Evidence map›Paper›PMID 32760473›Full record

ArticleHereditary cancer in clinical practice2020

Informing patients about their mutation tests: CDKN2A c.256G>A in melanoma as an example.

Kari Hemminki, Aayushi Srivastava, Sivaramakrishna Rachakonda, Obul Bandapalli, Eduardo Nagore, Akseli Hemminki, Rajiv Kumar

Open access · goldAbstract read
In one paragraph

Article in Hereditary cancer in clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

4 citing papers in PubMed, 4 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

7 authors at 3 institutions in 4 countries.

Kari HemminkiDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany.ORCID 0000-0002-2769-3316
Aayushi SrivastavaHopp Children's Cancer Center (KiTZ), Heidelberg, Germany.
Sivaramakrishna RachakondaDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany.
Obul BandapalliHopp Children's Cancer Center (KiTZ), Heidelberg, Germany.
Eduardo NagoreDepartment of Dermatology, Instituto Valenciano de Oncología, València, Spain.
Akseli HemminkiCancer Gene Therapy Group, Translational Immunology Research Program, University of Helsinki, Helsinki, Finland.
Rajiv KumarDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany.
German Cancer Research Center · DEUniversity of Helsinki · FIValencia Catholic University Saint Vincent Martyr · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhen germline mutations are suspected as causal in cancer, patient DNA may be sequenced to detect variants in relevant genes. If a particular mutation has not been reported in reliable family studies, genetic counselors are facing a dilemma of appropriately informing patients. Many sequencing facilities provide an interpretation of the findings based on the available sequence databases or on prediction tools that are curated from bioinformatics and mechanistic datasets. The counseling dilemma is exacerbated if the pedigree data are not informative but the in silico predictions suggest pathogenicity.

methodsWe present here a real world example of the c.256G > A

resultsThis c.256G > A

conclusionsThe pedigree data showed at the most a low penetrance variant, which, if taken into consideration, might have altered the provided diagnosis. When dealing with 'practically' unknown variants the counselors would be advised to incorporate a detailed family history rather than basing predictions on functionality provided by sequencing facilities.

Indexed as

DeleteriousnessFunctionalityGenetic counselingMelanoma suppressor gene

Identifiers

PMID32760473
PMCPMC7393828
OpenAlexW3046458217

What OpenQuestion holds

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LicenceCC BY
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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.