{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Jiang N"],"funding":["National Natural Science Foundation of China","National Science and Technology Major Project"],"pagination":["823831"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8960857"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12"],"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"],"journal":["Frontiers in oncology"],"pubmed_title":["Identification of a Mitochondria-Related Gene Signature to Predict the Prognosis in AML."],"pmcid":["PMC8960857"],"funding_grant_id":["81774013"],"pubmed_authors":["Wan S","Li H","Wu J","Chen Q","Liu J","Zhang X","Jiang N","Kantawong F","Zhou J","Lu B"],"additional_accession":[]},"is_claimable":false,"name":"Identification of a Mitochondria-Related Gene Signature to Predict the Prognosis in AML.","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","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-04T19:10:46.253Z","creation":"2025-04-04T19:10:46.253Z"},"accession":"S-EPMC8960857","cross_references":{"pubmed":["35359394"],"doi":["10.3389/fonc.2022.823831"]}}