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  • [J Pers Med.] Early Prediction of Tumor Response to Neoadjuvant Chemotherapy and Clinical Outcome in Breast Cancer Using a Novel FDG-PET Parameter for Cancer Stem Cell Metabolism

    경희의대 / 김찬우, 김덕윤*

  • 출처
    J Pers Med.
  • 등재일
    2020 Sep 17
  • 저널이슈번호
    10(3):E132. doi: 10.3390/jpm10030132.
  • 내용

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    Abstract
    Cancer stem cells (CSCs) contribute to chemoresistance and tumor relapse. By using the distinct metabolic phenotype of CSC, we designed novel PET parameters for CSC metabolism and investigated their clinical values. Patients with breast cancer who underwent 18F-FDG PET/CT before neoadjuvant chemotherapy (NAC) were retrospectively included. We developed a method to measure CSC metabolism using standardized uptake value histogram data. The predictive value of novel CSC metabolic parameters for pathologic complete response (pCR) was assessed with multivariable logistic regression. The association between the CSC parameter and disease-free survival (DFS) was also determined. We identified 82 patients with HER2-positive/triple-negative subtypes and 38 patients with luminal tumors. After multivariable analysis, only metabolic tumor volume for CSC (MTVcsc) among metabolic parameters remained the independent predictor of pCR (OR, 0.12; p = 0.022). MTVcsc successfully predicted pathologic tumor response to NAC in HER2-positive/triple-negative subtypes (accuracy, 74%) but not in the luminal subtype (accuracy, 29%). MTVcsc was also predictive of DFS, with a 3-year DFS of 90% in the lower MTVcsc group (<1.75 cm3) versus 72% in the higher group (>1.75 cm3). A novel data-driven PET parameter for CSC metabolism provides early prediction of pCR after NAC and DFS in HER2-positive and triple-negative subtypes.

     

     

    Affiliations

    Chanwoo Kim  1 , Sang-Ah Han  2 , Kyu Yeoun Won  3 , Il Ki Hong  4 , Deog Yoon Kim  4
    1 Department of Nuclear Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul 05278, Korea.
    2 Department of Surgery, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul 05278, Korea.
    3 Department of Pathology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul 05278, Korea.
    4 Department of Nuclear Medicine, Kyung Hee University Hospital, Kyung Hee University School of Medicine, Seoul 02447, Korea.

  • 키워드
    FDG PET/CT; breast cancer; cancer stem cell metabolism; neoadjuvant chemotherapy.
  • 편집위원

    암줄기세포의 metabolism을 반영할 수 있는 FDG PET parameter를 이용하여 유방암환자에서 예후를 예측할 수 있음을 확인한 임상연구임. 유방암 관련 임상가, 핵의학 의사에게 에게 관심을 끌 논문으로 생각되며 타 고형암종에서 해당 parameter의 예후 예측능 연구로 파급될 수 있을 것으로 보임.

    2020-11-10 09:45:17

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