Identification of microsatellite instability and immune-related prognostic biomarkers in colon adenocarcinoma

BackgroundColon adenocarcinoma (COAD) is a prevalent malignancy that causes significant mortality. Microsatellite instability plays a pivotal function in COAD development and immunotherapy resistance. However, the detailed underlying mechanism requires further investigation. Consequently, identifyin...

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Published in:Frontiers in immunology 2022-10, Vol.13, p.988303-988303
Main Authors: Sun, Ziquan, Li, Guodong, Shang, Desi, Zhang, Jinning, Ai, Lianjie, Liu, Ming
Format: Article
Language:English
Subjects:
colon adenocarcinoma (COAD)
drug response
immune microenvironment
Immunology
microsatellite instability (MSI)
prognostic biomarkers
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Summary:BackgroundColon adenocarcinoma (COAD) is a prevalent malignancy that causes significant mortality. Microsatellite instability plays a pivotal function in COAD development and immunotherapy resistance. However, the detailed underlying mechanism requires further investigation. Consequently, identifying molecular biomarkers with prognostic significance and revealing the role of MSI in COAD is important for addressing key obstacles in the available treatments. MethodsCIBERSORT and ESTIMATE analyses were performed to evaluate immune infiltration in COAD samples, followed by correlation analysis for MSI and immune infiltration. Then, differentially expressed genes (DEGs) in MSI and microsatellite stability (MSS) samples were identified and subjected to weighted gene co-expression network analysis (WGCNA). A prognostic model was established with univariate cox regression and LASSO analyses, then evaluated with Kaplan-Meier analysis. The correlation between the prognostic model and immune checkpoint inhibitor (ICI) response was also analyzed. ResultsIn total, 701 significant DEGs related to MSI status were identified, and WGCNA revealed two modules associated with the immune score. Then, a seven-gene prognostic model was constructed using LASSO and univariate cox regression analyses to predict survival and ICI response. The high-risk score patients in TCGA and GEO cohorts presented a poor prognosis, as well as a high immune checkpoint expression, so they are more likely to benefit from ICI treatment. ConclusionThe seven-gene prognostic model constructed could predict the survival of COAD and ICI response and serve as a reference for immunotherapy decisions.
ISSN:1664-3224
1664-3224
DOI:10.3389/fimmu.2022.988303