一个宏观-微观-宏观的放射遗传学框架确定FIBCD1作为乳腺癌中一个关键的免疫调节生物标志物
Minping Hong1, Xiaobo Chen2,3,4, Xiaowen Huang1
1Department of Radiology, Jiaxing Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, Jiaxing, China.
Journal of translational medicine
|November 26, 2025
概括
这项研究引入了一种新的放射基因组模型,将MRI成像与基因数据相结合,以预测乳腺癌的预后. 基因FIBCD1显示出作为一种非侵入性风险评估的免疫相关生物标志物的潜力.
科学领域:
- 在瘤学瘤学.
- 无线电学 (Radiomics) 是一种无线电学.
- 基因组学就是基因组学.
背景情况:
- 由于瘤异质性和当前临床模型的局限性,乳腺癌的预后具有挑战性.
- 整合成像和分子数据为改善风险分层和个性化治疗决策提供了潜力.
研究的目的:
- 开发一个闭环预后模型,将基于MRI的放射学与乳腺癌的转录和蛋白质数据结合起来.
- 识别新的预后生物标志物,并了解它们与成像表型和免疫特征的关联.
主要方法:
- 采用了宏观微观宏观放射基因组框架,整合了788个放射学引导的基因.
- 机器学习算法识别了预后基因签名,在TCGA和GEO队列中得到验证.
- 门德尔随机化评估了因果关系,中心基因表达在血中得到了验证.
主要成果:
- 一个集成10个共识基因的XGBoost-Cox模型在GEO验证队列中实现了0.703的一致性指数.
- 高风险患者表现出免疫激活减少和较差的生存率.
- 确定FIBCD1是一种与生存因果相关的枢纽基因,在高风险血中升高,与炎症蛋白和MRI特征相关.
结论:
- 建立了一个新的放射基因组策略,将MRI表型与分子机制联系起来.
- FIBCD1成为一种潜在的免疫调节预后生物标志物,与成像特征相关.
- 这种方法为非侵入性乳腺癌风险评估和治疗向提供了新的见解.
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