Published today in Cancer Informatics is a new original research article by Li-Yu D. Liu, Li-Yun Chang, Wen-Hung Kuo, Hsiao-Lin Hwa, Yi-Shing Lin, Meei-Huey Jeng, Don A. Roth, King-Jen Chang and Fon-Jou Hsieh.  Read more about this paper below:

Title

Prognostic Features of Signal Transducer and Activator of Transcription 3 in an ER(+) Breast Cancer Model System

Abstract

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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