Evidence map›Paper›PMID 11250711›Full record

ReviewBreast cancer research : BCR2000

Tyrosine kinase signalling in breast cancer: epidermal growth factor receptor and c-Src interactions in breast cancer.

J S Biscardi, R C Ishizawar, C M Silva, S J Parsons

Open access · goldAbstract readReview
In one paragraph

Review in Breast cancer research : BCR, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed
2.9field-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

120 citing papers in PubMed, 321 citations in OpenAlex.

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60 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

J S BiscardiDepartment of Microbiology and Cancer Center, University of Virginia Health Sciences Center, Charlottesville, Virginia 22908, USA.
R C Ishizawar
C M Silva
S J Parsons
University of Virginia · US

Funding

The Src Target, p190RhoGAP, in Growth RegulationR01CA039438 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI PARSONS, SARAH J · 1985 to 2008
$2.0M
C SRC AND EGF RECEPTOR IN BREAST CANCER DEVELOPMENTR01CA071449 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI PARSONS, SARAH J · 1997 to 2006
$2.0M
NCI NIH HHS CA39438NCI NIH HHS CA71449NCI NIH HHS R01 CA039438NCI NIH HHS R01 CA071449
6 · The paper itself

Abstract

Both the non-receptor tyrosine kinase, c-Src, and members of the epidermal growth factor (EGF) receptor family are overexpressed in high percentages of human breast cancers. Because these molecules are plasma membrane-associated and involved in mitogenesis, it has been speculated that they function in concert with one another to promote breast cancer development and progression. Evidence to date supports a model wherein c-Src potentiates the survival, proliferation and tumorigenesis of EGF receptor family members, in part by associating with them. Phosphorylation of the EGF receptor by c-SRC is also critical for mitogenic signaling initiated by the EGF receptor itself, as well as by several G-protein coupled receptors (GPCRs), a cytokine receptor, and the estrogen receptor. Thus, c-Src appears to have pleiotropic effects on cancer cells by modulating the action of multiple growth-promoting receptors.

Indexed as

Signal TransductionBreastBreast NeoplasmsErbB ReceptorsFemaleGene Expression Regulation, NeoplasticGenes, erbB-2HumansPhosphorylationProtein-Tyrosine KinasesReceptors, Estrogensrc-Family KinasesTrans-ActivatorsErbB ReceptorsProtein-Tyrosine KinasesReceptors, Estrogensrc-Family KinasesTrans-Activators

Identifiers

PMID11250711
PMCPMC138776
OpenAlexW1854123316

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.