{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15"],"submitter":["Wan P"],"pubmed_abstract":["<h4>Background</h4>Acute myeloid leukemia (AML) is a highly aggressive and pathogenic hematologic malignancy with consistently high mortality. Lysosomes are organelles involved in cell growth and metabolism that fuse to form specialized Auer rods in AML, and their role in AML has not been elucidated. This study aimed to identify AML subtypes centered on lysosome-related genes and to construct a prognostic model to guide individualized treatment of AML.<h4>Methods</h4>Gene expression data and clinical data from AML patients were downloaded from two high-throughput sequencing platforms. The 191 lysosomal signature genes were obtained from the database MsigDB. Lysosomal clusters were identified by unsupervised consensus clustering. The differences in molecular expression, biological processes"],"journal":["Frontiers in immunology"],"pagination":["1384633"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11117069"],"repository":["biostudies-literature"],"pubmed_title":["Lysosome-related genes predict acute myeloid leukemia prognosis and response to immunotherapy."],"pmcid":["PMC11117069"],"pubmed_authors":["Wang M","Yu L","Shao X","Wan P","Zhang H","Shen C","Liu B","Chen S","Zhong L","Zhou Z"],"additional_accession":[]},"is_claimable":false,"name":"Lysosome-related genes predict acute myeloid leukemia prognosis and response to immunotherapy.","description":"<h4>Background</h4>Acute myeloid leukemia (AML) is a highly aggressive and pathogenic hematologic malignancy with consistently high mortality. Lysosomes are organelles involved in cell growth and metabolism that fuse to form specialized Auer rods in AML, and their role in AML has not been elucidated. This study aimed to identify AML subtypes centered on lysosome-related genes and to construct a prognostic model to guide individualized treatment of AML.<h4>Methods</h4>Gene expression data and clinical data from AML patients were downloaded from two high-throughput sequencing platforms. The 191 lysosomal signature genes were obtained from the database MsigDB. Lysosomal clusters were identified by unsupervised consensus clustering. The differences in molecular expression, biological processes","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2026-04-08T19:49:47Z","creation":"2026-04-08T14:31:20.212Z"},"accession":"S-EPMC11117069","cross_references":{"pubmed":["38799454"],"doi":["10.3389/fimmu.2024.1384633"]}}