A Functional and Regulatory Network Associated with PIP Expression in Human Breast Cancer
نویسندگان
چکیده
BACKGROUND The PIP (prolactin-inducible protein) gene has been shown to be expressed in breast cancers, with contradictory results concerning its implication. As both the physiological role and the molecular pathways in which PIP is involved are poorly understood, we conducted combined gene expression profiling and network analysis studies on selected breast cancer cell lines presenting distinct PIP expression levels and hormonal receptor status, to explore the functional and regulatory network of PIP co-modulated genes. PRINCIPAL FINDINGS Microarray analysis allowed identification of genes co-modulated with PIP independently of modulations resulting from hormonal treatment or cell line heterogeneity. Relevant clusters of genes that can discriminate between [PIP+] and [PIP-] cells were identified. Functional and regulatory network analyses based on a knowledge database revealed a master network of PIP co-modulated genes, including many interconnecting oncogenes and tumor suppressor genes, half of which were detected as differentially expressed through high-precision measurements. The network identified appears associated with an inhibition of proliferation coupled with an increase of apoptosis and an enhancement of cell adhesion in breast cancer cell lines, and contains many genes with a STAT5 regulatory motif in their promoters. CONCLUSIONS Our global exploratory approach identified biological pathways modulated along with PIP expression, providing further support for its good prognostic value of disease-free survival in breast cancer. Moreover, our data pointed to the importance of a regulatory subnetwork associated with PIP expression in which STAT5 appears as a potential transcriptional regulator.
منابع مشابه
CTLA4 Gene Variants in Autoimmunity and Cancer: a Comparative Review
Gene association studies are less appealing in cancer compared to autoimmune diseases. Complexity, heterogeneity, variation in histological types, age at onset, short survival, and acute versus chronic conditions are cancer related factors which are different from an organ specific autoimmune disease, such as Grave’s disease, on which a large body of multicentre data is accumulated. For years t...
متن کاملIdentification of Prognostic Genes in Her2-enriched Breast Cancer by Gene Co-Expression Net-work Analysis
Introduction: HER2-enriched subtype of breast cancer has a worse prognosis than luminal subtypes. Recently, the discovery of targeted therapies in other groups of breast cancer has increased patient survival. The aim of this study was to identify genes that affect the overall survival of this group of patients based on a systems biology approach. Methods: Gene expression data and clinical infor...
متن کاملبررسی بیوانفورماتیکی میانکنش بین میکرو RNAها با ژنهای دخیل در عود مجدد سرطان پستان درمان شده با تاموکسیفن
Background and Objective: Tamoxifen is the most commonly used treatment for the patients with breast cancer called ER +, which prevents the expression of genes that are effective in the growth and proliferation of cancer cells by estrogen. Resistant to Tamoxifen is a major clinical problem in breast cancer treatment. In recent studies, the role of microRNAs in tamoxifen resistance has been rais...
متن کاملBioinformatics identification of miRNA-mRNA regulatory network contributing to lung cancer invasion
Background: Over the past 15 years, significant insights have been gained into the roles of miRNAs in cancer. In various cancers, miRNAs can act as oncogenes, tumor suppressors, or control the metastasis process by modulating the expression of numerous target genes. This study is aimed at determining molecular network of miRNA-mRNA regulating lung cancer invasion, by bioinformatics approaches. ...
متن کاملBioinformatics Identification of miRNA-mRNA Regulatory Network Contributing Primary Lung Cancer
Introduction: In clinical practice, distinguishing invasive lung tumors from primary tumors remains a challenge. With recent advances in understanding biological alterations of tumorigenesis and molecular analytic technologies, using these molecular alterations can be sensitive and tumor-specific as biomarker for the stratification of patients. In this study, the molecular network of miRNA-mRNA...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- PLoS ONE
دوره 4 شماره
صفحات -
تاریخ انتشار 2009