↓ Skip to main content

Tyrosine kinase signalling in breast cancer: Modulation of tyrosine kinase signalling in human breast cancer through altered expression of signalling intermediates

Overview of attention for article published in Breast Cancer Research, June 2000
Altmetric Badge

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Tyrosine kinase signalling in breast cancer: Modulation of tyrosine kinase signalling in human breast cancer through altered expression of signalling intermediates
Published in
Breast Cancer Research, June 2000
DOI 10.1186/bcr54
Pubmed ID
Authors

Rania Kairouz, Roger J Daly

Abstract

The past decade has seen the definition of key signalling pathways downstream of receptor tyrosine kinases (RTKs) in terms of their components and the protein-protein interactions that facilitate signal transduction. Given the strong evidence that links signalling by certain families of RTKs to the progression of breast cancer, it is not surprising that the expression profile of key downstream signalling intermediates in this disease has also come under scrutiny, particularly because some exhibit transforming potential or amplify mitogenic signalling pathways when they are overexpressed. Reflecting the diverse cellular processes regulated by RTKs, it is now clear that altered expression of such signalling proteins in breast cancer may influence not only cellular proliferation (eg Grb2) but also the invasive properties of the cancer cells (eg EMS1/cortactin).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Lecturer 2 8%
Student > Doctoral Student 1 4%
Other 4 17%
Unknown 5 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 42%
Biochemistry, Genetics and Molecular Biology 2 8%
Medicine and Dentistry 2 8%
Nursing and Health Professions 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 7 29%