A microRNA molecular modeling extension for prediction of colorectal cancer treatment

摘要: Background: Several studies show that the regulatory impact of microRNAs (miRNAs) is an essential contribution to pathogenesis colorectal cancer (CRC). The expression levels diverse miRNAs are associated with specific clinical diagnoses and prognoses CRC. However, this association reveals very little actionable information regard how or whether treat a CRC patient. To address problem, we use miRNA data along other molecular predict individual response cell lines patients. Methods: A strategy has been developed join four types information: molecular, kinetic, genetic treatment for prediction Results: Information on regulation, including target regulation transcriptional miRNA, in integrated into silico model colon cancer. This applied study responses seven from NCI-60 ten agents targeting signaling pathways. Predictive results models without implemented compared advantages shown extended model. Finally, was 22 patients treatments sirolimus LY294002. can also replicate oncogenic tumor suppression roles therapeutic as reported literature. Conclusions: In summary, reveal detailed events be combined data, gene/miRNA enhance tumors. demonstrates regarding response.