Construction and Validation of an Immune-Related Prognostic Model Based on TP53 Status in Colorectal Cancer.

ABSTRACT: Growing evidence has indicated that prognostic biomarkers have a pivotal role in tumor and immunity biological processes. TP53 mutation can cause a range of changes in immune response, progression, and prognosis of colorectal cancer (CRC). Thus, we aim to build an immunoscore prognostic model that may enhance the prognosis of CRC from an immunological perspective. We estimated the proportion of immune cells in the GSE39582 public dataset using the CIBERSORT (Cell type identification by estimating relative subset of known RNA transcripts) algorithm. Prognostic genes that were used to establish the immunoscore model were generated by the LASSO (Least absolute shrinkage and selection operator) Cox regression model. We established and validated the immunoscore model in GEO (Gene Expression Omn

SUBMITTER: Zhao X 

PROVIDER: S-EPMC6895875 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature