Evidence map›Paper›PMID 42637882›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2026

Multi-omics integration and machine learning define an iron-sulfur cluster/zinc-binding protein prognostic signature in esophageal squamous cell carcinoma.

Wenhuan Chen, Tongtong Chen, Zhixuan Li, Wan Lin, Zefeng Xie, Hansheng Wu, Liyan Xu, Enmin Li, Hefeng Zhang, Yinwei Cheng

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Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2026. 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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2 · The registry

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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

10 authors.

Wenhuan Chen *Department of Thoracic Surgery, The First Affiliated Hospital of Shantou University Medical College, No. 57 Changping Road, Shantou, 515041, Guangdong, China.
Tongtong Chen *Department of Thoracic Surgery, The First Affiliated Hospital of Shantou University Medical College, No. 57 Changping Road, Shantou, 515041, Guangdong, China.
Zhixuan LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Shantou University Medical College, No. 57 Changping Road, Shantou, 515041, Guangdong, China.
Wan LinChaoshan Branch of State Key Laboratory for Esophageal Cancer Prevention and Treatment, Cancer Research Center, Shantou University Medical College, Shantou, Guangdong, China.
Zefeng XieDepartment of Thoracic Surgery, The First Affiliated Hospital of Shantou University Medical College, No. 57 Changping Road, Shantou, 515041, Guangdong, China.
Hansheng WuDepartment of Thoracic Surgery, The First Affiliated Hospital of Shantou University Medical College, No. 57 Changping Road, Shantou, 515041, Guangdong, China.
Liyan XuChaoshan Branch of State Key Laboratory for Esophageal Cancer Prevention and Treatment, Cancer Research Center, Shantou University Medical College, Shantou, Guangdong, China.
Enmin LiDepartment of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou, Guangdong, China.
Hefeng ZhangDepartment of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province, Shantou University, Shantou, Guangdong, China.
Yinwei ChengDepartment of Thoracic Surgery, The First Affiliated Hospital of Shantou University Medical College, No. 57 Changping Road, Shantou, 515041, Guangdong, China. ywcheng@stu.edu.cn.ORCID http://orcid.org/0000-0001-9256-103X

Funding

Guangdong Basic and Applied Basic Research Foundation 2025A1515012649National Natural Science Foundation of China Grant No. 81902469
6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is characterized by substantial intratumoral heterogeneity and poor clinical prognosis. Although metalloproteins are well-documented to drive ESCC malignant progression, incomplete functional annotation of this protein family significantly impedes the clinical translation of related research outcomes. This study reports the development and validation of a reliable prognostic model via integrating AlphaFold2-predicted iron-Sulfur (Fe-S) Cluster/Zinc (Zn)-binding proteins with ESCC multi-omics data. Nine differentially expressed AlphaFold2-predicted Fe-S/Zn-binding proteins significantly associated with ESCC prognosis were identified through integrated analysis of multi-omics and clinical data from public datasets and independent ESCC cohorts. After systematic evaluation of 117 machine learning combinations, a three-Fe-S/Zn-binding protein Prognostic Signature (FZPS) comprising YPEL5, MIB1 and ELAC2 was constructed, and validated as an independent predictor of poor overall survival across cohorts. High FZPS risk correlates with an immune-excluded, stress-adaptive phenotype with p21-driven inflammation and intrinsic immunotherapy resistance, while low-FZPS tumors harbor more actionable mutations and exhibit enhanced sensitivity to targeted therapy and immunotherapy. In vitro assays confirmed YPEL5 knockdown markedly suppresses ESCC cell viability, proliferation and migration. In conclusion, FZPS is a reliable independent prognostic biomarker guiding precision oncology practice for ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaIron-Sulfur ProteinsMachine LearningBiomarkers, TumorCell Line, TumorGene Expression Regulation, NeoplasticHumansMultiomicsPrognosisZincBiomarkers, TumorIron-Sulfur ProteinsZincEsophageal squamous cell carcinomaFe-S/Zn-binding proteinsMachine learningPrognostic signatureYPEL5

Identifiers

PMID42637882

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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.