A prognostic model for multiple myeloma based on lipid metabolism related genes.

LRGs serve as promising biomarkers for prognosis prediction and risk stratification in MM. The overexpression of chromosomal instability-related and high-risk genetic event-associated genes in high-risk patients may explain their poorer outcomes. Given the observed resistance to bortezomib and lenalidomide in high-risk patients, combination therapies involving BMS-754807 or I-BET-762 may represent effective alternatives.

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Publication Details

Journal
PubMed
Published
2025-04-28
DOI
https://doi.org/10.11817/j.issn.1672-7347.2025.240592
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
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article

A prognostic model for multiple myeloma based on lipid metabolism related genes.

Zhengjiang Li, Wen Zhou, Fangming Shi, Liang Zhao et al.
PubMed
Cancer, Lipids, and Metabolism
article

A prognostic model for multiple myeloma based on lipid metabolism related genes.

Zhengjiang Li, Wen Zhou, Fangming Shi, Liang Zhao, Jiaojiao Guo
article en

Abstract

LRGs serve as promising biomarkers for prognosis prediction and risk stratification in MM. The overexpression of chromosomal instability-related and high-risk genetic event-associated genes in high-risk patients may explain their poorer outcomes. Given the observed resistance to bortezomib and lenalidomide in high-risk patients, combination therapies involving BMS-754807 or I-BET-762 may represent effective alternatives.

PubMedVol. 50(4)
Central South University (CN), Xiangya Hospital Central South University (CN)
Openalex Percentile: Top 74%
Cancer, Lipids, and Metabolism
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