Evidence map›Paper›PMID 24449244›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2014

Cancer genomics and inherited risk.

Zsofia K Stadler, Kasmintan A Schrader, Joseph Vijai, Mark E Robson, Kenneth Offit

Abstract readCase Reports
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.

  1. A Systematic Literature Review of Whole Exome and Genome Sequencing Population Studies of Genetic Susceptibility to Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
  2. Trial
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  4. Review
  5. Observational
  6. Review
  7. Article
  8. Review
  9. Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Preparing for the unexpected: Recommendations for returning secondary findings in late-stage cancer care.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  14. Article
  15. Article
  16. The Impact of Germline Alterations in Appendiceal Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
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  19. Article
  20. Comprehensive assessment of germline pathogenic variant detection in tumor-only sequencing.Annals of oncology : official journal of the European Society for Medical Oncology · 2022
    Article

18 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Zsofia K StadlerAll authors: Memorial Sloan-Kettering Cancer Center; Zsofia K. Stadler, Mark E. Robson, and Kenneth Offit, Weill Cornell Medical College, New York, NY.
Kasmintan A Schrader
Joseph Vijai
Mark E Robson
Kenneth Offit
Breast Cancer Research Foundation · USCancer Genetics (United States) · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Next-generation sequencing (NGS) has enabled whole-exome and whole-genome sequencing of tumors for causative mutations, allowing for more accurate targeting of therapies. In the process of sequencing the tumor, comparisons to the germline genome may identify variants associated with susceptibility to cancer as well as other hereditary diseases. Already, the combination of massively parallel sequencing and selective capture approaches has facilitated efficient simultaneous genetic analysis (multiplex testing) of large numbers of candidate genes. As the field of oncology incorporates NGS approaches into tumor and germline analyses, it has become clear that the ability to achieve high-throughput genotyping surpasses our current ability to interpret and appropriately apply the vast amounts of data generated from such technologies. A review of the current state of knowledge of rare and common genetic variants associated with cancer risk or treatment outcome reveals significant progress, as well as a number of challenges associated with the clinical translation of these discoveries. The combined efforts of oncologists, genetic counselors, and cancer geneticists will be required to drive the paradigm shift toward personalized or precision medicine and to ensure the incorporation of NGS technologies into the practice of preventive oncology.

Indexed as

Genetic PrivacyGenomicsHigh-Throughput Nucleotide SequencingAdultFemaleGenetic Predisposition to DiseaseGenetic TestingGenome, HumanHumansMaleMiddle AgedMutationNeoplasmsOncogenesPolymerase Chain ReactionPrecision Medicine

Identifiers

PMID24449244
PMCPMC5795694
OpenAlexW2093022647

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.