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ABSTRACT: Background
Recently, oxidative stress and inflammatory responses have been shown to directly impact tumor growth and the tumor microenvironment (TME). However, more research is necessary to fully understand the relationship between oxidative stress and inflammatory responses and colorectal cancer (CRC).Methods
The FindCluster algorithm was used to extract CRC Single-cell RNA sequencing (scRNA-seq) data and identify tumor cell groupings. From the MSigDB database, genes associated with oxidative stress and the inflammatory response were taken. We identified molecular subtypes and built a predictive risk model with the LASSO-Cox method using the ConsensusClusterPlus software suite. We incorporated the prognostic risk model and other clinicopathological parameters into a column
SUBMITTER: Guo Y
PROVIDER: S-EPMC11893970 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature