Human miRNA Expression and Plant miRNA: A Statistical Approach for Cancer Therapy

Background/Objectives: The regulatory role of miRNAs in cancer is well recognized, but most studies are confined to specific cancer types or individual miRNAs. This study aims to identify miRNAs involved in global oncological mechanisms that transcend individual cancer types. Methods: We analyzed expression data from all known human miRNAs across all cancer types. A statistical approach was developed and expression distributions to define miRNAs with under- or over-expression patterns. We then studied miRNA-target gene relationships and investigated complementarity between human and plant miRNAs to propose potential therapeutic plant miRNA panels. Results: Critical miRNAs were identified based on their expression trends and impact on target genes. Plant miRNAs with strong complementarity to underexpressed human miRNAs and weak complementarity to overexpressed miRNAs were selected as candidates for therapeutic panels. Distribution patterns and key correlations were visualized using figures. Conclusions: The results suggest that an approach for making panels of selected plant miRNAs may offer therapeutic benefits by compensating for deficiencies in human miRNA expression associated with cancer. This work provides a framework for future experimental validation and therapy design.