Evidence map›Paper›PMID 20080934›Full record

ReviewToxicologic pathology2010

Genomic analyses as a guide to target identification and preclinical testing of mouse models of breast cancer.

Christina N Bennett, Jeffrey E Green

Abstract readReview
In one paragraph

Review in Toxicologic pathology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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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, Maryland 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
Intramural NIH HHS ZIA BC005740
6 · The paper itself

Abstract

Cross-species genomic analyses have proven useful for identifying common genomic alterations that occur in human cancers and mouse models designed to recapitulate human tumor development. High-throughput molecular analyses provide a valuable tool for identifying particular animal models that may represent aspects of specific subtypes of human cancers. Corresponding alterations in gene copy number and expression in tumors from mouse and human suggest that these conserved changes may be mechanistically essential for cancer development and progression, and therefore, they may be critical targets for therapeutic intervention. Using a cross-species analysis approach, mouse models in which the functions of p53, Rb, and BRCA1 have been disrupted demonstrate molecular features of human, triple-negative (ER-, PR-, and ERBB2-), basal-type breast cancer. Using mouse tumor models based on the targeted abrogation of p53 and Rb function, we identified a large, integrated genetic network that correlates to poor outcome in several human epithelial cancers. This gene signature is highly enriched for genes involved in DNA replication and repair, chromosome maintenance, cell cycle regulation, and apoptosis. Current studies are determining whether inactivation of specific members within this signature, using drugs or siRNA, will identify potentially important new targets to inhibit triple-negative, basal-type breast cancer for which no targeted therapies currently exist.

Indexed as

Disease Models, AnimalAnimalsDrug Evaluation, PreclinicalFemaleGene Expression ProfilingGenetic EngineeringHigh-Throughput Screening AssaysHumansMammary Neoplasms, ExperimentalMice

Identifiers

PMID20080934
PMCPMC3483042
OpenAlexW2104652600

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.