Evidence map›Paper›PMID 29162654›Full record

ArticleCold Spring Harbor molecular case studies2017

The impact of hereditary cancer gene panels on clinical care and lessons learned.

Volkan Okur, Wendy K Chung

Abstract readEditorial
In one paragraph

Article in Cold Spring Harbor molecular case studies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Guideline
  2. Review
  3. Article
  4. Pathogenicity Prediction of Missense Variations in Hereditary Cancer Genes.International journal of molecular sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. BRCA-mutant pancreatic ductal adenocarcinoma.British journal of cancer · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Whole exome sequencing in familial isolated primary hyperparathyroidism.Journal of endocrinological investigation · 2020
    Article
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.

Volkan OkurDivision of Molecular Genetics, Department of Pediatrics, Columbia University Medical Center, New York, New York 10032, USA.
Wendy K ChungDivision of Molecular Genetics, Department of Pediatrics, Columbia University Medical Center, New York, New York 10032, USA; wkc15@columbia.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in hereditary cancer syndromes account for a modest fraction of all cancers; however, identifying patients with these germline mutations offers tremendous health benefits to both patients and their family members. There are about 60 genes that confer a high lifetime risk of specific cancers, and this information can be used to tailor prevention, surveillance, and treatment. With advances in next-generation sequencing technologies and the elimination of gene patents for evaluating genetic information, we are now able to analyze multiple genes simultaneously, leading to the widespread clinical use of gene panels for germline cancer testing. Over the last 4 years since these panels were introduced, we have learned about the diagnostic yield of testing, the expanded phenotypes of the patients with mutations, and the clinical utility of genetic testing in patients with cancer and/or without cancer but with a family history of cancer. We have also experienced challenges including the large number of variants of unknown significance (VUSs), identification of somatic mutations and need to differentiate these from germline mutations, technical issues with particular genes and mutations, insurance coverage and reimbursement issues, lack of access to data, and lack of clinical management guidelines for newer and, especially, moderate and low-penetrance genes. The lessons learned from cancer genetic testing panels are applicable to other clinical areas as well and highlight the problems to be solved as we advance genomic medicine.

Indexed as

Genetic Predisposition to DiseaseGenetic TestingGenetic VariationGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansMutationNeoplasmsNeoplastic Syndromes, HereditaryPedigree

Identifiers

PMID29162654
PMCPMC5701305

What OpenQuestion holds

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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.