A 6-Membrane Protein Gene score for prognostic prediction of cytogenetically normal acute myeloid leukemia in multiple cohorts.

ABSTRACT: Background: Cytogenetically normal acute myeloid leukemia (CN-AML) is a large proportion of AMLs with diverse prognostic outcomes. Identifying membrane protein genes as prognostic factors to stratify CN-AML patients will be critical to improve their outcomes. Purpose: This study aims to identify prognostic factors to stratify CN-AML patients to choose better treatments and improve their outcomes. Methods: CN-AML data were from TCGA cohort (n = 79) and four GEO datasets. We identified independent prognostic genes by Cox regression and Kaplan-Meier methods, and constructed linear regression model using LASSO algorithm. The prediction error curve was calculated using R package "pec". Results: Based on independent prognostic membrane genes, we constructed a regression model for CN-AML prognosi

SUBMITTER: Lin SY 

PROVIDER: S-EPMC6930412 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature