RESUMO
Background: MiR-34a and miR-126 mainly act as tumor suppressors and are often downregulated in various cancers, including non-small cell lung cancer (NSCLC). We aimed to determine the methylation status of miR-34a and miR-126 in NSCLC patients. Methods: The current study included 63 paraffin-embedded NSCLC and paired adjacent normal tissues. After DNA extraction and bisulfite treatment, the methylation status of miR-34a and miR-126 were evaluated using the MSP method. Results: There was no statistically significant difference between tumor and normal tissues regarding the methylation status of miR-34a and miR-126 (p > 0.05). Moreover, we found no significant correlation between the methylation status of miR-34a and miR-126 with patients' demographic parameters, including gender, age, and pathology subtype (p > 0.05). Conclusion: Considering the low expression of mir-126 and mir-34 in NSCLC, more sensitive methods are recommended to be exploited for detecting the level of methylation or underlying mechanisms other than promoter hypermethylation in silencing these genes in NSCLC.
Assuntos
Carcinoma Pulmonar de Células não Pequenas , Neoplasias Pulmonares , MicroRNAs , Humanos , Carcinoma Pulmonar de Células não Pequenas/genética , Carcinoma Pulmonar de Células não Pequenas/patologia , Linhagem Celular Tumoral , Metilação de DNA/genética , Regulação Neoplásica da Expressão Gênica , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/patologia , MicroRNAs/genética , MicroRNAs/metabolismo , Regiões Promotoras Genéticas/genéticaRESUMO
Breast cancer (BC) is both an inherited and environmental-based disease which is the leading cause of death among women. Early detection of BC can prevent invasion and metastasis in patients. Currently, researchers endeavor to find non-invasive biological markers from body fluids. Circulating non-coding RNAs such as microRNAs (miRNAs) can potentially be valuable prognostic and detective biomarkers. To identify novel miRNA-based biomarkers, we utilized bioinformatic tools. To reach this goal, the miRNA expression profiles of GSE31309, GSE 44,281, GSE98181, and GSE118782 were analyzed through a limma package of R. Target gene prediction of differentially expressed miRNAs, called differentially expressed miRNAs (DEMs), between samples of healthy individuals and BC patients was implemented through Multimir package of R. Functional enrichment analysis of predicted target genes through Enrich R (online database) revealed that most of the genes are enriched in the mitochondrial outer membrane for cellular component, intrinsic apoptotic signaling regulations for biological processes, transcription co-receptor activity for molecular functions, and dopaminergic synapse pathway. Furthermore, our survival analysis results revealed that miR-29c and mir-361 have the potential to serve as prognostic biomarkers.