Evidence map›Paper›PMID 32025647›Full record

ArticleJAMIA open2019

A virtual molecular tumor board to improve efficiency and scalability of delivering precision oncology to physicians and their patients.

Michael J Pishvaian, Edik M Blais, R Joseph Bender, Shruti Rao, Simina M Boca, Vincent Chung, Andrew E Hendifar, Sam Mikhail, Davendra P S Sohal, Paula R Pohlmann and 9 more

Abstract read
In one paragraph

Article in JAMIA open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Evaluating the Effect ofJCO precision oncology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Michael J PishvaianLombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA.
Edik M BlaisPerthera, Inc, McLean, Virginia, USA.
R Joseph BenderPerthera, Inc, McLean, Virginia, USA.
Shruti RaoInnovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington DC, USA.
Simina M BocaLombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA.
Vincent ChungCity of Hope Cancer Center, Duarte, California, USA.
Andrew E HendifarCedars-Sinai Medical Center, Los Angeles, California, USA.
Sam MikhailMark H. Zangmeister Cancer Center, Columbus, Ohio, USA.
Davendra P S SohalCase Comprehensive Cancer Center, University Hospitals Seidman Cancer Center, Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, USA.
Paula R PohlmannLombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA.
Kathleen N MooreStephenson Oklahoma Cancer Center, University of Oklahoma, Oklahoma City, Oklahoma, USA.
Kai HeCedars-Sinai Medical Center, Los Angeles, California, USA.
Bradley J MonkArizona Oncology, University of Arizona College of Medicine, Phoenix, Arizona, USA.
Robert L ColemanUniversity of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
Thomas J HerzogUniversity of Cincinnati Cancer Institute, University of Cincinnati, Cincinnati, Ohio, USA.
David D HalversonPerthera, Inc, McLean, Virginia, USA.
Patricia DeArbeloaPerthera, Inc, McLean, Virginia, USA.
Emanuel F PetricoinPerthera, Inc, McLean, Virginia, USA.
Subha MadhavanLombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Louis M Weiner · 1990 to 2026
$71.5M
The Clinical Genome Resource - Expert Curation and EHR IntegrationU41HG009650 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S · 2017 to 2020
$13.3M
Georgetown-Howard Universities Center for Clinical and Translational Science (GHUKL2TR000102 · NCATS · GEORGETOWN UNIVERSITY · PI MELLMAN, THOMAS A, VERBALIS, JOSEPH G · 2012 to 2014
$1.7M
Integration of 3D primary tumor drug-profiling with patient-specific drug gene networks for recommending targeted cancer therapies (2 of 2).R21CA220398 · NCI · GEORGETOWN UNIVERSITY · PI BOCA, SIMINA MARIA · 2017 to 2019
$497k
NCATS NIH HHS KL2 TR000102NCI NIH HHS P30 CA051008NCI NIH HHS R21 CA220398NHGRI NIH HHS U41 HG009650
6 · The paper itself

Abstract

objectivesScalable informatics solutions that provide molecularly tailored treatment recommendations to clinicians are needed to streamline precision oncology in care settings. MATERIALS AND

methodsWe developed a cloud-based virtual molecular tumor board (VMTB) platform that included a knowledgebase, scoring model, rules engine, an asynchronous virtual chat room and a reporting tool that generated a treatment plan for each of the 1725 patients based on their molecular profile, previous treatment history, structured trial eligibility criteria, clinically relevant cancer gene-variant assertions, biomarker-treatment associations, and current treatment guidelines. The VMTB systematically allows clinician users to combine expert-curated data and structured data from clinical charts along with molecular testing data to develop consensus on treatments, especially those that require off-label and clinical trial considerations.

resultsThe VMTB was used as part of the cancer care process for a focused subset of 1725 patients referred by advocacy organizations wherein resultant personalized reports were successfully delivered to treating oncologists. Median turnaround time from data receipt to report delivery decreased from 14 days to 4 days over 4 years while the volume of cases increased nearly 2-fold each year. Using a novel scoring model for ranking therapy options, oncologists chose to implement the VMTB-derived therapies over others, except when pursuing immunotherapy options without molecular support. DISCUSSION: VMTBs will play an increasingly critical role in precision oncology as the compendium of biomarkers and associated therapy options available to a patient continues to expand.

conclusionFurther development of such clinical augmentation tools that systematically combine patient-derived molecular data, real-world evidence from electronic health records and expert curated knowledgebases on biomarkers with computational tools for ranking best treatments can support care pathways at point of care.

Indexed as

implementation sciencemolecular tumor boardsprecision informaticsprecision oncologyvirtual tumor boards

Identifiers

PMID32025647
PMCPMC6994017

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.