Evidence map›Paper›PMID 26682278›Full record

ArticleOncoscience2015

Conserved E2F mediated metastasis in mouse models of breast cancer and HER2 positive patients.

Jonathan Rennhack, Eran Andrechek

Open access · diamondAbstract read
In one paragraph

Article in Oncoscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  11. Observational
  12. RETRACTED: Comprehensive Analysis of the Expression and Prognosis for E2Fs in Human Breast CancerMolecular therapy : the journal of the American Society of Gene Therapy · 2019
    Article
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  15. Review
  16. Expression and prognostic value of E2F activators in NSCLC and subtypes: a research based on bioinformatics analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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.

Jonathan RennhackDepartment of Physiology, Michigan State University, East Lansing, MI, USA.
Eran AndrechekDepartment of Physiology, Michigan State University, East Lansing, MI, USA.
Michigan State University · US

Funding

Dissecting Tumor Heterogeneity by Analyzing Signaling Pathway Requirements.R01CA160514 · NCI · MICHIGAN STATE UNIVERSITY · PI ANDRECHEK, ERAN ROBERT · 2012 to 2016
$1.5M
NCI NIH HHS R01 CA160514
6 · The paper itself

Abstract

To improve breast cancer patient outcome work must be done to understand and block tumor metastasis. This study leverages bioinformatics techniques and traditional genetic screens to create a novel method of discovering potential contributors of tumor progression with a focus on tumor metastasis. A database of 1172 of expression data from a variety of mouse models of breast cancer was assembled and queried using previously defined oncogenic activity signatures. This analysis revealed high activity of the E2F family of transcription factors in the MMTV-Neu mouse model. A genetic cross of MMTV-Neu mice into an E2F1 null, E2F2 null, or E2F3 heterozygous background revealed significant changes in tumor progression specifically reductions in tumor latency and metastasis with E2F1 or E2F2 loss. These findings were found to be conserved in human HER2 positive patients. Patients with high E2F1 activity were shown to have worse outcomes such as relapse free survival and distant metastasis free survival. This study shows conserved mechanisms of tumor progression in human breast cancer subtypes and analogous mouse models and underlies the importance of increased research into the characterization of and comparisons between mouse and human tumors to identify which mouse models resemble each subtype of human breast cancer.

Indexed as

breast cancerE2FHER2metastasis

Identifiers

PMID26682278
PMCPMC4671953
OpenAlexW2199062559

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.