RESUMO
Introduction: miRNAs originating from colorectal cancer (CRC) tissue receive significant focus in the early diagnosis of CRC due to their stability in body fluids. However, if these miRNAs originated from alternative organs, their prognostic value will diminish. Thus, in this study, we aim to identify disease-specific miRNAs for colorectal cancer (CRC) by employing bioinformatics and experimental methodologies. Method: To identify CRC-specific miRNAs, we retrieved miRNA profiles of CRC and normal tissues from the Cancer Genome Atlas (TCGA) database. Subsequently, computational strategies were utilized to select potential candidate miRNAs. Following this, the expression levels of the potent miRNAs were assessed through RT-qPCR in both CRC tissue and serum samples from patients (N = 46), as well as healthy individuals (N = 46). Additionally, the associations between clinicopathological characteristics, survival outcomes, and diagnostic accuracy were evaluated. Results: A total of 8893 RNA-seq expression data were acquired from TCGA, comprising 8250 data from 19 distinct cancer types and 643 corresponding healthy samples. Based on the computational methodology, miR-549a, miR-552, and miR-592 were identified as the principal expressed miRNAs in colorectal cancer (CRC). Within these miRNAs, miR-552 displayed a substantial association with tumors at the N and T stages. miR-549a and miR-592 were observed to be linked exclusively to the invasion of tumor depth and tumor stage (TNM), respectively. The receiver operating characteristic (ROC) analysis conducted on the miRNA expression in serum samples revealed that all miRNAs exhibited an area under the ROC curve (AUC) of up to 0.86, thereby indicating their high diagnostic accuracy. Conclusion: Considering the strong associations of these three identified miRNAs with CRC, they can collectively serve as a panel for specific discrimination of CRC from other types of cancer within the body. Although this study focused solely on CRC, this approach can potentially be applied to other cancer types as well.
RESUMO
Rotavirus is known to be responsible for remarkable numbers of severe diarrheal episodes and even death in infants and young children. In this study, we aimed to survey genetic diversity and variation analysis of viroporin, which is encoded by the rotavirus NSP4 segment. Thirty-five rotavirus-positive specimens were obtained, and RNA extraction and polymerase chain reaction amplification were performed. After the sequencing process, four specimens were excluded, and the final 31 samples remained for genetic diversity and variation analysis. The predominant single G/P combination was G1P[8] (~78%), followed by G2P[8] (~13%), and equal percentages (3%) of G2P[4], G3P[8], and G-non-typeable-P[8]. Further analyses revealed that variations could be found in the three regions of NSP4, including VP4 binding site (aa 112-146), double-layered particle binding site (aa 161-175), and finally, in the predicted amphipathic alpha-helix. Phylogenic tree analysis demonstrated that the mentioned samples clustered with genotype E1 and E2 reference sequences. As previously reported in the literature, in this study, it was revealed that no apparent correlation exists in the deduced amino acid sequences corresponding to this region between the rotaviruses collected from patients with and without diarrhea.
