Papillary Thyroid Carcinoma Landscape and Its Immunological Link With Hashimoto Thyroiditis at Single-Cell Resolution.
Papillary Thyroid Carcinoma Landscape and Its Immunological Link With Hashimoto Thyroiditis at Single-Cell Resolution.
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单细胞分辨率的甲状腺乳头状癌景观及其与桥本甲状腺炎的免疫学联系。
DOI:
10.3389/fcell.2021.758339
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发表时间:
2021
影响因子:
5.5
通讯作者:
Wu Y
中科院分区:
文献类型:
--
作者:
Pan J;Ye F;Yu C;Zhu Q;Li J;Zhang Y;Tian H;Yao Y;Zhu M;Shen Y;Zhu F;Wang Y;Zhou X;Guo G;Wu Y
The tumor microenvironment heterogeneity of papillary thyroid cancer (PTC) is poorly characterized. The relationship between PTC and Hashimoto thyroiditis (HT) is also in doubt. Here, we used single-cell RNA sequencing to map the transcriptome landscape of PTC from eight PTC patients, of which three were concurrent with HT. Predicted copy number variation in epithelial cells and mesenchymal cells revealed the distinct molecular signatures of carcinoma cells. Carcinoma cells demonstrated intertumoral heterogeneity based on BRAF V600E mutation or lymph node metastasis, and some altered genes were identified to be correlated with disease-free survival in The Cancer Genome Atlas datasets. In addition, transcription factor regulons of follicular epithelial cells unveil the different transcription activation state in PTC patients with or without concurrent HT. The immune cells in tumors exhibited distinct transcriptional states, and the presence of tumor-infiltrating B lymphocytes was predominantly linked to concurrent HT origin. Trajectory analysis of B cells and plasma cells suggested their migration potential from HT adjacent tissues to tumor tissues. Furthermore, we revealed diverse ligand–receptor pairs between non-immune cells, infiltrating myeloid cells, and lymphocytes. Our results provided a single-cell landscape of human PTC. These data would deepen the understanding of PTC, as well as the immunological link between PTC and HT.
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影响因子:
4
作者:
Hess, J;Angel, P;Schorpp-Kistner, M
通讯作者:
Schorpp-Kistner, M
影响因子:
3.8
作者:
Guan H;Guo Z;Liang W;Li H;Wei G;Xu L;Xiao H;Li Y
通讯作者:
Li Y
影响因子:
16.6
作者:
Chen Z;Zhou L;Liu L;Hou Y;Xiong M;Yang Y;Hu J;Chen K
通讯作者:
Chen K
影响因子:
8.8
作者:
Gooden, M. J. M.;Wiersma, V. R.;Boerma, A.;Leffers, N.;Boezen, H. M.;ten Hoor, K. A.;Hollema, H.;Walenkamp, A. M. E.;Daemen, T.;Nijman, H. W.;Bremer, E.
通讯作者:
Bremer, E.
影响因子:
46.9
作者:
Gao R;Bai S;Henderson YC;Lin Y;Schalck A;Yan Y;Kumar T;Hu M;Sei E;Davis A;Wang F;Shaitelman SF;Wang JR;Chen K;Moulder S;Lai SY;Navin NE
通讯作者:
Navin NE