{
  "abstract": "Hepatocellular carcinoma (HCC) management is challenging due to its complex tumor microenvironment and poor treatment responses. Here, using tumor specimens from a prospective clinical trial of combined transarterial chemoembolization (TACE) with immune checkpoint blockade (ICB), we perform exhaustive multi-omics analysis including spatial proteomics and transcriptomics, single-cell RNA sequencing, and bulk transcriptomics. These analyses reveal that treatment response is associated with enrichment of anti-tumor T cell regions that are regulated by cGAS-STING activation within immune-suppressive epithelial cells. Conversely, fibrotic processes impede these pro-response processes. Based on these insights, we test triple combination therapy consisting of cGAS activation, immune checkpoint blockade, and anti-fibrosis strategies, which shows improved efficacy over dual therapy. To identify patients who would benefit, we construct a predictive model using a group sparse learning algorithm. Our findings provide a blueprint for crafting personalized HCC therapies using next-generation biomarkers.",
  "abstract_shown": true,
  "affiliations": [
    "College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing 210000, China",
    "Chinese Institutes for Medical Research, Beijing 100069, China",
    "Shapingba Hospital affiliated to Chongqing University (Shapingba District People’s Hospital of Chongqing), Chongqing 400016, China",
    "Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China",
    "Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China",
    "Zhejiang University Cancer Center, Zhejiang University, Hangzhou 310002, China",
    "Department of medical oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital&Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China",
    "Infinity Scope Inc., Zhejiang 311200, China"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 15,
  "authors": [
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Jianpeng Sheng"
    },
    {
      "affs": [
        3,
        4,
        5
      ],
      "name": "Jinyuan Song"
    },
    {
      "affs": [
        0
      ],
      "name": "Lin Wang"
    },
    {
      "affs": [
        3,
        4,
        5
      ],
      "name": "Junlei Zhang"
    },
    {
      "affs": [
        6
      ],
      "name": "Wei Zhang"
    },
    {
      "affs": [
        0
      ],
      "name": "Hang Shi"
    },
    {
      "affs": [
        7
      ],
      "name": "Yaxing Zhao"
    },
    {
      "affs": [
        4,
        5
      ],
      "name": "Chengxiang Guo"
    },
    {
      "affs": [
        3,
        4,
        5
      ],
      "name": "Jianghui Tang"
    },
    {
      "affs": [
        3,
        4,
        5
      ],
      "name": "Yongtao Ji"
    },
    {
      "affs": [
        7
      ],
      "name": "Taohong Li"
    },
    {
      "affs": [
        0
      ],
      "name": "Wei Shao"
    },
    {
      "affs": [
        3,
        4,
        5
      ],
      "name": "Xueli Bai"
    },
    {
      "affs": [
        2
      ],
      "name": "Qing Li"
    },
    {
      "affs": [
        3,
        4,
        5
      ],
      "name": "Tingbo Liang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/49srqj536rd8n.bib",
  "cited_by": 0,
  "doi": "10.1016/j.xcrm.2026.103085",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13710554/",
  "id": "49srqj536rd8n",
  "issns": [
    "2666-3791"
  ],
  "landing_url": "https://doi.org/10.1016/j.xcrm.2026.103085",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Article"
    ],
    [
      "openalex",
      "2721|Hepatocellular Carcinoma Treatment and Prognosis"
    ]
  ],
  "openalex": "W7215810008",
  "pdf_url": null,
  "pmcid": "PMC13710554",
  "pmid": "42826719",
  "published": "2026-10-02",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/49srqj536rd8n.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:21:30Z",
      "native_id": "PMC13710554",
      "source": "pmc",
      "url": "https://doi.org/10.1016/j.xcrm.2026.103085"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2721|Hepatocellular Carcinoma Treatment and Prognosis",
      "subfield": "general"
    }
  ],
  "title": "Multi-omics-driven personalized management of advanced HCC",
  "title_text": "Multi-omics-driven personalized management of advanced HCC",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T12:21:30Z",
  "url": "https://research.draconitic.com/paper/49srqj536rd8n",
  "venue": "Cell Reports Medicine",
  "versions": []
}