핵의학

본문글자크기
  • [Eur J Nucl Med Mol Imaging.] 폐암에서 대사텍스쳐와 유전특성 상관성Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer.

    성균관의대 / 문승환*, 김진호, 이세훈*

  • 출처
    Eur J Nucl Med Mol Imaging.
  • 등재일
    2019 Feb
  • 저널이슈번호
    46(2):446-454. doi: 10.1007/s00259-018-4138-5. Epub 2018 Aug 25.
  • 내용

    바로가기  >

    Abstract
    PURPOSE:
    This study investigated the correlations between parameters of 18F-fluorodeoxyglucose (FDG) uptake on positron emission tomography (PET) scan and indices of genetic properties, heterogeneity index (HI), and tumor mutation burden (TMB), in patients with lung cancer.

    METHODS:
    We produced 106 PET indices for each tumor site that underwent genomic analysis in a total of 176 study subjects (age, 62.0 ± 10.0 y; males, 68.2%), comprising 101 adenocarcinoma (ADC), 29 squamous cell carcinoma (SQCC), and 46 small cell lung cancer (SCLC) patients. We then examined the correlations of the PET parameters with genetic properties of HI and TMB, according to pathology and tumor site.

    RESULTS:
    Comparisons between PET parameters and the genetic properties with false discovery rate (FDR) correction revealed that the surface standard uptake value (SUV) entropy of SUV statistics had a significant correlation with HI only in patients with SCLC who underwent a genetic test in lymph nodes (r = 0.592, p = 0.028), whereas PET parameters did not show a significant correlation with HI or TMB in patients with SCLC who underwent a genetic test in lung tissue. In patients with ADC and SQCC, there was no significant correlation between PET parameters and the genetic properties. Although SUVmax showed raw p values less than 0.05 in correlation with HI (r = 0.315, raw p = 0.048) and TMB (r = 0.206, raw p = 0.043) in ADC, and SUVpeak had a raw p value less than 0.05 in correlation with HI (r = 0.394, raw p = 0.046) in SQCC, these parameters were not significant when corrected by FDR.

    CONCLUSIONS:
    In this study, surface SUV entropy had a significant correlation with HI in SCLC. Regarding other PET parameters and tumors, no significant correlation with genetic parameters existed.

     


    Author information

    Moon SH1, Kim J2, Joung JG2, Cha H2,3, Park WY4, Ahn JS5, Ahn MJ5, Park K5, Choi JY6, Lee KH6, Kim BT6, Lee SH7,8.
    1
    Department of Nuclear Medicine and Molecular Imaging, Samsung Medical Center, Seoul, Republic of Korea. seunghwan.moons.moon@samsung.com.
    2
    Samsung Genome Institute, Samsung Medical Center, Seoul, Republic of Korea.
    3
    Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
    4
    Samsung Genome Institute, Samsung Medical Center, Samsung Advanced Institute of Health Science and Technology, Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
    5
    Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
    6
    Department of Nuclear Medicine and Molecular Imaging, Samsung Medical Center, Seoul, Republic of Korea.
    7
    Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea. sehoon.lee@samsung.com.
    8
    Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. sehoon.lee@samsung.com.

  • 키워드
    18F-fluorodeoxyglucose (FDG); Genetic heterogeneity; Imaging genomics; Positron emission tomography (PET); Tumor mutation burden
  • 편집위원

    폐암환자의 FDG PET 영상에서 구한 surface SUV entropy가 편평세포암에서만 heterogeneity index와 상관성이 있음을 보여준 임상연구임. 핵의학 영상 분석으로 악성종양의 유전적 특성을 예측 할 수 있음을 연구로 다양한 악성종양 연구로 파급 될 수 있을 것으로 보임. 해당 연구 결과는 핵의학 영상분석 관심 연구자, 종양학 및 호흡기학 임상 의사들에게 관심을 끌 수 있는 연구로 보임.

    2019-03-14 14:12:16

  • 편집위원2

    추후 surface SUV entropy, heterogeniety of tumor, 유전형 또는 유전자정보 등과 연계된 정밀의학, 인공지능, radiomics 등의 최근 연구들과도 향후 연계가 가능할 것으로 판단됨.

    2019-03-14 14:15:04

  • 덧글달기
    덧글달기
       IP : 54.163.200.109

    등록