Evidence map›Paper›PMID 42507215›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026

Characterizing risk groups in papillary thyroid carcinoma through T-Cell mediated tumor cell killing-related genes: a pathway to therapeutic predictions.

Yan Zhong, Guanghui Ren, Tao Huang, Yiming Sang, Jizong Zhang

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 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

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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

5 authors.

Yan Zhong *Department of Thyroid and Breast Surgery, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No.1-1, Zhongfu Road, Gulou District, Nanjing City, 210009, China.
Guanghui Ren *Department of Thyroid and Breast Surgery, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No.1-1, Zhongfu Road, Gulou District, Nanjing City, 210009, China.
Tao HuangDepartment of Thyroid and Breast Surgery, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No.1-1, Zhongfu Road, Gulou District, Nanjing City, 210009, China.
Yiming SangDepartment of Thyroid and Breast Surgery, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No.1-1, Zhongfu Road, Gulou District, Nanjing City, 210009, China.
Jizong ZhangDepartment of Thyroid and Breast Surgery, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No.1-1, Zhongfu Road, Gulou District, Nanjing City, 210009, China. Jizongzzhang@163.com.ORCID http://orcid.org/0009-0008-6570-2771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough immune checkpoint inhibitors show promise in papillary thyroid carcinoma (PTC), their efficacy is limited by immune resistance. This study constructed a prognostic model based on genes associated with the sensitivity of tumor cells to T cell-mediated tumor killing (GSTTKs) to evaluate their role in prognostic prediction for PTC.

methodsDifferentially expressed genes between PTC and normal tissues were identified from the TCGA dataset and intersected with GSTTKs to obtain TTK-related differentially expressed genes. A prognostic model was constructed through regression analysis, and predictive performance was evaluated using ROC curves. The impact of model genes on the malignant progression of PTC was validated through cell experiments, and the regulatory relationship between key transcription factors and target genes was verified using ChIP-qPCR.

resultsA prognostic model constructed based on five TTK-related genes (including B3GLCT, EPS15L1, and FGFR4) exhibited robust predictive performance in PTC. EPS15L1, P2RY11, and B3GLCT may serve as candidate therapeutic targets for PTC, whereas knockdown of PSORS1C1 repressed malignant progression of PTC cells under the transcriptional regulation of PRDM10.

conclusionA prognostic model built on genes associated with intrinsic T-cell killing sensitivity of tumor cells enables risk stratification of PTC patients independent of immune cell infiltration abundance, and the identified drug-target interactions as well as the PRDM10/PSORS1C1 regulatory axis offer novel insights for precision therapy.

Indexed as

Thyroid Cancer, PapillaryThyroid NeoplasmsT-LymphocytesFemaleGene Expression Regulation, NeoplasticHumansPrognosisRisk AssessmentDrugsImmune TherapyPapillary Thyroid CarcinomaPrognosisT Cell-Mediated Tumor Killing

Identifiers

PMID42507215

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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.