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  • 2022년 03월호
    [Gastric Cancer.] Glucose metabolic profiles evaluated by PET associated with molecular characteristic landscape of gastric cancer

    서울대병원 / 배성우, Felix Berlth, 최홍윤*, 양한광*

  • 출처
    Gastric Cancer.
  • 등재일
    2022 Jan
  • 저널이슈번호
    25(1):149-160. doi: 10.1007/s10120-021-01223-3. Epub 2021 Aug 7.
  • 내용

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    Abstract
    Background: Although FDG-PET is widely used in cancer, its role in gastric cancer (GC) is still controversial due to variable [18F]fluorodeoxyglucose ([18F]FDG) uptake. Here, we sought to develop a genetic signature to predict high FDG-avid GC to plan individualized PET and investigate the molecular landscape of GC and its association with glucose metabolic profiles noninvasively evaluated by [18F]FDG-PET.

    Methods: Based on a genetic signature, PETscore, representing [18F]FDG avidity, was developed by imaging data acquired from thirty patient-derived xenografts (PDX). The PETscore was validated by [18F]FDG-PET data and gene expression data of human GC. The PETscore was associated with genomic and transcriptomic profiles of GC using The Cancer Genome Atlas.

    Results: Five genes, PLS1, PYY, HBQ1, SLC6A5, and NAT16, were identified for the predictive model for [18F]FDG uptake of GC. The PETscore was validated in independent PET data of human GC with qRT-PCR and RNA-sequencing. By applying PETscore on TCGA, a significant association between glucose uptake and tumor mutational burden as well as genomic alterations were identified.

    Conclusion: Our findings suggest that molecular characteristics are underlying the diverse metabolic profiles of GC. Diverse glucose metabolic profiles may apply to precise diagnostic and therapeutic approaches for GC.

     

    Affiliations

    Seong-Woo Bae #  1 , Felix Berlth #  2 , Kyoung-Yun Jeong  1 , Ji-Hyeon Park  3 , Jong-Ho Choi  3 , Shin-Hoo Park  3 , Yun-Suhk Suh  3 , Seong-Ho Kong  3 , Do-Joong Park  3 , Hyuk-Joon Lee  1   3 , Charles Lee  4 , Jong-Il Kim  1   5 , Hyewon Youn  1   6 , Hongyoon Choi  7 , Gi Jeong Cheon  1   6 , Keon Wook Kang  1   6 , Han-Kwang Yang  8   9
    1 Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
    2 Department of General, Visceral and Transplant Surgery, University of Mainz, Mainz, Germany.
    3 Department of Surgery, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
    4 The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
    5 Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
    6 Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
    7 Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. hkyang@snu.ac.kr.
    8 Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. hkyang@snu.ac.kr.
    9 Department of Surgery, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. hkyang@snu.ac.kr.
    # Contributed equally.

  • 키워드
    Gastric cancer; Gene signature; Patient-derived xenograft; Positron emission tomography.
  • 편집위원

    위암은 생리적인 섭취와의 구별, 섭취의 다양성 등의 제한점을 포함하여 PET/CT 연구가 일부 어려운 점이 있었으나, 유전체 정보를 통한 분석을 통해 위암의 정확한 진단과 치료에 임상적으로 힌발 더 다가갈 수 있을 것으로 생각되며 나아가 위암 PET/CT 유용성의 근거로도 사용할 수 있을 것으로 기대됩니다.

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