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Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy

Author

Listed:
  • Shumei Kato

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Ki Hwan Kim

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center
    Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Boramae Medical Center)

  • Hyo Jeong Lim

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center
    Veterans Health Service Medical Center)

  • Amelie Boichard

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Mina Nikanjam

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Elizabeth Weihe

    (UC San Diego Moores Cancer Center)

  • Dennis J. Kuo

    (Division of Pediatric Hematology-Oncology, Rady Children’s Hospital-San Diego, University of California San Diego School of Medicine)

  • Ramez N. Eskander

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Aaron Goodman

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Natalie Galanina

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Paul T. Fanta

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Richard B. Schwab

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Rebecca Shatsky

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Steven C. Plaxe

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Andrew Sharabi

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center
    UC San Diego Moores Cancer Center)

  • Edward Stites

    (Integrative Biology Laboratory, Salk Institute for Biological Studies)

  • Jacob J. Adashek

    (University of South Florida, H. Lee Moffitt Cancer Center & Research Institute)

  • Ryosuke Okamura

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Suzanna Lee

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Scott M. Lippman

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

  • Jason K. Sicklick

    (Center for Personalized Cancer Therapy and Division of Surgical Oncology, Department of Surgery, UC San Diego Moores Cancer Center)

  • Razelle Kurzrock

    (Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center)

Abstract

Next-generation sequencing (NGS) can identify novel cancer targets. However, interpreting the molecular findings and accessing drugs/clinical trials is challenging. Furthermore, many tumors show resistance to monotherapies. To implement a precision strategy, we initiated a multidisciplinary (basic/translational/clinical investigators, bioinformaticians, geneticists, and physicians from multiple specialties) molecular tumor board (MTB), which included a project manager to facilitate obtaining clinical-grade biomarkers (blood/tissue NGS, specific immunohistochemistry/RNA expression including for immune-biomarkers, per physician discretion) and medication-acquisition specialists/clinical trial coordinators/navigators to assist with medication access. The MTB comprehensively reviewed patient characteristics to develop N-of-One treatments implemented by the treating physician’s direction under the auspices of a master protocol. Overall, 265/429 therapy-evaluable patients (62%) were matched to ≥1 recommended drug. Eighty-six patients (20%) matched to all drugs recommended by MTB, including combinatorial approaches, while 38% received physician’s choice regimen, generally with unmatched approach/low degree of matching. Our results show that patients who receive MTB-recommended regimens (versus physician choice) have significantly longer progression-free (PFS) and overall survival (OS), and are better matched to therapy. High (≥50%) versus low (

Suggested Citation

  • Shumei Kato & Ki Hwan Kim & Hyo Jeong Lim & Amelie Boichard & Mina Nikanjam & Elizabeth Weihe & Dennis J. Kuo & Ramez N. Eskander & Aaron Goodman & Natalie Galanina & Paul T. Fanta & Richard B. Schwab, 2020. "Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18613-3
    DOI: 10.1038/s41467-020-18613-3
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    Cited by:

    1. David Hsiehchen & Leslie Bucheit & Dong Yang & Muhammad Shaalan Beg & Mir Lim & Sunyoung S. Lee & Pashtoon Murtaza Kasi & Ahmed O. Kaseb & Hao Zhu, 2022. "Genetic features and therapeutic relevance of emergent circulating tumor DNA alterations in refractory non-colorectal gastrointestinal cancers," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Gaurav Mendiratta & Eugene Ke & Meraj Aziz & David Liarakos & Melinda Tong & Edward C. Stites, 2021. "Cancer gene mutation frequencies for the U.S. population," Nature Communications, Nature, vol. 12(1), pages 1-11, December.

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