Impact of Hashimoto's thyroiditis on the tumor microenvironment in papillary thyroid cancer: insights from single-cell analysis

被引:3
作者
Ma, Hongzhe [1 ]
Li, Guoqi [1 ]
Huo, Diwei [2 ]
Su, Yangguang [1 ]
Jin, Qing [1 ]
Lu, Yangxu [1 ]
Sun, Yanyan [3 ]
Zhang, Denan [1 ]
Chen, Xiujie [1 ]
机构
[1] Harbin Med Univ, Coll Bioinformat & Sci Technol, Dept Pharmacogen, Harbin, Peoples R China
[2] Harbin Med Univ, Affiliated Hosp 4, Dept Urol Surg, Harbin, Peoples R China
[3] Harbin Med Univ, Affiliated Hosp 4, Dept Gen Surg, Harbin, Peoples R China
基金
中国国家自然科学基金;
关键词
single-cell analysis; thyroid-stimulating hormone; immune cell communication; cancer genomics; TCGA-THCA; MOLECULAR-BASIS; CARCINOMA; LYMPHOCYTES; MUTATION;
D O I
10.3389/fendo.2024.1339473
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
This study investigates the impact of Hashimoto's thyroiditis (HT), an autoimmune disorder, on the papillary thyroid cancer (PTC) microenvironment using a dataset of 140,456 cells from 11 patients. By comparing PTC cases with and without HT, we identify HT-specific cell populations (HASCs) and their role in creating a TSH-suppressive environment via mTE3, nTE0, and nTE2 thyroid cells. These cells facilitate intricate immune-stromal communication through the MIF-(CD74+CXCR4) axis, emphasizing immune regulation in the TSH context. In the realm of personalized medicine, our HASC-focused analysis within the TCGA-THCA dataset validates the utility of HASC profiling for guiding tailored therapies. Moreover, we introduce a novel, objective method to determine K-means clustering coefficients in copy number variation inference from bulk RNA-seq data, mitigating the arbitrariness in conventional coefficient selection. Collectively, our research presents a detailed single-cell atlas illustrating HT-PTC interactions, deepening our understanding of HT's modulatory effects on PTC microenvironments. It contributes to our understanding of autoimmunity-carcinogenesis dynamics and charts a course for discovering new therapeutic targets in PTC, advancing cancer genomics and immunotherapy research.
引用
收藏
页数:16
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