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  • [J Cell Mol Med.] Development of a risk scoring system for patients with papillary thyroid cancer.

    부산의대 / 박경준, 오세옥*

  • 출처
    J Cell Mol Med.
  • 등재일
    2019 Apr
  • 저널이슈번호
    23(4):3010-3015. doi: 10.1111/jcmm.14208. Epub 2019 Feb 7.
  • 내용

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    Abstract
    As the importance of personalized therapeutics in aggressive papillary thyroid cancer (PTC) increases, accurate risk stratification is required. To develop a novel prognostic scoring system for patients with PTC (n = 455), we used mRNA expression and clinical data from The Cancer Genome Atlas. We performed variable selection using Network-Regularized high-dimensional Cox-regression with gene network from pathway databases. The risk score was calculated using a linear combination of regression coefficients and mRNA expressions. The risk score and clinical variables were assessed by several survival analyses. The risk score showed high discriminatory power for the prediction of event-free survival as well as the presence of metastasis. In multivariate analysis, the risk score and presence of metastasis were significant risk factors among the clinical variables that were examined together. In the current study, we developed a risk scoring system that will help to identify suitable therapeutic options for PTC.

     


    Author information

    Pak K1, Kim YH2,3, Suh S4, Goh TS5, Jeong DC6, Kim SJ7, Kim IJ1, Han ME8, Oh SO8.
    1
    Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
    2
    Department of Anatomy and Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, Republic of Korea.
    3
    Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
    4
    Department of Internal Medicine, Dong-A University College of Medicine, Busan, Republic of Korea.
    5
    Department of Orthopaedic Surgery and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
    6
    Deloitte Analytics Group, Deloitte Consulting LLC, Republic of Korea.
    7
    Department of Nuclear Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
    8
    Department of Anatomy, School of Medicine, Pusan National University, Yangsan, Republic of Korea.

  • 키워드
    TCGA; network-regularized high dimensional cox regression; papillary thyroid cancer; pathway databases; prognosis
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