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A STAT3-based gene signature stratifies glioma patients for targeted therapy

Author

Listed:
  • Melanie Si Yan Tan

    (National Neuroscience Institute
    Nanyang Technological University)

  • Edwin Sandanaraj

    (National Neuroscience Institute
    Nanyang Technological University
    Agency for Science, Technology and Research (A*STAR))

  • Yuk Kien Chong

    (National Neuroscience Institute)

  • See Wee Lim

    (National Neuroscience Institute)

  • Lynnette Wei Hsien Koh

    (National Neuroscience Institute
    Nanyang Technological University)

  • Wai Hoe Ng

    (National Neuroscience Institute
    Duke-National University of Singapore Medical School)

  • Nguan Soon Tan

    (Nanyang Technological University
    Agency for Science, Technology and Research (A*STAR)
    Nanyang Technology University)

  • Patrick Tan

    (Duke-National University of Singapore Medical School
    National University of Singapore)

  • Beng Ti Ang

    (Agency for Science, Technology and Research (A*STAR)
    National Neuroscience Institute
    Duke-National University of Singapore Medical School
    National University of Singapore)

  • Carol Tang

    (National Neuroscience Institute
    Duke-National University of Singapore Medical School
    National Cancer Centre)

Abstract

Intratumoral heterogeneity is a hallmark of glioblastoma (GBM) tumors, thought to negatively influence therapeutic outcome. Previous studies showed that mesenchymal tumors have a worse outcome than the proneural subtype. Here we focus on STAT3 as its activation precedes the proneural-mesenchymal transition. We first establish a STAT3 gene signature that stratifies GBM patients into STAT3-high and -low cohorts. STAT3 inhibitor treatment selectively mitigates STAT3-high cell viability and tumorigenicity in orthotopic mouse xenograft models. We show the mechanism underlying resistance in STAT3-low cells by combining STAT3 signature analysis with kinome screen data on STAT3 inhibitor-treated cells. This allows us to draw connections between kinases affected by STAT3 inhibitors, their associated transcription factors and target genes. We demonstrate that dual inhibition of IGF-1R and STAT3 sensitizes STAT3-low cells and improves survival in mice. Our study underscores the importance of serially profiling tumors so as to accurately target individuals who may demonstrate molecular subtype switching.

Suggested Citation

  • Melanie Si Yan Tan & Edwin Sandanaraj & Yuk Kien Chong & See Wee Lim & Lynnette Wei Hsien Koh & Wai Hoe Ng & Nguan Soon Tan & Patrick Tan & Beng Ti Ang & Carol Tang, 2019. "A STAT3-based gene signature stratifies glioma patients for targeted therapy," Nature Communications, Nature, vol. 10(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11614-x
    DOI: 10.1038/s41467-019-11614-x
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    Cited by:

    1. Yan Zhang & Chi Yan Wong & Carine Z. J. Lim & Qingchang Chen & Zhonglang Yu & Auginia Natalia & Zhigang Wang & Qing You Pang & See Wee Lim & Tze Ping Loh & Beng Ti Ang & Carol Tang & Huilin Shao, 2023. "Multiplexed RNA profiling by regenerative catalysis enables blood-based subtyping of brain tumors," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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