Abstract
MicroRNAs (miRNAs) are small, non-coding RNAs that can post-transcriptionally regulate gene expression via messenger RNA (mRNA) targeting. During the past few years several miRNA groups emerged as critical components of developmental and pathological processes, among them being cancer. In colorectal cancer (CRC) specifically, numerous miRNA molecules have been identified up- or downregulated functioning as tumor-specific markers with oncogenic and tumor-suppressive properties. Their dysregulation impacts impaired cellular processes such as cell proliferation, apoptosis, angiogenesis, invasion and metastasis. The detection of extracellular miRNAs in plasma and fecal samples of CRC patients tends to provide novel, non-invasive biomarkers in favor of CRC diagnosis and, at the same time, data from in vivo and in vitro CRC models reveal promising therapeutic applications through miRNA inhibition and miRNA delivery.
Keywords: Cancer diagnosis, colorectal cancer, microRNA, oncogene, therapy, tumor suppressor.
Call for Papers in Thematic Issues
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Bioinformatics is an interdisciplinary field that analyzes and explores biological data. This field combines biology and information system. Artificial Intelligence (AI) has attracted great attention as it tries to replicate human intelligence. It has become common technology for analyzing and solving complex data and problems and encompasses sub-fields of machine ...read more
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The scope of this thematic issue is to comprehensively explore the rapidly evolving landscape of biotherapeutics, emphasizing breakthroughs in precision medicine. Encompassing diverse therapeutic modalities, the issue will delve into the latest developments in monoclonal antibodies, CRISPR/Cas gene editing, CAR-T cell therapies, and innovative drug delivery systems, such as nanoparticle-based ...read more
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The intersection of machine learning (ML) and artificial intelligence (AI) with the pharmaceutical industry is revolutionizing traditional paradigms in drug discovery and development. These technologies have introduced innovative approaches to analyzing complex datasets and predicting chemical properties, leading to more efficient identification and optimization of drug candidates. By employing sophisticated ...read more
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