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在前列腺癌中代谢相关的分子模式的表征
Bowei Yang1, Yongming Jiang1, Jun Yang1
1Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
BMC urology
|June 6, 2023
概括
这项研究将前列腺癌分为两种与代谢相关的分子亚型,确定10个基因签名,用于预测无病生存和指导治疗策略.
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:
- 癌症代谢对于瘤的进展和治疗耐药性至关重要.
- 了解新陈代谢模式可以揭示前列腺癌的新治疗点.
研究的目的:
- 在前列腺癌中根据与代谢相关的基因分类分子亚型.
- 研究这些亚型的临床,分子和瘤微环境特征.
- 开发一种预后签名,用于预测前列腺癌患者的无疾病生存率.
主要方法:
- 利用来自TCGA,cBioPortal和GEO数据库的与代谢相关的基因 (MAG) 的无监督非负矩阵因子化 (NMF) 聚类.
- 分析了亚群之间的无病生存 (DFS),临床病理特征,途径,瘤微环境 (TME),免疫细胞透和治疗反应的差异.
- 使用LASSO考克斯回归分析构建了一个预后签名,用于DFS预测.
主要成果:
- 在489名前列腺癌患者中确定了两个不同的与代谢相关的分子子集群.
- 这些子集群在临床特征 (年龄,T/N阶段,格里森得分) 和DFS方面显示出显著差异.
- 开发了一个10-MAG签名,创建了一个风险模型,可以在数据集中准确预测DFS,AUC值高达0.809. 高风险分数与较差的DFS相关.
- 风险评分和格里森评分是DFS的独立预后因素.
结论:
- 在前列腺癌中确定了两个不同的与代谢相关的分子子集群.
- 为前列腺癌的预后预测,开发了一种新的与代谢相关的风险概况.
- 这些发现提供了对代谢异质性和前列腺癌潜在治疗策略的见解.
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