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A study on Notch signaling in human breast cancer.

Authors: S, Zang; Ch, Ji; Xun, Qu; X, Dong; D, Ma; J, Ye; R, Ma; +2 Authors

A study on Notch signaling in human breast cancer.

Abstract

Breast cancer is one of the leading causes of cancer death in women. The Notch family of proteins plays crucial roles in determining cell fates such as proliferation, differentiation and apoptosis. A role for Notch signaling in human breast cancer has been suggested by the development of adenocarcinomas in the murine mammary gland. However, it is not clear currently whether Notch signaling is frequently expressed and activated in breast cancers. Here we show that Notch signaling is overexpressed and highly activated in breast cancers. More significantly, the attenuation of Notch signaling by gamma-secretase inhibitor can inhibit the proliferation of breast cancer cells by both causing cell cycle arrest and apoptosis. Thus, targeting Notch signaling may be of therapeutic value in breast cancers.

Related Organizations
Keywords

Homeodomain Proteins, Calcium-Binding Proteins, Cell Cycle, Membrane Proteins, Apoptosis, Breast Neoplasms, Cell Line, Tumor, Proto-Oncogene Proteins, Basic Helix-Loop-Helix Transcription Factors, Humans, Intercellular Signaling Peptides and Proteins, Protease Inhibitors, Breast, RNA, Messenger, RNA, Neoplasm, Amyloid Precursor Protein Secretases, Receptor, Notch1, Receptor, Notch3, Adaptor Proteins, Signal Transducing, Cell Proliferation

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Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Average
Top 10%
Top 10%