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Prognostic features of signal transducer and activator of transcription 3 in an ER(+) breast cancer model system
Author(s) -
Liyu Liu,
LiYun Chang,
WenHung Kuo,
HsiaoLin Hwa,
Yi-Shing Lin,
MeeiHuey Jeng,
Don Roth,
KingJen Chang,
FonJou Hsieh
Publication year - 2014
Publication title -
cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.4137/cin.s12493
Subject(s) - stat3 , cancer research , stat protein , breast cancer , estrogen receptor , tamoxifen , transcription factor , biology , medicine , signal transduction , gene , cancer , microbiology and biotechnology , genetics
The aberrantly expressed signal transducer and activator of transcription 3 (STAT3) predicts poor prognosis, primarily in estrogen receptor positive (ER(+)) breast cancers. Activated STAT3 is overexpressed in luminal A subtype cells. The mechanisms contributing to the prognosis and/or subtype relevant features of STAT3 in ER(+) breast cancers are through multiple interacting regulatory pathways, including STAT3-MYC, STAT3-ERα, and STAT3-MYC-ERα interactions, as well as the direct action of activated STAT3. These data predict malignant events, treatment responses and a novel enhancer of tamoxifen resistance. The inferred crosstalk between ERα and STAT3 in regulating their shared target gene-METAP2 is partially validated in the luminal B breast cancer cell line-MCF7. Taken together, we identify a poor prognosis relevant gene set within the STAT3 network and a robust one in a subset of patients. VEGFA, ABL1, LYN, IGF2R and STAT3 are suggested therapeutic targets for further study based upon the degree of differential expression in our model.

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