Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia.

ABSTRACT:

Background

Fatty acid metabolism has been reported to play important roles in the development of acute myeloid leukemia (AML), but there are no prognostic signatures composed of fatty acid metabolism-related genes. As the current prognostic evaluation system has limitations due to the heterogeneity of AML patients, it is necessary to develop a new signature based on fatty acid metabolism to better guide prognosis prediction and treatment selection.

Methods

We analyzed the RNA sequencing and clinical data of The Cancer Genome Atlas (TCGA) and Vizome cohorts. The analyses were performed with GraphPad 7, the R language and SPSS.

Results

We selected nine significant genes in the fatty acid metabolism gene set through univariate Cox analysis and the log-rank test. Then, a

SUBMITTER: Chen M 

PROVIDER: S-EPMC9784255 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature