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Dataset Information

A novel 5-gene prognostic signature to improve risk stratification of cytogenetically normal acute myeloid leukemia.


ABSTRACT:

Purpose

Prognostic prediction is a challenging task in cytogenetically normal acute myeloid leukemia (CN-AML) patients. In this study, we aimed at developing a novel prognostic signature to predict and stratify the survival of CN-AML patients.

Methods

Using a training dataset (GSE12417), 5-gene prognostic signature was established to predict survival of CN-AML patients. The prognostic performance of this prognostic signature was further validated in testing dataset (TCGA CN-AML cohort) and validation dataset (GSE6891 CN-AML cohort).

Results

In training, testing and validation datasets, the increased 5-gene risk score was significantly related with inferior overall survival (OS) of patients, and the area under the receiver operating characteristic curve (AUC) demonstra

SUBMITTER: Deng C 

PROVIDER: S-EPMC11796839 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature