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Original research
Regulatory enhancer profiling of mesenchymal-type gastric cancer reveals subtype-specific epigenomic landscapes and targetable vulnerabilities
  1. Shamaine Wei Ting Ho1,2,3,
  2. Taotao Sheng1,3,4,
  3. Manjie Xing1,3,
  4. Wen Fong Ooi1,
  5. Chang Xu3,
  6. Raghav Sundar3,5,6,7,8,
  7. Kie Kyon Huang3,
  8. Zhimei Li9,
  9. Vikrant Kumar3,
  10. Kalpana Ramnarayanan3,
  11. Feng Zhu10,
  12. Supriya Srivastava10,
  13. Zul Fazreen Bin Adam Isa1,
  14. Chukwuemeka George Anene-Nzelu11,12,13,14,
  15. Milad Razavi-Mohseni15,
  16. Dustin Shigaki15,
  17. Haoran Ma3,
  18. Angie Lay Keng Tan3,
  19. Xuewen Ong3,
  20. Ming Hui Lee3,
  21. Su Ting Tay3,
  22. Yu Amanda Guo16,
  23. Weitai Huang16,
  24. Shang Li3,17,
  25. Michael A. Beer15,
  26. Roger Sik Yin Foo11,12,
  27. Ming Teh18,
  28. Anders Jacobsen Skanderup16,
  29. Bin Tean Teh3,9,19,
  30. Patrick Tan1,2,3,8,17,20,21
  1. 1 Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
  2. 2 Cancer Science Institute of Singapore, National University of Singapore, Singapore
  3. 3 Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore
  4. 4 Department of Biochemistry, National University of Singapore, Singapore
  5. 5 Department of Haematology-Oncology, National University Cancer Institute, National University Hospital, Singapore
  6. 6 Yong Loo Lin School of Medicine, National University of Singapore, Singapore
  7. 7 The N.1 Institute for Health, National University of Singapore, Singapore
  8. 8 Singapore Gastric Cancer Consortium, Singapore
  9. 9 Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, Singapore
  10. 10 Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
  11. 11 Cardiovascular Research Institute, National University Health System, Singapore
  12. 12 Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
  13. 13 Montreal Heart Institute, Quebec, Quebec, Canada
  14. 14 Department of Medicine, University of Montreal, Quebec, Quebec, Canada
  15. 15 Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA
  16. 16 Computational and Systems Biology, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
  17. 17 Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
  18. 18 Department of Pathology, National University of Singapore, Singapore
  19. 19 Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore
  20. 20 Cellular and Molecular Research, National Cancer Centre, Singapore
  21. 21 SingHealth/Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore
  1. Correspondence to Dr Patrick Tan, Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore 169857, Singapore; gmstanp{at}duke-nus.edu.sg

Abstract

Objective Gastric cancer (GC) comprises multiple molecular subtypes. Recent studies have highlighted mesenchymal-subtype GC (Mes-GC) as a clinically aggressive subtype with few treatment options. Combining multiple studies, we derived and applied a consensus Mes-GC classifier to define the Mes-GC enhancer landscape revealing disease vulnerabilities.

Design Transcriptomic profiles of ~1000 primary GCs and cell lines were analysed to derive a consensus Mes-GC classifier. Clinical and genomic associations were performed across >1200 patients with GC. Genome-wide epigenomic profiles (H3K27ac, H3K4me1 and assay for transposase-accessible chromatin with sequencing (ATAC-seq)) of 49 primary GCs and GC cell lines were generated to identify Mes-GC-specific enhancer landscapes. Upstream regulators and downstream targets of Mes-GC enhancers were interrogated using chromatin immunoprecipitation followed by sequencing (ChIP-seq), RNA sequencing, CRISPR/Cas9 editing, functional assays and pharmacological inhibition.

Results We identified and validated a 993-gene cancer-cell intrinsic Mes-GC classifier applicable to retrospective cohorts or prospective single samples. Multicohort analysis of Mes-GCs confirmed associations with poor patient survival, therapy resistance and few targetable genomic alterations. Analysis of enhancer profiles revealed a distinctive Mes-GC epigenomic landscape, with TEAD1 as a master regulator of Mes-GC enhancers and Mes-GCs exhibiting preferential sensitivity to TEAD1 pharmacological inhibition. Analysis of Mes-GC super-enhancers also highlighted NUAK1 kinase as a downstream target, with synergistic effects observed between NUAK1 inhibition and cisplatin treatment.

Conclusion Our results establish a consensus Mes-GC classifier applicable to multiple transcriptomic scenarios. Mes-GCs exhibit a distinct epigenomic landscape, and TEAD1 inhibition and combinatorial NUAK1 inhibition/cisplatin may represent potential targetable options.

  • gastric cancer

Data availability statement

All data relevant to the study are included in the article or uploaded as supplementary information.

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Data availability statement

All data relevant to the study are included in the article or uploaded as supplementary information.

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Footnotes

  • SWTH and TS contributed equally.

  • Contributors SWTH, TS and PT conceptualised and designed the study, and wrote and revised the manuscript. SWTH, MX, CX, ZL, KR, ZFBAI, CGA-N and XO performed the experiments. SWTH, TS, WFO, RS, KKH, VK, MR-M, DS, HM, YAG, WH and MAB analysed the data. FZ, SS, ALKT, XO, MHL, STT, SL, RSYF, MT, AJS and BTT provided facilities, reagents and/or intellectual input. PT supervised the study.

  • Funding This work was supported by National Medical Research Council grants NMRC/STaR/0026/2015, MOH‐OFLCG18May0003 and MOH‐000967 (MOH‐STaR21jun‐0001) and A*STAR IAF-PP grant H20H6a0030. Funding was also provided by the Cancer Science Institute of Singapore, NUS, under the National Research Foundation Singapore and the Singapore Ministry of Education under its Research Centres of Excellence initiative, and block funding was provided by Duke-NUS Medical School.

  • Competing interests PT has stock and other ownership interests in Tempus Healthcare, previous research funding from Kyowa Hakko Kirin and Thermo Fisher Scientific, and patents/other intellectual property through the Agency for Science and Technology Research, Singapore (all outside the submitted work). RS has received honoraria from MSD, Eli Lilly, Bristol Myers Squibb, Roche, Taiho, Astra Zeneca and DKSH; has advisory activity with Bristol Myers Squibb, Merck, Eisai, Bayer, Taiho, Novartis, MSD and GSK; received research funding from MSD and Paxman Coolers; and has received travel grants from Astra Zeneca, Eisai, Roche, Taiho and DKSH. All remaining authors have declared no conflicts of interest.

  • Patient and public involvement Patients and/or the public were not involved in the design, conduct, reporting or dissemination plans of this research.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.