The Immune Profile of Pituitary Adenomas and a Novel Immune Classification for Predicting Immunotherapy Responsiveness

• Published in: The journal of clinical endocrinology and metabolism Vol. 105; no. 9; pp. e3207 - e3223
• Main Authors: Wang, Zihao, Guo, Xiaopeng, Gao, Lu, Deng, Kan, Lian, Wei, Bao, Xinjie, Feng, Ming, Duan, Lian, Zhu, Huijuan, Xing, Bing
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 01.09.2020
• Subjects: Adenoma - diagnosis; Adenoma - genetics; Adenoma - immunology; Adenoma - therapy; Algorithms; Analysis; Apoptosis; Biomarkers, Pharmacological - analysis; Biomarkers, Pharmacological - metabolism; Biomarkers, Tumor - classification; Biomarkers, Tumor - genetics; Biomarkers, Tumor - immunology; Brain cancer; Cabergoline; CD86 antigen; Cell death; Cells; CTLA-4 protein; Gene Expression Profiling; Gene Expression Regulation, Neoplastic - immunology; Humans; Immune checkpoint; Immune Checkpoint Proteins - classification; Immune Checkpoint Proteins - genetics; Immune response; Immunotherapy; Lymphocytes T; Lymphocytes, Tumor-Infiltrating - classification; Lymphocytes, Tumor-Infiltrating - metabolism; Lymphocytes, Tumor-Infiltrating - pathology; Medical research; Medicine, Experimental; Online Only; PD-1 protein; Pituitary; Pituitary gland; Pituitary Neoplasms - diagnosis; Pituitary Neoplasms - genetics; Pituitary Neoplasms - immunology; Pituitary Neoplasms - therapy; Prognosis; Proteases; T cells; Transcriptome - immunology; Treatment Outcome; Tumor Microenvironment - genetics; Tumor Microenvironment - immunology; Tumor-infiltrating lymphocytes; Tumors; Ubiquitin; Ubiquitin-specific proteinase; tumor-infiltrating immune cells; immune checkpoint molecules; Pituitary tumors; immune classification; immunotherapy responsiveness

Abstract Context The tumor immune microenvironment is associated with clinical outcomes and immunotherapy responsiveness. Objective To investigate the intratumoral immune profile of pituitary adenomas (PAs) and its clinical relevance and to explore a novel immune classification for predicting immuno...