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NCT02581137
This phase IIa trial studies how well metformin hydrochloride works in preventing oral cancer in patients with an oral premalignant lesion (oral leukoplakia or erythroplakia). Oral premalignant lesions look like red or whitish plaques or lesions in the mouth that do not rub off and can be associated with a higher risk of cancer. Metformin hydrochloride may help prevent oral cancer from forming in patients with an oral premalignant lesion.
NCT07331935
Oral leukoplakia (OL) is recognized as the most common potentially malignant disorder of the oral mucosa. The pathogenesis of OL is complex and multifactorial, with oxidative stress playing a central role. Topical antioxidants have gained attention as therapeutic options to help stabilize lesions and potentially prevent malignant transformation. Both CoQ10 and curcumin have demonstrated a clinical success as strong antioxidants showing their capacity to reduce the lesion size and to stabilize the disease, ultimately preventing progression into oral malignancy. Aim: This study aims to clinically and biochemically assess the effectiveness of topical Coenzyme Q10 and Curcumin in the management of homogeneous oral leukoplakia.
NCT07318922
Oral potentially malignant disorders (OPMDs) are mucosal lesions that carry a risk of malignant transformation into oral cancer. Unfortunately, a general lack of knowledge and awareness of OPMDs is common among general dental practitioners. While thorough clinical examinations coupled with biopsy can identify most OPMDs, the absence of reliable non-invasive diagnostic tools and standardized risk stratification often delays early diagnosis and treatment of oral squamous cell carcinoma (OSCC).Early detection of suspicious oral lesions is crucial for reducing OSCC-related mortality and improving patient outcomes. Histopathological assessment of biopsied tissue remains the gold standard for diagnosis. However, since biopsy is invasive and may be associated with patient discomfort; numerous noninvasive diagnostic technologies have emerged to enhance the detection and diagnosis of oral mucosal lesions.Toluidine blue (TB) staining is one such adjunctive tool, where the degree of color retention aids in lesion characterization. Dark blue staining is considered positive for lesions highly suspicious for malignancy; light blue retention is considered positive for premalignant lesions pending histopathological confirmation, while lesions showing no stain retention are classified as negative.Exfoliative cytology represents another non-invasive diagnostic approach, wherein cells obtained via brushing the oral mucosa are spread on a slide for cytological evaluation. This technique, widely accepted and increasingly utilized, has proven valuable for early cancer detection. Notably, confocal microscopy has demonstrated high sensitivity and specificity (93%) in detecting malignant cells in exfoliative cytology specimens. Currently, TB staining and confocal microscopy remain the most commonly utilized non-invasive screening techniques in clinical practice.In recent years, artificial intelligence (AI) applications have shown remarkable promise in oncology, achieving high diagnostic accuracy across various cancer types. Deep learning models, in particular, offer exceptional performance, suggesting that AI-based solutions may be feasible for widespread community screening programs following further validation. In many cases, AI models have produced diagnostic outcomes that match or surpass those of experienced pathologists. Moreover, the combined application of AI with expert human evaluation has been shown to reduce diagnostic errors and improve diagnostic precision, particularly for poorly differentiated tumors and rare cases.Several studies have been done using different AI Models and revealed a promising application of AI in diagnosing OPMDs and cancers in different body sites.
NCT05727761
This is a Phase IIa oral cavity leukoplakia study of pioglitazone 15mg and metformin 500mg BID for 12 weeks. The primary objective is to determine the clinical and histologic changes of leukoplakia from baseline following a 12 week course of twice daily pioglitazone-metformin. Outcomes are defined as are a reduction of the leukoplakia grade in \> 50% of treated participants and a partial or complete clinical response defined as 50% or greater reduction in the sum of measured targeted lesions. In addition, participants who show clinical and histologic improvement should correlate with a significant reduction of Ki-67 proliferative indices in lesions of these participants as compared to baseline.
NCT06321003
This clinical trial aims to assess the efficacy of Optical Coherence Tomography (OCT) in the early diagnosis of oral cancer. It focuses on Oral Potentially Malignant Disorders (OPMDs) as precursors to Oral Squamous Cell Carcinoma (OSCC). Despite the availability of oral screening, diagnostic delays persist, underscoring the importance of exploring non-invasive methodologies. The OCT technology provides cross-sectional analysis of biological tissues, enabling a detailed evaluation of ultrastructural oral mucosal features. The trial aims to compare OCT preliminary evaluation with traditional histology, considered the gold standard in oral lesion diagnosing. It seeks to create a database of pathological OCT data, facilitating the non invasive identification of carcinogenic processes. The goal is to develop a diagnostic algorithm based on OCT, enhancing its ability to detect characteristic patterns such as the keratinized layer, squamous epithelium, basement membrane, and lamina propria in oral tissues affected by OPMDs and OSCC. Furthermore, the trial aims to implement Artificial Intelligence (AI) in OCT image analysis. The use of machine learning algorithms could contribute to a faster and more accurate assessment of images, aiding in early diagnosis. The trial aims to standardize the comparison between in vivo OCT images and histological analysis, adopting a site-specific approach in biopsies to improve correspondence between data collected by both methods. In summary, the trial not only evaluates OCT as a diagnostic tool but also aims to integrate AI to develop a standardized approach that enhances the accuracy of oral cancer diagnosis, providing a significant contribution to clinical practice.
NCT05942794
The aim of the study will be to evaluate the efficacy of a tissue autofluorescence detection system as an aid to clinical screening in identifying lesions of the oral mucosa. The screening process will be performed by 3 clinicians with a different level of experience. Sensitivity and specificity tests will be conducted.
NCT06256809
Aims: To evaluate the qualitative and quantitative parameters of finger and palmar dermatoglyphic patterns in patients with oral premalignant and malignant lesions OBJECTIVES: 1. To record and study the palmar and fingerprint patterns in patients with oral premalignant and malignant lesions 2. To assess the variations in patterns of dermatoglyphic features between cases and controls and to observe the significant result. 3\. To evaluate which dermatoglyphic pattern is predominant among patients with premalignant and malignant lesions. Materials and METHODS: Fingerprints and palm prints were studied in 160 patients, who were randomly divided into four groups: A. 40 patients with a history of areca nut /tobacco intake with the occurrence of the premalignant lesion (B) 40 patients with a history of areca nut /tobacco intake with the occurrence of Oral Squamous Cell Carcinoma. (C) As healthy controls, 40 patients with tobacco/areca nut chewing habits, without any evidence of oral lesions (D) 40 patients without any habit, and without any oral lesions. Dermatoglyphic patterns were recorded and analyzed in the four groups using the standard ink method.
NCT04732741
Synucleins are a family of small, highly conserved proteins found in vertebrates and are specially abundant in neurons particularly in presynaptic terminals (Surguchov et al., 2001). Gamma-synuclein is the third member of the synuclein family, and is predominantly found in the cytosol of tumor cells and functions both intra- and extra-cellularly. It is involved in the pathogenesis of different types of cancer and some neurodegenerative diseases (Liu et al., 2018). Smoking - a major risk factor for oral cancer and its progression - and nicotine-containing products were found to time-dependently up-regulate the Gamma-synuclein expression in cancer cells (Hsu et al., 2020a). Gamma-synuclein is released from tumor cells and was found to be elevated in tumors such as urinary bladder cancer (Liu et al., 2016), colorectal cancer, gastric adenocarcinomas and esophageal cancer (Liu et al., 2012). It is present in blood, serum, cerebrospinal fluid and saliva. The detection of extracellular synucleins in body fluids can reveal the first steps of the disease thus it can be used as a potential tool for early cancer detection (Surguchov, 2016). This study aims to identify the diagnostic accuracy of Gamma-synuclein in differentiating between oral malignant lesions and oral premalignant lesions.
NCT04712929
This study aims to determine the correlation between candida and pro- inflammatory cytokines response in Oral Leukoplakia(OL) with antifungal therapy. Ethical clearance from the Institutes ethical committee and Informed written consent from the patient will be obtained. The study group would comprise of clinically and histopathologically confirmed cases of OL (60 patients). The control group would be 30 dental patients ( age \& sex matched) who do not any malignancy, OL or any other potentially malignant disorder of oral mucosa. Patients who have any predisposing factor for oral candidiasis will be excluded from the study. Swabs will be taken from the oral lesion and cultured for candida to determine phenotypes, virulence attributes and antifungal sensitivity. Sterile PVA opthalmic sponges will be used to collect sample from the surface of oral epithelium and then processed to determine levels of pro- inflammatory cytokines (IL-6, IL-8. IL-17, TNFα). This procedure will be repeated in study group 2 weeks after a course of antifungal therapy. The results will be tested statistically at a confidence level of 95%.
NCT04487938
This study will be conducted to obtain data on oral cancer risk factors to generate machine learning models with good predictive accuracy for stratifying individuals with high-oral cancer risk and delineating high-risk and low-risk oral lesions. Likewise, this study will seek to provide oral cancer-related health education and training on oral-self-examination for beneficiaries