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ABSTRACT: Object
Aim to investigate the multi-omic characteristics of the bone marrow supernatant of relapsed acute myeloid leukemia (AML) and search for proteins and metabolites associated with relapse.Methods
A total of 40 bone marrow supernatant from 7 patients with relapsed AML and 33 patients with non-relapsed AML were collected for proteomics and metabonomics analysis. Unsupervised clustering was used to discover the characteristics of proteins and metabolites. The prognostic significances of proteins were assessed concerning the relapse status(including death) and relapse-free survival.Result
Totally 996 proteins and 4,831 metabolites were identified in bone marrow supernatant, and two of 7 clusters were revealed through unsupervised clustering and were associated with
SUBMITTER: Ji X
PROVIDER: S-EPMC11657831 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature