MicroRNAs miR-584-5p and miR-425-3p Are Up-Regulated in Plasma of Colorectal Cancer (CRC) Patients: Targeting with Inhibitor Peptide Nucleic Acids Is Associated with Induction of Apoptosis in Colon Cancer Cell Lines.
Jessica GasparelloChiara PapiMatteo ZurloLaura GambariAlex ManicardiAndrea RozziMatteo FerrariniRoberto CorradiniRoberto GambariAlessia FinottiPublished in: Cancers (2022)
Liquid biopsy has dramatically changed cancer management in the last decade; however, despite the huge number of miRNA signatures available for diagnostic or prognostic purposes, it is still unclear if dysregulated miRNAs in the bloodstream could be used to develop miRNA-based therapeutic approaches. In one author's previous work, nine miRNAs were found to be dysregulated in early-stage colon cancer (CRC) patients by NGS analysis followed by RT-dd-PCR validation. In the present study, the biological effects of the targeting of the most relevant dysregulated miRNAs with anti-miRNA peptide nucleic acids (PNAs) were verified, and their anticancer activity in terms of apoptosis induction was evaluated. Our data demonstrate that targeting bloodstream up-regulated miRNAs using anti-miRNA PNAs leads to the down-regulation of target miRNAs associated with inhibition of the activation of the pro-apoptotic pathway in CRC cellular models. Moreover, very high percentages of apoptotic cells were found when the anti-miRNA PNAs were associated with other pro-apoptotic agents, such as sulforaphane (SFN). The presented data sustain the idea that the targeting of miRNAs up-regulated in the bloodstream with a known role in tumor pathology might be a tool for the design of protocols for anti-tumor therapy based on miRNA-targeting molecules.
Keyphrases
- cell death
- end stage renal disease
- cell cycle arrest
- early stage
- cancer therapy
- chronic kidney disease
- newly diagnosed
- ejection fraction
- anti inflammatory
- transcription factor
- prognostic factors
- gram negative
- squamous cell carcinoma
- cell proliferation
- escherichia coli
- electronic health record
- machine learning
- mesenchymal stem cells
- artificial intelligence
- multidrug resistant
- childhood cancer
- deep learning