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Multi-omics with dynamic network biomarker algorithm prefigures organ-specific metastasis of lung adenocarcinoma

Author

Listed:
  • Xiaoshen Zhang

    (Tongji University
    Tongji University School of Medicine
    Shanghai Sixth People’s hospital affiliated to Shanghai Jiao Tong University School of Medicine)

  • Kai Xiao

    (Chinese Academy of Sciences)

  • Yaokai Wen

    (Tongji University
    Tongji University School of Medicine)

  • Fengying Wu

    (Tongji University School of Medicine)

  • Guanghui Gao

    (Tongji University School of Medicine)

  • Luonan Chen

    (Chinese Academy of Sciences
    Chinese Academy of Sciences)

  • Caicun Zhou

    (Tongji University School of Medicine)

Abstract

Efficacious strategies for early detection of lung cancer metastasis are of significance for improving the survival of lung cancer patients. Here we show the marker genes and serum secretome foreshadowing the lung cancer site-specific metastasis through dynamic network biomarker (DNB) algorithm, utilizing two clinical cohorts of four major types of lung cancer distant metastases, with single-cell RNA sequencing (scRNA-seq) of primary lesions and liquid chromatography-mass spectrometry data of sera. Also, we locate the intermediate status of cancer cells, along with its gene signatures, in each metastatic state trajectory that cancer cells at this stage still have no specific organotropism. Furthermore, an integrated neural network model based on the filtered scRNA-seq data is successfully constructed and validated to predict the metastatic state trajectory of cancer cells. Overall, our study provides an insight to locate the pre-metastasis status of lung cancer and primarily examines its clinical application value, contributing to the early detection of lung cancer metastasis in a more feasible and efficacious way.

Suggested Citation

  • Xiaoshen Zhang & Kai Xiao & Yaokai Wen & Fengying Wu & Guanghui Gao & Luonan Chen & Caicun Zhou, 2024. "Multi-omics with dynamic network biomarker algorithm prefigures organ-specific metastasis of lung adenocarcinoma," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53849-3
    DOI: 10.1038/s41467-024-53849-3
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    References listed on IDEAS

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    1. Biwei Yang & Meiyi Li & Wenqing Tang & Weixin Liu & Si Zhang & Luonan Chen & Jinglin Xia, 2018. "Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
    2. Kerui Wu & Jiamei Feng & Feng Lyu & Fei Xing & Sambad Sharma & Yin Liu & Shih-Ying Wu & Dan Zhao & Abhishek Tyagi & Ravindra Pramod Deshpande & Xinhong Pei & Marco Gabril Ruiz & Hiroyuki Takahashi & S, 2021. "Exosomal miR-19a and IBSP cooperate to induce osteolytic bone metastasis of estrogen receptor-positive breast cancer," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
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