Diagnostic potential of salivary IL-1β, IL-8, SAT, S100P, and OAZ1 in oral squamous cell carcinoma, oral submucous fibrosis, and oral lichen planus based on findings from a Sri Lankan cohort
Abstract The research examined the salivary concentrations of various biomarkers, such as OAZ1, SAT, S100P, IL-1β, and IL-8 aiming to detect early-stage oral squamous cell carcinoma (OSCC). These biomarkers show potential as indicators for detecting both pre-cancerous and cancerous states within the...
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Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-75735-0 |
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| author | Kalpani Senevirathna Thilini Anupama Nanayakkarawasam Mahakapuge Nadeeka U. Jayawardana Jayanthe Rajapakse Chandrika Udumalagala Gamage Bimalka Seneviratne Unil Perera Kehinde Kazeem Kanmodi Ruwan Duminda Jayasinghe |
| author_facet | Kalpani Senevirathna Thilini Anupama Nanayakkarawasam Mahakapuge Nadeeka U. Jayawardana Jayanthe Rajapakse Chandrika Udumalagala Gamage Bimalka Seneviratne Unil Perera Kehinde Kazeem Kanmodi Ruwan Duminda Jayasinghe |
| author_sort | Kalpani Senevirathna |
| collection | DOAJ |
| description | Abstract The research examined the salivary concentrations of various biomarkers, such as OAZ1, SAT, S100P, IL-1β, and IL-8 aiming to detect early-stage oral squamous cell carcinoma (OSCC). These biomarkers show potential as indicators for detecting both pre-cancerous and cancerous states within the oral cavity. Analyzing these specific molecules in saliva could help clinicians enhance diagnostic accuracy and refine early detection methods for OSCC. The research encompassed a cohort of nine OSCC patients, ten with oral submucous fibrosis (OSF), eleven individuals with oral lichen planus (OLP), and ten healthy controls. The study focused on assessing the expression levels of key biomarkers—IL-1β, IL-8, SAT, S100P, and OAZ1 mRNA—in extracellular RNA extracted from saliva samples. This evaluation was conducted using real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) with sequence-specific primers. Additionally, receiver operating characteristic curve (ROC) curve analysis was employed to gauge the efficacy of these biomarkers in detecting OSCC. Based on the results we observe, when these five biomarkers are used together, they give a 90% predictive probability for patients with OLP, an 80% predictive probability for OSF, and an impressive 100% predictive probability for patients with OSCC (AUC = 1.000, p = 0.000). This study demonstrates the efficacy of salivary transcriptome diagnostics in detecting OSCC. This novel clinical technique has the potential to be a powerful, efficient, and reliable tool for early detection of cancer. Salivary transcriptomes can be further analyzed to evaluate their effectiveness in other important illness contexts and for regular health monitoring. |
| format | Article |
| id | doaj-art-eb3fb8d14c384f3685c0de23d4117126 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-eb3fb8d14c384f3685c0de23d41171262024-11-10T12:19:23ZengNature PortfolioScientific Reports2045-23222024-11-0114111110.1038/s41598-024-75735-0Diagnostic potential of salivary IL-1β, IL-8, SAT, S100P, and OAZ1 in oral squamous cell carcinoma, oral submucous fibrosis, and oral lichen planus based on findings from a Sri Lankan cohortKalpani Senevirathna0Thilini Anupama Nanayakkarawasam Mahakapuge1Nadeeka U. Jayawardana2Jayanthe Rajapakse3Chandrika Udumalagala Gamage4Bimalka Seneviratne5Unil Perera6Kehinde Kazeem Kanmodi7Ruwan Duminda Jayasinghe8Department of Biochemistry, Faculty of Medicine, Uva Wellassa UniversityDepartment of Veterinary Pathobiology, Faculty of Veterinary Medicine and Animal Science, University of PeradeniyaDepartment of Agricultural Biology, Faculty of Agriculture, University of PeradeniyaDepartment of Veterinary Pathobiology, Faculty of Veterinary Medicine and Animal Science, University of PeradeniyaDepartment of Biochemistry, Faculty of Medical Sciences, University of Sri JayewardenepuraDepartment of Pathology, Faculty of Medical Sciences, University of Sri JayewardenepuraDepartment of Physics and Astronomy, Georgia State UniversityFaculty of Dentistry, University of PuthisastraDepartment of Oral Medicine and Periodontology, Faculty of Dental Sciences, University of PeradeniyaAbstract The research examined the salivary concentrations of various biomarkers, such as OAZ1, SAT, S100P, IL-1β, and IL-8 aiming to detect early-stage oral squamous cell carcinoma (OSCC). These biomarkers show potential as indicators for detecting both pre-cancerous and cancerous states within the oral cavity. Analyzing these specific molecules in saliva could help clinicians enhance diagnostic accuracy and refine early detection methods for OSCC. The research encompassed a cohort of nine OSCC patients, ten with oral submucous fibrosis (OSF), eleven individuals with oral lichen planus (OLP), and ten healthy controls. The study focused on assessing the expression levels of key biomarkers—IL-1β, IL-8, SAT, S100P, and OAZ1 mRNA—in extracellular RNA extracted from saliva samples. This evaluation was conducted using real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) with sequence-specific primers. Additionally, receiver operating characteristic curve (ROC) curve analysis was employed to gauge the efficacy of these biomarkers in detecting OSCC. Based on the results we observe, when these five biomarkers are used together, they give a 90% predictive probability for patients with OLP, an 80% predictive probability for OSF, and an impressive 100% predictive probability for patients with OSCC (AUC = 1.000, p = 0.000). This study demonstrates the efficacy of salivary transcriptome diagnostics in detecting OSCC. This novel clinical technique has the potential to be a powerful, efficient, and reliable tool for early detection of cancer. Salivary transcriptomes can be further analyzed to evaluate their effectiveness in other important illness contexts and for regular health monitoring.https://doi.org/10.1038/s41598-024-75735-0Salivary biomarkersOral cancermRNASalivaPrecancer |
| spellingShingle | Kalpani Senevirathna Thilini Anupama Nanayakkarawasam Mahakapuge Nadeeka U. Jayawardana Jayanthe Rajapakse Chandrika Udumalagala Gamage Bimalka Seneviratne Unil Perera Kehinde Kazeem Kanmodi Ruwan Duminda Jayasinghe Diagnostic potential of salivary IL-1β, IL-8, SAT, S100P, and OAZ1 in oral squamous cell carcinoma, oral submucous fibrosis, and oral lichen planus based on findings from a Sri Lankan cohort Scientific Reports Salivary biomarkers Oral cancer mRNA Saliva Precancer |
| title | Diagnostic potential of salivary IL-1β, IL-8, SAT, S100P, and OAZ1 in oral squamous cell carcinoma, oral submucous fibrosis, and oral lichen planus based on findings from a Sri Lankan cohort |
| title_full | Diagnostic potential of salivary IL-1β, IL-8, SAT, S100P, and OAZ1 in oral squamous cell carcinoma, oral submucous fibrosis, and oral lichen planus based on findings from a Sri Lankan cohort |
| title_fullStr | Diagnostic potential of salivary IL-1β, IL-8, SAT, S100P, and OAZ1 in oral squamous cell carcinoma, oral submucous fibrosis, and oral lichen planus based on findings from a Sri Lankan cohort |
| title_full_unstemmed | Diagnostic potential of salivary IL-1β, IL-8, SAT, S100P, and OAZ1 in oral squamous cell carcinoma, oral submucous fibrosis, and oral lichen planus based on findings from a Sri Lankan cohort |
| title_short | Diagnostic potential of salivary IL-1β, IL-8, SAT, S100P, and OAZ1 in oral squamous cell carcinoma, oral submucous fibrosis, and oral lichen planus based on findings from a Sri Lankan cohort |
| title_sort | diagnostic potential of salivary il 1β il 8 sat s100p and oaz1 in oral squamous cell carcinoma oral submucous fibrosis and oral lichen planus based on findings from a sri lankan cohort |
| topic | Salivary biomarkers Oral cancer mRNA Saliva Precancer |
| url | https://doi.org/10.1038/s41598-024-75735-0 |
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