Oral Cancer Research Articles

Prognostic Significance of Tumor-Stroma Ratio (TSR) in Head and Neck Squamous Cell Carcinoma: Systematic Review and Meta-Analysis.

The management of head and neck squamous cell carcinoma (HNSCC) relies heavily on TNM staging and WHO histologic grading; however, in recent years, the analysis of prognostic markers expressed in the tumor stroma has gained attention. The tumor-stroma ratio (TSR) quantifies the proportion of tumor tissue relative to the surrounding stromal tissue; it is assessed with the percentage of stromal tissue within the tumor area, with a cutoff point of 50% being widely used to discriminate high-stroma cancer. In this systematic review and meta-analysis, we investigated the potential prognostic role of the TSR in HNSCC. After a literature screening, 24 studies dealing with the TSR and survival outcomes were included. The TSR showed a significant association with overall survival (OS) in both unadjusted and adjusted measures (RR 2.04, CI 1.57-2.65, p < 0.01; HR 2.36 CI 1.89-2.94, p < 0.00001), with an even stronger prognostic potential in oral cavity/oral tongue cancers (RR 2.44 CI 1.84-3.22, p < 0.00001). The TSR also showed prognostic value when dealing with cancer-specific survival and was associated with a reduction in disease-free survival (DFS). In particular, the TSR also retained its prognostic role in terms of DFS when specifically considering early-stage cancers in both unadjusted and adjusted analyses (RR 1.81 CI 1.57-2.10, p < 0.00001; HR 2.09 CI 1.58-2.76, p < 0.00001). Therefore, we conclude that the TSR is a reliable prognostic marker that is easy to assess in routine histological slides and can be effectively implemented in the routine evaluation of HNSCC.

Molecular Targets of Plant-Derived Bioactive Compounds in Oral Squamous Cell Carcinoma.

With a significant increase in both incidence and mortality, oral cancer-particularly oral squamous cell carcinoma (OSCC)-is one of the main causes of death in developing countries. Even though there is evidence of advances in surgery, chemotherapy, and radiotherapy, the overall survival rate for patients with OSCC has improved, but by a small percentage. This may be due, on the one hand, to the fact that the disease is diagnosed when it is at a too-advanced stage, when metastases are already present. This review explores the therapeutic potential of natural herbal products and their use as adjuvant therapies in the treatment of oral cancer from online sources in databases (PubMed, Web of Science, Google Scholar, Research Gate, Scopus, Elsevier). Even if classic therapies are known to be effective, they often produce many serious side effects and can create resistance. Certain natural plant compounds may offer a complementary approach by inducing apoptosis, suppressing tumor growth, and improving chemotherapy effectiveness. The integration of these compounds with conventional treatments to obtain remarkable synergistic effects represents a major point of interest to many authors. This review highlights the study of molecular mechanisms and their efficiency in in vitro and in vivo models, as well as the strategic ways in which drugs can be administered to optimize their use in real contexts. This review may have a significant impact on the oncology community, creating new inspirations for the development of more effective, safer cancer therapies with less toxic potential.

How peptides from venomous and poisonous animals can be used to treat oral cancer: possible mechanisms of action

How peptides from venomous and poisonous animals can be used to treat oral cancer: possible mechanisms of action

Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological images

Oral Squamous Cell Carcinoma (OSCC) causes a severe challenge in oncology due to the lack of diagnostic devices, leading to delays in detecting the disorder. The OSCC diagnosis through histopathology demands a pathologist expert because the cellular presentation is variable and highly complex. Existing diagnostic approaches for OSCC have specific efficiency and accuracy restrictions, highlighting the necessity for more reliable techniques. The increase of deep neural networks (DNN) model and their applications in medical imaging have been instrumental in disease diagnosis and detection. Automatic detection systems using deep learning (DL) approaches show tremendous promise in investigating medical imagery with speed, efficiency, and accuracy. In terms of OSCC, this system allows the diagnostic method to be streamlined, facilitating earlier diagnosis and enhancing survival rates. Automatic analysis of histopathological image (HI) can assist in accurately detecting and identifying tumorous tissue, reducing diagnostic turnaround times and increasing the efficacy of pathologists. This study presents a Squeeze-Excitation with Hybrid Deep Learning for Oral Squamous Cell Carcinoma Recognition (SEHDL-OSCCR) on HIs. The presented SEHDL-OSCCR technique mainly focuses on detecting oral cancer (OC) using hybrid DL models. The bilateral filtering (BF) technique is initially used to remove the noise. Next, the SEHDL-OSCCR technique employs the SE-CapsNet model to recognize the feature extractors. An improved crayfish optimization algorithm (ICOA) technique is utilized to improve the performance of the SE-CapsNet model. At last, the classification of the OSCC technique is performed by employing a convolutional neural network with a bidirectional long short-term memory (CNN-BiLSTM) model. The simulation results obtained using the SEHDL-OSCCR technique are investigated using a benchmark medical image dataset. The experimental validation of the SEHDL-OSCCR technique illustrated a greater accuracy outcome of 98.75% compared to recent approaches.

Natural compounds targeting miRNAs: a novel approach in oral cancer therapy.

Oral cancer (OC) is a significant global health issue, with high rates of both mortality and morbidity. Conventional treatments, including surgery, radiation, and chemotherapy, are commonly used, but they often come with serious side effects and may not fully eliminate cancer cells, resulting in recurrence and resistance to treatment. In recent years, natural products derived from plants and other biological sources have gained attention for their potential anticancer properties. These compounds offer advantages such as lower toxicity compared to traditional chemotherapy. Notable natural compounds like quercetin, berberine, curcumin, andrographolide, nimbolide, ovatodiolide, and cucurbitacin B have demonstrated effectiveness in inhibiting OC cell growth by targeting various signaling pathways involved in cancer progression. Recent breakthroughs in molecular biology have highlighted the crucial role of microRNAs (miRNAs) in the development of OC. Targeting dysregulated miRNAs with natural products offers a promising strategy for treating the disease. Natural compounds exert anticancer effects by influencing both altered cellular signaling pathways and miRNA expression profiles. This study aims to explore the role of miRNAs as potential molecular targets in OC and to investigate how natural products may regulate these miRNAs. Additionally, this review will shed light on the therapeutic potential of phytochemicals in modulating miRNA expression and their significance in OC treatment.

Innovative Progress: Artificial Intelligence in the Realm of Oral Cancer

: In recent years, there has been a notable increase in the global incidence of oral cancer, leading to significant morbidity and mortality, especially when diagnosed at advanced stages. The integration of technology holds great promise for early detection and diagnosis, facilitating improved patient management for clinicians. The emergence of artificial intelligence (AI) presents a potential breakthrough in oral cancer screening, as it can meticulously analyze vast datasets from various imaging modalities, offering valuable support in the field of oncology. This review focuses on a spectrum of AI techniques utilized for early detection and diagnosis of oral cancer. Additionally, AI techniques may be employed for the effective treatment of oral cancer. Using the abundance of information acquired, this article provides an in-depth overview and discussion of AI's value and benefits in oral cancer screening, early detection, disease prediction, and therapy, among other areas. Furthermore, it identifies present limits and forecasts the hopeful future of AI in oral cancer research.

Prognostic significance of adjuvant therapy and specific radiation dosages in Taiwanese patients with oral cavity cancer and extra-nodal extension: a nationwide cohort study

BackgroundThe evidence for adjuvant chemoradiotherapy (CRT) of oral cavity squamous cell carcinoma (OCSCC) with extra-nodal extension (ENE) in National Comprehensive Cancer Network (NCCN) guidelines is derived from patients with head and neck cancer. The guidelines further suggest a radiation dose ranging from 6000 to 6600 cGy. In this nationwide study, we sought to evaluate the prognostic significance of adjuvant therapy and the specific radiation dosage in Taiwanese patients with pure OCSCC and ENE.MethodsA retrospective analysis of 1577 OCSCC patients with ENE who underwent resection and received adjuvant CRT or radiotherapy (RT) between January 2011 and December 2020 was conducted.ResultsMultivariable analysis revealed that adjuvant RT, more than four pathologically positive nodes, and radiation dosage below 6000 cGy were independent risk factors for unfavorable 5-year disease-specific survival (DSS) and overall survival (OS). Comparing patients who received CRT (n = 1453) to those treated with RT (n = 124) before and after propensity score (PS) matching, the 5-year outcomes were as follows: before PS matching, DSS (54% versus 30%, p < 0.0001), OS (42% versus 18%, p < 0.0001); after PS matching (n = 111 in each group), DSS (52% versus 30%, p = 0.0016), OS (38% versus 21%, p = 0.0019). For patients who underwent CRT, the 5-year outcomes for different radiation dose groups (6600 − 7000 cGy, n = 1155 versus 6000 − 6500 cGy, n = 199) were as follows: before PS matching, DSS (52% versus 54%, p = 0.1904), OS (43% versus 46%, p = 0.1610); after PS matching (n = 199 in each group), DSS (55% versus 54%, p = 0.8374), OS (46.5% versus 46.3%, p = 0.7578).ConclusionsFor OCSCC patients with ENE, our study shows CRT improved survivals than RT alone, underscoring the clinical significance of chemotherapy. Patients undergoing CRT with irradiation doses ranging from 6000 to 6500 cGy exhibited comparable survival outcomes to those receiving doses of 6600–7000 cGy. This observation suggests that irradiation doses exceeding the 6600 cGy may not confer the survival advantage in these patients. Further research is needed to confirm our results and explore the optimal irradiation dose for managing these patients.

Incidence of head and neck cancer among Baquba Teaching Hospital Patients

Background: Squamous cells lining the tissues of the head and neck region, such as the nasal cavity, paranasal sinuses, oral cavity, lip, salivary glands, and hypopharynx, give growth to a group of malignancies together recognized as squamous cell carcinoma of the head and neck, which is the seventh utmost communal cancer diagnosis around the world. Objective: Determine the prevalence of head and neck cancer in Diyala province during 2022-2023 and their distribution according to age and gender of patients. In addition, this study aimed to identify the numbers of each type of head and neck cancer. Patients and Methods: A retrospective study achieved on the prevalence of head and neck cancer in the region accomplished in oncology center of Baquba teaching hospital in Diyala province, Iraq. Head and neck cancer patients recorded from 2022 to 2023. During this dated, a total of 172 patients were recorded. A search was accomplished on numerous databases, moreover, the information evaluated by age, gender and cancer type. Results: Regarding patients during 2022 (first group) which is contained of (94) patients with different head and neck cancer, 38(40.4%) were males and 56(59.6%) were females with statistically significant relationship. The patients during 2023 (second group) comprises of (78) patients with different head and neck cancer, 43(50.1%) were men and 35(44.9%) were women with statistically no significant correlation. Conclusion: Oral and pharyngeal cancer is more common in men than in women. The most common age group is 4th and 5th decade for head and neck cancer.

Insilico Identification of Association between Nicotine Dependence and Pathogenic Missense Mutations of Catechol-O-Methyltransferase Gene

Introduction: Oral cancers are known to be strongly associated with the usage of tobacco, which is majorly composed of nicotine. Genetic studies evidenced the nicotine addiction as hereditary. AIM: The aim of the present study is to analyse any genetically functional missense mutations in Catechol-O-methyl-transferase (COMT) gene and derive an association with nicotine dependence that might influence tobacco habit initiation, addiction, and cessation. Methodology: The study involved an insilico analysis about the association between COMT gene and nicotine dependence. This was done with the help of different databases available in website. Initially, database called Ensembl (https://asia.ensembl.org) was used to pool the genetic data on missense mutations of the human COMT gene. The collected data was then fed into computational tools such as SIFT, PolyPhen, PROVEAN, I-Mutant, MutPred to discover the pathogenic mutations if exists. Results: Among 78 missense mutations collected, 74 were identified as damaging variants in which 8 variants were found to cause increased protein stability and 66 were found to cause decreased protein stability. Among those 66 missense variants causing decreased protein stability, 25 variants were identified as highly pathogenic while 19 variants were identified as pathogenic. Conclusion: The in-silico analysis discovered the existence of highly pathogenic mutations in COMT gene which might have a strong association with nicotine dependence that can influence the tobacco habit initiation, addiction, and cessation.

Utilizing laser therapy to manage oral potentially malignant disorders in older adults at the primary care level.

Oral lesions are a significant concern among older adults because they can progress to oral cancer if not diagnosed and treated promptly and effectively. Transportation to the hospital is a major barrier to oral healthcare for many older adults. The purpose of this editorial is to address the challenges of managing oral potentially malignant disorders in the older population, highlighting the barriers they face in accessing healthcare services, the potential use of laser therapy for management, and the direction of research in this area. Due to the limited access of the older to healthcare services, primary healthcare facilities within communities serve as their primary providers. Laser therapy is recommended for the management of oral potentially malignant disorders due to its favorable outcomes. This approach has been tested in several primary healthcare centers in Thailand. In our project, laser therapy was used to treat oral potentially malignant disorders in primary and secondary healthcare services. This includes photodynamic therapy for older patients with extensive lesions, as well as individuals with oral leukoplakia and erythroplakia who have declined curative surgery. It has also been used in cases of recalcitrant lichen planus to steroid or photobiomodulation therapy. This approach has been well accepted by both oral healthcare providers and patients. To expand access to these treatment options in such settings, it is critical to empower healthcare professionals, particularly dentists and dental nurses, to integrate laser techniques into geriatric care and oral cancer screening. Establishing a network foundation for orofacial laserology would also enhance the potential of such settings.

Diagnostic and Prognostic Accuracy of MMPs and TIMPs in Oral Cancer Patients on Enzyme-Linked Immunosorbent Assay (ELISA) as Compared to Immunohistochemistry (IHC)

Diagnostic and Prognostic Accuracy of MMPs and TIMPs in Oral Cancer Patients on Enzyme-Linked Immunosorbent Assay (ELISA) as Compared to Immunohistochemistry (IHC)

Evaluating different samples & techniques for hr-HPV DNA genotyping to improve the efficiency of risk profiling for oral & cervical cancers in Sikkim, India.

Background & objectives Oral and genital HPV infection in men may be a source of cervical diseases in their women partners as well as disease in themselves. This study aimed to evaluate and compare the performance of Hybrid Capture 2 (HC2) in physician-collected cervical samples and qPCR in self-collected urine and oral gargle samples of women and men, respectively, for hr-HPV infection status and genotyping. Methods One thousand and two hundred biological samples were collected from 200 women (urine, oral gargle, and cervical smear) and 200 men (urine and oral gargle) visiting a referral hospital in the remote Himalayan State of Sikkim. The extracted genomic DNA from urine and gargle samples were profiled for hr-HPV genotypes using quantitative polymerase chain reaction (qPCR) and HC2 for cervical samples. Results In women, hr-HPV was detected in 17.5 per cent of cervical samples by HC2, 25.5 per cent of urine, and 7 per cent of gargle samples by qPCR. For men, hr-HPV was detected in 8 per cent urine and 5 per cent gargle samples by qPCR. Among the HPV-positive women, 56 per cent of urine samples and 20 per cent of oral samples showed single-genotype infection, while the remaining had multiple genotypes. Amongst the HPV-positive men, 62.7 per cent of urine samples and 85.7 per cent of oral samples showed single-genotype infection while the remaining had multiple genotypes. Compared to Pap, the area under ROC was good for HC2 (AUC=0.89) and for qPCR (AUC= 0.852). Interpretation & conclusions HC2 for cervical and qPCR-based HPV DNA assay for urine and gargle sample is suitable for risk profiling for cervical cancer (CC) and oral cancer (OC) screening programmes.

Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease

AimDue to conventional endocrinological methods, there is presently no shared work available, and no therapeutic options have been demonstrated in oral cancer (OC) and periodontal disease (PD), type 2 diabetes (T2D), and obese patients. The aim of this study is to determine the similar molecular pathways and potential therapeutic targets in PD, OC, T2D, and obesity that may be used to anticipate the progression of the disease. MethodsFour Gene Expression Omnibus (GEO) microarray datasets (GSE29221, GSE15773, GSE16134, and GSE13601) are used for finding differentially expressed genes (DEGs) for T2D, obese, and PD patients with OC in order to explore comparable pathways and therapeutic medications. Gene ontology (GO) and pathway analysis were used to investigate the functional annotations of the genes. The hub genes were then identified using protein-protein interaction (PPI) networks, and the most significant PPI components were evaluated using a clustering approach. ResultsThese three gene expression-based datasets yielded a total of seven common DEGs. According to the GO annotation, the majority of the DEGs were connected with the microtubule cytoskeleton structure involved in mitosis. The KEGG pathways revealed that the concordant DEGs are connected to the cell cycle and progesterone-mediated oocyte maturation. Based on topological analysis of the PPI network, major hub genes (CCNB1, BUB1, TTK, PLAT, and AHNAK) and notable modules were revealed. This work additionally identified the connection of TF genes and miRNAs with common DEGs, as well as TF activity. ConclusionPredictive drug analysis yielded concordant drug compounds involved with T2D, OC, PD, and obesity disorder, which might be beneficial for examining the diagnosis, treatment, and prognosis of metabolic disorders and Oral cancer.

Teledentistry in the detection of oral potentially malignant disorders and oral cancer in the Latin American region: a review of literature with current possibilities

Teledentistry has emerged as a promising tool in bridging the gap in healthcare accessibility, particularly in regions like Latin America region, where resources for oral healthcare are often limited. Drawing upon a comprehensive review of literature, this overview assessed the applications and clinical outcomes of teledentistry in diagnosing oral potentially malignant disorders (OPMDs) and oral cancer, highlighting the challenges and opportunities specific to the Latin American context. Moreover, it examined the integration of artificial intelligence algorithms and teledentistry for enhancing diagnostic accuracy, thereby optimizing resource allocation and improving patient outcomes. By elucidating the current landscape and future prospects, this overview provided insights for policymakers, healthcare providers, and researchers, fostering advancements in oral healthcare delivery with the aim of reducing the burden of OPMDs and oral cancer in the Latin American region.

The oral microbiome of children in health and disease-a literature review.

The oral microbiome is a complex community of microorganisms residing in the oral cavity interacting with each other and with the host in a state of equilibrium. Disruptions in this balance can result in both oral and systemic conditions. Historically, studying the oral microbiome faced limitations due to culture-dependent techniques that could not capture the complexity and diversity of the microbial community. The emergence of advanced genomic technologies and the ease of sample collection from the oral cavity has revolutionized the understanding of the oral microbiome, providing valuable insights into the bacterial community in both health and disease. This review explores the oral microbiome in children, discussing its formation and dynamics in both states of health and disease, its role in various conditions such as dental caries, periodontal disease, oral cancer, cleft lip and palate, and explores its connection to several systemic consequences.

Factors influencing delayed cancer health seeking in Meghalaya, Northeast India: A qualitative study.

Background & objectives India accounts for about seven per cent of the global cancer burden with the highest cancer incidence reported from the North-Eastern Region (NER), including Meghalaya. Despite this, there is paucity of published studies on health seeking behaviour for cancer in the NER. To address this gap, this study used a qualitative approach to document patient, caregiver and provider perspectives to understand the factors influencing healthcare seeking for cancers in Meghalaya. Methods In-depth interviews were undertaken with 37 individuals diagnosed with one of the top five cancers in Meghalaya, namely, oesophageal, breast, oral, cervical and lung cancer. They were identified from the State referral cancer hospital. Twelve caregivers and five healthcare providers were also interviewed. All interviews were conducted in the local language using semi-structured interview guides. Transcripts were translated to English, coded, categorized and analyzed using thematic framework content analysis approach. Results A key factor influencing delayed cancer treatment in Meghalaya included misconceptions regarding the causes of cancer and cultural concepts such as bih and skai (Khasi language), i.e. notions of a figurative 'poison' or ill intent that makes one susceptible to illness. A general reluctance to discuss cancer diagnoses, perceived stigma, apprehension of treatment methods influenced their decision. Other factors included negligence and misinterpretation of early symptoms of cancer, self-management, preference for traditional medicines, financial constraints and health system-related factors. Interpretation & conclusions This study underscores the importance of addressing barriers to cancer diagnosis and treatment in indigenous populations in northeast India, advocating for culturally appropriate messaging, capacity building for healthcare workers, integration of traditional healers, and community involvement to enhance early healthcare seeking and improve outcomes.

Melatonin and vitamin D as potential synergistic adjuvants for cancer therapy (Review).

Significant advancements have been made in cancer therapy; however, limitations remain with some conventional approaches. Adjuvants are agents used alongside primary treatments to enhance their efficacy and the treatment outcomes of patients. Modern lifestyles contribute to deficiencies in melatonin and vitamin D. Limited sun exposure affects vitamin D synthesis, and artificial light at night suppresses melatonin production. Both melatonin and vitamin D possess anti‑inflammatory, immune‑boosting and anticancer properties, rendering them potential adjuvants of interest. Studies suggest melatonin and vitamin D supplementation may address antioxidant imbalances in lip, oral and pharyngeal cancers. Moreover, promising results from breast, head and neck, brain, and osteosarcoma research indicate potential for tumor growth inhibition, improved survival, and a better quality of life of patients with cancer. The radioprotective properties of melatonin and vitamin D are another exciting area of exploration, potentially enhancing radiotherapy effectiveness while reducing side effects. For its part, the sleep‑promoting effects of melatonin may indirectly benefit patients with cancer by influencing the immune system. Thus, the prevalence of vitamin D and melatonin deficiencies highlights the importance of supplementation, as lower levels can worsen side‑effects from cancer treatments. The present review explores the potential of combining melatonin and vitamin D as synergistic adjuvants for cancer therapy. These agents have shown promise individually in cancer prevention and treatment, and their combined effects warrant investigation. Therefore, large‑scale controlled trials are crucial to definitively determine the optimal dosage, safety and efficacy of this combination in improving the lives of patients with cancer.

Smokeless Tobacco: A Comprehensive Review of Molecular Effects, Societal Perception, and Cessation Strategies

Smokeless tobacco (ST) is an alternative to smoking, which involves not the burning of tobacco. Although ST has been used for thousands of years, its health effects are not well characterized, and it is the subject of misconceptions throughout society. Therefore, it is crucial to identify the risks associated with ST use. We conducted a comprehensive search of the scientific literature to identify studies reporting associations between tobacco chewing and the risk of oral cancer and premalignant lesions. Our review discusses the molecular mechanisms associated with ST components, along with the role of ST use in speech impairment and cancer progression. We also examine the effectiveness of tobacco cessation strategies and review the existing perceptions held by ST consumers. Our findings indicate significant health risks associated with ST use, including increased cancer risk and speech impairments. As societal perceptions and misconceptions about ST are important factors that influence its use, there is a need for comprehensive public awareness campaigns to correct these misconceptions and to promote healthier lifestyle choices. We call for further research to improve cessation interventions and to increase public awareness of relevant research discoveries. By providing a thorough discussion of the health impacts of ST, we aim to inform policy decisions and public health strategies to reduce the prevalence of ST use.

A Dual Approach by Nanostructured α-Mangostin-Copper Oxide Complexes Against Dental Pathogen Biofilms and Oral Cancer via Apoptosis Gene Modulation.

The development of effective treatments for dental pathogens and oral cancer remains a significant challenge. Copper oxide nanoparticles (CuO NPs) are recognized for their strong antimicrobial properties, attributed to the synthesis of oxygen-dependent radicals. α-Mangostin (MG), a natural xanthone from mangosteen fruit, is well-known for its antioxidant, antimicrobial, and anticancer potential. Antioxidant activity was assessed using superoxide anion and hydroxyl radical anion. The anticancer potential was evaluated by examining apoptosis induction in oral cancer cell lines, focusing on the expression of key apoptotic markers such as Caspase-3, Caspase-8, and FasL. Molecular docking simulations were performed to understand the interaction between MG and biofilm receptors. The CuO-MG NPs evidenced significant antimicrobial efficacy against all tested oral pathogens, with enhanced efficacy attributed to the combined effects of CuO-induced oxidative stress and the antimicrobial properties of MG. Molecular docking studies revealed strong binding affinities of MG to key biofilm receptors, disrupting pathogen adhesion and biofilm formation. CuO-MG NPs demonstrate synergistic antimicrobial, antioxidant, and anticancer properties, offering a potential approach for the management of oral infections and oral cancer. Further preclinical and clinical studies are recommended to ensure their safety and stability in medical applications.

MiRNA in Machine-Learning-Based Diagnostics of Oral Cancer.

MicroRNAs (miRNAs) are crucial regulators of gene expression, playing significant roles in various cellular processes, including cancer pathogenesis. Traditional cancer diagnostic methods, such as biopsies and histopathological analyses, while effective, are invasive, costly, and require specialized skills. With the rising global incidence of cancer, there is a pressing need for more accessible and less invasive diagnostic alternatives. This research investigates the potential of machine-learning (ML) models based on miRNA attributes as non-invasive diagnostic tools for oral cancer. Methods and Tools: We utilized a comprehensive methodological framework involving the generation of miRNA attributes, including sequence characteristics, target gene associations, and cancer-specific signaling pathways. The miRNAs were classified using various ML algorithms, with the BayesNet classifier demonstrating superior performance, achieving an accuracy of 95% and an area under receiver operating characteristic curve (AUC) of 0.98 during cross-validation. The model's effectiveness was further validated using independent datasets, confirming its potential clinical utility. Our findings highlight the promise of miRNA-based ML models in enhancing early cancer detection, reducing healthcare burdens, and potentially saving lives. This study paves the way for future research into miRNA biomarkers, offering a scalable and adaptable diagnostic approach for various cancers.