Evidence map›Paper›PMID 40225867›Full record

ArticleInternational journal of medical sciences2025

MUC15 acts as a tumor suppressor gene which correlates with prognosis and immune infiltration in esophageal squamous cell carcinoma.

Xiang Fei, Ai-Li Wang, Hao Wu, Si-Wei Xing, Lei Chen, Ying Chen, Xue-Jing Lin, Hai-Long Liu, Bin Sun

Abstract read
In one paragraph

Article in International journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Xiang FeiDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, 507 Zhengmin Road, Shanghai 200433, P. R. China.
Ai-Li WangCenter for Clinical Research and Translational Medicine, Yangpu Hospital, Tongji University School of Medicine, 450 Tengyue Road, Shanghai, 200090, P. R. China.
Hao WuShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 274 Zhijiang Middle Road, Shanghai, 200071, P. R. China.
Si-Wei XingDepartment of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, P. R. China.
Lei ChenCenter for Clinical Research and Translational Medicine, Yangpu Hospital, Tongji University School of Medicine, 450 Tengyue Road, Shanghai, 200090, P. R. China.
Ying ChenCenter for Clinical Research and Translational Medicine, Yangpu Hospital, Tongji University School of Medicine, 450 Tengyue Road, Shanghai, 200090, P. R. China.
Xue-Jing LinCenter for Clinical Research and Translational Medicine, Yangpu Hospital, Tongji University School of Medicine, 450 Tengyue Road, Shanghai, 200090, P. R. China.
Hai-Long LiuDepartment of General Surgery, Yangpu Hospital, Tongji University School of Medicine, 450 Tengyue Road, Shanghai, 200090, P. R. China.
Bin SunCenter for Clinical Research and Translational Medicine, Yangpu Hospital, Tongji University School of Medicine, 450 Tengyue Road, Shanghai, 200090, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC), as a common malignant tumor of the digestive system, has been a challenge in improving and prolonging the postoperative survival of patients. This study aims to identify novel biomarkers that can guide the clinical diagnosis and treatment by using bioinformatics methods. The RNA-seq data and corresponding clinical data of ESCC were downloaded from the TCGA and GEO database. Weighted co-expression network analysis (WGCNA) was used to identify candidate biomarkers. The LASSO analysis was performed to classify the biomarkers. ROC curve and AUC were used to evaluate the sensitivity and specificity of biomarkers. CIBERSORT was applied to estimate the relative abundances of immune cell types through gene expression profiling. Univariate and multiple Cox regression were performed to screen out prognostic factors. MUC15, which abnormally expressed in different physiological processes and participates in inhibiting or promoting function in different types of tumors, was selected of candidate biomarker. Finally, we validated the expression of MUC15 in ESCC tissues and its inhibitory effect on cell function through

Indexed as

Biomarkers, TumorEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGenes, Tumor SuppressorMucinsAnimalsCell Line, TumorComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicePrognosisTumor MicroenvironmentBiomarkers, TumorMucinsesophageal squamous cell carcinomaimmune infiltrationMUC15prognosistumor suppressor geneWeighted co-expression network analysis

Identifiers

PMID40225867
PMCPMC11983305

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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.