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Integrative network analysis of early-stage lung adenocarcinoma identifies aurora kinase inhibition as interceptor of invasion and progression

Author

Listed:
  • Seungyeul Yoo

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute for Data Science and Genomic Technology
    Sema4)

  • Abhilasha Sinha

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Dawei Yang

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Fudan University)

  • Nasser K. Altorki

    (Weill Cornell Medicine-New York Presbyterian Hospital)

  • Radhika Tandon

    (St. George’s University)

  • Wenhui Wang

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute for Data Science and Genomic Technology)

  • Deebly Chavez

    (Icahn School of Medicine at Mount Sinai)

  • Eunjee Lee

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute for Data Science and Genomic Technology
    Sema4)

  • Ayushi S. Patel

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    New York University School of Medicine)

  • Takashi Sato

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Keio University School of Medicine
    Kitasato University School of Medicine)

  • Ranran Kong

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Xi’an Jiaotong University)

  • Bisen Ding

    (Icahn School of Medicine at Mount Sinai
    Sichuan University)

  • Eric E. Schadt

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute for Data Science and Genomic Technology
    Sema4
    Icahn School of Medicine at Mount Sinai)

  • Hideo Watanabe

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute for Data Science and Genomic Technology
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Pierre P. Massion

    (Vanderbilt University Medical Center)

  • Alain C. Borczuk

    (Weill Cornell Medicine)

  • Jun Zhu

    (Icahn School of Medicine at Mount Sinai
    Icahn Institute for Data Science and Genomic Technology
    Sema4
    Icahn School of Medicine at Mount Sinai)

  • Charles A. Powell

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

Abstract

Here we focus on the molecular characterization of clinically significant histological subtypes of early-stage lung adenocarcinoma (esLUAD), which is the most common histological subtype of lung cancer. Within lung adenocarcinoma, histology is heterogeneous and associated with tumor invasion and diverse clinical outcomes. We present a gene signature distinguishing invasive and non-invasive tumors among esLUAD. Using the gene signatures, we estimate an Invasiveness Score that is strongly associated with survival of esLUAD patients in multiple independent cohorts and with the invasiveness phenotype in lung cancer cell lines. Regulatory network analysis identifies aurora kinase as one of master regulators of the gene signature and the perturbation of aurora kinases in vitro and in a murine model of invasive lung adenocarcinoma reduces tumor invasion. Our study reveals aurora kinases as a therapeutic target for treatment of early-stage invasive lung adenocarcinoma.

Suggested Citation

  • Seungyeul Yoo & Abhilasha Sinha & Dawei Yang & Nasser K. Altorki & Radhika Tandon & Wenhui Wang & Deebly Chavez & Eunjee Lee & Ayushi S. Patel & Takashi Sato & Ranran Kong & Bisen Ding & Eric E. Schad, 2022. "Integrative network analysis of early-stage lung adenocarcinoma identifies aurora kinase inhibition as interceptor of invasion and progression," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29230-7
    DOI: 10.1038/s41467-022-29230-7
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    References listed on IDEAS

    as
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