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开发一种与瘤微环境相关的新型放射基因组学模型,用于预测肝细胞癌的预后

Yaqi Wang¹, Bin Gao¹, Chunhua Xia¹

¹Department of Radiology, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), Hefei, China.

Quantitative imaging in medicine and surgery

|September 15, 2023

概括

这项研究使用成像和遗传数据开发了一种针对肝细胞癌 (HCC) 的新型放射基因组学模型. 该模型准确预测患者的生存率,并评估瘤微环境 (TME).

科学领域:

在瘤学瘤学.
放射学放射学是一门学科.
基因组学就是基因组学.
计算生物学计算生物学

背景情况:

瘤微环境 (TME) 显著影响肝细胞癌 (HCC) 的发展和进展.
放射基因组学,整合成像和遗传数据,为HCC诊断,预后和治疗反应提供非侵入性生物标志物.
在HCC中缺乏放射遗传学评估的既定方法,需要开发新的模型.

研究的目的:

开发一个放射基因组学模型,将对比增强计算机断层扫描 (CECT) 放射组学特征与转录组学数据联系起来.
评估TME并提高HCC患者整体存活期 (OS) 的预测准确度.
建立一个强大的HCC预后模型,利用综合成像和遗传信息.

主要方法:

分析了来自365名HCC患者 (TCGA-HCC队列) 的转录组资料,以确定与TME相关的基因.
53名HCC患者 (TCIA-HCC队列) 的TME相关放射性特征与基因表达数据相关.
基于放射遗传学得分的预后模型是使用LASSO Cox回归分析构建的.

主要成果:

一个放射基因组学模型被开发出来,其中包含一个放射基因学特征和三个基因 (SPOCD1,KLRB1,GPR182).
该模型在训练和测试组中都表现出强大的预测性能,AUC高达0.87.
较高的放射基因组学分数与较差的整体存活率 (OS) 和减少的免疫细胞透率相关.

结论:

一个基于CECT的新型放射基因组学模型为HCC患者的预后分层提供了宝贵的见解.
该模型有助于评估瘤微环境 (TME),为HCC管理提供一种非侵入性方法.
这种综合方法提高了肝细胞癌总生存期 (OS) 的预测精度.

关键词:

肝细胞癌 (HCC) 是一种肝细胞癌.计算机断层扫描 (CT) 是一种计算机断层扫描.预后预后预后辐射基因组学辐射基因组学瘤微环境 (TME) 是指瘤的微环境.

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