The quantum language of the microRNA gene and anti-cancer: with a dynamic computer simulation of human breast cancer drug resistance

Abstract

Precision medicine requires for treatments according to the personalized genetic and environmental diversities. In insights of the diversity, individual variation of drug sensitivity would be implied in many factors, one of them would be the microRNA (miRNA) gene. The drug resistance would also be related with alteration of miRNA genotype in the cancer cell via its administrated anticancer drug. Further, natural products as the nutraceuticals could also modulate miRNA expression and promote anticancer effects. In the case of foods, not only foods’ miRNAs but also nutrients and natural products could render changing the phenotype of cells by alteration of miRNA expression. The facts show that environmental quantum energy of therapeutic drugs and foods may have an important role for miRNA gene expression upon the cells to personalize biological reaction under pharmacokinetics, and the new pharmacokinetics may be required through miRNA response. In turn, drugs among individuals treated would be also affected by personal state of quantum energy in the miRNA genes, and the quantum language of miRNA would dynamically adjust re-position of the personalized health. On the contrary, miRNA could control protein expression or epigenetic traits both negatively and positively, or directly and indirectly in the transcription and translation processes. Dysregulation of miRNA induces human cancer. Further, long noncoding RNA (lncRNA) and circular RNA (circRNA) could also act together with miRNAs and would control protein gene expression with miRNA. Participating in cancer development and progression, lncRNAs and circRNAs would directly or indirectly regulate signalling pathways and proliferation processes via miRNA sponging, and function as miRNA reservoir or as binding protein scavengers. The pharmaceutical agents would affect these RNA gene regulators at first in a cell and in vivo. To elucidate new pharmacokinetics of agents, the miRNA-mRNA-lncRNA-circRNA network architecture should be investigated. Thus, we review lncRNA and circRNA functions in cancers. Then, quantum energy relation among miRNA-mRNA-lncRNA-circRNA is discussed. Further, as a sample of drug treatment-related with quantum language of miRNA, drug resistance of human breast cancer was dynamically simulated using the miRNA entangling target sorter (METS). Since we have proved that quantum characters among miRNAs is implicated in oncogenesis, experimental evidences reviewed and dynamic in silico simulation with METS suggested that quantum language of miRNAs may be a common factor through tumorigenesis, anti-cancer and drug resistance.