biostudies-literatureUnknown104(7)Chen C<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 sensAnnals of hematology3681-3691https://www.ebi.ac.uk/biostudies/studies/S-EPMC12334451biostudies-literaturePrognostic significance of angiogenesis-associated molecules and Immunologic characteristic in elderly patients with acute myeloid leukemia.PMC12334451Huang YLu JMiao YZhang LChen CCheng YWang LfalsePrognostic significance of angiogenesis-associated molecules and Immunologic characteristic in elderly patients with acute myeloid leukemia.<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 sens2025-01-01T00:00:00Z2025 Jul2026-04-07T14:21:13.739Z2026-04-07T14:01:23.854ZS-EPMC123344514067072710.1007/s00277-025-06454-3