{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T21:03:12Z","timestamp":1793826192715,"version":"4.6.1"},"reference-count":59,"publisher":"American Association for the Advancement of Science (AAAS)","issue":"18","content-domain":{"domain":["www.science.org"],"crossmark-restriction":true},"short-container-title":["Sci. Adv."],"published-print":{"date-parts":[[2025,5,2]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.1126\/sciadv.ads8323","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T17:58:36Z","timestamp":1746208716000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":31,"title":["Noninvasive prognostic classification of ITH in HCC with multi-omics insights and therapeutic implications"],"prefix":"10.1126","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6842-2625","authenticated-orcid":true,"given":"Yangyang","family":"Xie","sequence":"first","affiliation":[{"name":"Zhejiang Key Laboratory of Multi-omics Precision Diagnosis and Treatment of Liver Diseases, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, 310016 Hangzhou, China."},{"name":"Zhejiang Minimal Invasive 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