Evaluation of CSTB and DMBT1 expression in saliva of gastric cancer patients and controls.

BACKGROUND: Gastric cancer (GC) is the fifth most common cancer and the third cause of cancer deaths globally, with late diagnosis, low survival rate, and poor prognosis. This case-control study aimed to evaluate the expression of cystatin B (CSTB) and deleted in malignant brain tumor 1 (DMBT1) in the saliva of GC patients with healthy individuals to construct diagnostic algorithms using statistical analysis and machine learning methods. METHODS: Demographic data, clinical characteristics, and food intake habits of the case and control group were gathered through a standard checklist. Unstimulated whole saliva samples were taken from 31 healthy individuals and 31 GC patients. Through ELISA test and statistical analysis, the expression of salivary CSTB and DMBT1 proteins was evaluated. To construct diagnostic algorithms, we used the machine learning method. RESULTS: The mean salivary expression of CSTB in GC patients was significantly lower (115.55 ± 7.06, p = 0.001), and the mean salivary expression of DMBT1 in GC patients was significantly higher (171.88 ± 39.67, p = 0.002) than the control. Multiple linear regression analysis demonstrated that GC was significantly correlated with high levels of DMBT1 after controlling the effects of age of participants (R2 = 0.20, p < 0.001). Considering salivary CSTB greater than 119.06 ng/mL as an optimal cut-off value, the sensitivity and specificity of CSTB in the diagnosis of GC were 83.87 and 70.97%, respectively. The area under the ROC curve was calculated as 0.728. The optimal cut-off value of DMBT1 for differentiating GC patients from controls was greater than 146.33 ng/mL (sensitivity = 80.65% and specificity = 64.52%). The area under the ROC curve was up to 0.741. As a result of the machine learning method, the area under the receiver-operating characteristic curve for the diagnostic ability of CSTB, DMBT1, demographic data, clinical characteristics, and food intake habits was 0.95. The machine learning model's sensitivity, specificity, and accuracy were 100, 70.8, and 80.5%, respectively. CONCLUSION: Salivary levels of DMBT1 and CSTB may be accurate in diagnosing GCs. Machine learning analyses using salivary biomarkers, demographic, clinical, and nutrition habits data simultaneously could provide affordability models with acceptable accuracy for differentiation of GC by a cost-effective and non-invasive method.

Effect of synbiotic mouthwash on oral mucositis induced by radiotherapy in oral cancer patients: a double-blind randomized clinical trial.

PURPOSE: Considering the complex pathobiology of oral mucositis, especially in oral cancer patients, the prevention and treatment of oral mucositis in patients undergoing radiotherapy remains an essential and clinically crucial unmet need. The present study aims to investigate and compare the effects of synbiotic mouthwash with normal saline mouthwash on the prevention and control of radiotherapy-induced oral mucositis in oral cancer patients. METHODS: Double-blind, randomized clinical trial (RCT) performed on 64 oral cancer patients who underwent radiotherapy (IRCT20201106049288N1, registration date: 2020-12-23). Patients were divided randomly into the case (32 subjects) and control (32 subjects) groups. All patients underwent intensity-modulated radiotherapy and received 6000 cGY of radiotherapy in 34 fractions. All patients received the usual treatment for mucositis, but in the case group, synbiotic mouthwash was prescribed and in the control group, normal saline mouthwash was prescribed from a day before the start to the end of radiotherapy treatment. Patients were monitored every session for 6 weeks to check the progression, oral involvement severity, and mucositis grade. RESULTS: The case group showed a significant reduction in the oral mucositis severity. The mucositis grade in the case group from the 7th session of oral examination was significantly lower than the control (p < 0.05), and this significant difference persisted until the last session of oral examination. Incidence rates of severe oral mucositis (grade 3) during the treatment period were 11.59% in the case and 36.45% in control (p < 0.001). CONCLUSION: Synbiotic mouthwash significantly reduces and prevents oral mucositis intensity in oral cancer patients undergoing radiotherapy.

Comparative Efficacy of Aloe vera and Benzydamine Mouthwashes on Radiation-induced Oral Mucositis: A Triple-blind, Randomised, Controlled Clinical Trial.

PURPOSE: To compare the efficacy of an Aloe vera mouthwash with a benzydamine mouthwash in the alleviation of radiation- induced mucositis in head and neck cancer patients using a triple-blind, randomised controlled trial. MATERIALS AND METHODS: Twenty-six eligible head and neck cancer patients who were to receive conventional radiation therapy at the radiation oncology department were randomised to receive an Aloe vera mouthwash or a benzydamine mouthwash. Mucositis severity was assessed during the course of radiation therapy using the WHO grading system. RESULTS: At baseline, there was no difference in the distribution of mucositis severity between the two groups. The mean interval between radiation therapy and onset of mucositis was similar for both groups (Aloe vera 15.69±7.77 days, benzydamine 15.85±12.96 days). The mean interval between the start of radiation therapy and the maximum severity of mucositis were was also similar in both the Aloe vera and benzydamine groups (Aloe vera 23.38±10.75 days, benzydamine 23.54±15.45 days). Mean changes of mucositis severity over time in both groups were statistically similar and the effect of both treatments did not change signficantly with time (p=0.09). CONCLUSION: Aloe vera mouthwash was as beneficial as benzydamine mouthwash in alleviating the severity of radiation-induced mucositis and showed no side effects. The Aloe vera mouthwash could be an alternative agent in the treatment of radiation-induced mucositis in patients with head and neck cancers.

Diagnostic and prognostic relevance of salivary microRNA-21, -125a, -31 and -200a levels in patients with oral lichen planus - a short report.

BACKGROUND: Oral lichen planus (OLP), a relatively common chronic inflammatory disease of the oral mucosa, is considered to be a premalignant disorder of the oral cavity. Previously, several biomarkers have been tested for their diagnostic potential. Here, we aimed to investigate the diagnostic potential of four miRNAs, miR-21, -125a, -31 and -200a, known to be involved in oral squamous cell carcinoma (OSCC) development, in the saliva of OLP patients as also their putative relation to OSCC development in these patients. MATERIALS AND METHODS: Saliva samples from 30 patients with OLP were collected, 15 of whom were diagnosed with dysplasia upon histopathologic examination. In addition, 15 saliva samples from patients with OSCC and 15 saliva samples from healthy donors were collected. After RNA extraction, the respective miRNA levels were assessed by quantitative RT-PCR. RESULTS: We found that the miR-21 levels were significantly increased in saliva samples derived from patients with OLP, dysplastic OLP and OSCC, compared to those from healthy controls (p = 0.012, p = 0.0017 and p < 0.0001, respectively). Conversely, significant decreases in miR-125a levels were found in the OLP, dysplastic OLP and OSCC samples, compared to those from healthy controls (p < 0.0014, p < 0.0001 and p < 0.0001, respectively). In addition, significant increases in miR-31 levels were found in samples derived from dysplastic OLP and OSCC patients, but not in those from nondysplastic OLP patients, compared to those in healthy controls (p = 0.01 and p = 0.004, respectively). Finally, we found that the miR-200a levels were significantly decreased only in samples derived from OSCC patients (p < 0.0001). CONCLUSIONS: From our data we conclude that increased miR-21 levels in conjunction with decreased miR-125a levels in saliva of OLP patients may be indicative for a poor prognosis. Conversely, we conclude that lack of significant alterations in miR-31 and miR-200a levels in saliva of OLP patients may be indicative for absence of malignant transformation.

Lineage and phylogenetic analysis of HPV-16, -18 in saliva of HNSCC patients

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