Evidence map›Paper›PMID 31245058›Full record

ArticleESMO open2019

Prospective analysis of 895 patients on a UK Genomics Review Board.

David Allan Moore, Marina Kushnir, Gabriel Mak, Helen Winter, Teresa Curiel, Mark Voskoboynik, Michele Moschetta, Nataliya Rozumna-Martynyuk, Kevin Balbi, Philip Bennett and 5 more

Abstract readComment
In one paragraph

Article in ESMO open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  3. Molecular tumor board in patients with metastatic breast cancer.Breast cancer research and treatment · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

David Allan Moore *Department of Pathology, University College London Cancer Institute, London, UK.ORCID 0000-0002-6296-1312
Marina Kushnir *Medical Oncology, Sarah Cannon Research Institute UK, London, UK.
Gabriel MakUniversity of New South Wales Adult Cancer Program, Sydney, New South Wales, Australia.
Helen WinterMedical Oncology, Sarah Cannon Research Institute UK, London, UK.
Teresa CurielMedical Oncology, Sarah Cannon Research Institute UK, London, UK.
Mark VoskoboynikDepartment of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Michele MoschettaEarly Clinical Development, AstraZeneca UK Ltd, Cambridge, UK.
Nataliya Rozumna-MartynyukMedical Oncology, Sarah Cannon Research Institute UK, London, UK.
Kevin BalbiSarah Cannon Molecular Diagnostics, London, UK.
Philip BennettSarah Cannon Molecular Diagnostics, London, UK.
Martin ForsterUniversity College London Cancer Institute, London, UK.
Anjana KulkarniGuy's and St Thomas' Foundation NHS Trust, London, UK.
Debra HaynesMedical Oncology, Sarah Cannon Research Institute UK, London, UK.
Charles SwantonThe Francis Crick Institute, London, UK.
Hendrik-Tobias ArkenauMedical Oncology, Sarah Cannon Research Institute UK, London, UK.

Funding

Cancer Research UK 17786Cancer Research UK 19310Cancer Research UK 20265Cancer Research UK 20466Cancer Research UK 24956Cancer Research UK 25253
6 · The paper itself

Abstract

backgroundThe increasing frequency and complexity of cancer genomic profiling represents a challenge for the oncology community. Results from next-generation sequencing-based clinical tests require expert review to determine their clinical relevance and to ensure patients are stratified appropriately to established therapies or clinical trials.

methodsThe Sarah Cannon Research Institute UK/UCL Genomics Review Board (GRB) was established in 2014 and represents a multidisciplinary team with expertise in molecular oncology, clinical trials, clinical cancer genetics and molecular pathology. Prospective data from this board were collated.

resultsTo date, 895 patients have been reviewed by the GRB, of whom 180 (20%) were referred for clinical trial screening and 62 (7%) received trial therapy. For a further 106, a clinical trial recommendation was given.

conclusionsNumerous challenges are faced in implementing a GRB, including the identification of potential germline variants, the interpretation of variants of uncertain significance and consideration of the technical limitations of pathology material when interpreting results. These challenges are likely to be encountered with increasing frequency in routine practice. This GRB experience provides a model for the multidisciplinary review of molecular profiling data and for the linking of molecular analysis to clinical trial networks.

Indexed as

clinical geneticsgenomic medicinemolecular oncologymolecular tumour board

Identifiers

PMID31245058
PMCPMC6557082

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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.