{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["104(7)"],"submitter":["Chen C"],"pubmed_abstract":["<h4>Background</h4> Neovascularization mechanisms are hyperactivated in tumors, leading to vascular dysfunction and contributing to tumor metastasis and growth. This study aims to comprehensively analyze angiogenesis-associated genes in relation to the prognosis of elderly patients with acute myeloid leukemia (AML).<h4>Methods</h4>Leukemia gene expression data were obtained from the GSE37642 (training set) and TCGA_LAML (validation set) datasets. Angiogenesis-associated genes were identified using the GeneCards database. Univariate Cox regression and LASSO analyses were employed to identify angiogenesis-associated genes linked to AML prognosis. A prognostic signature was constructed based on the selected genes, and its biological functions were analyzed. Finally, we predicted AML drug sens"],"journal":["Annals of hematology"],"pagination":["3681-3691"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12334451"],"repository":["biostudies-literature"],"pubmed_title":["Prognostic significance of angiogenesis-associated molecules and Immunologic characteristic in elderly patients with acute myeloid leukemia."],"pmcid":["PMC12334451"],"pubmed_authors":["Huang Y","Lu J","Miao Y","Zhang L","Chen C","Cheng Y","Wang L"],"additional_accession":[]},"is_claimable":false,"name":"Prognostic significance of angiogenesis-associated molecules and Immunologic characteristic in elderly patients with acute myeloid leukemia.","description":"<h4>Background</h4> Neovascularization mechanisms are hyperactivated in tumors, leading to vascular dysfunction and contributing to tumor metastasis and growth. This study aims to comprehensively analyze angiogenesis-associated genes in relation to the prognosis of elderly patients with acute myeloid leukemia (AML).<h4>Methods</h4>Leukemia gene expression data were obtained from the GSE37642 (training set) and TCGA_LAML (validation set) datasets. Angiogenesis-associated genes were identified using the GeneCards database. Univariate Cox regression and LASSO analyses were employed to identify angiogenesis-associated genes linked to AML prognosis. A prognostic signature was constructed based on the selected genes, and its biological functions were analyzed. Finally, we predicted AML drug sens","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2026-04-07T14:21:13.739Z","creation":"2026-04-07T14:01:23.854Z"},"accession":"S-EPMC12334451","cross_references":{"pubmed":["40670727"],"doi":["10.1007/s00277-025-06454-3"]}}