Evidence map›Paper›PMID 41495747›Full record

ArticleWorld journal of surgical oncology2026

Development of a prognostic model for thyroid cancer based on mitochondrial metabolism-related genes and immune profiling.

Guorui Wang, Qinchao Feng, Guohua Zhu

Abstract read
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Article in World journal of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Guorui WangDepartment of Surgery, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Qianronglu Road 18, Wuxi, Jiangsu, 214063, China.
Qinchao FengDepartment of Surgery, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Qianronglu Road 18, Wuxi, Jiangsu, 214063, China.
Guohua ZhuDepartment of Surgery, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Qianronglu Road 18, Wuxi, Jiangsu, 214063, China. zhuguohua101010@163.com.

Funding

Jiangsu Provincial Medical Key Discipline (Laboratory), Project number: ZDXYS202211, project implementation period: 2022-2025. ZDXYS202211
6 · The paper itself

Abstract

backgroundThe preliminary study found that mitochondrial metabolism and structure are abnormal in thyroid cancer (THCA) patients. Therefore, this study systematically investigates the relationship between mitochondrial metabolism-related genes (MMRGs) and the prognosis of THCA patients, while establishing a prognostic model for THCA.

methodsThis study utilized THCA transcriptome data from the UCSC Xena database, performed differential expression analysis using the “limma” package, and intersected differentially expressed genes (DEGs) with MMRG to identify differentially expressed MMRGs (DEMMRGs). THCA prognostic genes were identified using the least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analysis, and a prognostic model was constructed. Using ssGSEA, CIBERSORT and Immune Phenotype Score methods, we compared differences in immune cell infiltration levels and anti-tumor immune response capacity between distinct risk groups. Furthermore, molecular subtypes of THCA were identified through consensus clustering analysis.

resultsThis study systematically identified nine MMRGs to construct a robust prognostic prediction model for THCA. Enrichment analysis revealed that patients in the low-risk group exhibited significant enrichment in multiple immune-related pathways, such as T cell-mediated immune responses to tumor cells, and demonstrated stronger responsiveness to anti-CTLA-4 and anti-PD-1 immunotherapies compared to the high-risk group. Further analysis identified two distinct molecular subtypes of THCA: Group 2 exhibited upregulation of immune checkpoint molecules, elevated ESTIMATEScore and StromalScore, and lower TumorPurity.

conclusionThis study adopts the unique perspective of MMRGs to elucidate their pivotal role and molecular basis within the THCA tumor microenvironment, offering novel insights for deepening our understanding of the disease’s pathogenesis and developing innovative therapeutic strategies.

Indexed as

Biomarkers, TumorMitochondriaThyroid NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisTranscriptomeTumor MicroenvironmentBiomarkers, TumorMitochondrial metabolism-related genesMolecular subtypesPrognostic modelThyroid cancer

Identifiers

PMID41495747
PMCPMC12871013

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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.