The transcriptomic landscape of gastric cancer: Insights into epstein-barr virus infected and microsatellite unstable tumors

• Main Authors: Gullo, I, Carvalho, J, Martins, D, Lemos, D, Monteiro, A.R, Ferreira, M, Das, K, Tan, P, Oliveira, C, Carneiro, F, Oliveira, P
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: MDPI 2020
• Subjects: cytotoxic T lymphocyte antigen 4; messenger RNA; programmed death 1 ligand 1; programmed death 1 receptor; protein; protein Dies1; protein VISTA; unclassified drug; CD274 protein, human; transcriptome; Article; bioinformatics; cancer immunotherapy; clinical article; correlation analysis; Epstein Barr virus; Epstein Barr virus infection; female; gene expression; human; human tissue; immune response; immunocompetent cell; immunohistochemistry; male; microsatellite instability; mitosis rate; molecular genetics; phenotype; protein expression; software; stomach cancer; stomach tumor; stroma cell; transcriptomics; cluster analysis; gene expression profiling; gene expression regulation; gene ontology; genetics; metabolism; physiology; procedures; retrospective study; virology; B7-H1 Antigen; Cluster Analysis; Epstein-Barr Virus Infections; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Gene Ontology; Herpesvirus 4, Human; Humans; Microsatellite Instability; Retrospective Studies; Stomach Neoplasms; Transcriptome
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/183837
• Institution: National University of Singapore

10.3390/ijms19072079