A novel prognostic classification integrating lipid metabolism and immune co-related genes in acute myeloid leukemia.

ABSTRACT:

Background

As a severe hematological malignancy in adults, acute myeloid leukemia (AML) is characterized by high heterogeneity and complexity. Emerging evidence highlights the importance of the tumor immune microenvironment and lipid metabolism in cancer progression. In this study, we comprehensively evaluated the expression profiles of genes related to lipid metabolism and immune modifications to develop a prognostic risk signature for AML.

Methods

First, we extracted the mRNA expression profiles of bone marrow samples from an AML cohort from The Cancer Genome Atlas database and employed Cox regression analysis to select prognostic hub genes associated with lipid metabolism and immunity. We then constructed a prognostic signature with hub genes significantly related to surv

SUBMITTER: Li D 

PROVIDER: S-EPMC10667441 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature