Detection Of Oral Squamous Cell Carcinoma Research Articles

The Role of Salivary Micro RNAs as a Diagnostic Marker in Early Detection of Oral Squamous Cell Carcinoma

OBJECTIVE: To assess the diagnostic role of salivary microRNA for early detection oforal squamous cell carcinoma and to compare the salivary microRNA with Biopsy in thediagnosis of oral squamous cell carcinoma.Methodology: The descriptive cross-sectional study was conducted in the department of pathology and molecular laboratory, department of oral & maxillofacial surgery of Liaquat University of Medical Health Sciences, Jamshoro / Hyderabad.Inclusion Criteria: All histopathologicaly diagnosed OSCC patients of both genders with age group 18 years and above will be included in the study after taking their informed consent. Whole saliva samples (inactivated) were collectedfrom subjects diagnosed as OSCC and controls. The subjects were counseled to avoid eating, drinking, smoking or oral procedures for at least 1 h prior to the collection of saliva. Subjects are asked to rinse their mouth well with distilled drinking water for one minute before taking the saliva samples. After five minutes of oral rinsing spit 5 mL of saliva into a 50 mL sterile tube placed on the ice. The tube should remain on ice while collecting the saliva samples. Fourhundred microliters of the whole saliva mixture (200 ?L whole saliva and 200 ?L RNA later),and 400 ?L of the supernatant saliva was used for RNA extraction. Saliva samples wereextracted using the mirVana™ miRNA Isolation Kit according to the manufacturer's guideline(Ambion Inc., Austin, TX). Whole saliva samples were preserved with RN Alater (QIAGENInc., Valencia, CA) and supernatant saliva samples were preserved with SUPE Rase. In™ (Ambion Inc., Austin, TX). The data was entered in the statistical package for social sciences for windows (SPSS) V: 26.RESULTS: A total of 120 samples of oral squamous cell carcinoma were taken, which met theinclusion criteria. Mean age of the patients was 47.45+10.85 years. 85(70.8%) were married and35 (29.2%) were unmarried. 90.0% were married and 5.0% were unmarried, while 5.0% werewidow. Cigarette smoking, paan, chaalia and naswar were the commonest cause of the oralsquamous cell carcinoma. Lips, buccal mucosa and tong were the commonest t sites of the oralsquamous cell carcinoma. 16.7% cases had positive family history of oral squamous cellcarcinoma. Out of all study subjects, most of the cases 59.2% had moderately differentiatedSCC, 30.0% cases had well-differentiated SCC and 10.8% of the cases had poor differentiatedSCC. Out of all study subjects, 87.5% of the patients had positive micro-RNA expression.Micro-RNA expression was significantly associated, with poorly differentiated squamous cellcarcinoma (p=0.016). CONCLUSION: Study revealed that the salivary miroRNA expression were significantlypositive in patients of OSCC. Therefore, salivary microRNA could be considered as a useful andadvantageous biomarker for the detection and tracking of OSCC across various levels of tissueabnormalities

Evaluation of salivary IL-10 and IL-8 as predictive biomarker in patient with oral and oropharyngeal squamous cell carcinoma

Background: The incidence and mortality rates of oral squamous cell carcinoma (OSCC) vary globally, yet the cancer continues to pose significant morbidity and mortality risks. This study sought to assess salivary IL-8 and IL-10 as biomarkers for identifying malignant oral lesions. Methods: Between March 2022 and May 2023, a case-control study at the Dental Center of New Baquba, Diyala, Iraq, collected saliva for IL-8 and IL-10 measurement via ELISA. An independent t-test compared IL-8 and IL-10 means based on age and gender, while ROC analysis gauged specificity and sensitivity. Results: The prevalence of OSCC was evenly distributed across genders, with a higher occurrence among patients aged over 55 years (87.5%). OSCC distribution in the oral cavity indicated the lips as the most affected area (40.0%), followed by the tongue (37.0%), and the hard and soft palate (12.50%). Statistically significant differences were noted in IL-10 and IL-8 levels between the study and control groups across all age brackets, except for IL-8 in the age ≤55 (p ≤ 0.05). Elevated mean levels of IL-10 and IL-8 were observed in the older age group (>55), with IL-10 showing a greater increase in males (71.99±3.6), while IL-8 levels were higher in females. IL-10 demonstrated higher sensitivity (90%) and specificity (60%) with an optimal cutoff point value of 43.29, whereas IL-8 exhibited a sensitivity of 80% and a specificity of 47.5% with an optimal cutoff point value of 44.48. Conclusion: Individuals aged over 55 showed higher IL-10 and IL-8 levels, particularly in males for IL-10 and in females for IL-8. Salivary biomarkers hold promise for early OSCC detection.

Application of metabolomics in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is a prevalent malignancy affecting the head and neck region. The prognosis for OSCC patients remains unfavorable due to the absence of precise and efficient early diagnostic techniques. Metabolomics offers a promising approach for identifying distinct metabolites, thereby facilitating early detection and treatment of OSCC. This review aims to provide a comprehensive overview of recent advancements in metabolic marker identification for early OSCC diagnosis. Additionally, the clinical significance and potential applications of metabolic markers for the management of OSCC are discussed. This review summarizes metabolic changes during the occurrence and development of oral squamous cell carcinoma and reviews prospects for the clinical application of characteristic, differential metabolites in saliva, serum, and OSCC tissue. In this review, the application of metabolomic technology in OSCC research was summarized, and future research directions were proposed. Metabolomics, detection technology that is the closest to phenotype, can efficiently identify differential metabolites. Combined with statistical data analyses and artificial intelligence technology, it can rapidly screen characteristic biomarkers for early diagnosis, treatment, and prognosis evaluations.

L-Methionine and D-Methionine Capped Fluorescent Silicon Quantum Dots Based Probes for Turn on Sensing of Glutathione - A Comparative Study.

Oral Squamous Cell Carcinoma (OSCC), a prevalent type of oral cancer originates in squamous cells that develop due to tobacco use, excess alcohol consumption, human papillomavirus infection, chronic irritation and weakened immune system. When detected early, survival rates of OSCC can be increased to more than 85%. Hence its early detection is crucial for appropriate management. Oxidative stress has a vital role in pathogenesis of various cancers including OSCC. Early detection of OSCC can be done by exploring serum Glutathione (GSH); an oxidative stress biomarker. Herein, we have developed two Silicon quantum dots (SiQDs); (L-methionine capped Silicon quantum dots (LSiQDs) and D-methionine capped Silicon quantum dots (DSiQDs)) and their fluorescence was quenched with Cu2+. The obtained Cu@LSiQDs and Cu@DSiQDs were then explored and compared for sensing GSH. Both the SiQDs were checked for selectivity and interference studies using coexisting biomolecules extended for sensing GSH from real samples. Moreover, a paper strip assay was also developed and compared.

Artificial intelligence for oral squamous cell carcinoma detection based on oral photographs: A comprehensive literature review.

Oral squamous cell carcinoma (OSCC) presents a significant global health challenge. The integration of artificial intelligence (AI) and computer vision holds promise for the early detection of OSCC through the analysis of digitized oral photographs. This literature review explores the landscape of AI-driven OSCC automatic detection, assessing both the performance and limitations of the current state of the art. An electronic search using several data base was conducted, and a systematic review performed in accordance with PRISMA guidelines (CRD42023441416). Several studies have demonstrated remarkable results for this task, consistently achieving sensitivity rates exceeding 85% and accuracy rates surpassing 90%, often encompassing around 1000 images. The review scrutinizes these studies, shedding light on their methodologies, including the use of recent machine learning and pattern recognition approaches coupled with different supervision strategies. However, comparing the results from different papers is challenging due to variations in the datasets used. Considering these findings, this review underscores the urgent need for more robust and reliable datasets in the field of OSCC detection. Furthermore, it highlights the potential of advanced techniques such as multi-task learning, attention mechanisms, and ensemble learning as crucial tools in enhancing the accuracy and sensitivity of OSCC detection through oral photographs. These insights collectively emphasize the transformative impact of AI-driven approaches on early OSCC diagnosis, with the potential to significantly improve patient outcomes and healthcare practices.

MMP-9 EXPRESSION IN ORAL SQUAMOUS CELL CARCINOMA USING IMMUNOHISTOCHEMISTRY, WESTERN BLOTTING, AND REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION TECHNIQUES

Research into matrix-metalloproteinases (MMP) and their inhibition in certain cancers has moved significantly, studies on MMP expression in oral squamous cell carcinoma (OSCC) remains scarce. MMP-9, a gelatinase-degrading enzyme, destroys matrix proteins in gingivitis and adult periodontitis. MMP-9 genetic (mRNA) and protein profiles were examined to determine MMP-9 expression in oral cancer in this study. Our gender findings indicate that the majority of patients were males and consumers of various tobacco forms.The buccal mucosa was involved in 52% of OSCCs, followed by the tongue (33%), and the gingivobuccal sulcus (9%).The levels of MMP-9 detected in OSCC grades were higher than controls in the order of well-, followed by moderately- and lastly poorly-differentiated grades.Immunohistochemistryseemed to be a reliable approach for measuring MMP-9 expression in OSCC samples when compared to RT-qPCR and western blotting. The association of high MMP-9 levels with well-differentiated OSCC grade implies its potential as a biomarker for early detection of OSCC which could lead to the development of early OSCC treatments. More studies with larger samples might aid in the evaluation of the techniques used.

Biological biomarkers of oral cancer

AbstractThe oral squamous cell carcinoma (OSCC) 5 year survival rate of 41% has marginally improved in the last few years, with less than a 1% improvement per year from 2005 to 2017, with higher survival rates when detected at early stages. Based on histopathological grading of oral dysplasia, it is estimated that severe dysplasia has a malignant transformation rate of 7%–50%. Despite these numbers, oral dysplasia grading does not reliably predict its clinical behavior. Thus, more accurate markers predicting oral dysplasia progression to cancer would enable better targeting of these lesions for closer follow‐up, especially in the early stages of the disease. In this context, molecular biomarkers derived from genetics, proteins, and metabolites play key roles in clinical oncology. These molecular signatures can help predict the likelihood of OSCC development and/or progression and have the potential to detect the disease at an early stage and, support treatment decision‐making and predict treatment responsiveness. Also, identifying reliable biomarkers for OSCC detection that can be obtained non‐invasively would enhance management of OSCC. This review will discuss biomarkers for OSCC that have emerged from different biological areas, including genomics, transcriptomics, proteomics, metabolomics, immunomics, and microbiomics.

Evaluation of Diagnostic Significance of Salivary miRNA-184 and miRNA-21 in Oral Squamous Cell Carcinoma and Oral Potentially Malignant Disorders.

Altered levels of miRNAs might affect the pathogenesis of oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMD). This study evaluated the diagnostic potential of salivary miRNA-21 and miRNA-184 in OSCC and OPMD. We recruited a total of 90 subjects including OSCC, OPMD, and healthy controls. RNA was isolated from the saliva samples of the study subjects. Expression of miRNA-21 and miRNA-184 was analyzed using qRT-PCR. Their levels were compared and the diagnostic cut-off was determined using the ROC curve. There was a significant increase in miRNA-21 and a decrease in miRNA-184 in OSCC and OPMD as compared to healthy controls (p < 0.001). Levels of salivary miRNA-21 and miRNA-184 can differentiate OSCC and OPMD from controls and premalignant conditions from malignant conditions. Salivary miRNA-21 and miRNA-184 may be beneficial for the early detection of OSCC and OPMD. Also, saliva can be used for detecting neoplastic transformation of oral mucosa since it is non-invasive and easily accessible.

Epigenetic Regulation in Oral Squamous Cell Carcinoma Microenvironment: A Comprehensive Review

Oral squamous cell carcinoma (OSCC) is a prevalent and significant type of oral cancer that has far-reaching health implications worldwide. Epigenetics, a field focused on studying heritable changes in gene expression without modifying DNA sequence, plays a pivotal role in OSCC. Epigenetic changes, encompassing DNA methylation, histone modifications, and miRNAs, exert control over gene activity and cellular characteristics. In OSCC, aberrant DNA methylation of tumor suppressor genes (TSG) leads to their inactivation, subsequently facilitating tumor growth. As a result, distinct patterns of gene methylation hold promise as valuable biomarkers for the detection of OSCC. Oral cancer treatment typically involves surgery, radiation therapy, and chemotherapy, but even with these treatments, cancer cells cannot be effectively targeted and destroyed. Researchers are therefore exploring new methods to target and eliminate cancer cells. One promising approach is the use of epigenetic modifiers, such as DNA methyltransferase (DNMT) inhibitors and histone deacetylase (HDAC) inhibitors, which have been shown to modify abnormal epigenetic patterns in OSCC cells, leading to the reactivation of TSGs and the suppression of oncogenes. As a result, epigenetic-targeted therapies have the potential to directly alter gene expression and minimize side effects. Several studies have explored the efficacy of such therapies in the treatment of OSCC. Although studies have investigated the efficacy of epigenetic therapies, challenges in identifying reliable biomarkers and developing effective combination treatments are acknowledged. Of note, epigenetic mechanisms play a significant role in drug resistance in OSCC and other cancers. Aberrant DNA methylation can silence tumor suppressor genes, while alterations in histone modifications and chromatin remodeling affect gene expression related to drug metabolism and cell survival. Thus, understanding and targeting these epigenetic processes offer potential strategies to overcome drug resistance and improve the efficacy of cancer treatments in OSCC. This comprehensive review focuses on the complex interplay between epigenetic alterations and OSCC cells. This will involve a deep dive into the mechanisms underlying epigenetic modifications and their impact on OSCC, including its initiation, progression, and metastasis. Furthermore, this review will present the role of epigenetics in the treatment and diagnosis of OSCC.

Prognostic evaluation of oral squamous cell carcinoma based on pleiotrophin, urokinase plasminogen activator, and glycoprotein nonmetastatic melanoma protein B expression.

This study investigated the expression of pleiotrophin (PTN), urokinase plasminogen activator (uPA), and glycoprotein nonmetastatic melanoma protein B (GPNMB) in oral squamous cell carcinoma (OSCC) tissues and their correlation with prognosis. From February 2017 to January 2020, PTN, uPA, and GPNMB expression in cancer tissues and adjacent tissues of 93 patients with OSCC was determined using immunohistochemistry. The diagnostic value of the combined detection of OSCC and its relationship with clinicopathological characteristics were analyzed, as well as the prognostic potential of PTN, uPA, and GPNMB. Cancer tissues from patients with OSCC exhibited high expression of PTN, uPA, and GPNMB. The AUC for the combined detection of PTN, uPA, and GPNMB for diagnosis and prognosis was greater than that of each index alone. The rates of expression of PTN, uPA, and GPNMB were higher in the death group than in the survival group. Patients with PTN, uPA, and GPNMB expression had lower 3-year survival rates. PTN expression was a risk factor affecting the prognosis of patients with OSCC. The rate of PTN, uPA, and GPNMB expression in OSCC tissues was high, and their expression was related to clinicopathological features such as lymph node metastasis and tumor invasion depth. The combined detection of each index has a predictive value for the prognosis of patients.

Salivary Interleukin-1 Levels in Oral Squamous Cell Carcinoma: A Case-Control Study.

Oral squamous cell carcinoma (OSCC) is a prevalent malignancy with a significant impact on global health. The identification of non-invasive biomarkers for early detection and monitoring of OSCC remains crucial. A total of 100 subjects, comprising 50 patients with histopathologically confirmed OSCC and 50 age- and sex-matched healthy controls, were enrolled in the study. Salivary samples were collected from all participants and analyzed using enzyme-linked immunosorbent assays (ELISA) to measure IL-1 levels. Clinical data, including demographic information, smoking habits, and alcohol consumption, were obtained from patient records. The mean salivary IL-1 level was significantly higher in OSCC patients compared to healthy controls (P < 0.001). Furthermore, subgroup analysis demonstrated that advanced stages of OSCC correlated with significantly elevated IL-1 levels when compared to early-stage OSCC (P < 0.05). Additionally, high salivary IL-1 levels were associated with a more aggressive tumor phenotype and poorer prognosis, as reflected by tumor size, lymph node metastasis, and overall survival (P < 0.01). This case-control study provides compelling evidence that salivary Interleukin-1 (IL-1) levels are significantly elevated in patients with OSCC.

Proteomic and transcriptomic biomarkers for oral squamous cell carcinoma detection: Insights from saliva analysis

Proteomic and transcriptomic biomarkers have become valuable tools for the early detection and diagnosis of OSCC. The human saliva proteome, which was previously thought to contain a limited number of proteins, has now been found to consist of over 2000 proteins

A new method for oral cancer biomarkers detection with a non-invasive cyto-salivary sampling and rapid-highly sensitive ELISA immunoassay: a pilot study in humans.

Oral squamous cell carcinoma (OSCC) accounts for approximately 90% of oral malignancies and has a 5-year mortality rate close to 50%. A consistent part (70%) of all oral cancers is diagnosed at an advanced stage since available screening techniques are ineffective. Therefore, it would be urgent to improve them. The diagnostic gold standard is tissue biopsy with histological and immunohistochemical assessment. This method presents some limitations. Biopsy is invasive and the histopathological evaluation is semi-quantitative, and the absolute abundance of the target cannot be reliably determined. In addition, tissue is highly processed and may lead to loss of information of the natural state. The search for classical and new clinical biomarkers on fragments of tissue/cells collected with a cytobrush is a highly hopeful technique for early detection and diagnosis of OSCC, because of its non-invasive sampling and easy collection method. Here we analyzed cytobrush biopsies samples collected from the oral cavity of 15 patients with already diagnosed OSCC by applying an innovative high-sensitivity ELISA technique, in order to verify if this approach may provide useful information for detection, diagnosis, and prognosis of OSCC. To this end, we selected six biomarkers, already used in clinical practice for the diagnosis of OSCC (EGFR, Ki67, p53) or selected based on recent scientific and clinical data which indicate their presence or over-expression in cells undergoing transformation and their role as possible molecular targets in immunecheckpoints blockade therapies (PD-L1, HLA-E, B7-H6). The selected tumor biomarkers were highly expressed in the tumor core, while were virtually negative in healthy tissue collected from the same patients. These differences were highly statistically significant and consistent with those obtained using the gold standard test clearly indicating that the proposed approach, i.e. analysis of biomarkers by a custom ELISA technique, is strongly reliable. These preliminary data suggest that this non-invasive rapid phenotyping technique could be useful as a screening tool for phenotyping oral lesions and support clinical practice by precise indications on the characteristics of the lesion, also with a view to the application of new anti-tumor treatments, such as immunotherapy, aimed at OSCC patients.

Gene expression analysis of microRNA-1285 in the South Indian oral squamous cell carcinoma population.

Oral squamous cell carcinoma (OSCC) is the most common oral malignant tumor, which has poor prognosis. The traditional investigative modality is invasive biopsy which is the gold standard for diagnosis. In recent years, alternative methods like non-invasive biomarkers have been studied for their potential role in early diagnosis and prognosis. Among them, microRNAs (miRNAs or miRs) are short non-coding RNAs that regulate gene expression in various diseases, including OSCC. Several miRNAs are being researched as non-invasive biomarkers as well as novel therapeutic targets in the treatment of OSCC. MiR expression can be upregulated or downregulated in OSCC. Among the reported miRNAs, miR-1285 is an important miRNA found to be involved in OSCC. The aim of the current study was to quantify the levels of miR-1285 in OSCC samples and to validate their potential role as biomarkers for OSCC detection. Sixteen samples of cancer tissue and normal tissue were evaluated from a total of 25 patients, in the study, conducted in the Department of Oral and Maxillofacial Surgery. The tissues were processed for H&E staining and gene expression analysis of miR-1285. The samples were collected after proper informed consent from the patients. Total RNA isolated was reverse transcribed into cDNA which was used in the gene expression analysis using qRT-PCR. The histopathological examination confirmed the OSCC cases and the gene expression analysis revealed that miR-1285 was significantly downregulated in OSCC tissues. Since miR-1285 showed significant difference between the OSCC and normal tissues it could be postulated as a potential biomarker and therapeutic target for OSCC. Further in-vitro and in-vivo studies could validate their functional role in OSCC.

Evaluation of salivary Chemerin in oral leukoplakia, oral squamous cell carcinoma and healthy controls

Introduction: Chemerin is a multifunctional chemoattractant cytokine, encoded by RARRES2 gene. Its role in oral carcinogenesis is largely unexplored. Study was undertaken to evaluate the role of salivary chemerin as a potential biomarker in the early diagnosis of oral cancer and to elucidate the clinicopathologic and prognostic significance of chemerin in different grades of Oral Squamous Cell Carcinoma (OSCC) and oral leukoplakia. Materials and Methods: The study comprised 96 subjects, divided into 3 groups, each consisting of 32 subjects. These groups were clinically and histopathologically diagnosed with OSCC, oral leukoplakia, and healthy controls, respectively. The whole unstimulated saliva (1.5 mL) was collected from the subjects using passive drool technique and immediately centrifuged at 3000 rpm for 10 minutes. The salivary chemerin level was estimated using the competitive sandwich enzyme-linked immunosorbent assay method. The statistical analysis was performed using R software EZR version 1.32. Independent t-tests, analysis of variance tests, and Scheffe Multiple Comparisons were carried out to compare quantitative parameters. A receiver operating characteristic (ROC) curve was plotted to assess diagnostic accuracy of salivary chemerin. Results: Significantly higher levels of salivary chemerin were observed in OSCC and oral leukoplakia patients compared to healthy controls (P &lt; 0.05). The study further established an increase in salivary chemerin concentration in different histological grades of OSCC and oral leukoplakia. ROC curve analysis suggested that salivary chemerin is a highly sensitive and specific indicator for early screening and detection of oral leukoplakia and OSCC. Conclusion: Salivary chemerin can be considered as a reliable and specific indicator for the early screening and detection of oral leukoplakia and OSCC and a highly sensitive biomarker which may aid in detection of malignant transformation of oral leukoplakia.

Light-Based Non-Invasive Techniques as Diagnostic Tools in Cancer Detection: A Systematic Review.

Oral squamous cell carcinomas (OSCCs) fall between the sixth and eighth most common cancers. The prevention of cancer and the treatment of the disease depends on early diagnosis. To encourage dental professionals to use light-based detection techniques in clinical practice, this systematic review aims to evaluate the literature on the effectiveness of chemiluminescence and autofluorescent imaging equipment in the detection of OSCC and OPMDs. PUBMED [MEDLINE] and SCIENCE DIRECT were the electronic databases and retrieval systems used to look for pertinent articles. Search terms like"oral cancer,""early diagnosis,""potentially malignant disorders,"chemiluminescence," autofluorescence," and "VELscope" were used to search the database of indexed journals. 26 articles in total have been chosen for this review. The majority of the research was cross-sectional. Chemiluminescence and Autofluorescence can help a skilled doctor spot oral premalignant lesions with the autofluorescence technique being superior and the way for biopsies within the altered mucosa.

Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features

Oral squamous cell carcinoma (OSCC) is one of the deadliest and most common types of cancer. The incidence of OSCC is increasing annually, which requires early diagnosis to receive appropriate treatment. The biopsy technique is one of the most important techniques for analyzing samples, but it takes a long time to get results. Manual diagnosis is still subject to errors and differences in doctors’ opinions, especially in the early stages. Thus, automated techniques can help doctors and patients to receive appropriate treatment. This study developed several hybrid models based on the fused CNN features for diagnosing OSCC-100x and OSCC-400x datasets for oral cancer, which have the ability to analyze medical images with a high level of precision and accuracy. They can detect subtle patterns, abnormalities, or indicators of diseases that may be difficult to recognize with the naked eye. The systems have the potential to significantly reduce human error and provide more consistent and reliable results, resulting in improved diagnostic accuracy. The systems also have the potential for early detection of OSCC for treatment success and improved patient outcomes. By detecting diseases at an early stage, clinicians can initiate interventions in a timely manner, potentially preventing OSCC progression and improving the chances of successful treatment. The first strategy was based on GoogLeNet, ResNet101, and VGG16 models pretrained, which did not achieve satisfactory results. The second strategy was based on GoogLeNet, ResNet101, and VGG16 models based on the adaptive region growing (ARG) segmentation algorithm. The third strategy is based on a mixed technique between GoogLeNet, ResNet101, and VGG16 models and ANN and XGBoost networks based on the ARG hashing algorithm. The fourth strategy for oral cancer diagnosis by ANN and XGBoost is based on features fused between CNN models. The ANN with fusion features of GoogLeNet-ResNet101-VGG16 yielded an AUC of 98.85%, accuracy of 99.3%, sensitivity of 98.2%, precision of 99.5%, and specificity of 98.35%.

Clinical validation of a saliva-based matrix metalloproteinase-1 rapid strip test for detection of oral cavity cancer

BackgroundWe previously identified matrix metalloproteinase-1 (MMP-1) as one of the most promising salivary biomarkers for oral squamous cell carcinoma (OSCC) and developed a sensitive ELISA for MMP-1 with good performance in detection of OSCC using a cohort of 1160 saliva samples. MethodsA time-saving rapid strip test (RST) for MMP-1 was developed in this study and its diagnostic performance compared with ELISA using saliva samples from a new cohort of 603 subjects (171 healthy controls, 236 patients with oral potentially malignant disorders, and 196 OSCC patients). ResultsSalivary MMP-1 levels measured using RST and ELISA were highly comparable and both assays could effectively distinguish between OSCC and non-cancerous groups. Similar to ELISA, receiver operating characteristic curve analysis of the MMP-1 RST was effective in identifying patients with OSCC at different oral cavity sites and stages. ConclusionsSalivary MMP-1 can be sensitively detected using both RST and ELISA methods. Our newly developed point-of-care MMP-1 RST is a promising in vitro diagnostic device (IVD) that may serve as a novel auxiliary tool in the routine clinical detection and monitoring of OSCC.

Evaluation of the accuracy of hTERT gene aberrant methylation using electrochemical hybridization assay and liquid‐based cytology in screening for oral squamous cell carcinoma

AbstractIn order to improve the survival rate of oral squamous cell carcinoma (OSCC) patients, a reliable diagnostic method for early OSCC detection is required that is minimally invasive, less burdensome to the patient, and has high sensitivity and specificity. Therefore, we performed the detection of abnormal methylation at three locations in the hTERT promoter region of oral exfoliated cells by employing the ferrocenylnaphthalene diimide (FND)‐based electrochemical hybridization assay (FND‐EHA) using three types of DNA probe‐immobilized electrodes. We also performed liquid cytology using oral exfoliated cells and compared these obtained data to evaluate whether FND‐ EHA can be used as an OSCC screening system. The results showed a good correlation between this method and conventional OSCC screening, and cytology. In addition, FND‐EHA was also able to determine samples that had been ambiguously determined by liquid cytology. This indicates that FND‐EHA may be useful as an OSCC screening system.

LncRNA GHET1 and LncRNA ZXF2 as New Biomarkers in Oral Squamous Cell Carcinoma in Relation to Clinicopathological Variables

Background: The utilization of molecular techniques in detecting cancer has resulted in an improved prediction of outcomes. Oral squamous cell carcinoma (OSCC) is a prevalent illness that is frequently detected in its late stages. Therefore, finding molecular biomarkers that lead to the early detection of OSCC is of great importance. Objectives: This study aimed at evaluating the expression levels of long non-coding RNA (LncRNA) gastric carcinoma highly expressed transcript 1 (GHET1) and lncRNA ZXF2 in OSCC patients and their relationship with clinical pathology variables due to biomarker discovery and early diagnosis of OSCC. Methods: Tissue sampling was performed after selecting 30 OSCC patients and 30 healthy individuals from Emam-Khomeini Hospital, Tehran, Iran. Then, RNA extraction and cDNA synthesis were performed from these samples, using the relevant kits and their quantity and quality were measured, using nanodrop and agarose gel electrophoresis, respectively. For molecular biomarker identification and validation, real-time PCR (RT-PCR) was utilized to assess the expression of lncRNA GHET1 and lncRNA ZXF2. Data analysis was done, using GraphPad prism V.8 software. Results: The results showed that the expressions of both lncRNA GHET1 and lncRNA ZXF2 in OSCC tumor tissue increased compared to normal tissue (P &lt; 0.0001). Receiver operating characteristic (ROC) analysis indicated that lncRNA GHET1 and lncRNA ZXF2 have the capability to be employed as biomarkers for OSCC detection. However, no significant relationship was observed between lncRNA GHET1 and lncRNA ZXF2 expressions with clinicopathological variables such as tumor stage and grade as well as patients' age. Conclusions: LncRNA GHET1 and lncRNA ZXF2 have the potential to be used as biomarkers in the early detection of OSCC and evaluating their expression in clinical settings are recommended. The use of these biomarkers in the early detection of OSCC can prevent the high mortality rate of OSCC patients. In the current study, the important role of the studied lncRNAs in OSCC diagnosis was shown. However, further studies are needed to confirm this.