Evidence map›Paper›PMID 26987529›Full record

ReviewAdvances in experimental medicine and biology2016

Genomic Biomarkers for Breast Cancer Risk.

Michael F Walsh, Katherine L Nathanson, Fergus J Couch, Kenneth Offit

Open access · greenAbstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
17.7field-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

26 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Nutritional Genomics and Cancer Prevention.Cancer treatment and research · 2024
    Review
  6. Review
  7. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

4 authors at 4 institutions in 1 country.

Michael F WalshClinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, 10065, New York, NY, USA.
Katherine L NathansonDivision of Translational Medicine and Human Genetics, Department of Medicine, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, 19104, Philadelphia, PA, USA.
Fergus J CouchDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, 55905, Rochester, MN, USA.
Kenneth OffitClinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, 10065, New York, NY, USA. offitk@mskcc.org.
Abramson Cancer CenterCornell University · USMayo Clinic · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
Post GWA Studies in Testicular Germ Cell TumorsU01CA164947 · NCI · UNIVERSITY OF PENNSYLVANIA · PI KANETSKY, PETER A, NATHANSON, KATHERINE L. · 2012 to 2024
$11.7M
Risk and penetrance of mutations from breast cancer testing panels.R01CA192393 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH, NATHANSON, KATHERINE L. · 2014 to 2018
$6.3M
Identifying and validating novel susceptibility genes for breast cancerR01CA176785 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH, NATHANSON, KATHERINE L. · 2014 to 2018
$3.4M
BRCA2 missense mutations and breast cancerR01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
BRCA1 and BRCA2 missense mutations and breast cancer riskU01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2013 to 2017
$2.7M
Genotype and phenotype predictors in therapy response in renal cell carcinomaR01CA135509 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FLAHERTY, KEITH T, LEE, WILLIAM M · 2009 to 2013
$2.3M
NCI NIH HHS 3P30CA008748-47NCI NIH HHS CA016520NCI NIH HHS CA116167NCI NIH HHS CA116201NCI NIH HHS CA135509NCI NIH HHS CA176785NCI NIH HHS CA192393NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016520NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA116167NCI NIH HHS R01 CA135509NCI NIH HHS R01 CA176785NCI NIH HHS R01 CA192393NCI NIH HHS U01 CA116167NCI NIH HHS U01 CA164947NCI NIH HHS U01CA164947
6 · The paper itself

Abstract

Clinical risk assessment for cancer predisposition includes a three-generation pedigree and physical examination to identify inherited syndromes. Additionally genetic and genomic biomarkers may identify individuals with a constitutional basis for their disease that may not be evident clinically. Genomic biomarker testing may detect molecular variations in single genes, panels of genes, or entire genomes. The strength of evidence for the association of a genomic biomarker with disease risk may be weak or strong. The factors contributing to clinical validity and utility of genomic biomarkers include functional laboratory analyses and genetic epidemiologic evidence. Genomic biomarkers may be further classified as low, moderate or highly penetrant based on the likelihood of disease. Genomic biomarkers for breast cancer are comprised of rare highly penetrant mutations of genes such as BRCA1 or BRCA2, moderately penetrant mutations of genes such as CHEK2, as well as more common genomic variants, including single nucleotide polymorphisms, associated with modest effect sizes. When applied in the context of appropriate counseling and interpretation, identification of genomic biomarkers of inherited risk for breast cancer may decrease morbidity and mortality, allow for definitive prevention through assisted reproduction, and serve as a guide to targeted therapy .

Indexed as

Genetic TestingGenomicsAnimalsBiomarkers, TumorBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansPhenotypePredictive Value of TestsPrognosisRisk AssessmentRisk FactorsBiomarkers, TumorBiomarkersBRCABreast oncologyChemopreventionGenetic counselingGeneticsGenetic testingGenomicsProphylactic

Identifiers

PMID26987529
PMCPMC5016023
OpenAlexW2411397938

What OpenQuestion holds

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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.