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Elucidating the genomic architecture of Asian EGFR-mutant lung adenocarcinoma through multi-region exome sequencing

Author

Listed:
  • Rahul Nahar

    (Genome Institute of Singapore)

  • Weiwei Zhai

    (Genome Institute of Singapore
    Nanyang Technological University)

  • Tong Zhang

    (Genome Institute of Singapore)

  • Angela Takano

    (Singapore General Hospital)

  • Alexis J. Khng

    (Genome Institute of Singapore)

  • Yin Yeng Lee

    (Genome Institute of Singapore)

  • Xingliang Liu

    (Genome Institute of Singapore)

  • Chong Hee Lim

    (National Heart Centre Singapore)

  • Tina P. T. Koh

    (National Heart Centre Singapore)

  • Zaw Win Aung

    (National Cancer Centre Singapore)

  • Tony Kiat Hon Lim

    (Singapore General Hospital)

  • Lavanya Veeravalli

    (Genome Institute of Singapore)

  • Ju Yuan

    (Genome Institute of Singapore)

  • Audrey S. M. Teo

    (Genome Institute of Singapore)

  • Cheryl X. Chan

    (Genome Institute of Singapore)

  • Huay Mei Poh

    (Genome Institute of Singapore)

  • Ivan M. L. Chua

    (Genome Institute of Singapore)

  • Audrey Ann Liew

    (Genome Institute of Singapore
    National Cancer Centre Singapore
    National Cancer Centre Singapore)

  • Dawn Ping Xi Lau

    (National Cancer Centre Singapore
    National Cancer Centre Singapore)

  • Xue Lin Kwang

    (National Cancer Centre Singapore
    National Cancer Centre Singapore)

  • Chee Keong Toh

    (National Cancer Centre Singapore)

  • Wan-Teck Lim

    (National Cancer Centre Singapore)

  • Bing Lim

    (Genome Institute of Singapore)

  • Wai Leong Tam

    (Genome Institute of Singapore)

  • Eng-Huat Tan

    (National Cancer Centre Singapore)

  • Axel M. Hillmer

    (Genome Institute of Singapore
    University Hospital Cologne)

  • Daniel S. W. Tan

    (Genome Institute of Singapore
    National Cancer Centre Singapore
    National Cancer Centre Singapore)

Abstract

EGFR-mutant lung adenocarcinomas (LUAD) display diverse clinical trajectories and are characterized by rapid but short-lived responses to EGFR tyrosine kinase inhibitors (TKIs). Through sequencing of 79 spatially distinct regions from 16 early stage tumors, we show that despite low mutation burdens, EGFR-mutant Asian LUADs unexpectedly exhibit a complex genomic landscape with frequent and early whole-genome doubling, aneuploidy, and high clonal diversity. Multiple truncal alterations, including TP53 mutations and loss of CDKN2A and RB1, converge on cell cycle dysregulation, with late sector-specific high-amplitude amplifications and deletions that potentially beget drug resistant clones. We highlight the association between genomic architecture and clinical phenotypes, such as co-occurring truncal drivers and primary TKI resistance. Through comparative analysis with published smoking-related LUAD, we postulate that the high intra-tumor heterogeneity observed in Asian EGFR-mutant LUAD may be contributed by an early dominant driver, genomic instability, and low background mutation rates.

Suggested Citation

  • Rahul Nahar & Weiwei Zhai & Tong Zhang & Angela Takano & Alexis J. Khng & Yin Yeng Lee & Xingliang Liu & Chong Hee Lim & Tina P. T. Koh & Zaw Win Aung & Tony Kiat Hon Lim & Lavanya Veeravalli & Ju Yua, 2018. "Elucidating the genomic architecture of Asian EGFR-mutant lung adenocarcinoma through multi-region exome sequencing," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02584-z
    DOI: 10.1038/s41467-017-02584-z
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    Cited by:

    1. Fayang Ma & Kyle Laster & Zigang Dong, 2022. "The comparison of cancer gene mutation frequencies in Chinese and U.S. patient populations," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Yoshitaka Sakamoto & Shuhei Miyake & Miho Oka & Akinori Kanai & Yosuke Kawai & Satoi Nagasawa & Yuichi Shiraishi & Katsushi Tokunaga & Takashi Kohno & Masahide Seki & Yutaka Suzuki & Ayako Suzuki, 2022. "Phasing analysis of lung cancer genomes using a long read sequencer," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    3. Bryan R. Gorman & Sun-Gou Ji & Michael Francis & Anoop K. Sendamarai & Yunling Shi & Poornima Devineni & Uma Saxena & Elizabeth Partan & Andrea K. DeVito & Jinyoung Byun & Younghun Han & Xiangjun Xiao, 2024. "Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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