{
  "abstract": "Genomic or transcriptomic sequencing guides the precision of cervical cancer (CC) diagnosis; however, the molecular profile of Asian patients remains poorly understood. We established a comprehensive multi-omics cohort comprising 112 tumor-normal adjacent tissue pairs from Chinese CC patients. Our integrated analysis revealed a mutational burden comparable to other populations, with three major mutational signatures primarily attributed to APOBEC-associated, age-associated, and DNA repair-associated biological categories. Multi-omics profiling elucidated the functional consequences of somatic mutations and copy number variations, identifying PIK3CA, EP300, and MPRIP as key driver events. We further uncovered both concordant and discordant activation patterns across cancer-related signaling pathways. Transcriptomic and proteomic analyses nominated cell cycle regulation, epithelial-mesenchymal transition, and LAMC2 as promising diagnostic and therapeutic targets. Comprehensive immune characterization enabled stratification of patients into three major immune phenotypes with varying microenvironmental profiles. This study provides valuable resources and novel insights into the molecular architecture of cervical cancer in the Chinese population, identifying potential biomarkers to guide precision detection and immunotherapy strategies.\n\nWhile cervical cancer is a major cause of cancer mortality in women, the molecular basis of disease heterogeneity in Asian populations remains unclear. This study identifies key molecular pathways and biomarkers from multi-omics profiles of 112 Chinese patient samples to guide therapeutic strategies.",
  "abstract_shown": true,
  "affiliations": [
    "Key Laboratory of Reproductive Health Diseases Research and Translation of Ministry of Education & Key Laboratory for Human Reproductive Medicine and Genetic Research of Hainan Province, The First Affiliated Hospital of Hainan Medical University, School of Intelligent Medicine And Technology (Big Data Research Center), Hainan Medical University, Haikou, China",
    "Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China",
    "Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and Metastasis, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China",
    "School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, China",
    "Department of Gynecology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China",
    "Department of Gynecology, First Affiliated Hospital, Shihezi University, Shihezi, China"
  ],
  "article_type": "Methods and Resources",
  "arxiv": null,
  "author_total": 12,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Tao Pan"
    },
    {
      "affs": [
        1
      ],
      "name": "Xucui Zhuang"
    },
    {
      "affs": [
        2
      ],
      "name": "Ya Zhang"
    },
    {
      "affs": [
        3
      ],
      "name": "Jiyu Guo"
    },
    {
      "affs": [
        4
      ],
      "name": "Si Li"
    },
    {
      "affs": [
        5
      ],
      "name": "Can Zhang"
    },
    {
      "name": "Lili Han"
    },
    {
      "name": "Fuxia Li"
    },
    {
      "name": "Yueying Gao"
    },
    {
      "name": "Jinyang Yu"
    },
    {
      "name": "Yongsheng Li"
    },
    {
      "name": "Chaoyang Sun"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7nk0rff2a5yg9.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pbio.3004029",
  "fulltext_url": "https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3004029",
  "id": "7nk0rff2a5yg9",
  "issns": [
    "1545-7885"
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  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2713|Cervical Cancer and HPV Research"
    ],
    [
      "plos",
      "/Biology and life sciences/Biochemistry/Proteomics/Protein abundance"
    ],
    [
      "plos",
      "/Biology and life sciences/Biochemistry/Proteomics/Proteomic databases"
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    [
      "plos",
      "/Biology and life sciences/Computational biology/Genome analysis/Transcriptome analysis"
    ],
    [
      "plos",
      "/Biology and life sciences/Genetics/Genomics/Genome analysis/Transcriptome analysis"
    ],
    [
      "plos",
      "/Biology and life sciences/Genetics/Genomics/Genomic medicine/Cancer genomics"
    ],
    [
      "plos",
      "/Biology and life sciences/Microbiology/Medical microbiology/Microbial pathogens/Viral pathogens/Papillomaviruses/Human papillomavirus"
    ],
    [
      "plos",
      "/Biology and life sciences/Organisms/Viruses/DNA viruses/Papillomaviruses/Human papillomavirus"
    ],
    [
      "plos",
      "/Biology and life sciences/Organisms/Viruses/Viral pathogens/Papillomaviruses/Human papillomavirus"
    ],
    [
      "plos",
      "/Medicine and health sciences/Oncology/Basic cancer research/Cancer genomics"
    ],
    [
      "plos",
      "/Medicine and health sciences/Oncology/Cancers and neoplasms"
    ],
    [
      "plos",
      "/Medicine and health sciences/Oncology/Cancers and neoplasms/Gynecological tumors/Cervical cancer"
    ],
    [
      "plos",
      "/Medicine and health sciences/Oncology/Cancers and neoplasms/Malignant tumors"
    ],
    [
      "plos",
      "/Medicine and health sciences/Pathology and laboratory medicine/Pathogens/Microbial pathogens/Viral pathogens/Papillomaviruses/Human papillomavirus"
    ],
    [
      "plos",
      "/Research and analysis methods/Database and informatics methods/Biological databases/Proteomic databases"
    ]
  ],
  "openalex": "W7212959432",
  "pdf_url": "https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3004029&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-05",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/7nk0rff2a5yg9.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:37Z",
      "native_id": "10.1371/journal.pbio.3004029",
      "source": "plos",
      "url": "https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3004029"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "plos:proteomics",
      "subfield": "proteomics-metabolomics"
    },
    {
      "field": "biology",
      "origin": "plos:genomics",
      "subfield": "genetics-genomics"
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    {
      "field": "medicine",
      "origin": "plos:oncology",
      "subfield": "oncology"
    }
  ],
  "title": "Integrated multi-omics analysis reveals the molecular landscape and therapeutic strategies in Chinese cervical cancer patients",
  "title_text": "Integrated multi-omics analysis reveals the molecular landscape and therapeutic strategies in Chinese cervical cancer patients",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:37Z",
  "url": "https://research.draconitic.com/paper/7nk0rff2a5yg9",
  "venue": "PLOS Biology",
  "versions": []
}