Evidence map›Paper›PMID 24763289›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2014

Utilization of multigene panels in hereditary cancer predisposition testing: analysis of more than 2,000 patients.

Holly LaDuca, A J Stuenkel, Jill S Dolinsky, Steven Keiles, Stephany Tandy, Tina Pesaran, Elaine Chen, Chia-Ling Gau, Erika Palmaer, Kamelia Shoaepour and 4 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 3 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

178 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Summary ofGenes · 2020
    Pooled it
  3. Genetic tests to identify risk for breast cancer.Seminars in oncology nursing · 2015
    Pooled it
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  12. Association of gene variant type and location with breast cancer risk in the general population.Annals of oncology : official journal of the European Society for Medical Oncology · 2025
    Article
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  16. The Impact of Li-Fraumeni and Germline Retinoblastoma Mutations on Leiomyosarcoma Initiation, Outcomes, and Genetic Testing Recommendations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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118 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Holly LaDucaDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
A J StuenkelDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Jill S DolinskyDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Steven KeilesDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Stephany TandyDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Tina PesaranDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Elaine ChenDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Chia-Ling GauDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Erika PalmaerDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Kamelia ShoaepourDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Divya ShahDepartment of Genetic Counseling, Arcadia University, Glenside, Pennsylvania, USA.
Virginia SpeareDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Stephanie GandomiDepartment of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA.
Elizabeth Chao1] Department of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California, USA [2] Division of Genetics and Metabolism, Department of Pediatrics, University of California-Irvine, Irvine, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to determine the clinical and molecular characteristics of 2,079 patients who underwent hereditary cancer multigene panel testing.

methodsPanels included comprehensive analysis of 14-22 cancer susceptibility genes (BRCA1 and BRCA2 not included), depending on the panel ordered (BreastNext, OvaNext, ColoNext, or CancerNext). Next-generation sequencing and deletion/duplication analyses were performed for all genes except EPCAM (deletion/duplication analysis only). Clinical histories of ColoNext patients harboring mutations in genes with well-established diagnostic criteria were assessed to determine whether diagnostic/testing criteria were met.

resultsPositive rates were defined as the proportion of patients with a pathogenic mutation/likely pathogenic variant(s) and were as follows: 7.4% for BreastNext, 7.2% for OvaNext, 9.2% for ColoNext, and 9.6% for CancerNext. Inconclusive results were found in 19.8% of BreastNext, 25.6% of OvaNext, 15.1% of ColoNext, and 23.5% of CancerNext tests. Based on information submitted by clinicians, 30% of ColoNext patients with mutations in genes with well-established diagnostic criteria did not meet corresponding criteria.

conclusionOur data point to an important role for targeted multigene panels in diagnosing hereditary cancer predisposition, particularly for patients with clinical histories spanning several possible diagnoses and for patients with suspicious clinical histories not meeting diagnostic criteria for a specific hereditary cancer syndrome.

Indexed as

Genetic Predisposition to DiseaseAdultAgedFemaleGenetic TestingGenetic VariationGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplastic Syndromes, HereditaryPenetranceSequence Analysis, DNA

Identifiers

PMID24763289
PMCPMC4225457

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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.