昼夜节律相关基因在乳腺癌中的预后价值
Ling Wang1, Xiang Gao1, Ximeng Zuo1
1Department of Breast Surgery, Dongzhimen Hospital, Beijing University of Chinese Medicine, Haiyuncang 5th, Dongcheng District, Beijing, 100700, China.
World journal of surgical oncology
|May 14, 2025
概括
这项研究开发了一种使用17个昼夜节律相关基因 (CRG) 预测乳腺癌 (BC) 结果的预后模型. 该模型显示了BC患者个性化治疗策略的潜力.
科学领域:
- 在瘤学瘤学.
- 遗传学 遗传学 是一个
- 生物信息学是一种生物信息学.
背景情况:
- 乳腺癌 (BC) 是女性的主要恶性瘤.
- 循环节律基因 (CRG) 和治疗时间影响BC治疗反应和毒性.
- 识别预后生物标志物对于个性化BC治疗至关重要.
研究的目的:
- 通过生物信息学和机器学习来确定关键的CRG.
- 构建一个预后模型来预测BC的临床结果.
- 评估模型的性能及其与瘤免疫微环境的相关性.
主要方法:
- 来自BC的癌症基因组图谱 (TCGA) 的转录组数据.
- 单变Cox回归和LASSO回归用于CRG选择和模型开发.
- 评估模型性能,免疫微环境,免疫疗法疗效和瘤突变负担.
主要成果:
- 成功开发了一个包含17个CRG的预后风险评分模型.
- 该模型显示了可接受的整体生存预测性能 (AUC>0.6在多个时间点).
- 风险组之间观察到免疫微环境,免疫疗法疗效和瘤突变负担的显著差异.
结论:
- 开发的基于CRG的模型有效预测BC的预后.
- 这种模型有可能为乳腺癌的个性化治疗策略提供信息.
- 进一步验证可以提高其临床实用性,以改善患者的治疗结果.
关键词:
生物信息学分析乳腺癌是什么? 乳腺癌是什么免疫微环境是一个微环境.预测 预后 预测 预测TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB TMB更多相关视频
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