<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Jiang N</submitter><funding>National Natural Science Foundation of China</funding><funding>National Science and Technology Major Project</funding><pagination>823831</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8960857</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12</volume><pubmed_abstract>Mitochondria-related metabolic reprogramming plays a major role in the occurrence, development, drug resistance, and recurrence of acute myeloid leukemia (AML). However, the roles of mitochondria-related genes (MRGs) in the prognosis and immune microenvironment for AML patients remain largely unknown. In this study, by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, 4 MRGs' (HPDL, CPT1A, IDH3A, and ETFB) signature was established that demonstrated good robustness in TARGET AML datasets. The univariate and multivariate Cox regression analyses both demonstrated that the MRG signature was a robust independent prognostic factor in overall survival prediction with high accuracy for AML patients. Based on the risk score calculated by the signature, samples were d</pubmed_abstract><journal>Frontiers in oncology</journal><pubmed_title>Identification of a Mitochondria-Related Gene Signature to Predict the Prognosis in AML.</pubmed_title><pmcid>PMC8960857</pmcid><funding_grant_id>81774013</funding_grant_id><pubmed_authors>Wan S</pubmed_authors><pubmed_authors>Li H</pubmed_authors><pubmed_authors>Wu J</pubmed_authors><pubmed_authors>Chen Q</pubmed_authors><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Jiang N</pubmed_authors><pubmed_authors>Kantawong F</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors><pubmed_authors>Lu B</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification of a Mitochondria-Related Gene Signature to Predict the Prognosis in AML.</name><description>Mitochondria-related metabolic reprogramming plays a major role in the occurrence, development, drug resistance, and recurrence of acute myeloid leukemia (AML). However, the roles of mitochondria-related genes (MRGs) in the prognosis and immune microenvironment for AML patients remain largely unknown. In this study, by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, 4 MRGs' (HPDL, CPT1A, IDH3A, and ETFB) signature was established that demonstrated good robustness in TARGET AML datasets. The univariate and multivariate Cox regression analyses both demonstrated that the MRG signature was a robust independent prognostic factor in overall survival prediction with high accuracy for AML patients. Based on the risk score calculated by the signature, samples were d</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-04T19:10:46.253Z</modification><creation>2025-04-04T19:10:46.253Z</creation></dates><accession>S-EPMC8960857</accession><cross_references><pubmed>35359394</pubmed><doi>10.3389/fonc.2022.823831</doi></cross_references></HashMap>