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microRNAs and Corresponding Targets Involved in Metastasis of Colorectal Cancer in Preclinical In Vivo Models
- Source :
- Cancer Genomics Proteomics
- Publication Year :
- 2020
- Publisher :
- Anticancer Research USA Inc., 2020.
-
Abstract
- The high death toll of colorectal cancer patients is due to metastatic disease which is difficult to treat. The liver is the preferred site of metastasis, followed by the lungs and peritoneum. In order to identify new targets and new modalities of intervention we surveyed the literature for microRNAs (miRs) which modulate metastasis of colorectal cancer in preclinical in vivo models. We identified 12 up-regulated and 19 down-regulated miRs corresponding to the latter criterium. The vast majority (n=16) of identified miRs are involved in modulation of epithelial-mesenchymal transition (EMT). Other categories of metastasis-related miRs exhibit tumor- and metastasis-suppressing functions, modulation of signaling pathways, transmembrane receptors and a class of miRs, which interfere with targets which do not fit into these categories. Finally, we discuss the principles of miR inhibition and reconstitution of function, prospective clinical evaluation of with miR-related agents in the context of clinical evaluation in metastasis relevant settings.
- Subjects :
- Cancer Research
Epithelial-Mesenchymal Transition
Lung Neoplasms
Colorectal cancer
Antineoplastic Agents
Context (language use)
Review Article
Disease
Biochemistry
Metastasis
In vivo
Cell Line, Tumor
microRNA
Biomarkers, Tumor
Genetics
Animals
Humans
Medicine
Molecular Biology
Peritoneal Neoplasms
business.industry
Liver Neoplasms
medicine.disease
Xenograft Model Antitumor Assays
Gene Expression Regulation, Neoplastic
Disease Models, Animal
MicroRNAs
Death toll
Cancer research
Signal transduction
Colorectal Neoplasms
business
Signal Transduction
Subjects
Details
- ISSN :
- 17906245 and 11096535
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Cancer Genomics - Proteomics
- Accession number :
- edsair.doi.dedup.....5f0d6a8da5f20d554c30fb5e19f6d3f3
- Full Text :
- https://doi.org/10.21873/cgp.20204