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Integrated proteogenomic and metabolomic characterization of papillary thyroid cancer with different recurrence risks

Author

Listed:
  • Ning Qu

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Di Chen

    (Chinese Academy of Sciences)

  • Ben Ma

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Lijun Zhang

    (Ganmei Affiliated Hospital of Kunming Medical University (The First People’s Hospital of Kunming)
    Kunming Medical University)

  • Qiuping Wang

    (Chinese Academy of Sciences)

  • Yuting Wang

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Hongping Wang

    (Shanghai University of Traditional Chinese Medicine)

  • Zhaoxian Ni

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Wen Wang

    (Chinese Academy of Sciences)

  • Tian Liao

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Jun Xiang

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Yulong Wang

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Shi Jin

    (The First Affiliated Hospital of Dalian Medical University)

  • Dixin Xue

    (The Third Affiliated Hospital of Wenzhou Medical University)

  • Weili Wu

    (The Third Affiliated Hospital of Wenzhou Medical University)

  • Yu Wang

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Qinghai Ji

    (Fudan University Shanghai Cancer Center
    Fudan University)

  • Hui He

    (Fudan University Shanghai Cancer Center
    Fudan University
    The First Affiliated Hospital of Dalian Medical University)

  • Hai-long Piao

    (Chinese Academy of Sciences
    China Medical University)

  • Rongliang Shi

    (Fudan University Shanghai Cancer Center
    Fudan University)

Abstract

Although papillary thyroid cancer (PTC) has a good prognosis, its recurrence rate is high and remains a core concern in the clinic. Molecular factors contributing to different recurrence risks (RRs) remain poorly defined. Here, we perform an integrative proteogenomic and metabolomic characterization of 102 Chinese PTC patients with different RRs. Genomic profiling reveals that mutations in MUC16 and TERT promoter as well as multiple gene fusions like NCOA4-RET are enriched by the high RR. Integrative multi-omics analyses further describe the multi-dimensional characteristics of PTC, especially in metabolism pathways, and delineate dominated molecular patterns of different RRs. Moreover, the PTC patients are clustered into four subtypes (CS1: low RR and BRAF-like; CS2: high RR and metabolism type, worst prognosis; CS3: high RR and immune type, better prognosis; CS4: high RR and BRAF-like) based on the omics data. Notably, the subtypes display significant differences considering BRAF and TERT promoter mutations, metabolism and immune pathway profiles, epithelial cell compositions, and various clinical factors (especially RRs and prognosis) as well as druggable targets. This study can provide insights into the complex molecular characteristics of PTC recurrences and help promote early diagnosis and precision treatment of recurrent PTC.

Suggested Citation

  • Ning Qu & Di Chen & Ben Ma & Lijun Zhang & Qiuping Wang & Yuting Wang & Hongping Wang & Zhaoxian Ni & Wen Wang & Tian Liao & Jun Xiang & Yulong Wang & Shi Jin & Dixin Xue & Weili Wu & Yu Wang & Qingha, 2024. "Integrated proteogenomic and metabolomic characterization of papillary thyroid cancer with different recurrence risks," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47581-1
    DOI: 10.1038/s41467-024-47581-1
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    References listed on IDEAS

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    1. Weilin Pu & Xiao Shi & Pengcheng Yu & Meiying Zhang & Zhiyan Liu & Licheng Tan & Peizhen Han & Yu Wang & Dongmei Ji & Hualei Gan & Wenjun Wei & Zhongwu Lu & Ning Qu & Jiaqian Hu & Xiaohua Hu & Zaili L, 2021. "Single-cell transcriptomic analysis of the tumor ecosystems underlying initiation and progression of papillary thyroid carcinoma," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
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