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Determination of Cuproptosis-related Subtypes, Development of a Prognostic Model, and Characterization of Tumor Microenvironment Infiltration in Acute Myeloid Leukemia.
- Source :
-
Anticancer research [Anticancer Res] 2023 Sep; Vol. 43 (9), pp. 3943-3960. - Publication Year :
- 2023
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Abstract
- Background/aim: Acute myeloid leukemia (AML) is a severe malignancy of the bone marrow marked by an abnormal accumulation of bone marrow precursors. Cuproptosis is a recently identified type of copper-dependent regulatory cell apoptosis that relies on mitochondrial respiration. However, its participation in the development of AML remains unclear. This study analyzed the association between cuproptosis-related genes and the prognosis of AML patients.<br />Materials and Methods: Cases of AML were acquired from TCGA, GEO, and TARGET and the molecular subgroups characterized by genes associated with cuproptosis, besides the associated cell infiltration of the tumor microenvironment (TME) were investigated. The cuproptosis score was developed using the minor absolute shrinkage and selection operator (LASSO) tool to evaluate the cuproptosis features of a single tumor sample.<br />Results: Two distinct molecular subgroups related to cuproptosis were discovered in AML with different prognoses. The cellular infiltration assay of TME showed immunological heterogeneity between the two subtypes. The cuproptosis score predicted tumor subgroups, immunity, and prognosis. A small cuproptosis value was marked by a good prognosis, whereas the anti-PD-1/PD-L1 immunotherapy group suggested the same cuproptosis group was related to an elevated immunotherapy potency.<br />Conclusion: The cuproptosis score is a biomarker important for determining the molecular subgroups, prognosis, TME cell infiltration features, and immunotherapeutic efficacy of individuals with leukemia.<br /> (Copyright © 2023 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1791-7530
- Volume :
- 43
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Anticancer research
- Publication Type :
- Academic Journal
- Accession number :
- 37648328
- Full Text :
- https://doi.org/10.21873/anticanres.16582