Concordance Between Recommendations From Multidisciplinary Molecular Tumor Boards and Central Consensus for Cancer Treatment in Japan

  • Naito, Yoichi
    Department of General Internal Medicine, National Cancer Center Hospital East
  • Sunami, Kuniko
    Department of Laboratory Medicine, National Cancer Center Hospital
  • Kage, Hidenori
    Department of Next-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, The University of Tokyo Clinical Research and Medical Innovation Center, Hokkaido University Hospital
  • Komine, Keigo
    Department of Medical Oncology, Tohoku University Hospital
  • Amano, Toraji
    Division of Clinical Cancer Genomics, Hokkaido University Hospital
  • Imai, Mitsuho
    Genomics Unit, Keio University School of Medicine Translational Research Support Section, National Cancer Center Hospital East
  • Koyama, Takafumi
    Department of Experimental Therapeutics, National Cancer Center Hospital
  • Ennishi, Daisuke
    Department of Hematology and Oncology, Okayama University Hospital
  • Kanai, Masashi
    Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University
  • Kenmotsu, Hirotsugu
    Division of Thoracic Oncology, Shizuoka Cancer Center
  • Maeda, Takahiro
    Division of Precision Medicine, Kyushu University Graduate School of Medical Sciences
  • Morita, Sachi
    Department of Clinical Oncology and Chemotherapy, Nagoya University Hospital
  • Sakai, Daisuke
    Center for Cancer Genomics and Personalized Medicine, Osaka University
  • Watanabe, Kousuke
    Department of Clinical Laboratory, The University of Tokyo Hospital
  • Shirota, Hidekazu
    Department of Medical Oncology, Tohoku University Hospital
  • Kinoshita, Ichiro
    Division of Clinical Cancer Genomics, Hokkaido University Hospital
  • Yoshioka, Masashiro
    Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto University
  • Mamesaya, Nobuaki
    Division of Thoracic Oncology, Shizuoka Cancer Center
  • Ito, Mamoru
    Division of Precision Medicine, Kyushu University Graduate School of Medical Sciences
  • Kohsaka, Shinji
    Section of Knowledge Integration, Center for Cancer Genomics and Advanced Therapeutics, National Cancer Center
  • Saigusa, Yusuke
    Department of Biostatistics, Yokohama City University Graduate School of Medicine
  • Yamamoto, Kouji
    Department of Biostatistics, Yokohama City University Graduate School of Medicine
  • Hirata, Makoto
    Department of Genetic Medicine and Services, National Cancer Center Hospital
  • Tsuchihara, Katsuya
    Division of Translational Informatics, National Cancer Center Exploratory Oncology Research and Clinical Trial Center
  • Yoshino, Takayuki
    Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East

説明

<jats:sec id="ab-zoi221275-4"><jats:title>Importance</jats:title><jats:p>Quality assurance of molecular tumor boards (MTBs) is crucial in cancer genome medicine.</jats:p></jats:sec><jats:sec id="ab-zoi221275-5"><jats:title>Objective</jats:title><jats:p>To evaluate the concordance of recommendations by MTBs and centrally developed consensus treatment recommendations at all 12 leading institutions for cancer genomic medicine in Japan using 50 simulated cases.</jats:p></jats:sec><jats:sec id="ab-zoi221275-6"><jats:title>Design, Setting, and Participants</jats:title><jats:p>This was a prospective quality improvement study of 50 simulated cancer cases. Molecular tumor boards from 12 core hospitals independently recommended treatment for 50 cases blinded to the centrally developed consensus treatment recommendations. The study’s central committee consisted of representatives from all 12 core hospitals in Japan who selected the 50 simulated cases from The Cancer Genome Atlas database, including frequently observed genomic alterations. The central committee recommended centrally developed consensus treatment. The concordance rate for genomically matched treatments between MTBs and centrally developed consensus treatment recommendations was evaluated. Data analysis was conducted from January 22 to March 3, 2021.</jats:p></jats:sec><jats:sec id="ab-zoi221275-7"><jats:title>Exposures</jats:title><jats:p>Simulated cases of cancer.</jats:p></jats:sec><jats:sec id="ab-zoi221275-8"><jats:title>Main Outcomes and Measures</jats:title><jats:p>The primary outcome was concordance, defined as the proportion of recommendations by MTBs concordant with centrally developed consensus treatment recommendations. A mixed-effects logistic regression model, adjusted for institutes as a random intercept, was applied. High evidence levels were defined as established biomarkers for which the treatment was ready for routine use in clinical practice, and low evidence levels were defined as biomarkers for genomically matched treatment that were under investigation.</jats:p></jats:sec><jats:sec id="ab-zoi221275-9"><jats:title>Results</jats:title><jats:p>The <jats:italic>Clinical Practice Guidance for Next-Generation Sequencing in Cancer Diagnosis and Treatment</jats:italic> (edition 2.1) was used for evidence-level definition. The mean concordance between MTBs and centrally developed consensus treatment recommendations was 62% (95% CI, 57%-65%). Each MTB concordance varied from 48% to 86%. The concordance rate was higher in the subset of patients with colorectal cancer (100%; 95% CI, 94.0%-100%), <jats:italic>ROS1</jats:italic> fusion (100%; 95% CI, 85.5%-100%), and high evidence level A/R (A: 88%; 95% CI, 81.8%-93.0%; R:100%; 95% CI, 92.6%-100%). Conversely, the concordance rate was lower in cases of cervical cancer (11%; 95% CI, 3.1%-26.1%), <jats:italic>TP53</jats:italic> mutation (16%; 95% CI, 12.5%-19.9%), and low evidence level C/D/E (C: 30%; 95% CI, 24.7%-35.9%; D: 25%; 95% CI, 5.5%-57.2%; and E: 18%; 95% CI, 13.8%-23.0%). Multivariate analysis showed that evidence level (high [A/R] vs low [C/D/E]: odds ratio, 4.4; 95% CI, 1.8-10.8) and <jats:italic>TP53</jats:italic> alteration (yes vs no: odds ratio, 0.06; 95% CI, 0.03-0.10) were significantly associated with concordance.</jats:p></jats:sec><jats:sec id="ab-zoi221275-10"><jats:title>Conclusions and Relevance</jats:title><jats:p>The findings of this study suggest that genomically matched treatment recommendations differ among MTBs, particularly in genomic alterations with low evidence levels wherein treatment is being investigated. Sharing information on matched therapy for low evidence levels may be needed to improve the quality of MTBs.</jats:p></jats:sec>

収録刊行物

  • JAMA Network Open

    JAMA Network Open 5 (12), e2245081-, 2022-12-05

    American Medical Association

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