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A distinct tumor microenvironment makes anaplastic thyroid cancer more lethal but immunotherapy sensitive than papillary thyroid cancer
Pei-Zhen Han, … , Dong-Mei Ji, Yu-Long Wang
Pei-Zhen Han, … , Dong-Mei Ji, Yu-Long Wang
Published March 13, 2024
Citation Information: JCI Insight. 2024;9(8):e173712. https://doi.org/10.1172/jci.insight.173712.
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Research Article Oncology

A distinct tumor microenvironment makes anaplastic thyroid cancer more lethal but immunotherapy sensitive than papillary thyroid cancer

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Abstract

Both anaplastic thyroid cancer (ATC) and papillary thyroid cancer (PTC) originate from thyroid follicular epithelial cells, but ATC has a significantly worse prognosis and shows resistance to conventional therapies. However, clinical trials found that immunotherapy works better in ATC than late-stage PTC. Here, we used single-cell RNA sequencing (scRNA-Seq) to generate a single-cell atlas of thyroid cancer. Differences in ATC and PTC tumor microenvironment components (including malignant cells, stromal cells, and immune cells) leading to the polarized prognoses were identified. Intriguingly, we found that CXCL13+ T lymphocytes were enriched in ATC samples and might promote the development of early tertiary lymphoid structure (TLS). Last, murine experiments and scRNA-Seq analysis of a treated patient’s tumor demonstrated that famitinib plus anti–PD-1 antibody could advance TLS in thyroid cancer. We displayed the cellular landscape of ATC and PTC, finding that CXCL13+ T cells and early TLS might make ATC more sensitive to immunotherapy.

Authors

Pei-Zhen Han, Wei-Dong Ye, Peng-Cheng Yu, Li-Cheng Tan, Xiao Shi, Xu-Feng Chen, Cong He, Jia-Qian Hu, Wen-Jun Wei, Zhong-Wu Lu, Ning Qu, Yu Wang, Qing-Hai Ji, Dong-Mei Ji, Yu-Long Wang

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Figure 4

Multiple kinds of immune cells form a more immunosuppressive phenotype in ATC than in PTC.

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Multiple kinds of immune cells form a more immunosuppressive phenotype i...
(A) UMAP plot depicting 12 subgroups of T and NK lymphocytes from ATC and PTC samples. (B) Heatmap of the expression of canonical functional markers among 12 kinds of T or NK cells. (C) Trajectory analysis revealed distinct cell states of CD8+ T cells from ATC and PTC samples. (D) Correlation between calculated Exhaustion_Score and Component 1. T lymphocytes were stained according to their tissue origin. (E) M1 and M2 scores of macrophages from different tissues. (F) Heatmap of GSVA results of upregulated genes in macrophages from different tissues. (G) Violin plots of key DC-related biomarker expression in LAMP3-DCs derived from PT, PTC, and ATC samples.

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