Cancer Simulation from Stage Minus One by Quantum microRNA Language: Lung, Colorectal and Pancreatic Cancers

Background: The second, third, and fourth cases of lethal cause upon cancer are lung cancer, colorectal cancer, and pancreatic cancer, respectively. This trend is not limited to some countries, but is a global problem. To further decrease cancer-related death, early prediction, diagnosis and prognosis of cancer by noninvasive liquid biopsy is an urgent issue for us. It is related with saving lives at a low medical cost and cutting-edged ideas of a neo-medical tool for risk hedge. One of the biomarkers is circulating microRNA (miRNA). miRNA can control gene expression of protein and it is a common factor of tumorigenesis and tumor suppression. Although it has recently been cleared that miRNA panel as a biomarker could be measured and evaluated as an indicator of human diseases, it is remained unclear whether the miRNA biomarker could be evaluated as biological and pathogenic processes, or pharmacologic responses to a therapeutic intervention or not. Methods: To elucidate the implication between miRNA biomarkers and pathogenic processes, time-dependent processes of tumorigenesis in pancreatic, colorectal and lung cancers were investigated through network analysis from minus one stage (or stage zero) of cancer to various cancer stages by algorithm of miRNA entangling target sorting (METS) in silico simulation using quantum miRNA language. Results: We found three different miRNA memory package (MMP) hubs for pathogenic processes among three cancer cases. Conclusions: These computer simulation data suggested that quantum miRNA language would be essential for clinical miRNA biomarker panel to understand its biological, pathological and pharmaceutical characters in cancer.