The tumor immune microenvironment of follicular cell-derived thyroid carcinomas across different grades utilizing gene expression and spatial proteomic profiling
Implementing Organization
All India Institute of Medical Sciences
Principal Investigator
Dr. Shipra Agarwal
All India Institute of Medical Sciences
CO-Principal Investigator
Dr. Mehar Chand Sharma
All India Institute of Medical Sciences
CO-Principal Investigator
Dr. Chandrasekhar Bal
All India Institute of Medical Sciences
CO-Principal Investigator
Dr. Sameer Rastogi
All India Institute of Medical Sciences
CO-Principal Investigator
Dr. Riyaz Ahmad Mir
All India Institute of Medical Sciences
CO-Principal Investigator
Dr. Babul Bansal
All India Institute of Medical Sciences
CO-Principal Investigator
Dr. Sunil Chumber
All India Institute of Medical Sciences
CO-Principal Investigator
Dr. SVS Deo
All India Institute of Medical Sciences
Project Overview
Thyroid carcinoma is a common endocrinological malignancy, with differentiated thyroid carcinoma (DTC) having a good prognosis and being amenable to radioactive iodine (RAI) treatment. However, 50% of poorly differentiated thyroid carcinomas (PDTC) and all anaplastic thyroid carcinomas (ATC) are RAI-resistant. DTCs with high-grade histological features, such as increased mitotic activity, proliferation index, and necrosis, have been re-classified by the WHO into a separate group called 'follicular-derived carcinoma, high-grade (HGTC).' HGTC and ATC are often large, involving soft tissues of the neck, blood vessels, lymph node, and distant metastases. Overall survival of HGTC is about 50% at 10 years, while less than 6 months for more than 95% ATC patients. Immunotherapy is a promising therapeutic option in aggressive malignancies, as immune checkpoint inhibition activates antitumoral immune response, regulating tumor growth. However, response depends on the existence of appropriate tumor immune microenvironment (TIME), such as tumor-reactive T cells. Limited literature exists on the status of TIME in thyroid carcinomas, and most studies have evaluated small panels of biomolecules. The nCounter technology (NanoString Technologies) is a highly multiplexed method that reliably detects hundreds of nucleic acid/protein targets, making it useful in ATC and rare cancers like HGTC and ATC. The study aims to elucidate TIME of follicular cell-derived thyroid carcinomas using NanoString-based profiling of RNA and proteins, comparing results between low and high-grade tumors.