Sign up for email alerts to receive notifications of new articles published in Cancer Informatics
We aimed to find clinically relevant gene activities ruled by the signal transducer and activator of transcription 3 (STAT3) proteins in an ER(-) breast cancer population via network approach. STAT3 is negatively associated with both lymph nodal category and stage. MYC is a component of STAT3 network. MYC and STAT3 may co-regulate gene expressions for Warburg effect, stem cell like phenotype, cell proliferation and angiogenesis. We identified a STAT3 network in silico showing its ability in predicting its target gene expressions primarily for specific tumor subtype, tumor progression, treatment options and prognostic features. The aberrant expressions of MYC and STAT3 are enriched in triple negatives (TN). They promote histological grade, vascularity, metastasis and tumor anti-apoptotic activities. VEGFA, STAT3, FOXM1 and METAP2 are druggable targets. High levels of METAP2, MMP7, IGF2 and IGF2R are unfavorable prognostic factors. STAT3 is an inferred center regulator at early cancer development predominantly in TN.
PDF (2.17 MB PDF FORMAT)
RIS citation (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)
Supplementary Files 1 (8.54 MB PDF FORMAT)
BibTex citation (BIBDESK, LATEX)
It is my pleasure to describe my positive experience with your journal. First of all, it is important to me as a corresponding author, to always be kept informed of every steps of publication processes. Further, responses from editorial team to my queries have been always prompt. Different suggestions provided by reviewers and editors are very insightful to improve the presentation of our work in different perspectives. Overall, I am willing absolutely to ...