Evidence map›Paper›PMID 35780590›Full record

ArticleESMO open2022

Discrepancies between tumor genomic profiling and germline genetic testing.

K Pauley, C Koptiuch, S Greenberg, W Kohlmann, J Jeter, S Colonna, T Werner, C Kinsey, G Gilcrease, J Weis and 3 more

Open access · goldAbstract read
In one paragraph

Article in ESMO open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

K PauleyFamily Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, USA. Electronic address: Kristen.pauley@hci.utah.edu.
C KoptiuchFamily Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, USA.
S GreenbergFamily Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, USA.
W KohlmannFamily Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, USA.
J JeterDepartment of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA.
S ColonnaDepartment of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA.
T WernerDepartment of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA.
C KinseyDepartment of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA.
G GilcreaseDepartment of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA.
J WeisDepartment of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA.
J WhisenantDepartment of Medical Oncology and Hematology, Utah Cancer Specialists, Salt Lake City, USA.
V FlorouDepartment of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA.
I Garrido-LagunaDepartment of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA.
Huntsman Cancer Institute · USUtah Cancer Specialists · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
NCI NIH HHS P30 CA042014
6 · The paper itself

Abstract

backgroundTumor genomic profiling (TGP) often incidentally identifies germline pathogenic variants (PVs) associated with cancer predisposition syndromes. Methods used by somatic testing laboratories, including germline analysis, differ from designated germline laboratories that have optimized the identification of germline PVs. This study evaluated discrepancies between somatic and germline testing results, and their impact on patients. PATIENTS AND

methodsChart reviews were carried out at a single institution for patients who had both somatic and designated germline genetic testing. Cases with discrepant results in which germline PVs were not detected by the somatic laboratory or in which variant classification differed are summarized.

resultsTGP was carried out on 2811 cancer patients, 600 of whom also underwent designated germline genetic testing. Germline PVs were identified for 109 individuals. Discrepancies between germline genetic testing and tumor profiling reports were identified in 20 cases, including 14 PVs identified by designated germline genetic testing laboratories that were not reported by somatic testing laboratories and six variants with discrepant classifications between the designated germline and somatic testing laboratories. Three PVs identified by designated germline laboratories are targets for poly adenosine diphosphate-ribose polymerase (PARP) inhibitors and resulted in different treatment options. Of the PVs identified by designated germline laboratories, 60% (n = 12) were in genes with established associations to the patients' cancer, and 40% of the PVs were incidental. The majority (90%) of all discrepant findings, both contributory and incidental, changed management recommendations for these patients, highlighting the importance of comprehensive germline assessment.

conclusionsMethods used by somatic laboratories, regardless of the inclusion of germline analysis, differ from those of designated germline laboratories for identifying germline PVs. Unrecognized germline PVs may harm patients by missing hereditary syndromes and targeted therapy opportunities (e.g. anti-programmed cell death protein 1 immunotherapy, PARP inhibitors). Clinicians should refer patients who meet the criteria for genetic evaluation regardless of somatic testing outcomes.

Indexed as

Germ-Line MutationNeoplasmsGenetic Predisposition to DiseaseGenetic TestingGenomicsGerm CellsHumansgermline genetic testinghereditary cancerprecision medicinesomatic testing

Identifiers

PMID35780590
PMCPMC9511791
OpenAlexW4283754048

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.