Comprehensive genomic characterization of programmed cell death-related genes to predict drug resistance and prognosis for patients with multiple myeloma

A 12-gene Risk score model developed with PCD-related genes can accurately predict the survival for MM patients. Our study provided potential targets and strategies for individualized treatment of MM.

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Publication Details

Journal
Aging
Published
2025-04-01
DOI
https://doi.org/10.18632/aging.206234
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Comprehensive genomic characterization of programmed cell death-related genes to predict drug resistance and prognosis for patients with multiple myeloma

Zhenwei Jia, Hongbo Zhao, Xiaoyang Kong, Gui-Rong Cui et al.
Aging
Multiple Myeloma Research and Treatments
article

Comprehensive genomic characterization of programmed cell death-related genes to predict drug resistance and prognosis for patients with multiple myeloma

Zhenwei Jia, Hongbo Zhao, Xiaoyang Kong, Gui-Rong Cui, Xiaoyan Liu, Fuxu Wang, Yan Li, Tiejun Qin
article en

Abstract

A 12-gene Risk score model developed with PCD-related genes can accurately predict the survival for MM patients. Our study provided potential targets and strategies for individualized treatment of MM.

AgingVol. 17(4)
Hebei Medical University (CN), Handan College (CN), Second Hospital of Hebei Medical University (CN), Institute of Hematology & Blood Diseases Hospital (CN)
Good health and well-being
Openalex Percentile: Top 91%
Multiple Myeloma Research and Treatments
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