Identifying high-risk multiple myeloma patients: A novel approach using a clonal gene signature.

ABSTRACT: Multiple myeloma (MM) is a heterogeneous disease with a small subset of high-risk patients having poor prognoses. Identifying these patients is crucial for treatment management and strategic decisions. In this study, we developed a novel computational framework to define prognostic gene signatures by selecting genes with expression driven by clonal copy number alterations. We applied this framework to MM and developed a clonal gene signature (CGS) consisting of 22 genes and evaluated in five independent datasets. The CGS provided significant prognostic values after adjusting for well-established factors including cytogenetic abnormalities, International Staging System (ISS), and Revised ISS (R-ISS). Importantly, CGS demonstrated higher performance in identifying high-risk patients compared

SUBMITTER: Li JR 

PROVIDER: S-EPMC11537842 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature