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Noninvasive prognostic classification of ITH in HCC with multi-omics insights and therapeutic implications

  • Yangyang Xie
  • , Fang Wang
  • , Jingwei Wei
  • , Zefeng Shen
  • , Xue Song
  • , Yali Wang
  • , Hongjun Chen
  • , Liye Tao
  • , Junhao Zheng
  • , Lanfen Lin
  • , Ziwei Niu
  • , Xiaojun Guan
  • , Tianhan Zhou
  • , Zhengao Xu
  • , Yang Liu
  • , Danwei Du
  • , Haoyu Pan
  • , Shihao Li
  • , Wenbin Ji
  • , Wei Zhou
  • Yunjun Yang, Jie Tian*, Junjie Xu*, Hongjie Hu*, Xiao Liang*
*Corresponding author for this work
  • Zhejiang University
  • Zhejiang Research and Development Engineering Laboratory of Minimally Invasive Technology and Equipment
  • Huazhong University of Science and Technology
  • Hubei Provincial clinical Research center for Precision Radiology & interventional Medicine
  • Hubei Key laboratory of Molecular imaging
  • CAS - Institute of Automation
  • Beijing Key Laboratory of Molecular Imaging
  • Zhejiang Chinese Medical University
  • Wenzhou Medical University
  • Xidian University
  • Shaoxing University
  • Hangzhou Medical College

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article numbereads8323
JournalScience Advances
Volume11
Issue number18
DOIs
StatePublished - 2 May 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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