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

ABSTRACT:

Background

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.

Results

In this study, we present the current state-of-the-art model for MM prognosis and the molecular biomarker set for stratification: the winning algorithm in the 2017 Multiple Myeloma DREAM Challenge, Sub-Challenge 3. Specifically, we built a non-parametric complete hazard ranking model to map the right-censored data into a linear space, where commonplace machine learning techniques, such as Gaussian process regression and

SUBMITTER: Sun C 

PROVIDER: S-EPMC6936209 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature