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A predominant enhancer co-amplified with the SOX2 oncogene is necessary and sufficient for its expression in squamous cancer

Author

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  • Yanli Liu

    (Fudan University
    University of Utah
    Northwest Agriculture and Forestry University)

  • Zhong Wu

    (Sichuan University
    Harvard Medical School)

  • Jin Zhou

    (Sichuan University
    Harvard Medical School)

  • Dinesh K. A. Ramadurai

    (University of Utah)

  • Katelyn L. Mortenson

    (University of Utah)

  • Estrella Aguilera-Jimenez

    (University of Utah)

  • Yifei Yan

    (Research Institute of the McGill University Health Centre
    McGill University)

  • Xiaojun Yang

    (Northwest Agriculture and Forestry University)

  • Alison M. Taylor

    (Columbia University)

  • Katherine E. Varley

    (University of Utah)

  • Jason Gertz

    (University of Utah)

  • Peter S. Choi

    (University of Pennsylvania)

  • Andrew D. Cherniack

    (Harvard Medical School
    Broad Institute of MIT and Harvard)

  • Xingdong Chen

    (Fudan University
    Fudan University Taizhou Institute of Health Sciences
    Yiwu Research Institute of Fudan University)

  • Adam J. Bass

    (Harvard Medical School
    Broad Institute of MIT and Harvard
    Columbia University)

  • Swneke D. Bailey

    (Research Institute of the McGill University Health Centre
    McGill University)

  • Xiaoyang Zhang

    (Fudan University
    University of Utah)

Abstract

Amplification and overexpression of the SOX2 oncogene represent a hallmark of squamous cancers originating from diverse tissue types. Here, we find that squamous cancers selectively amplify a 3’ noncoding region together with SOX2, which harbors squamous cancer-specific chromatin accessible regions. We identify a single enhancer e1 that predominantly drives SOX2 expression. Repression of e1 in SOX2-high cells causes collapse of the surrounding enhancers, remarkable reduction in SOX2 expression, and a global transcriptional change reminiscent of SOX2 knockout. The e1 enhancer is driven by a combination of transcription factors including SOX2 itself and the AP-1 complex, which facilitates recruitment of the co-activator BRD4. CRISPR-mediated activation of e1 in SOX2-low cells is sufficient to rebuild the e1-SOX2 loop and activate SOX2 expression. Our study shows that squamous cancers selectively amplify a predominant enhancer to drive SOX2 overexpression, uncovering functional links among enhancer activation, chromatin looping, and lineage-specific copy number amplifications of oncogenes.

Suggested Citation

  • Yanli Liu & Zhong Wu & Jin Zhou & Dinesh K. A. Ramadurai & Katelyn L. Mortenson & Estrella Aguilera-Jimenez & Yifei Yan & Xiaojun Yang & Alison M. Taylor & Katherine E. Varley & Jason Gertz & Peter S., 2021. "A predominant enhancer co-amplified with the SOX2 oncogene is necessary and sufficient for its expression in squamous cancer," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27055-4
    DOI: 10.1038/s41467-021-27055-4
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    as
    1. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J.Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Red, 2012. "Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 492(7428), pages 290-290, December.
    2. Mahmoud Ghandi & Franklin W. Huang & Judit Jané-Valbuena & Gregory V. Kryukov & Christopher C. Lo & E. Robert McDonald & Jordi Barretina & Ellen T. Gelfand & Craig M. Bielski & Haoxin Li & Kevin Hu & , 2019. "Next-generation characterization of the Cancer Cell Line Encyclopedia," Nature, Nature, vol. 569(7757), pages 503-508, May.
    3. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J. Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Re, 2012. "The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 483(7391), pages 603-607, March.
    4. Edmond M. Chan & Tsukasa Shibue & James M. McFarland & Benjamin Gaeta & Mahmoud Ghandi & Nancy Dumont & Alfredo Gonzalez & Justine S. McPartlan & Tianxia Li & Yanxi Zhang & Jie Liu & Jean-Bernard Laza, 2019. "WRN helicase is a synthetic lethal target in microsatellite unstable cancers," Nature, Nature, vol. 568(7753), pages 551-556, April.
    5. Sihan Wu & Kristen M. Turner & Nam Nguyen & Ramya Raviram & Marcella Erb & Jennifer Santini & Jens Luebeck & Utkrisht Rajkumar & Yarui Diao & Bin Li & Wenjing Zhang & Nathan Jameson & M. Ryan Corces &, 2019. "Circular ecDNA promotes accessible chromatin and high oncogene expression," Nature, Nature, vol. 575(7784), pages 699-703, November.
    6. Konstantin Helmsauer & Maria E. Valieva & Salaheddine Ali & Rocío Chamorro González & Robert Schöpflin & Claudia Röefzaad & Yi Bei & Heathcliff Dorado Garcia & Elias Rodriguez-Fos & Montserrat Puiggrò, 2020. "Enhancer hijacking determines extrachromosomal circular MYCN amplicon architecture in neuroblastoma," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    7. Nicholas T. Crump & Erica Ballabio & Laura Godfrey & Ross Thorne & Emmanouela Repapi & Jon Kerry & Marta Tapia & Peng Hua & Christoffer Lagerholm & Panagis Filippakopoulos & James O. J. Davies & Thoma, 2021. "BET inhibition disrupts transcription but retains enhancer-promoter contact," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    8. Jialiang Huang & Kailong Li & Wenqing Cai & Xin Liu & Yuannyu Zhang & Stuart H. Orkin & Jian Xu & Guo-Cheng Yuan, 2018. "Dissecting super-enhancer hierarchy based on chromatin interactions," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    9. Kendall R. Sanson & Ruth E. Hanna & Mudra Hegde & Katherine F. Donovan & Christine Strand & Meagan E. Sullender & Emma W. Vaimberg & Amy Goodale & David E. Root & Federica Piccioni & John G. Doench, 2018. "Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities," Nature Communications, Nature, vol. 9(1), pages 1-15, December.
    10. Esther Rheinbay & Morten Muhlig Nielsen & Federico Abascal & Jeremiah A. Wala & Ofer Shapira & Grace Tiao & Henrik Hornshøj & Julian M. Hess & Randi Istrup Juul & Ziao Lin & Lars Feuerbach & Radhakris, 2020. "Analyses of non-coding somatic drivers in 2,658 cancer whole genomes," Nature, Nature, vol. 578(7793), pages 102-111, February.
    11. Qiling Zhou & Miao Yu & Roberto Tirado-Magallanes & Bin Li & Lingshi Kong & Mingrui Guo & Zi Hui Tan & Sanghoon Lee & Li Chai & Akihiko Numata & Touati Benoukraf & Melissa Jane Fullwood & Motomi Osato, 2021. "ZNF143 mediates CTCF-bound promoter–enhancer loops required for murine hematopoietic stem and progenitor cell function," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
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