55个遗传预测的代谢特征的门德尔随机分析与乳腺癌存活结果在研究途径的研究
Peter N Fiorica1,2, Haiyang Sheng2, Qianqian Zhu3
1Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Cancer research communications
|June 28, 2023
概括
心血管疾病和高血压的多基因分数 (PGS) 与乳腺癌存活率较差有关. 相反,PGS对囊素C水平的测试显示了与改善生存率的关联,这表明代谢特征影响乳腺癌的预后.
科学领域:
- 遗传学 是一个遗传学.
- 流行病学 流行病学
- 在瘤学瘤学.
背景情况:
- 代谢综合征与乳腺癌预后的关联也在争论中.
- 全基因组关联研究 (GWAS) 能够为孟德尔随机化研究提供多基因分数 (PGS).
- 门德尔的随机化是一个强大的方法来推断因果关系.
研究的目的:
- 调查55种代谢特征和7种乳腺癌生存结果的多基因分数 (PGS) 之间的关联.
- 利用门德尔的随机化来评估代谢特征对乳腺癌预后的影响.
主要方法:
- 利用了3,902名患者的Pathways研究队列,平均随访时间为10.5年.
- 使用孟德尔随机化方法计算了55种代谢特征的PGS.
- 采用多变量Cox比例危险模型来分析与生存结果的关联.
主要成果:
- 心血管疾病的更高PGS与较短的整体存活率 (HR=1.34) 和第二次原发性无癌存活率 (HR=1.31) 相关.
- 高血压的PGS与总生存率降低 (HR=1.20),第二次原发性癌症无生存率 (HR=1.24),侵入性无疾病生存率 (HR=1.18) 和无疾病生存率 (HR=1.21) 相关.
- 血清囊素C水平的更高PGS与更长的无疾病生存时间 (HR=0.82),无乳腺事件生存时间 (HR=0.74) 和乳腺癌特异性生存时间 (HR=0.72) 相关.
结论:
- 针对心血管疾病,高血压和cystatin C水平的多基因评分显示出与乳腺癌生存结果的显著关联.
- 代谢特征在乳腺癌预后中扮演着被低估的角色.
- 需要进一步的研究来探索这些代谢特征关联的含义.
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