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骨髓瘤的预后模型:RNA诊断,瘤微环境和免疫治疗反应

Ding-Chao Rong¹, Xu Rong², Yuan-Shen Chen³

¹Department of Orthopedics, The First Affiliated Hospital of Shaoyang University, Shaoyang, Hunan, 422000, People's Republic of China.

Journal of orthopaedics

|December 4, 2025

概括

我们开发了两种骨髓瘤的预后模型,一个是使用5个小核RNA (snoRNA),另一个是整合snoRNA,lncRNA和mRNA. 这些模型可以预测患者的治疗结果和对simvastatin等疗法的反应.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

骨髓瘤是一种具有不良预后的侵袭性癌症,需要准确的预后模型.
小核RNAs (snoRNAs) 是稳定的分子,具有作为癌症生物标志物的潜力.

研究的目的:

建立可靠的骨髓瘤预后模型.
识别与瘤免疫微环境相关的生物标志物.
为了预测骨髓瘤患者的药物敏感性.

主要方法:

从TCGA,GTEx和GEO数据库下载并分析基因表达和临床数据.
进行了生存分析,差异基因表达,功能丰富和免疫细胞透分析.
构建基于snoRNA和基于集成RNA网络的预后模型,验证的药物敏感性和基因表达in vitro.

主要成果:

一个5-snoRNA预后模型 (SNORA2B,SNORA12,SNORD99,SNORD123,SNORD11B) 证明了预后的准确性.
一个与免疫微环境相关的集成RNA模型 (PARD6G-AS1,DLX2,TPD52,GRAMD1B).
两种模型都显示出一致的药物敏感性预测;骨髓瘤细胞对simvastatinin vitro敏感.

结论:

独立的snoRNAs作为骨髓瘤的预后生物标志物.
综合RNA模型为免疫微环境和免疫功能提供了洞察力.
这项研究为骨髓瘤提供了有价值的预后和免疫相关生物标志物,有助于治疗策略.

关键词:

药物敏感性药物敏感性免疫微环境是一个微环境.骨质肉瘤骨质肉瘤是什么预测模型是一个预测模型.这就是SnoRNA.

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