Evidence map›Paper›PMID 24177593›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014

Breast cancer subtypes and previously established genetic risk factors: a bayesian approach.

Katie M O'Brien, Stephen R Cole, Lawrence S Engel, Jeannette T Bensen, Charles Poole, Amy H Herring, Robert C Millikan

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Association ofmedRxiv : the preprint server for health sciences · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. A method for subtype analysis with somatic mutations.Bioinformatics (Oxford, England) · 2021
    Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Bioinformatic analysis of differential expression and core GENEs in breast cancer.International journal of clinical and experimental pathology · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Previous GWAS hits in relation to young-onset breast cancer.Breast cancer research and treatment · 2017
    Article
  20. Fibroblast Growth Factor Receptor 2 Signaling in Breast Cancer.International journal of biological sciences · 2017
    Review
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

7 authors at 1 institution in 1 country.

Katie M O'BrienAuthors' Affiliations: Department of Epidemiology, University of North Carolina Gillings School of Global Public Health; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill; and Department of Biostatistics and Carolina Population Center, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina.
Stephen R Cole
Lawrence S Engel
Jeannette T Bensen
Charles Poole
Amy H Herring
Robert C Millikan
University of North Carolina at Chapel Hill · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
LINEBERGER CANCER CONTROL EDUCATION PROGRAMR25CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EARP, JO ANNE L, RIBISL, KURT M. · 1992 to 2016
$8.0M
NCI NIH HHS P30 CA016086NCI NIH HHS P30-CA16086NCI NIH HHS P50 CA058223NCI NIH HHS P50-CA58223NCI NIH HHS R25 CA057726NCI NIH HHS R25CA057726NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

backgroundGene expression analyses indicate that breast cancer is a heterogeneous disease with at least five immunohistologic subtypes. Despite growing evidence that these subtypes are etiologically and prognostically distinct, few studies have investigated whether they have divergent genetic risk factors. To help fill in this gap in our understanding, we examined associations between breast cancer subtypes and previously established susceptibility loci among white and African-American women in the Carolina Breast Cancer Study.

methodsWe used Bayesian polytomous logistic regression to estimate ORs and 95% posterior intervals for the association between each of 78 single nucleotide polymorphisms (SNP) and five breast cancer subtypes. Subtypes were defined using five immunohistochemical markers: estrogen receptors (ER), progesterone receptors (PR), human epidermal growth factor receptors 1 and 2 (HER1/2), and cytokeratin (CK) 5/6.

resultsSeveral SNPs in TNRC9/TOX3 were associated with luminal A (ER/PR+, HER2-) or basal-like breast cancer (ER-, PR-, HER2-, HER1, or CK 5/6+), and one SNP (rs3104746) was associated with both. SNPs in FGFR2 were associated with luminal A, luminal B (ER/PR+, HER2+), or HER2+/ER- disease, but none were associated with basal-like disease. We also observed subtype differences in the effects of SNPs in 2q35, 4p, TLR1, MAP3K1, ESR1, CDKN2A/B, ANKRD16, and ZM1Z1. CONCLUSION AND IMPACT: We found evidence that genetic risk factors for breast cancer vary by subtype and further clarified the role of several key susceptibility genes. .

Indexed as

Bayes TheoremBlack or African AmericanBreast NeoplasmsCase-Control StudiesFemaleGene ExpressionGenotypeHumansImmunohistochemistryMiddle AgedNorth CarolinaPolymorphism, Single NucleotideRisk FactorsTriple Negative Breast NeoplasmsWhite People

Identifiers

PMID24177593
PMCPMC3947131
OpenAlexW2096598880

What OpenQuestion holds

Textmetadata
LicenceTDM
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.