Evidence map›Paper›PMID 41347075›Full record

ArticleFrontiers in oncology2025

Construction and validation of a transmembrane 4 superfamily-related genes prognostic model for esophageal squamous cell carcinoma.

Xin Hao, Hao Ding, Hongyu Zhu, Xiaoying Gong, Yuxin Chang, Chunhua Liu, Sicong Hou

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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xin Hao *Department of Gastroenterology, Baoying People's Hospital, Yangzhou, China.
Hao Ding *Department of Thoracic Surgery, Baoying People's Hospital, Yangzhou, China.
Hongyu ZhuDepartment of Thoracic Surgery, Baoying People's Hospital, Yangzhou, China.
Xiaoying GongDepartment of Gastroenterology, Baoying People's Hospital, Yangzhou, China.
Yuxin ChangDepartment of Radiology, Baoying People's Hospital, Yangzhou, China.
Chunhua LiuDepartment of Gastroenterology, Baoying People's Hospital, Yangzhou, China.
Sicong HouKey Laboratory of the Jiangsu Higher Education Institutions for Integrated Traditional Chinese and Western Medicine in Senile Diseases Control, Faculty of Medicine, Yangzhou University, Yangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Esophageal squamous cell carcinoma (ESCC), a virulent form of cancer, markedly diminishes prospects for patient survival. The transmembrane 4 superfamily ( Methods: The datasets pertaining to ESCC from The Cancer Genome Atlas (TCGA)-ESCC and the GSE53622 cohort were meticulously examined. Differential and regression analyses discerned the pivotal signature genes. Subsequent stratification of patients into distinct risk groups was achieved by employing optimal risk score thresholds. This prognostic precision of model was assessed with Kaplan-Meier (K-M) curves and receiver operating characteristic (ROC) analyses. A nomogram integrating risk score with clinicopathological characteristics was meticulously constructed and subsequently validated. Additional analyses included functional enrichment, immune infiltration, immunotherapy responses, drug sensitivity, and molecular network analysis. The expression levels of the characteristic genes were meticulously examined in both TCGA-ESCC datasets and patient-derived tissues. Results: 24 candidate genes were identified. Among these, Conclusions:

Indexed as

bioinformatics analysisesophageal squamous cell carcinomaimmune infiltrationprognostic modeltransmembrane 4 superfamily

Identifiers

PMID41347075
PMCPMC12672243

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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.