Evidence map›Paper›PMID 16978908›Full record

ReviewThe international journal of biochemistry & cell biology2007

Functional assays for BRCA1 and BRCA2.

Marcelo A Carvalho, Fergus J Couch, Alvaro N A Monteiro

Abstract readReview
In one paragraph

Review in The international journal of biochemistry & cell biology, 2007. 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
1.9field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Functional investigation of theMolecular biology research communications · 2019
    Article
  10. Article
  11. Article
  12. Prediction of breast cancer risk based on flow-variant analysis of circulating peripheral blood B cells.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    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

3 authors at 3 institutions in 2 countries.

Marcelo A CarvalhoDepartment of Risk Assessment, Detection, and Intervention, H. Lee Moffitt Cancer Center & Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA.
Fergus J Couch
Alvaro N A Monteiro
Mayo Clinic · USMoffitt Cancer Center · USRio de Janeiro Federal Institute of Education, Science and Technology · BR

Funding

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
FUNCTIONAL ANALYSIS OF BRCA1 MUTANTSR01CA092309 · NCI · STRANG CANCER PREVENTION CENTER · PI MONTEIRO, ALVARO N · 2002 to 2006
$1.3M
NCI NIH HHS CA116201NCI NIH HHS CA92309NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA092309
6 · The paper itself

Abstract

Genetic testing for the two major breast cancer susceptibility genes has now been available for several years with more than 70,000 people tested in the USA alone. While the current genetic testing identifies many sequence alterations there are problems with both sensitivity and specificity of the assay. In particular, the genetic testing is limited in its ability to determine which of the many missense mutations identified in BRCA1 and BRCA2 actually predispose to cancer and which are simply neutral alterations. Here we will focus on the limitations in test result interpretation and we will explore how biochemistry and cell biology can help to clarify these issues. Although we limit our discussion to genetic testing of BRCA1 and BRCA2, the problem is common to an expanding group of genes, including ATM and MSH2, in which germ-line missense mutations may also confer increased risk of cancer. Here we advocate the use of functional assays to complement genetic data in the analysis of unclassified missense mutations and propose a set of standards to conduct and interpret these assays.

Indexed as

BRCA1 ProteinBRCA2 ProteinBreast NeoplasmsFemaleGenes, BRCA1Genes, BRCA2Genetic TestingHumansMutation, MissenseRiskSensitivity and SpecificityBRCA1 ProteinBRCA2 Protein

Identifiers

PMID16978908
PMCPMC1862449
OpenAlexW2093155634

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.