Evidence map›Paper›PMID 32923914›Full record

ArticleJCO precision oncology2020

Impact of a Cancer Gene Variant Reclassification Program Over a 20-Year Period.

Lisa Esterling, Ranjula Wijayatunge, Krystal Brown, Brian Morris, Elisha Hughes, Dmitry Pruss, Susan Manley, Karla R Bowles, Theodora S Ross

Abstract read
In one paragraph

Article in JCO precision oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Reclassification of VUS inGenetics in medicine open · 2025
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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

9 authors.

Lisa EsterlingMyriad Genetic Laboratories, Salt Lake City, UT.
Ranjula WijayatungeUniversity of Texas Southwestern Medical Center, Dallas, TX.
Krystal BrownMyriad Genetic Laboratories, Salt Lake City, UT.
Brian MorrisMyriad Genetic Laboratories, Salt Lake City, UT.
Elisha HughesMyriad Genetic Laboratories, Salt Lake City, UT.
Dmitry PrussMyriad Genetic Laboratories, Salt Lake City, UT.
Susan ManleyMyriad Genetic Laboratories, Salt Lake City, UT.
Karla R BowlesMyriad Genetic Laboratories, Salt Lake City, UT.
Theodora S RossUniversity of Texas Southwestern Medical Center, Dallas, TX.

Funding

The Roles and Regulation of BRCA1 in HematopoiesisR01HL132251 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI ROSS, THEODORA S · 2017 to 2020
$1.7M
NHLBI NIH HHS R01 HL132251
6 · The paper itself

Abstract

purposeHereditary cancer genetic testing can inform personalized medical management for individuals at increased cancer risk. However, many variants in cancer predisposition genes are individually rare, and traditional tools may be insufficient to evaluate pathogenicity. This analysis presents data on variant classification and reclassification over a 20-year period. PATIENTS AND

methodsThis is a retrospective analysis of > 1.9 million individuals who received hereditary cancer genetic testing from a single clinical laboratory (March 1997 to December 2017). Variant classification included review of evidence from traditional tools (eg, population frequency databases, literature) and laboratory-developed tools (eg, novel statistical methods, in-house RNA analysis) by a multidisciplinary expert committee. Variants may have been reclassified more than once and with more than one line of evidence.

resultsIn this time period, 62,842 unique variants were observed across 25 cancer predisposition genes, and 2,976 variants were reclassified. Overall, 82.1% of reclassification events were downgrades (eg, variant of uncertain significance [VUS] to benign), and 17.9% were upgrades (eg, VUS to pathogenic). Among reclassified variants, 82.8% were initially classified as VUS, and 47.5% were identified in ≤ 20 individuals (allele frequency ≤ 0.001%). Laboratory-developed tools were used in 72.3% of variant reclassification events, which affected > 600,000 individuals. More than 1.3 million patients were identified as carrying a variant that was reclassified within this 20-year time period.

conclusionThe variant classification program used by the laboratory evaluated here enabled the reclassification of variants that were individually rare. Laboratory-developed tools were a key component of this program and were used in the majority of reclassifications. This demonstrates the importance of using robust and novel tools to reclassify rare variants to appropriately inform personalized medical management.

Identifiers

PMID32923914
PMCPMC7469614

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LicenceCC BY-NC-ND
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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.