Integrated bioinformatics analysis to develop diagnostic models for malignant transformation of chronic proliferative diseases.

ABSTRACT: The combined analysis of dual diseases can provide new insights into pathogenic mechanisms, identify novel biomarkers, and develop targeted therapeutic strategies. Polycythemia vera (PV) is a chronic myeloproliferative neoplasm associated with a risk of acute myeloid leukemia (AML) transformation. However, the chronic nature of disease transformation complicates longitudinal high-throughput sequencing studies of patients with PV before and after AML transformation. This study aimed to develop a diagnostic model for malignant transformation of chronic proliferative diseases, addressing the challenges of early detection and intervention. Integrated public datasets of PV and AML were analyzed to identify differentially expressed genes (DEGs) and construct a weighted correlation network. Machi

SUBMITTER: Liu H 

PROVIDER: S-EPMC11977743 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature