Evidence map›Paper›PMID 26246475›Full record

ArticleOncotarget2015

Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes.

Rory L Cochran, Justin Cidado, Minsoo Kim, Daniel J Zabransky, Sarah Croessmann, David Chu, Hong Yuen Wong, Julia A Beaver, Karen Cravero, Bracha Erlanger and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

15 authors at 3 institutions in 1 country.

Rory L CochranThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Justin CidadoOncology iMED, AstraZeneca, Waltham, MA, USA.
Minsoo KimThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Daniel J ZabranskyThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sarah CroessmannThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
David ChuThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hong Yuen WongThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Julia A BeaverThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Karen CraveroThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Bracha ErlangerThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Heather ParsonsThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christopher M HeaphyThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Alan K MeekerThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Josh LauringThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ben Ho ParkThe Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sidney Kimmel Comprehensive Cancer Center · USAstraZeneca (United States) · USJohns Hopkins University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
VACCINES--A NEW PARADIGM FOR BREAST CANCERP50CA088843 · NCI · JOHNS HOPKINS UNIVERSITY · PI KENSLER, THOMAS A · 2000 to 2010
$27.8M
Training Program in Cellular and Molecular MedicineT32GM008752 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI RAO, RAJINI · 2000 to 2019
$11.7M
Predoctoral Training Program in Human GeneticsT32GM007814 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 1985 to 2021
$10.6M
Cooperation of Mutant TP53 and PIK3CA in Breast CarcinogensisF31CA167939 · NCI · JOHNS HOPKINS UNIVERSITY · PI CROESSMANN, SARAH E · 2013 to 2015
$88k
A novel model system for risk assessment of BRCA carriersF31CA168180 · NCI · JOHNS HOPKINS UNIVERSITY · PI COCHRAN, RORY LANDON · 2012 to 2013
$84k
NCI NIH HHS CA167939NCI NIH HHS CA168180NCI NIH HHS F31 CA167939NCI NIH HHS F31 CA168180NCI NIH HHS NIH CA088843NCI NIH HHS P50 CA088843NIGMS NIH HHS GM007309NIGMS NIH HHS T32 GM007309NIGMS NIH HHS T32 GM007814NIGMS NIH HHS T32 GM008752
6 · The paper itself

Abstract

Clinical genetic testing of BRCA1 and BRCA2 is commonly performed to identify specific individuals at risk for breast and ovarian cancers who may benefit from prophylactic therapeutic interventions. Unfortunately, it is evident that deleterious BRCA1 alleles demonstrate variable penetrance and that many BRCA1 variants of unknown significance (VUS) exist. In order to further refine hereditary risks that may be associated with specific BRCA1 alleles, we performed gene targeting to establish an isogenic panel of immortalized human breast epithelial cells harboring eight clinically relevant BRCA1 alleles. Interestingly, BRCA1 mutations and VUS had distinct, quantifiable phenotypes relative to isogenic parental BRCA1 wild type cells and controls. Heterozygous cells with known deleterious BRCA1 mutations (185delAG, C61G and R71G) demonstrated consistent phenotypes in radiation sensitivity and genomic instability assays, but showed variability in other assays. Heterozygous BRCA1 VUS cells also demonstrated assay variability, with some VUS demonstrating phenotypes more consistent with deleterious alleles. Taken together, our data suggest that BRCA1 deleterious mutations and VUS can differ in their range of tested phenotypes, suggesting they might impart varying degrees of risk. These results demonstrate that functional isogenic modeling of BRCA1 alleles could aid in classifying BRCA1 mutations and VUS, and determining BRCA allele cancer risk.

Indexed as

Models, GeneticMutationBiomarkers, TumorBRCA1 ProteinBreast NeoplasmsCell CycleCell Line, TransformedCell ProliferationCentrosomeFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenomic InstabilityHeredityHeterozygoteHumansBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanBRCA1breast cancercentrosome amplificationhaploinsufficiencyVUS

Identifiers

PMID26246475
PMCPMC4694828
OpenAlexW1649452474

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.