OBJECTIVES: The understanding of the mechanisms underlying thyroid cancer immune escape can lead to the identification of new molecular targets and/or efficacy biomarkers. For this purpose, we performed immune expression profiling in thyroid cancers to obtain a comprehensive view on immune mechanisms activated during cancer progression. METHODS: The study was conducted retrospectively in 25 papillary thyroid carcinomas (PTCs), 14 poorly differentiated thyroid carcinomas (PDTC), 13 anaplastic thyroid carcinomas (ATCs), and 7 normal thyroid (NT) tissue samples. Gene expression profiling was obtained on RNA samples using the Nanostring platform and its nCounter PanCancer Immune Profiling Panel. RESULTS: Gene expression comparison of ATC, PTC, and PDTC vs NT showed high number of regulated genes in cancer samples. In detail, immune-related gene sets were significantly upregulated (ATC > PTC > > PDTC). Most ATC and approximately half of PTC showed a microenvironment infiltrated by macrophages and T-cells with CD8+ effector phenotype, part of which appeared to be functionally exhausted. Conversely, most PDTC, as NT samples, as the remaining part of PTC, displayed a poor or absent infiltration by immune cells. Interestingly, an upregulation of inhibitory immune checkpoint mediators, including PDL1, PDL2, PD1, LAG-3, TIM-3, PVR, and TIGIT, could be detected in ATC and PTC. CONCLUSIONS: These data indicated the existence of two major immune phenotypes in thyroid carcinoma: an ATC-like one, including hot and altered-immunosuppressed tumors and a PDTC-like one, including altered-excluded and cold tumors. Confirmation of the findings in locally advanced or metastatic cancer tissues is expected to have important immunotherapeutic implications.
OBJECTIVES: The understanding of the mechanisms underlying thyroid cancer immune escape can lead to the identification of new molecular targets and/or efficacy biomarkers. For this purpose, we performed immune expression profiling in thyroid cancers to obtain a comprehensive view on immune mechanisms activated during cancer progression. METHODS: The study was conducted retrospectively in 25 papillary thyroid carcinomas (PTCs), 14 poorly differentiated thyroid carcinomas (PDTC), 13 anaplastic thyroid carcinomas (ATCs), and 7 normal thyroid (NT) tissue samples. Gene expression profiling was obtained on RNA samples using the Nanostring platform and its nCounter PanCancer Immune Profiling Panel. RESULTS: Gene expression comparison of ATC, PTC, and PDTC vs NT showed high number of regulated genes in cancer samples. In detail, immune-related gene sets were significantly upregulated (ATC > PTC > > PDTC). Most ATC and approximately half of PTC showed a microenvironment infiltrated by macrophages and T-cells with CD8+ effector phenotype, part of which appeared to be functionally exhausted. Conversely, most PDTC, as NT samples, as the remaining part of PTC, displayed a poor or absent infiltration by immune cells. Interestingly, an upregulation of inhibitory immune checkpoint mediators, including PDL1, PDL2, PD1, LAG-3, TIM-3, PVR, and TIGIT, could be detected in ATC and PTC. CONCLUSIONS: These data indicated the existence of two major immune phenotypes in thyroid carcinoma: an ATC-like one, including hot and altered-immunosuppressed tumors and a PDTC-like one, including altered-excluded and cold tumors. Confirmation of the findings in locally advanced or metastatic cancer tissues is expected to have important immunotherapeutic implications.
Authors: Adam Stenman; L Samuel Hellgren; Kenbugul Jatta; Martin Hysek; Maja Zemmler; Renske Altena; Inga-Lena Nilsson; Robert Bränström; Jan Zedenius; C Christofer Juhlin Journal: Endocr Pathol Date: 2020-03 Impact factor: 3.943
Authors: Katherine D Gray; Jaclyn E McCloskey; Yogindra Vedvyas; Olivia R Kalloo; Steve El Eshaky; Yanping Yang; Enda Shevlin; Marjan Zaman; Timothy M Ullmann; Heng Liang; Dessislava Stefanova; Paul J Christos; Theresa Scognamiglio; Andrew B Tassler; Rasa Zarnegar; Thomas J Fahey; Moonsoo M Jin; Irene M Min Journal: Clin Cancer Res Date: 2020-09-04 Impact factor: 12.531