MicroRNAs in ovarian cancer biology and therapy resistance.
The International Journal of Biochemistry & Cell Biology (impact factor: 4.63). 01/2010; 42(8):1282. pp.1282
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ABSTRACT: MicroRNAs (miRNAs) are small non-coding RNA molecules that repress the translation of messenger RNAs (mRNAs) or degrade mRNAs. These functions of miRNAs allow them to control key cellular processes such as development, differentiation and apoptosis, and they have also been implicated in several cancers such as leukaemia, lung, pancreatic and ovarian cancer (OC). Unfortunately, the specific machinery of miRNA regulation, involving transcription factors (TFs) and transcription co-factors (TcoFs), is not well understood. In the present study we focus on computationally deciphering the underlying network of miRNAs, their targets, and their control mechanisms that have an influence on OC development. We analysed experimentally verified data from multiple sources that describe miRNA influence on diseases, miRNA targeting of mRNAs, and on protein-protein interactions, and combined this data with ab initio transcription factor binding site predictions within miRNA promoter regions. From these analyses, we derived a network that describes the influence of miRNAs and their regulation in human OC. We developed a methodology to analyse the network in order to find the nodes that have the largest potential of influencing the network's behaviour (network hubs). We further show the potentially most influential miRNAs, TFs and TcoFs, showing subnetworks illustrating the involved mechanisms as well as regulatory miRNA network motifs in OC. We find an enrichment of miRNA targeted OC genes in the highly relevant pathways cell cycle regulation and apoptosis. We combined several sources of interaction and association data to analyse and place miRNAs within regulatory pathways that influence human OC. These results represent the first comprehensive miRNA regulatory network analysis for human OC. This suggests that miRNAs and their regulation may play a major role in OC and that further directed research in this area is of utmost importance to enhance our understanding of the molecular mechanisms underlying human cancer development and OC in particular.BMC Systems Biology 11/2011; 5:183. · 3.15 Impact Factor
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ABSTRACT: The most fatal gynecologic malignancy, ovarian cancer, causes more than 50% deaths in this tumor group. Most of cases (>60%) are diagnosed in advanced stages with poor 5-year survival prognosis. Diagnostic tools for an effective early detection or screening have not been found yet. Treatment possibilities (surgery, chemotherapy) are insufficient while high tendency to recurrence and chemoresistance occurs. CA125/MUC16 has been one of the most extensively used markers for a detection of primary tumors, or recurrence for a long time since its discovery in 80´s. However, the structure and biological functions of CA125 have been discovered relatively recently. CA125 may play an important role in carcinogenesis and interactions with cells of immune system. We reviewed the known biological functions and particularly the current state of using this marker as the diagnostic tool in ovarian cancer. Recently, many new markers emerged ambitiously to replace CA125; moreover, the importance of monitoring CA125 for the recurrence detection has also been questioned in large clinical trials. These studies have not found an impact for overall survival/mortality of patients. Also a potential of using CA125 targeted antibodies has not brought previously expected results so far. Key words: ovarian cancer, diagnostics, treatment, CA125, HE4, RECAF.Onkologie 01/2012; 6(2):65-67. · 0.87 Impact Factor
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