Evidence map›Paper›PMID 21380934›Full record

ArticleJournal of mammary gland biology and neoplasia2011

Map making in the 21st century: charting breast cancer susceptibility pathways in rodent models.

Anneke C Blackburn, D Joseph Jerry

Abstract read
In one paragraph

Article in Journal of mammary gland biology and neoplasia, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 2 countries.

Anneke C BlackburnJohn Curtin School of Medical Research, Australian National University, Acton, Canberra, ACT, Australia. Anneke.Blackburn@anu.edu.au
D Joseph Jerry
Australian National University · AUPioneer (United States) · US

Funding

Genetic modifiers of mammary tumor susceptibilityR01CA105452 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI JERRY, D. JOSEPH · 2005 to 2009
$1.5M
P53-dependent responses to toxicants in parous and nulliparous breastR01ES015739 · NIEHS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI JERRY, D. JOSEPH · 2007 to 2010
$1.5M
NCI NIH HHS R01 CA105452NCI NIH HHS R01-CA105452NIEHS NIH HHS R01 ES015739NIEHS NIH HHS R01-ES015739
6 · The paper itself

Abstract

Genetic factors play an important role in determining risk and resistance to increased breast cancer. Recent technological advances have made it possible to analyze hundreds of thousands of single nucleotide polymorphisms in large-scale association studies in humans and have resulted in identification of alleles in over 20 genes that influence breast cancer risk. Despite these advances, the challenge remains in identifying what the functional polymorphisms are that confer the increased risk, and how these genetic variants interact with each other and with environmental factors. In rodents, the incidence of mammary tumors varies among strains, such that they can provide alternate ideas for candidate pathways involved in humans. Mapping studies in animals have unearthed numerous loci for breast cancer susceptibility that have been validated in human populations. In a reciprocal manner, knockin and knockout mice have been used to validate the tumorigenicity of risk alleles found in population studies. Rodent studies also underscore the complexity of interactions among alleles. The fact that genes affecting risk and resistance to mammary tumors in rodents depend greatly upon the carcinogenic challenge emphasizes the importance of gene x environment interactions. The challenge to rodent geneticists now is to capitalize on the ability to control the genetics and environment in rodent models of tumorigenesis to better understand the biology of breast cancer development, to identify those polymorphisms most relevant to human susceptibility and to identify compensatory pathways that can be targeted for improved prevention in women at highest risk of developing breast cancer.

Indexed as

AnimalsBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansMammary Neoplasms, AnimalMiceTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID21380934
PMCPMC5512563
OpenAlexW2037779379

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.