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Translating multi-omics complexity into sparse prognostic biomarkers for multiple myeloma

2026-08-21

Abstract excerpt

Multiple myeloma (MM) exhibits profound molecular heterogeneity, yet current risk stratification relies on cytogenetics or single-omics signatures that often fail to capture cross-layer regulatory complexity. We re-analyzed a multi-omics dataset integrating copy-number, transcriptomic, proteomic, and phosphoproteomic data to dissect how common genomic driver alterations propagate through the molecular cascade. Sup...

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Literature Corpus work
da73a223-03fb-50ce-8843-f48e37d45c3e
DOI
10.64898/2026.08.21.746155
Open publication

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Translating multi-omics complexity into sparse prognostic biomarkers for multiple myelomaDOI 10.64898/2026.08.21.746155
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