Publication
Machine Learning-Derived Immune Gene Signature Predicts Prognosis and Therapeutic Vulnerabilities in Multiple Myeloma.
Kai Wang, Chenfei Zhao, Jingru Shi, Shiwei Liu, Yi Chen, Jujuan Wang, Zhengxu Sun, Sanmei Wang, Lei Fan, Jin Fan, Xiaoyan Qu
Cancer scienceSep 6, 2026PMID 42702361doi:10.1111/cas.70523 Journal ArticlepubmedProvenance
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- PubMed
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- Sep 8, 2026
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- normalized (units and labels harmonized; values unchanged)
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- ING-PUBMED-20260908-000002
Abstract
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The immune microenvironment contributes substantially to the biological and clinical heterogeneity of multiple myeloma (MM), yet immune-related molecular biomarkers with reproducible prognostic value remain limited. Here, we developed a 12-gene immune-related gene signature (IRGS) using an…
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- cancerMultiple Myelomadictionary0.60
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