Characterization of unique pattern of immune cell profile in patients with nasopharyngeal carcinoma through flow cytometry and machine learning

• Published in: Journal of cellular and molecular medicine Vol. 28; no. 12; pp. e18404 - n/a
• Main Authors: Liao, Li‐Jen, Tsai, Chien‐Chen, Li, Po‐Yu, Lee, Cheng‐Yun, Lin, Shian‐Ren, Lai, Wan‐Yu, Chen, I‐Yu, Chang, Chiung‐Fang, Lee, Jan‐Mou, Chiu, Yen‐Ling
• Format: Journal Article
• Language: English
• Published: England John Wiley & Sons, Inc 01.06.2024; John Wiley and Sons Inc
• Subjects: Adult; Aged; Antibodies; Cancer therapies; Case-Control Studies; CD4 antigen; CD8 antigen; CD8-Positive T-Lymphocytes - immunology; Cell differentiation; CTLA-4 protein; Data processing; Demographics; Dendritic cells; Epstein-Barr virus; Feature selection; Female; Flow cytometry; Flow Cytometry - methods; Granulocytes; Humans; immune cell profile; Immune response (humoral); Immunoglobulin G; Immunological memory; Immunoregulation; Immunotherapy; Learning algorithms; Leukocytes; Lymphocytes B; Lymphocytes T; Machine Learning; Major histocompatibility complex; Male; Memory cells; Middle Aged; Monocytes; Nasopharyngeal carcinoma; nasopharyngeal carcinoma (NPC); Nasopharyngeal Carcinoma - immunology; Nasopharyngeal Carcinoma - pathology; Nasopharyngeal Neoplasms - immunology; Nasopharyngeal Neoplasms - pathology; Original; Patients; PD-1 protein; Peripheral blood; Plasma cells; Programmed Cell Death 1 Receptor - metabolism; Reagents; Software; Throat cancer; United States > US; nasopharyngeal carcinoma (NPC); flow cytometry; immune cell profile; machine learning
• ISSN: 1582-1838; 1582-4934; 1582-4934
• DOI: 10.1111/jcmm.18404

In patients with nasopharyngeal carcinoma (NPC), the alteration of immune responses in peripheral blood remains unclear. In this study, we established an immune cell profile for patients with NPC and used flow cytometry and machine learning (ML) to identify the characteristics of this profile. After...