恶性肿瘤
免疫系统
生物
基因敲除
基因
多发性骨髓瘤
临床意义
疾病
血液恶性肿瘤
基因签名
表型
危险分层
基因表达谱
计算生物学
癌症研究
免疫学
肿瘤微环境
生物信息学
细胞周期
候选基因
生存分析
医学
肿瘤科
生物途径
基因表达
免疫疗法
机制(生物学)
作者
Yuxiu Xu,Xiaoli Sun,Jing Yang,Dongsheng Ma,Jiangwei Wan,Tingting Lei,Tao Wang
摘要
BACKGROUND: Multiple myeloma (MM) remains an incurable hematological malignancy with heterogeneous outcomes, necessitating the identification of novel prognostic markers for improved patient stratification and treatment. METHODS: This study investigated the prognostic significance of disulfidptosis-related genes (DRGs) in MM, analyzing 1,272 samples from TCGA_MMRF and GSE4581 datasets. To explore the biological functions of key DRGs, si-RNA was used to conduct in vitro experimental verification. RESULTS: Through comprehensive bioinformatic analyses, we identified four genes (FLNA, GYS1, LRPPRC, and MYH10) significantly associated with MM prognosis. These DRGs linked the signature to disulfidptosis biology in MM. A novel four-gene signature effectively stratified patients into high-risk and low-risk groups with distinct survival outcomes, remained an independent prognostic factor, and varied significantly across disease stages. High-risk scores were associated with pathways involving mRNA processing, DNA replication, and cell cycle progression, as well as immune shifts in neutrophil and plasma-cell fractions. Drug-sensitivity modeling showed distinct IC50 patterns between risk groups, with LRPPRC and GYS1 negatively correlated with sensitivity to selected agents. In vitro, LRPPRC knockdown in RPMI 8226 and U266 reduced viability and colony formation while increasing apoptosis, supporting the biological relevance of the signature. CONCLUSION: This novel DRGs signature not only provides a valuable tool for patient stratification but also offers insights into the biological processes driving MM progression and potential therapeutic targets.
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