Integrating multi-omics and machine learning to unravel mechanisms of lymph node metastasis in papillary carcinoma with and without thyroiditis

PTC-blank and PTC-thyroiditis exhibit distinct LNM mechanisms: ECM remodeling and fibroblast infiltration are associated with metastasis in PTC-blank, while immune dysregulation appears to be more prominent in PTC-thyroiditis. The identified 17-gene model offers robust predictive value for LNM risk, and SHISA5 represents a novel causal gene and potential therapeutic target. These findings provide insights into subtype-specific management strategies for PTC patients.

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Publication Details

Journal
Frontiers in Immunology
Published
2026-02-18
DOI
https://doi.org/10.3389/fimmu.2026.1708330
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating multi-omics and machine learning to unravel mechanisms of lymph node metastasis in papillary carcinoma with and without thyroiditis

Wencan Yang, Shuran Chen, Angqing Li, Ying Liu
Frontiers in Immunology
Thyroid Cancer Diagnosis and Treatment
article

Integrating multi-omics and machine learning to unravel mechanisms of lymph node metastasis in papillary carcinoma with and without thyroiditis

Wencan Yang, Shuran Chen, Angqing Li, Ying Liu
article en

Abstract

PTC-blank and PTC-thyroiditis exhibit distinct LNM mechanisms: ECM remodeling and fibroblast infiltration are associated with metastasis in PTC-blank, while immune dysregulation appears to be more prominent in PTC-thyroiditis. The identified 17-gene model offers robust predictive value for LNM risk, and SHISA5 represents a novel causal gene and potential therapeutic target. These findings provide insights into subtype-specific management strategies for PTC patients.

Frontiers in ImmunologyVol. 17
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN), Third People's Hospital of Hefei (CN)
Good health and well-being
Openalex Percentile: Top 54%
Thyroid Cancer Diagnosis and Treatment
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