Evidence map›Paper›PMID 24488544›Full record

ReviewCurrent oncology reports2014

Next-generation sequencing for inherited breast cancer risk: counseling through the complexity.

Irene R Rainville, Huma Q Rana

Abstract readCase ReportsReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

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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

2 authors.

Irene R Rainville, 450 Brookline Avenue, Boston, MA, 02115, USA, Irene_Rainville@dfci.harvard.edu.
Huma Q Rana

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing technology affords an unprecedented opportunity to analyze multiple breast cancer susceptibility genes simultaneously. With the incarnation of gene panels that combine testing for moderate- and high-penetrance genes, this technology has given birth to a paradigm shift in clinical genetic test offerings. A transformation in genetic counseling for cancer susceptibility will necessarily follow, with a shift from the traditional approach of single-gene testing to considerations of testing by multi-gene panels. At the same time, however, the opportunity to identify rare lesions underlying hereditary susceptibility has introduced new challenges. Available cancer risk estimates for genes included in panel tests may not be supported by evidence, and there is increased risk of identifying variants of uncertain significance (VUS). Management of individuals with rare pathogenic mutations may be unclear. We provide a summary of available evidence for breast cancer risks conferred by pathogenic mutations in genes commonly included in breast cancer susceptibility panels, as well as a review of limitations and counseling points.

Indexed as

Genetic Predisposition to DiseaseBreast NeoplasmsCounselingDNA Mutational AnalysisFemaleGenetic TestingGenetic VariationHumansMiddle AgedNeoplasm ProteinsPedigreeNeoplasm Proteins

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.