无线电技术
可解释性
组学
肝细胞癌
医学
病态的
计算生物学
表型
癌症
生物信息学
肿瘤科
癌症研究
病理
内科学
生物
计算机科学
机器学习
放射科
基因
生物化学
作者
Yong-Gang Xie,Fang Wang,Jingwei Wei,Zi-Fang Shen,Song Xue,Yali Wang,Hongjun Chen,Liye Tao,Junhao Zheng,Lanfen Lin,Ziwei Niu,Xiaojun Guan,Tianhan Zhou,Zhengao Xu,Liu Yang,Danwei Du,Haoyu Pan,Shihao Li,Wenbin Ji,Wei Zhou
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-05-02
卷期号:11 (18)
标识
DOI:10.1126/sciadv.ads8323
摘要
Intratumoral heterogeneity (ITH) is a critical factor associated with treatment failure and disease relapse in hepatocellular carcinoma (HCC). However, decoding ITH in a noninvasive and comprehensive manner remains a notable challenge. In this study involving 851 patients from five centers, we developed a noninvasive prognostic classification for ITH using radiomics based on multisequence MRI, termed radiomics ITH (RITH) phenotypes. The RITH phenotypes highly correlated with prognosis and pathological ITH. In addition, through an integrated multi-omics analysis, we uncovered the molecular mechanisms underlying RITH, notably enhancing its biological interpretability. Specifically, high-RITH tumors demonstrated an enrichment of cancer-associated fibroblasts and activation of extracellular matrix remodeling. Our approach facilitates the noninvasive refined classification of ITH using radiomics and multi-omics, paving the way for tailored treatment strategies in HCC. Extracellular matrix-receptor interaction could be a potential therapeutic target in patients with high-RITH tumors. Given the routine use of radiologic imaging in oncology, our methodology ignites versatile framework for broader application to other solid tumors.
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