RESUMEN
AIM: Colorectal cancer (CRC), as the third most frequent malignancy in the world, is the fourth major cause of cancer-related mortality. Its early detection contributes significantly to a reduction in mortality. The objective of this case-control research was to analyze the salivary expression of microRNA-29a (miR-29a) and microRNA-92a (miR-92a), and also to consider demographic, clinical, and nutritional habits for differentiation between CRC patients and healthy controls, especially in the early stages. METHOD: A standard checklist was used to obtain the demographic information, clinical features, and dietary habits of the case and control groups. Samplings of whole unstimulated saliva samples were obtained from 33 healthy persons and 42 CRC patients. Through real-time PCR, statistical analyses, and machine learning analyses, miR-29a and miR-92a salivary expression levels were evaluated. RESULTS: The mean salivary expression of miR-92a and miR-29a in CRC patients was significantly higher than in healthy controls (p < 0.001). The area under the receiver operating characteristic curve for miR-92a and miR-29a salivary biomarkers was 0.947 and 0.978, respectively. The sensitivity and specificity values for miR-92a were 95.24 % and 84.85 %, respectively, whereas sensitivity and specificity for miR-29a were equal to 95.20 % and 87.88 %, respectively. Multiple logistic regressions considering demographics, clinical features, and nutritional habits led to values of 95.35 % and 96.88 % as sensitivity and specificity, respectively, and machine learning analysis led to values of 88.89 % and 86.67 % as sensitivity and specificity, respectively. CONCLUSION: CRC could be accurately diagnosed based on miR-92a and miR-29a levels in saliva. Statistical analysis and machine learning might develop cost-effective models for the distinction of CRC using a noninvasive technique.
RESUMEN
Aim: Head and Neck Squamous Cell Carcinoma (HNSCC) is a global health problem whose incidence varies by geographic region and race according to risk factors. Human papillomavirus (HPV) infection is a significant risk factor for HNSCC. HPV-16 and HPV-18 are two forms of HPV that are carcinogenic. HNSCCs that are HPV positive have a better prognosis rather than HPV negative. The purpose of this research was to characterize HPV-16, -18 variations in the saliva of HNSCC patients by examining the genetic diversity of HPV-16, -18 utilizing the full E6, E7, and L1 genes. Methods:The case-control research included 15 patients with HNSCC and 15 healthy volunteers. Unstimulated entire saliva samples were obtained from the case and control groups by spitting method. Genomic DNA was isolated from all saliva samples. A PCR reaction was used to determine the presence of HPV in saliva. HPV-positive samples were genotyped and data were analyzed. We conducted a variant study on the HPV-16, -18 E6, and E7 genes. Results: Three patients with HNSCC were HPV-positive for two HPV genotypes out of 30 people diagnosed with HPV-DNA. HPV-16 and -18 were the most common genotypes. The HPV-16, -18 E6, and E7 genes were sequenced and compared to the HPV-16, -18 (E6, E7) prototype sequence. In all, HPV-16 lineages A1 and HPV-18 lineages A3 were discovered. Conclusion: Regarding the variation of HPV found in Iranian HNSCC patients, the need for further studies in HPV genotyping was seen. Sequencing HPV genes in HNSCC may help answer questions about HPV genotyping in the Iranian population. HPV genotype analysis aids in the development of vaccinations against HNSCC, halting disease progression and preventing HPV-associated HNSCC