Evidence map›Paper›PMID 18828875›Full record

ReviewBreast cancer research : BCR2008

Unlocking the power of cross-species genomic analyses: identification of evolutionarily conserved breast cancer networks and validation of preclinical models.

Christina N Bennett, Jeffrey E Green

Open access · goldAbstract readReview
In one paragraph

Review in Breast cancer research : BCR, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Rapid Assessment of Mitochondrial Complex I Activity and Metabolic Phenotyping of Breast Cancer Cells by NAD(p)H Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Animal models and conserved processes.Theoretical biology & medical modelling · 2012
    Article
  9. Article
  10. Review
  11. Noncanonical TGF-β signaling during mammary tumorigenesis.Journal of mammary gland biology and neoplasia · 2011
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. 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 1 institution in 1 country.

Christina N BennettLaboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Jeffrey E Green
National Cancer Institute · US

Funding

Transgenic Models for Prostate and Breast CancerZIABC005740 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GREEN, JEFFREY E · 2009 to 2016
$7.8M
TRANSGENIC MODELS FOR PROSTATE AND BREAST CANCERZ01BC005740 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GREEN, JEFFREY E · 1996 to 2008
$4.2M
6 · The paper itself

Abstract

The application of high-throughput genomic technologies has revealed that individual breast tumors display a variety of molecular features that require more personalized approaches to treatment. Several recent studies have demonstrated that a cross-species analytic approach provides a powerful means to filter through genetic complexity by identifying evolutionarily conserved genetic networks that are fundamental to the oncogenic process. Mouse-human tumor comparisons will provide insights into cellular origins of tumor subtypes, define interactive oncogenetic networks, identify potential novel therapeutic targets, and further validate as well as guide the selection of genetically engineered mouse models for preclinical testing.

Indexed as

Conserved SequenceEvolution, MolecularGene Regulatory NetworksGenes, NeoplasmAdenocarcinomaAnimalsBreast NeoplasmsDisease ProgressionDNA, NeoplasmDrug Delivery SystemsDrug Screening Assays, AntitumorEpigenesis, GeneticFemaleGene DosageGene Expression ProfilingGene Expression Regulation, NeoplasticDNA, NeoplasmNeoplasm Proteins

Identifiers

PMID18828875
PMCPMC2614501
OpenAlexW2069370401

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.