Machine Learning Applicability for Classification of PAD/VCD Chemotherapy Response Using 53 Multiple Myeloma RNA Sequencing Profiles

Machine Learning Applicability for Classification of PAD/VCD Chemotherapy Response Using 53 Multiple Myeloma RNA Sequencing Profiles

Multiple myeloma (MM) affects ~500,000 people and results in ~100,000 deaths annually, being currently considered treatable but incurable. There are several MM chemotherapy treatment regimens, among which eleven include bortezomib, a proteasome-targeted drug. MM patients respond differently to borte...

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Bibliographic Details
Main Authors: Nicolas Borisov, Anna Sergeeva, Maria Suntsova, Mikhail Raevskiy, Nurshat Gaifullin, Larisa Mendeleeva, Alexander Gudkov, Maria Nareiko, Andrew Garazha, Victor Tkachev, Xinmin Li, Maxim Sorokin, Vadim Surin, Anton Buzdin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Oncology
Subjects:
multiple myeloma
bortezomib
gene expression
machine learning
treatment response
fibroblast growth factor receptor 3
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.652063/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.652063/full

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