Investigating ARGscore and Clinical Characteristics

The correlation between ARGscore and clinical characteristics was investigated. Using univariate and multivariate analyses, we assessed whether the ARGscore is separate from other clinical factors as a prognostic indicator. We quantified 22 infiltrating immune cells using CIBERSORT and compared their levels between subgroups. Moreover, immune checkpoint expression levels were compared between distinct groups. Additionally, we examined the correlation between the ARGscore, microsatellite instability (MSI), and cancer stem cell (CSC). The waterfall function of the “mafTools” package was used to present mutations in the TCGA-COAD/READ cohort in order to differentiate somatic mutations from ARGscore-low and ARGscore-high subgroups. We calculated the IC₅₀ of the used chemotherapeutic agents for CRC using the pRophetic package to explore the differences in efficacy between the two subgroups.

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Zhang C., Liu T., Yun Z., Liang B., Li X, & Zhang J. (2023). Identification of angiogenesis-related subtypes, the development of prognostic models, and the landscape of tumor microenvironment infiltration in colorectal cancer. Frontiers in Pharmacology, 14, 1103547.

Publication 2023

Cancer stem cell Cells Checkpoint Chemotherapeutic agents Coad Microsatellite instability Mutations Somatic

Corresponding Organization :

Other organizations : First Hospital of Jilin University, Jilin University

Top 5 similar protocols

Variable analysis

independent variables

ARGscore

dependent variables

Infiltrating immune cell levels
Immune checkpoint expression levels
Microsatellite instability (MSI)
Cancer stem cell (CSC)
Somatic mutations
Chemotherapeutic agent efficacy (IC₅₀)

control variables

Clinical characteristics

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