastric cancerIntercellular adhesion molecule 2Tumor microenvironment

Identifiers

PMID41693979
PMCPMC12897517

What Socratic holds

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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 Socratic graph.