Prognostic model for multiple myeloma progression integrating gene expression and clinical features | Zendy

Chen Sun | Zendy; Hongyang Li | Zendy; Ryan E. Mills | Zendy; Yuanfang Guan | Zendy

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Prognostic model for multiple myeloma progression integrating gene expression and clinical features

Author(s) -

Chen Sun,

Hongyang Li,

Ryan E. Mills,

Yuanfang Guan

Publication year - 2019

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giz153

Subject(s) - proportional hazards model , multiple myeloma , progression free survival , monoclonal gammopathy of undetermined significance , biomarker , computer science , hazard ratio , tumor progression , medicine , survival analysis , computational biology , machine learning , artificial intelligence , cancer , bioinformatics , oncology , biology , overall survival , immunology , genetics , monoclonal , confidence interval , antibody , monoclonal antibody

Multiple myeloma (MM) is a hematological cancer caused by abnormal accumulation of monoclonal plasma cells in bone marrow. With the increase in treatment options, risk-adapted therapy is becoming more and more important. Survival analysis is commonly applied to study progression or other events of interest and stratify the risk of patients.

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