Prognostic value of immune scores in the microenvironment of colorectal cancer
Author(s) -
Wenliang Yuan,
Wei Cai,
Xiao Huang,
Sihua Peng
Publication year - 2020
Publication title -
oncology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 54
eISSN - 1792-1082
pISSN - 1792-1074
DOI - 10.3892/ol.2020.12119
Subject(s) - immune system , immunotherapy , tumor microenvironment , stromal cell , colorectal cancer , cancer , cancer immunotherapy , cancer research , immunology , biology , medicine , genetics
Cancer immunotherapy has become an important means of cancer treatment; however, the complex composition and heterogeneity of the colorectal cancer (CRC) microenvironment pose a huge challenge to cancer immunotherapy. Using data downloaded from The Cancer Genome Atlas database, the differences in the microenvironment between cases with low and high immune scores were examined at the multiomics level using bioinformatics approaches. It was revealed that the samples with high immune scores had good cytolytic immune responses and relatively abundant stromal cells, as well as significant infiltration of 22 immune cell subsets and a high non-synonymous mutation burden and neoantigen burden. All of these characteristics contribute to a good prognosis. To better understand the impact of immune-related genes on prognosis, differentially expressed genes between the low and high immune score samples were identified and it was concluded that serpin family Emember 1 (SERPINE1) and ubiquitin C-terminal hydrolase L1 (UCHL1) may be potential therapeutic targets. The relationship between the immune score and the infiltration of 22 immune cells and the difference in SERPINE1 expression were verified by analyzing the GSE17536 and GSE21510 data sets downloaded from the Gene Expression Omnibus database. The present study analyzed the unique properties of immune cells in the CRC microenvironment, which are of great significance for understanding CRC immune mechanism and may also provide novel ideas for the targeted design of cancer immunotherapy.
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