Evidence map›Paper›PMID 30709382›Full record

ArticleBMC cancer2019

Analysis on GENIE reveals novel recurrent variants that affect molecular diagnosis of sizable number of cancer patients.

Takahiko Koyama, Kahn Rhrissorrakrai, Laxmi Parida

Abstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

3 authors.

Takahiko KoyamaIBM TJ Watson Research Center, Yorktown Heights, NY, 10598, USA. tkoyama@us.ibm.com.ORCID http://orcid.org/0000-0003-1694-9061
Kahn RhrissorrakraiIBM TJ Watson Research Center, Yorktown Heights, NY, 10598, USA.
Laxmi ParidaIBM TJ Watson Research Center, Yorktown Heights, NY, 10598, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignificant numbers of variants detected in cancer patients are often left labeled only as variants of unknown significance (VUS). In order to expand precision medicine to a wider population, we need to extend our knowledge of pathogenicity and drug response in the context of VUS's.

methodsIn this study, we analyzed variants from AACR Project GENIE Consortium APG (Cancer Discov 7:818-831, 2017) and compared them to the COSMIC database Forbes et al. (Nucleic Acids Res 43:D805-811, 2015) to identify recurrent variants that would merit further study. We filtered out known hotspot variants, inactivating variants in tumor suppressors, and likely benign variants by comparing with COSMIC and ExAC Lee et al. (Science 337:967-971, 2012).

resultsWe have identified 45,933 novel variants with unknown significance unique to GENIE. In our analysis, we found on average six variants per patient where two could be considered as pathogenic or likely pathogenic and the majority are VUS's. More importantly, we have discovered 730 recurrent variants that appear more than 3 times in GENIE but less than 3 in COSMIC. If we combine the recurrences of GENIE and COSMIC for all variants, 2586 are newly identified as occurring more than 3 times than when using COSMIC alone.

conclusionsAlthough it would be inappropriate to blindly accept these recurrent variants as pathogenic, they may warrant higher priority than other observed VUS's. These newly identified recurrent variants might affect the molecular profiles of approximately 1 in 6 patients. Further analysis and characterization of these variants in both research and clinical contexts will improve patient treatments and the development of new therapeutics.

Indexed as

Databases, GeneticGenetic VariationBiomarkers, TumorGene FrequencyGenes, NeoplasmHumansNeoplasmsPrecision MedicineBiomarkers, TumorGENIEPrecision medicineRecurrent variantsVariant disparityVariant of unknown significance

Identifiers

PMID30709382
PMCPMC6359859

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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.