Exciting new advances in oral cancer diagnosis: avenues to early detection

Top 100 most cited papers on diagnostic aids for oral cancer: A bibliometric analysis

BACKGROUND

Oral cancer (OC) is a multifactorial disease that affects the oral cavity. The mortality rate is approximately 50 % and a high percentage of patients are diagnosed in advanced stages. Early diagnosis has been well demonstrated to improve overall survival, mainly when detected at a localized stage. Non-invasive techniques can help identify malignant features in real time, thus improving the path to diagnosis. This study aimed to perform a bibliometric analysis of the top 100 articles cited on diagnostic aids for oral cancer.

METHODS

Articles from 2000 to 2023 in Scopus were scanned using five OC topic titles crossed with 27 diagnostic aid keywords. Duplicate manuscripts were eliminated using Microsoft Excel software and publications were ranked according to their citation count. This study selected and analyzed the top 100 most cited English-language papers.

RESULTS

86,676 citations were accumulated by the top 100 articles most cited. 2011 was the year with the highest number of publications with OC papers. The article with the most citations obtained a total of 30,832. The United States was the country with the most publications, with a total of 45, and UCLA was the institution with the most publications (7) among the top 100 most cited papers.

CONCLUSIONS

This study identified the top 100 most cited articles on diagnostic aids for oral cancer. These results can help dentists, specialists, healthcare providers, and researchers become familiar with the most influential publications in this field.

Clinico-pathological specificities of gingival carcinoma among 32 patients with oral cancer: a cross sectional retrospective and observational study

BACKGROUND

The study aimed to examine the prevalence of gingival cancers compared to other oral mucosal sites, analyze patient profiles, and identify risk factors.

MATERIALS AND METHODS

A retrospective monocentric study was conducted at the Department of Oral Medicine of Bretonneau Hospital in Paris, France. 32 patients diagnosed with oral mucosal cancer were included. Data extracted from electronic medical records encompassed patient demographics, cancer type, lesion location, and tobacco/alcohol use.

RESULTS

46.9% were diagnosed with gingival cancer. Patients with gingival cancer had a mean age of 74.2 years old, higher than the mean age of 63.9 years old for those with non-gingival cancer. Men accounted for 60% of cases in the gingival cancer group. Squamous cell carcinoma was the predominant cancer type observed in both gingival and non-gingival cancers. Notably, 26.7% of gingival cancer patients used both alcohol and tobacco, all of them male. Among non-gingival cancer patients, 23.5% used both substances, with both sexes represented.

CONCLUSION

This study provides insights into the higher prevalence of oral squamous cell carcinoma among men with risk factors and highlights characteristics of gingival squamous cell carcinoma. Effective management strategies should include comprehensive clinical assessments to ensure early detection and intervention for improved outcomes.

Longitudinal Study of Oral Precancerous Lesions: Transformation Rate and Predictive Markers for Malignancy

Background

One of the main risk factors for the occurrence of oral cancer is oral precancerous lesions (OPLs). Early management and preventive efforts depend on knowing the transformation rate and detecting predictive signs of malignancy.

Methods

For 6 months, a group of 200 individuals with clinically diagnosed OPLs was followed up on in this longitudinal research. To examine biomarker expression levels and describe the lesions, examinations using immunohistochemistry, histopathology, and clinical methods were carried out.

Findings

Over the course of 2 years, 200 patients with OPLs were monitored in this study. Most lesions had mild dysplasia, according to histopathological examination. The expression of many biomarkers that were correlated with the dysplasia grade were p53 (60.0%), Ki-67 (40.0%), CDKN2A (30.0%), and epidermal growth factor receptor (EGFR) (25.0%).

Conclusion

In summary, this study emphasizes how crucial it is to provide patients with OPLs with individualized care plans and routine surveillance. Certain biomarkers, such EGFR, Ki-67, and p53, can be useful prognostic markers for identifying malignant transformation. To confirm these results and create tailored therapies for high-risk patients, more study is necessary.

Teledentistry: A Future Solution in the Diagnosis of Oral Lesions: Diagnostic Meta-Analysis and Systematic Review

Introduction: Teledentistry (TD) can offer a wide range of possibilities in the field of oral medicine. Oral potentially malignant disorders (OPMDs) are hard to detect, and even harder to diagnose correctly. With the help of TD, OPMDs can be detected and diagnosed by a remote specialist. Our aim was to investigate whether TD could provide a reliable diagnostic method compared with clinical oral examination (COE) in the diagnosis of OPMDs. Methods: A systematic search was conducted in three databases (Medline, EMBASE, CENTRAL) until November 2021. We included studies that compared telediagnosis and COE, both made by experts. Pooled specificity and sensitivity were calculated and visualized on a two-dimensional plot. Risk of bias was assessed using the QUADAS-2 tool, and the level of evidence is shown with the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) tool. Results: Of the 7,608 studies, 13 were included in the qualitative and 9 in the quantitative synthesis. Using TD tools in the detection of oral lesions (OLs) showed high specificity (0.92 confidence interval [95% CI] = 0.59-0.99) and sensitivity (0.93 95% CI = 0.17-1.00). In the differential diagnosis of lesions, we found high sensitivity and specificity (0.942 95% CI = 0.826-0.982 and 0.982 95% CI = 0.913-0.997), respectively. We summarized the available data on time-effectiveness, screening person, referral decision, and technical settings. Conclusion: Detecting OLs with TD tools might lead to earlier diagnosis, treatment, and stricter follow-up of OPMD. TD may offer a great substitution for COE in the diagnosis of OLs, and thus, fewer referrals could be made to special care, resulting in a greater number of treated OPMDs.

U-shaped fusion convolutional transformer based workflow for fast optical coherence tomography angiography generation in lips

Oral disorders, including oral cancer, pose substantial diagnostic challenges due to late-stage diagnosis, invasive biopsy procedures, and the limitations of existing non-invasive imaging techniques. Optical coherence tomography angiography (OCTA) shows potential in delivering non-invasive, real-time, high-resolution vasculature images. However, the quality of OCTA images are often compromised due to motion artifacts and noise, necessitating more robust and reliable image reconstruction approaches. To address these issues, we propose a novel model, a U-shaped fusion convolutional transformer (UFCT), for the reconstruction of high-quality, low-noise OCTA images from two-repeated OCT scans. UFCT integrates the strengths of convolutional neural networks (CNNs) and transformers, proficiently capturing both local and global image features. According to the qualitative and quantitative analysis in normal and pathological conditions, the performance of the proposed pipeline outperforms that of the traditional OCTA generation methods when only two repeated B-scans are performed. We further provide a comparative study with various CNN and transformer models and conduct ablation studies to validate the effectiveness of our proposed strategies. Based on the results, the UFCT model holds the potential to significantly enhance clinical workflow in oral medicine by facilitating early detection, reducing the need for invasive procedures, and improving overall patient outcomes.

Development of an intraoral handheld optical coherence tomography-based angiography probe for multi-site oral imaging

Oral cancer, primarily oral squamous cell carcinomas (OSCC), is a major health concern worldwide. The current gold standard for the diagnosis of OSCC is biopsy and histopathological analysis, which is invasive and can place a huge financial burden on the healthcare system. Optical coherence tomography-based angiography (OCTA) is a non-invasive imaging technique that shows promise as an imaging modality to aid the diagnosis of OSCC. This Letter outlines the development of a handheld intraoral OCT probe applied to a swept-source OCT system with an angiography function for oral applications. The probe has a thin body with a diameter of 17.8 mm and a two-lens system with a working distance that is adjustable from 20.92 mm to 24.08 mm, a field of view 9 mm in diameter, an imaging depth of ∼1.7 mm, and resolutions of 39.38 µm (laterally) and 33.37 µm (axially). This probe was used to scan 14 oral sites to evaluate its ability to scan various sites in the oral cavity. This system has the potential to reduce invasive procedures and aid early OSCC diagnosis.

Serum and Saliva LDH Levels in Patients with Habit, Oral Potentially Malignant Disorders (OPMDs), and Oral Squamous Cell Carcinoma (OSCC): A Spectrophotometry Study

Background

Oral potentially malignant disorders (OPMDs) are chronic lesions or conditions characterized by a potential for malignant transformation. One of the hallmarks of cancer is aerobic glycolysis which confers immortality to cancer cells, correlates with the belligerent behavior of various malignancies, and shows an increase in the expression of lactate dehydrogenase (LDH). The present study was conducted to measure and compare serum and salivary LDH levels in patients with habit, OPMDs and oral squamous cell carcinoma (OSCC) patients, and to evaluate if LDH levels can be used as a biomarker in the progression into potentially malignant disorders (PMDs), the prognosis of OSCC, and to assess if saliva is a better biomarker.

Materials and Methods

Thirty patients of both genders were divided into three groups. Group I had patients with habits, group II had OPMDs, and group III had OSCC with 10 subjects from each group. Saliva and serum of patients were collected according to the standard protocol and measured for LDH using spectrophotometry of 340 nm.

Results

Group I had patients with habits, group II had OPMDs, and group III had OSCC. Group I had 6 males and 4 females, group II had 8 males and 2 females, and group III had 7 males and 3 females. The mean serum LDH level in group I was 265.50, in group II was 194.10, and in group III was 224.22. The difference was non-significant (P > 0.05). The mean salivary LDH level in group I was 345.68, in group II was 532.72, and in group III was 1.105. The difference was significant (P < 0.05).

Conclusion

Salivary LDH is a non-invasive, cost-effective technique, which can be used as an effective modality for the diagnosis and prognosis of oral cancer as well as for monitoring tobacco users and OPMDs.

Diagnosis of Oral Cancers by Targeting VPAC Receptors: Preliminary Report

INTRODUCTION

Oral cancer is a major health problem. The study of exfoliative cytology material helps in the differentiation of premalignant and malignant alterations of oral lesions. The objective of this study was to assess the feasibility of detecting oral cancer by targeting genomic VPAC (combined vasoactive intestinal peptide (VIP) and pituitary adenylate cyclase-activating peptide) receptors expressed on malignant oral cancer cells.

PATIENTS & METHODS

All patients with suspected oral cavity cancers/lesions formed the study group. The samples from the oral cavity lesion or suspicious area were collected with a cytology brush. The harvested material was examined for malignant cells by 1. the standard PAP stain and 2. targeting the VPAC receptors on the cell surface using a fluorescent microscope. Similarly, malignant cells were identified from cells shed in oral gargles.

RESULTS

A total of 60 patients with oral lesions were included in the study. The histopathological diagnosis was squamous cell carcinoma in 30 of these. The VPAC receptor positivity both on the brush cytology staining as well oral gargle staining was more sensitive than the brush cytology PAP staining. The accuracy of the various techniques was as follows, brush cytology PAP staining at 86.67%, brush cytology VPAC staining at 91.67% and oral gargle VPAC staining at 95%.

CONCLUSIONS

This preliminary study validates our belief that malignant cells in the saliva can be identified by targeting the VPAC receptors. The test is simple, easy, non-invasive and reliable in the detection of oral cancers.

Head and neck cancer biomarkers: Systematic review and meta-analysis

PURPOSE

To perform a systematic review and meta-analysis of the diagnostic capabilities of various biological markers in the plasma, serum, tissue, and saliva of patients with head and neck cancer (HNC).

METHODS

We performed manual and digital searches using specific keywords and found English-language literature published up to October 28, 2022. PubMed, ScienceDirect, Scopus, MEDLINE Complete, and EMBASE databases were used. Studies comparing biomarkers for the diagnosis of HNC versus healthy controls were evaluated.

RESULTS

Seventeen studies using varied sources of biomarkers, both individually and combined, were identified. The sensitivity and specificity of biomarkers ranged from 29.5% to 100% and 57.1% to 100%, respectively. The combined biomarkers demonstrated higher therapeutic applicability in terms of sensitivity and specificity than the individual biomarkers. Furthermore, the heterogeneity of the sensitivity/specificity for individual and combined biomarker was 534.45/1.66 and 247.41/14.62, respectively.

CONCLUSION

Combined biomarkers may aid in the diagnosis of HNC. Further studies are required to verify the accuracy of these biomarkers.

Current advances in noninvasive methods for the diagnosis of oral squamous cell carcinoma: a review

Oral squamous cell carcinoma (OSCC), one of the most common types of cancers worldwide, is diagnosed mainly through tissue biopsy. However, owing to the tumor heterogeneity and other drawbacks, such as the invasiveness of the biopsy procedure and high cost and limited usefulness of longitudinal surveillance, there has been a focus on adopting more rapid, economical, and noninvasive screening methods. Examples of these include liquid biopsy, optical detection systems, oral brush cytology, microfluidic detection, and artificial intelligence auxiliary diagnosis, which have their own strengths and weaknesses. Extensive research is being performed on various liquid biopsy biomarkers, including novel microbiome components, noncoding RNAs, extracellular vesicles, and circulating tumor DNA. The majority of these elements have demonstrated encouraging clinical outcomes in early OSCC detection. This review summarizes the screening methods for OSCC with a focus on providing new guiding strategies for the diagnosis of the disease.

Nano-diagnostics as an emerging platform for oral cancer detection: Current and emerging trends

Globally, oral cancer kills an estimated 150,000 individuals per year, with 300,000 new cases being diagnosed annually. The high incidence rate of oral cancer among the South-Asian and American populations is majorly due to overuse of tobacco, alcohol, and poor dental hygiene. Additionally, socio-economic issues and lack of general awareness delay the primary screening of the disease. The availability of early screening techniques for oral cancer can help in carving out a niche for accurate disease prognosis and also its prevention. However, conventional diagnostic approaches and therapeutics are still far from optimal. Thus, enhancing the analytical performance of diagnostic platforms in terms of specificity and precision can help in understanding the disease progression paradigm. Fabrication of efficient nanoprobes that are sensitive, noninvasive, cost-effective, and less labor-intensive can reduce the global cancer burden. Recent advances in optical, electrochemical, and spectroscopy-based nano biosensors that employ noble and superparamagnetic nanoparticles, have been proven to be extremely efficient. Further, these sensitive nanoprobes can also be employed for predicting disease relapse after chemotherapy, when the majority of the biomarker load is eliminated. Herein, we provide the readers with a brief summary of conventional and new-age oral cancer detection techniques. A comprehensive understanding of the inherent challenges associated with conventional oral cancer detection techniques is discussed. We also elaborate on how nanoparticles have shown tremendous promise and effectiveness in radically transforming the approach toward oral cancer detection. This article is categorized under: Diagnostic Tools > Biosensing Diagnostic Tools > Diagnostic Nanodevices Diagnostic Tools > In Vitro Nanoparticle-Based Sensing.

Integrating Cutting-Edge Methods to Oral Cancer Screening, Analysis, and Prognosis

Oral cancer (OC) has become a significant barrier to health worldwide due to its high morbidity and mortality rates. OC is among the most prevalent types of cancer that affect the head and neck region, and the overall survival rate at 5 years is still around 50%. Moreover, it is a multifactorial malignancy instigated by genetic and epigenetic variabilities, and molecular heterogeneity makes it a complex malignancy. Oral potentially malignant disorders (OPMDs) are often the first warning signs of OC, although it is challenging to predict which cases will develop into malignancies. Visual oral examination and histological examination are still the standard initial steps in diagnosing oral lesions; however, these approaches have limitations that might lead to late diagnosis of OC or missed diagnosis of OPMDs in high-risk individuals. The objective of this review is to present a comprehensive overview of the currently used novel techniques viz., liquid biopsy, next-generation sequencing (NGS), microarray, nanotechnology, lab-on-a-chip (LOC) or microfluidics, and artificial intelligence (AI) for the clinical diagnostics and management of this malignancy. The potential of these novel techniques in expanding OC diagnostics and clinical management is also reviewed.

Challenges in the Early Diagnosis of Oral Cancer, Evidence Gaps and Strategies for Improvement: A Scoping Review of Systematic Reviews

Simple Summary

Oral cancer presents a worldwide incidence of 377,713 new cases and 177,757 deaths per year (GLOBOCAN, IARC, WHO). Oral squamous cell carcinoma (OSCC) accounts for approximately 90% of oral malignancies and has a 5-year mortality rate close to 50%. We aim to better understand, based on the evidence, and to discuss in depth, the reasons for the diagnostic delay of oral cancer by reviewing systematic reviews and meta-analyses. We also aim to, identify gaps in evidence, recommend future lines of research that should be implemented, and formulate strategies for improvement.

Abstract

Oral cancer is a growing problem, accounting for 377,713 worldwide new cases per year, and 177,757 deaths annually and representing a 5-year mortality rate close to 50%, which is a considerable mortality that has not decreased substantially in the last 40 years. The main cause of this high mortality is related to the diagnosis of a high percentage of oral cancers in advanced stages (stages III and IV) in which treatment is complex, mutilating or disabling, and ineffective. The essential cause of a cancer diagnosis at a late stage is the delay in diagnosis, therefore, the achievement of the objective of improving the prognosis of oral cancer involves reducing the delay in its diagnosis. The reasons for the delay in the diagnosis of oral cancer are complex and involve several actors and circumstances—patients, health care providers, and health services. In this paper, we present the results of a scoping review of systematic reviews on the diagnostic delay in oral cancer with the aim to better understand, based on the evidence, and discuss in depth, the reasons for this fact, and to identify evidence gaps and formulate strategies for improvement.

Improving the Diagnostic Performance by Adding Methylation Marker to Conventional Visual Examination in Identifying Oral Cancer

Background: Visual oral examination (VOE) is a conventional oral cancer screening method. This study aimed to evaluate the value of methylation marker to assist VOE in identifying oral epithelial dysplasia and oral squamous cell carcinoma (OED/OSCC) from non-cancerous lesions in a real-world situation. Methods: 201 patients with high-risk personal habits who self-perceived oral anomaly were VOE examined, ZNF582 methylation (ZNF582^m) tested, and histologically diagnosed. Results: Among them, 132 patients (65.7%) were histologically diagnosed OED/OSCC. Using VOE, 56.1% OED/OSCC patients had possible oral cancer, whereas 37.7% non-OED/OSCC patients had leukoplakia. ZNF582^m-positive was detected in 90.2% OED/OSCC patients and 44.9% non-OED/OSCC patients. Various logistic regression models were postulated to evaluate the diagnostic performance of conventional VOE and new strategies using ZNF582^m. ROC analysis and its corresponding C-index demonstrated that either triage or co-testing models of VOE and ZNF582^m could improve diagnostic performance and discriminative abilities compared with the VOE only approach. Conclusions: In conclusion, methylation marker test shows equivalent performance to an experienced judgment by oral maxillofacial surgeons and plays a significantly supplementary role in increasing the efficacy in identifying oral malignant lesions. ZNF582^m may be an especially important tool for family physicians or general dentists to properly diagnose suspicious oral lesions.

Negative regulation of miR-1288-3p/KRT4 axis through a circular RNA in oral cancer

Circular RNA (circRNA) has been widely reported to be involved in oral squamous cell carcinoma (OSCC), while the way in which hsa_circ_0096042 affects OSCC remains unclear. The hsa_circ_0096042, miR-1288-3p, and KRT4 expression in OSCC tissues and cell lines were detected by quantitative reverse-transcription polymerase chain reaction. Based on the overexpression of hsa_circ_0096042, miR-1288-3p, or KRT4, the viability and proliferation of OSCC cells were analyzed by cell counting kit-8 and colony formation assay, and the protein levels of Bax and Bcl-2 were detected by western blot, and the growth of cancer cells in vivo was analyzed by xenograft experiment. In addition, the database was used to predict the binding of hsa_circ_0096042, miR-1288-3p, and KRT4, and the interaction was confirmed by luciferase, RIP, and RNA pull-down assay. Hsa_circ_0096042 and KRT4 were abnormally downregulated and miR-1288-3p was upregulated in OSCC. Hsa_circ_0096042 overexpression restrained the proliferation and viability of OSCC cells, facilitated apoptosis, and inhibited the growth of cancer cells in vivo. Hsa_circ_0096042 bound to miR-1288-3p, whose upregulation promoted OSCC progression and eliminated the effects of overexpression of hsa_circ_0096042 on OSCC cells. KRT4 was the target gene for miR-1288-3p. Hsa_circ_0096042 plays an antitumor role in OSCC via miR-1288-3p/KRT4 axis.

Non-invasive imaging of oral potentially malignant and malignant lesions: A systematic review and meta-analysis

Non-invasive (NI) imaging techniques have been developed to overcome the limitations of invasive biopsy procedures, which is the gold standard in diagnosis of oral dysplasia and Oral Squamous Cell Carcinoma (OSCC). This systematic review and meta- analysis was carried out with an aim to investigate the efficacy of the NI-imaging techniques in the detection of dysplastic oral potentially malignant disorders (OPMDs) and OSCC. Records concerned in the detection of OPMDs, Oral Cancer were identified through search in PubMed, Science direct, Cochrane Library electronic database (January 2000 to October 2020) and additional manual searches. Out of 529 articles evaluated for eligibility, 56 satisfied the pre-determined inclusion criteria, including 13 varying NI-imaging techniques. Meta-analysis consisted 44 articles, wherein majority of the studies reported Autofluorescence (AFI-38.6%) followed by Chemiluminescence (CHEM), Narrow Band Imaging (NBI) (CHEM, NBI-15.9%), Fluorescence Spectroscopy (FS), Diffuse Reflectance Spectroscopy (DRS), (FS, DRS-13.6%) and 5aminolevulinic acid induced protoporphyrin IX fluorescence (5ALA induced PPIX- 6.8%). Higher sensitivities (Sen) and specificities (Spe) were obtained using FS (Sen:74%, Spe:96%, SAUC=0.98), DRS (Sen:79%, Spe:86%, SAUC = 0.91) and 5 ALA induced PPIX (Sen:91%, Spe:78%, SAUC = 0.98) in the detection of dysplastic OPMDs from non-dysplastic lesions(NDLs). AFI, FS, DRS, NBI showed higher sensitivities and SAUC (>90%) in differentiating OSCC from NDLs. Analysed NI-imaging techniques suggests the higher accuracy levels in the diagnosis of OSCC when compared to dysplastic OPMDs. 5 ALA induced PPIX, DRS and FS showed evidence of superior accuracy levels in differentiation of dysplastic OPMDs from NDLs, however results need to be validated in a larger number of studies.

Comprehensive Review on Development of Early Diagnostics on Oral Cancer with a Special Focus on Biomarkers

One of the most frequent head and neck cancers is oral cancer, with less than half of those diagnosed surviving five years. Despite breakthroughs in the treatment of many other cancers, the prognosis for people with OSCC remains dismal. The conventional methods of detection include a thorough clinical examination, biochemical investigations, and invasive biopsies. Early identification and treatment are important for a better chance of extending a patient’s life. Early diagnosis may be possible by identifying biomarkers in biological fluids. Currently, the primary method for diagnosing oral lesions is a visual oral examination; however, such a technique has certain drawbacks, as individuals are recognized after their cancer has advanced to a severe degree. The first section of this review discusses several diagnostic techniques for cancer detection, while the second section discusses the present state of knowledge about known existing predictive markers for the timely identification of malignant lesions, as well as disease activity tracking. The aim of the paper is to conduct a critical review of existing oral cancer diagnostic processes and to consider the possible application of innovative technology for early detection. This might broaden our diagnostic choices and enhance our capacity to identify and treat oral malignant tumors more effectively.

Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images

Early diagnosis of oral cancer is critical to improve the survival rate of patients. The current strategies for screening of patients for oral premalignant and malignant lesions unfortunately miss a significant number of involved patients. Optical coherence tomography (OCT) is an optical imaging modality that has been widely investigated in the field of oncology for identification of cancerous entities. Since the interpretation of OCT images requires professional training and OCT images contain information that cannot be inferred visually, artificial intelligence (AI) with trained algorithms has the ability to quantify visually undetectable variations, thus overcoming the barriers that have postponed the involvement of OCT in the process of screening of oral neoplastic lesions. This literature review aimed to highlight the features of precancerous and cancerous oral lesions on OCT images and specify how AI can assist in screening and diagnosis of such pathologies.

Molecular Signatures of Tumour and Its Microenvironment for Precise Quantitative Diagnosis of Oral Squamous Cell Carcinoma: An International Multi-Cohort Diagnostic Validation Study

BACKGROUND

Heterogeneity in oral potentially malignant disorder (OPMD) poses a problem for accurate prognosis that impacts on treatment strategy and patient outcome. A holistic assessment based on gene expression signatures from both the tumour cells and their microenvironment is necessary to provide a more precise prognostic assessment than just tumour cell signatures alone.

METHODS

We reformulated our previously established multigene qPCR test, quantitative Malignancy Index Diagnostic System (qMIDS) with new genes involved in matrix/stroma and immune modulation of the tumour microenvironment. An algorithm calculates and converts a panel of 16 gene mRNA expression levels into a qMIDS index to quantify risk of malignancy for each sample.

RESULTS

The new qMIDS^V2 assay was validated in a UK oral squamous cell carcinoma (OSCC) cohort (n = 282) of margin and tumour core samples demonstrating significantly better diagnostic performance (AUC = 0.945) compared to previous qMIDS^V1 (AUC = 0.759). Performance of qMIDS^V2 were independently validated in Chinese (n = 35; AUC = 0.928) and Indian (n = 95; AUC = 0.932) OSCC cohorts. Further, 5-year retrospective analysis on an Indian dysplastic lesion cohort (n = 30) showed that qMIDS^V2 was able to significantly differentiate between lesions without transformation and those with malignant transformation.

CONCLUSIONS

This study validated a novel multi-gene qPCR test on a total of 535 tissue specimens from UK, China and India, demonstrating a rapid minimally invasive method that has a potential application for dysplasia risk stratification. Further study is required to establish if qMIDS^V2 could be used to improve OPMD patient management, guide treatment strategy and reduce oral cancer burden.

Adjunctive techniques and diagnostic aids in the early detection of oral premalignant disorders and cancer: An update for the general dental practitioners

Oral cancer (OC), a potentially fatal disease, is a major health concern across the world. It is reported to be the sixth most common cancer in the world with a disappointingly low 5-year survival rate, despite major advances in onco-medicine in the past three decades. The low 5-year-survival rate is associated with late diagnosis of the disease, while OC diagnosed at early stages enjoy a much higher 5-year-survival rate, comparatively. Although the oral cavity is one of the most easily accessible parts of the body for cancer screening, OC is typically diagnosed at later stages. The delay in diagnosis is one of the factors for the poor 5-year survival rate and high mortality and morbidity among patients. Therefore, an early diagnosis is of utmost importance. Visual and tactile examination and scalpel biopsy are still considered the gold standard for definitive diagnosis of oral potentially malignant disorder (OPMD) and OC. Nevertheless, adjunctive techniques could be employed to increase the ability to distinguish benign abnormalities from dysplastic/malignant changes. These would also aid in identifying areas of dysplasia/early OC that are not visible to the naked eye and tackle the delay in diagnosing OPMD/OC. These adjunctive tools are not a replacement for visual and tactile examination but are supplementary aids. They could be used to screen healthy patients for the presence of any occult cancerous change and evaluate the biological potential of clinically abnormal mucosal lesions, thus enabling early recognition and diagnosis which might increase survival rate and reduce mortality and treatment-associated morbidity.

Advancements in diagnostic techniques for oral cancer detection

Oral malignancy is among the highest prevalent malignancies all over the world. In comparison to systemic malignancies such as lung cancer and colon cancer, they are frequently overlooked by the general public. Nevertheless, they can be exceedingly lethal if left ignored, regardless at the early stage of the condition. Dentists are the finest qualified healthcare specialists in this sector and are responsible for detecting benign and potentially malignant oral conditions such as oral cancers. Oral carcinoma's high prevalence and delayed appearance are serious international medical concerns. Early detection and management of oral carcinoma are the key goals of the World Health Organization (WHO). The identification of key clinical manifestations during the preliminary oral examination can enhance the patient's likelihood of living. Unfortunately, the conventional technology's practical value is limited by a number of drawbacks. Current advancements in optical scanning techniques, such as tissue-fluorescence imaging and optical coherence tomography, have proven to be quite effective. In particular, nanoparticle-based immunosensors, genomics, and salivary biomarkers, epigenetics and microarray have all received a lot of attention. Raising awareness about frequent dental examinations and using noninvasive, effective, and cost-effective screening tools would improve initial stage detection of oral carcinoma and improve patients' longevity.

Estimation of serum and salivary matrix metalloproteinase levels in oral squamous cell carcinoma patients: a systematic review and meta-analysis

Introduction

Matrix metalloproteinases (MMPs) play a pivotal role in the cancer progression, invasion, and angiogenesis.

Aim

This meta-analysis was conducted to evaluate the difference between oral squamous cell carcinoma (OSCC) patients and healthy controls in the serum and salivary MMP levels.

Material and methods

Four databases – Web of Science, PubMed, Scopus, and Cochrane Library – were searched up to March 2019. The pooled standard mean difference (SMD) and 95% confidence interval (CI) were obtained to explain the difference between the patients and controls in the salivary and serum MMP levels. Both Egger’s and Begg’s tests were considered as the significant publication bias.

Results

Thirteen case-control studies were included in the meta-analysis. Among the analyses of serum MMP levels, the serum MMP7 (SMD = 0.78; 95% CI: 0.15–1.41; p = 0.02) and MMP9 (SMD = 1.18; 95% CI: 0.51–1.84; p = 0.0005) levels were significantly higher in the OSCC patients than in the controls. In addition, the analyses of salivary MMP levels showed that the MMP1 (SMD = 0.46; 95% CI: 0.22–0.70; p = 0.0001) and MMP9 (SMD = 0.66; 95% CI: 0.19–1.12; p = 0.005) levels were significantly higher in the OSCC patients than in the controls.

Conclusions

The meta-analysis showed that the serum MMP7 and MPP9 levels as well as the salivary MMP1 and MPP9 levels were significantly higher in the OSCC patients than in the controls.

Current Insights into Oral Cancer Diagnostics

Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer remains a difficult task. Several diagnostic technologies have been developed to facilitate the detection of OPMD and oral cancer, and some of these have been translated into regulatory-approved in vitro diagnostic systems or medical devices. Furthermore, the rapid development of novel biomarkers, electronic systems, and artificial intelligence may help to develop a new era where OPMD and oral cancer are detected at an early stage. To date, a visual oral examination remains the routine first-line method of identifying oral lesions; however, this method has certain limitations and as a result, patients are either diagnosed when their cancer reaches a severe stage or a high-risk patient with OPMD is misdiagnosed and left untreated. The purpose of this article is to review the currently available diagnostic methods for oral cancer as well as possible future applications of novel promising technologies to oral cancer diagnosis. This will potentially increase diagnostic options and improve our ability to effectively diagnose and treat oral cancerous-related lesions.

Salivary KLK5 and uPA are potential biomarkers for malignant transformation of OLK and OLP

BACKGROUND

Oral squamous cell carcinoma (OSCC) usually originates from oral potentially malignant disorders (OPMD), such as oral leukoplakia (OLK) and oral lichen planus (OLP). Identifying biomarkers for the early diagnosis and evaluation of malignant transformation in OPMD could improve the survival rate of OSCC patients.

OBJECTIVE

The present study aimed to screen for potential salivary biomarkers for evaluating the malignant transformation of OPMD.

METHODS

Salivary proteases from OLK and OSCC patients or healthy donors and proteases in cultural medium from DOK and Cal-27 cells were detected with a human protease array kit. The concentrations of the salivary Kallikrein 5 (KLK5) and urokinase-type plasminogen activator (uPA) proteases were measured by ELISA. Receiver operating characteristics (ROC) to determine the potential value of these proteases in clinical diagnosis were calculated using SPSS software. Immunohistochemistry was used to detect the KLK5 and uPA expression in the oral organizations.

RESULTS

The salivary protease spectrum was different among patients with OLK and OSCC and healthy donors. KLK5 and uPA levels in saliva tended to increase as the disease progressed (healthy < OPMD [OLK and OLP] < OSCC). ROC curves showed the optimum diagnostic cutoffs for KLK5 as a biomarker for OLK, OLP, and OSCC were 5.97, 6.03, and 9.45 pg/mL, respectively, while the cutoffs for uPA were 17.19, 17.26, and 20.96 pg/mL. Their combined analysis showed a higher sensitivity for the differential diagnosis of disease. Furthermore, higher levels of KLK5 and uPA were observed in OSCC tissues than in OLK and OLP.

CONCLUSIONS

Salivary KLK5 and uPA are potential biomarkers for evaluating OLK and OLP malignant transformation and early diagnosis of OSCC.

Favorable Lip and Oral Cancer Mortality-to-Incidence Ratios in Countries with High Human Development Index and Expenditures on Health

BACKGROUND

The incidence rates of lip and oral cancer have continued to increase, and prognosis is associated with a country's socioeconomic status. The mortality-to-incidence ratio (MIR) is a reasonable indicator of disparities in cancer screening and treatment. In this study, we aimed to understand the association between economic status and cancer prognosis.

METHODS

Data were obtained from the Global Cancer Observatory (GLOBOCAN) and the World Health Organization (WHO). The MIRs were compared to evaluate the correlation with the human development index (HDI), the current health expenditure (CHE), and the ratio of CHE over gross domestic product (CHE/GDP) disparities via Spearman's rank correlation coefficient.

RESULTS

The results showed that Asia had the most cases and deaths. In addition, they showed a significant association (p < 0.001, p = 0.005, and p < 0.001, respectively) of the crude rate (CR) of incidence with the HDI, the CHE, and the CHE/GDP. However, their associations with mortality rate (p = 0.303, p = 0.997, and p = 0.101) were not significant. Regarding the correlation of the MIRs, the results revealed a significant association with the HDI, the CHE, and the CHE/GDP (p < 0.001, p < 0.001, and p < 0.001, respectively).

CONCLUSION

Countries with higher HDI, CHE per capita, and CHE/GDP tend to have lower MIRs, which indicates favorable clinical outcomes.

Evaluation of oral potentially malignant disorders with autoflorescence, reflectance spectroscopy and vital staining and their correlation with histopathology - Hospital based prospective study

OBJECTIVES

To evaluate diagnostic efficacy of Identafi® and toluidine blue in screening of Oral Potentially Malignant Disorders (OPMDs).

MATERIALS AND METHODS

Forty nine patients (63 lesions) with OPMDs visiting Department of Oral Medicine and Radiology, B.P.Koirala Institute of Health Science (BPKIHS) were included in the study. After thorough history and oral examination, screening was done by Identafi® followed by toluidine blue staining. Then incisional biopsy under local anesthesia was performed from the site showing positive change followed by histopathological examination.

RESULTS

The overall sensitivity and specificity of Identafi®^'s violet light was 73% and 46.2%. The overall sensitivity and specificity of Identafi®^'s green-amber light were 78.4% and 15.4% respectively. The overall sensitivity and specificity of toluidine blue were 51.4 and 84.6 respectively. A statistically-significant association was observed between the toluidine blue and histopathology results, (p = 0.04), p value set at ≤ 0.05.

CONCLUSION

Identafi®'s violet light and green amber light are more sensitive in detecting true positives. Toluidine blue is highly specific in ruling out true negative cases. The screening of OPMDs will help in selecting proper biopsy site followed by early diagnosis and intervention, hence increasing the prognosis, outcome and decrease complications associated with it.

Feasibility of a Portable Electronic Nose for Detection of Oral Squamous Cell Carcinoma in Sudan

BACKGROUND

Oral squamous cell carcinoma (OSCC) is increasing at an alarming rate particularly in low-income countries. This urges for research into noninvasive, user-friendly diagnostic tools that can be used in limited-resource settings. This study aims to test and validate the feasibility of e-nose technology for detecting OSCC in the limited-resource settings of the Sudanese population.

METHODS

Two e-nose devices (Aeonose™, eNose Company, Zutphen, The Netherlands) were used to collect breath samples from OSCC (n = 49) and control (n = 35) patients. Patients were divided into a training group for building an artificial neural network (ANN) model and a blinded control group for model validation. The Statistical Package for the Social Sciences (SPSS) software was used for the analysis of baseline characteristics and regression. Aethena proprietary software was used for data analysis using artificial neural networks based on patterns of volatile organic compounds.

RESULTS

A diagnostic accuracy of 81% was observed, with 88% sensitivity and 71% specificity.

CONCLUSIONS

This study demonstrates that e-nose is an efficient tool for OSCC detection in limited-resource settings, where it offers a valuable cost-effective strategy to tackle the burden posed by OSCC.

Comparison between two cell collecting methods for liquid-based brush biopsies: a consecutive and retrospective study

Background

This study compares two different cell collectors, the Orcellex Brush (rigid brush) and the Cytobrush GT (nylon brush), using liquid-based cytology. A comparison of their obtainment procedures was also considered. The aim was to determine the diagnostic accuracy for detection of malignancy in oral brush biopsies. PICO-Statement: In this consecutive and retrospective study we had as population of interests, patients with oral lesions, the intervention was the brush biopsy with two different cell collectors and the control was healthy oral mucosa. The outcome of the study was to compare both cell collectors.

Methods

From 2009 to 2018, 2018 patients with oral lesions were studied using the nylon brush (666 cases) and rigid brush (1352 cases). In the first cohort five smears per patient were taken with the nylon brush, while each patient received one smear with the rigid brush in the second cohort. These were further processed in a liquid-based procedure. Cytological evaluations were categorised into ‘negative’, which were considered as negative, whereas ‘doubtful’, ‘suspicious’ and ‘positive’ cytological results were overall considered as positive for malignancy in comparison to the final histological diagnoses. Additionally, the clinical expenditure for each collector was estimated.

Results

2018 clinically and histologically proven diagnoses were established, including 181 cases of squamous cell carcinomas, 524 lichen, 454 leukoplakias, 34 erythroplakias and 825 other benign lesions. The sensitivity and specificity of the nylon brush was 93.8% (95% CI 91.6–95.5%) and 94.2% (95% CI 91.8–95.5%) respectively, whereas it was 95.6% (95% CI 94.4–96.6%) and 84.9% (95% CI 83.8–87.5%) for the rigid brush. The temporal advantage using the plastic brushes was 4×  higher in comparison to the nylon brush. The risk suffering from a malignant oral lesion when the result of the brushes was positive, suspicious, or doubtful was significantly high for both tests (nylon brush OR: 246.3; rigid brush OR: 121.5).

Conclusions

Both systems have a similar sensitivity, although only the rigid brush achieved a satisfactory specificity. Additional methods, such as DNA image cytometry, should also be considered to improve the specificity. Furthermore, the rigid brush proved to be more effective at taking a sufficient number of cells, whilst also being quicker and presenting less stress for the patient.

Evaluation of Salivary Lactate Dehydrogenase as a Prognostic Biomarker in Tobacco Users with and without Potentially Malignant Disorders of the Oral Cavity

Background  Oral squamous cell carcinoma (OSCC) is a deadly disease that develops in a multistage process and is often preceded by oral potentially malignant disorders (PMDs), of which many are caused by tobacco usage. It is associated with a shift from an aerobic to anaerobic glycolytic pathway, and hence an increase in lactate dehydrogenase (LDH) levels is seen. The objective of this study was to estimate and correlate the level of salivary LDH in healthy individuals with tobacco users (with or without PMDs).

Methods  A total of 78 patients were selected from the Department of Oral Medicine and Radiology, Dayananda Sagar College of Dental Sciences, Bengaluru, Karnataka, India, and were divided into three groups of 26 patients each, namely controls, tobacco users without PMD, and tobacco users with PMD. A total of 1 mL of unstimulated saliva was collected from each patient using the spit method. Sample was subjected to centrifugation at 2,500 rpm, and salivary LDH was quantified by a standard kit (LDH-P kit, DIALAB, Neudorf, Austria) using an autoanalyzer.

Results  There was a statistically significant ( p < 0.001) gradual increase in the level of LDH in controls (267 ± 27.64 U/L), tobacco users without PMD (391 ± 80.53 U/L), and tobacco users with PMD (706.1 ± 199 U/L). Increase in the LDH level was also noted with increased duration and frequency of the habit.

Conclusion  LDH can potentially be used as a promising biomarker in the very early stages of progression toward oral cancer caused by tobacco use.

Secondary oral cancer following hematopoietic cell transplantation

The aim of this retrospective study was to determine the incidence and the clinical outcome of secondary oral cancer (SOC) and to assess potential risk factors in a large cohort of patients (n = 908), who received allogeneic hemopoietic cell transplantation (HCT) either for a malignant (n = 733) or nonmalignant hematologic disease (n = 175). The median follow-up of 438 transplant survivors was 17 years. Twelve patients developed SOC at a median of 13.5 years since HCT and at a median age of 47 years. The 35-year cumulative incidence function of SOC development was 3.47%. In univariate analysis, factors associated with increased incidence of SOC were reduced intensity conditioning and chronic graft-versus-host disease (cGvHD). On multivariate analysis, nonmalignant disease and duration of oral cGvHD ≥15 months were independent risk factors for SOC development. Nonmalignant disease recipients had 3.94× higher than expected rate of SOC (95% confidence interval, 1.50-10.39%, p = 0.0055). Recipients whose oral cGvHD persisted for more than ≥15 months had 58.6× higher than expected rate of SOC (95% confidence interval, 13.3-258.1%), p < 0.0001). This study demonstrates that oral cGvHD and a diagnosis of nonmalignant hematologic disease are strong risk factors in the SOC development.

Improving Oral Cancer Outcomes with Imaging and Artificial Intelligence

Early diagnosis is the most important determinant of oral and oropharyngeal squamous cell carcinoma (OPSCC) outcomes, yet most of these cancers are detected late, when outcomes are poor. Typically, nonspecialists such as dentists screen for oral cancer risk, and then they refer high-risk patients to specialists for biopsy-based diagnosis. Because the clinical appearance of oral mucosal lesions is not an adequate indicator of their diagnosis, status, or risk level, this initial triage process is inaccurate, with poor sensitivity and specificity. The objective of this study is to provide an overview of emerging optical imaging modalities and novel artificial intelligence-based approaches, as well as to evaluate their individual and combined utility and implications for improving oral cancer detection and outcomes. The principles of image-based approaches to detecting oral cancer are placed within the context of clinical needs and parameters. A brief overview of artificial intelligence approaches and algorithms is presented, and studies that use these 2 approaches singly and together are cited and evaluated. In recent years, a range of novel imaging modalities has been investigated for their applicability to improving oral cancer outcomes, yet none of them have found widespread adoption or significantly affected clinical practice or outcomes. Artificial intelligence approaches are beginning to have considerable impact in improving diagnostic accuracy in some fields of medicine, but to date, only limited studies apply to oral cancer. These studies demonstrate that artificial intelligence approaches combined with imaging can have considerable impact on oral cancer outcomes, with applications ranging from low-cost screening with smartphone-based probes to algorithm-guided detection of oral lesion heterogeneity and margins using optical coherence tomography. Combined imaging and artificial intelligence approaches can improve oral cancer outcomes through improved detection and diagnosis.

Healthcare Professional in the Loop (HPIL): Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging

Oral mucosal lesions (OML) and oral potentially malignant disorders (OPMDs) have been identified as having the potential to transform into oral squamous cell carcinoma (OSCC). This research focuses on the human-in-the-loop-system named Healthcare Professionals in the Loop (HPIL) to support diagnosis through an advanced machine learning procedure. HPIL is a novel system approach based on the textural pattern of OML and OPMDs (anomalous regions) to differentiate them from standard regions of the oral cavity by using autofluorescence imaging. An innovative method based on pre-processing, e.g., the Deriche-Canny edge detector and circular Hough transform (CHT); a post-processing textural analysis approach using the gray-level co-occurrence matrix (GLCM); and a feature selection algorithm (linear discriminant analysis (LDA)), followed by k-nearest neighbor (KNN) to classify OPMDs and the standard region, is proposed in this paper. The accuracy, sensitivity, and specificity in differentiating between standard and anomalous regions of the oral cavity are 83%, 85%, and 84%, respectively. The performance evaluation was plotted through the receiver operating characteristics of periodontist diagnosis with the HPIL system and without the system. This method of classifying OML and OPMD areas may help the dental specialist to identify anomalous regions for performing their biopsies more efficiently to predict the histological diagnosis of epithelial dysplasia.

Saliva Preparation Method Exploration for ATR-FTIR Spectroscopy: Towards Bio-fluid Based Disease Diagnosis

Saliva has garnered a lot of interest as a non-invasive, easy to collect, and biochemical rich sample for attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) based disease diagnosis. Although a large number of studies have explored its potential, the preparation methods used differ greatly. For large scale clinical studies to aid translation into clinics, the collection/processing methodology needs to be standardized. Therefore, in this study, we explored different saliva collection (spitting, method A/cotton soaking, method B) and processing protocols (unprepared, TS; supernatant from the centrifugation, CS; and drying, C) to find which gives the best ATR-FTIR signals. Analysis showed highest proteins, carbohydrates, amino acids, and nucleic acid + proteins/lipids in BTS, BCS, ACS, and BC, respectively. Notably, only BC shows a 1377 cm-1 nucleic acid band that is also uniquely identified in multivariate analysis. We conclude that the collection-processing protocol should be based on a biochemical component that best gives a differential diagnosis.

Optimized liquid-based cytology for the cellular and molecular analysis of oral keratinocytes: A promising diagnostic tool

BACKGROUND

Liquid-based cytology (LBC) has improved exfoliative cytology by facilitating the extraction of more precise information from epithelial cells. The aim of this study was to optimize a protocol using a conventional cytobrush to perform LBC, obtaining oral keratinocytes for their further cellular and molecular analysis.

METHODS

LBC was performed in 30 healthy donors from buccal mucosa. We evaluated the use of diethyl pyrocarbonate (DEPC)-treated Dulbecco's Modified Eagle Medium (DMEM) medium right after the collection of the cells. Cell morphology and viability were determined by Orcein staining and flow cytometry, respectively. RNA was extracted by the trizol method, and evaluated with spectrometry and electrophoresis. Finally, RNA was copied into cDNA and GAPDH and TLR2 genes were amplified by reverse transcription polymerase chain reaction (RT-PCR) and quantitative reverse transcription polymerase chain reaction (RT-qPCR) using specific primers.

RESULTS

Only DEPC-treated DMEM preserved the viability of intact intraepithelial keratinocytes. RNA quantity and quality improves in samples treated with DEPC. RNA integrity is comparable with a cell line control. GAPDH gene was successfully amplified by RT-PCR and RT-qPCR.

CONCLUSIONS

Therefore, LBC performed under these conditions becomes a reproducible technique for the retrieval of intraepithelial oral keratinocytes with good cell viability for cytomorphometric analysis, and extraction of good RNA quality suitable for molecular analyses such as PCR. We propose this LBC protocol as a complementary method to the cellular and molecular study of oral mucosa pathologies; however, it requires further study.

Insights of primary health care providers regarding opportunistic screening of oral cancer/precancers in Patna, Bihar

Background

Clinical opportunistic screening can be valuable for diagnosis of oral cancer/precancer prior to development of symptoms. Thus, the aim of the present study is to assess the knowledge, perceptions, and present practices of primary health care providers regarding oral cancer screening.

Material and Methods

This cross-sectional questionnaire study was carried out on doctors working in primary health centres of Patna district, Bihar. A total of 10 questions in true/false or multiple choice format assessed the knowledge on oral cancer screening. Attitude and practices were evaluated by seven questions each on a 5-point Likert scale. Unpaired t-test and one-way ANOVA followed by post hoc test was applied to determine the significance difference between the mean scores of knowledge and demographic variables. The significance level was set at below 0.05.

Results

The total mean knowledge scores were 6.5 ± 2.17. Response analysis showed that regarding opinion on only 28% health care providers agreed or strongly agreed that they have adequate knowledge regarding detection of oral cancer. It was found that 44.7% never/rarely examined the oral cavity of the patient. Only 14% and 16% doctors aid with the cessation of habits and advised dietary changes in patients with precancerous lesions/conditions, respectively.

Conclusion

Capacity building of primary care physicians is very crucial for a successful screening program. The present study reveals that the training activities of healthcare providers in oral screening need to be reinforced.

Improvement of oral cancer screening quality and reach: The promise of artificial intelligence

Oral cancer is easily detectable by physical (self) examination. However, many cases of oral cancer are detected late, which causes unnecessary morbidity and mortality. Screening of high-risk populations seems beneficial, but these populations are commonly located in regions with limited access to health care. The advent of information technology and its modern derivative artificial intelligence (AI) promises to improve oral cancer screening but to date, few efforts have been made to apply these techniques and relatively little research has been conducted to retrieve meaningful information from AI data. In this paper, we discuss the promise of AI to improve the quality and reach of oral cancer screening and its potential effect on improving mortality and unequal access to health care around the world.

Validation of the use of a fluorescent PARP1 inhibitor for the detection of oral, oropharyngeal and oesophageal epithelial cancers

For oral, oropharyngeal and oesophageal cancer, the early detection of tumours and of residual tumour after surgery are prognostic factors of recurrence rates and patient survival. Here, we report the validation, in animal models and a human, of the use of a previously described fluorescently labelled small-molecule inhibitor of the DNA repair enzyme poly(ADP-ribose) polymerase 1 (PARP1) for the detection of cancers of the oral cavity, pharynx and oesophagus. We show that the fluorescent contrast agent can be used to quantify the expression levels of PARP1 and to detect oral, oropharyngeal and oesophageal tumours in mice, pigs and fresh human biospecimens when delivered topically or intravenously. The fluorescent PARP1 inhibitor can also detect oral carcinoma in a patient when applied as a mouthwash, and discriminate between fresh biopsied samples of the oral tumour and the surgical resection margin with more than 95% sensitivity and specificity. The PARP1 inhibitor could serve as the basis of a rapid and sensitive assay for the early detection and for the surgical-margin assessment of epithelial cancers of the upper intestinal tract.

Diagnostic accuracy of brush biopsy-based cytology for the early detection of oral cancer and precursors in Fanconi anemia

BACKGROUND

Individuals with Fanconi anemia (FA) have a 500-fold to 700-fold elevated risk, much earlier onset, and limited therapeutic options for oral squamous cell carcinoma (SCC) compared with the general population. The early detection of SCC, or preferably its precursors, is mandatory to retain curative therapeutic options. Due to frequent synchronic and metachronic oral lesions, tissue biopsies, as usually recommended by guidelines, often are not feasible. In the current study, an alternative strategy for early detection using oral brush biopsy-based cytology was validated regarding its diagnostic accuracy.

METHODS

Over a 12-year period, the oral cavities of a large cohort of 713 individuals with FA were inspected systematically and brush biopsy-based cytology of 1233 visible oral lesions was performed. In cases of inconclusive cytology, analysis of DNA ploidy was performed whenever possible. The results were correlated to a long-term clinicopathological follow-up reference standard.

RESULTS

A total of 737 lesions were suitable for statistical analysis, including 86 lesions with at least high-grade oral epithelial dysplasia in 30 patients. For cytology, the sensitivity and specificity were 97.7% and 84.5%, respectively. Additional analysis of DNA ploidy increased the sensitivity and specificity to 100% and 92.2%, respectively.

CONCLUSIONS

Careful inspection of the oral cavity of individuals with FA followed by brush biopsy-based cytology appears to identify visible oral, potentially malignant and malignant lesions that warrant treatment. Approximately 63% of SCC and precursor lesions are detected at a noninvasive or early stage. Negative cytology or a lack of DNA aneuploidy can exclude high-grade oral epithelial dysplasia or SCC with high accuracy and thus reduce the need for invasive diagnostic biopsies.

Identification and validation of key modules and hub genes associated with the pathological stage of oral squamous cell carcinoma by weighted gene co-expression network analysis

Background

Oral squamous cell carcinoma (OSCC) is a major lethal malignant cancer of the head and neck region, yet its molecular mechanisms of tumourigenesis are still unclear.

Patients and methods

We performed weighted gene co-expression network analysis (WGCNA) on RNA-sequencing data with clinical information obtained from The Cancer Genome Atlas (TCGA) database. The relationship between co-expression modules and clinical traits was investigated by Pearson correlation analysis. Furthermore, the prognostic value and expression level of the hub genes of these modules were validated based on data from the TCGA database and other independent datasets from the Gene Expression Omnibus (GEO) database and the Human Protein Atlas database. The significant modules and hub genes were also assessed by functional analysis and gene set enrichment analysis (GSEA).

Results

We found that the turquoise module was strongly correlated with pathologic T stage and significantly enriched in critical functions and pathways related to tumourigenesis. PPP1R12B, CFD, CRYAB, FAM189A2 and ANGPTL1 were identified and statistically validated as hub genes in the turquoise module and were closely implicated in the prognosis of OSCC. GSEA indicated that five hub genes were significantly involved in many well-known cancer-related biological functions and signaling pathways.

Conclusion

In brief, we systematically discovered a co-expressed turquoise module and five hub genes associated with the pathologic T stage for the first time, which provided further insight that WGCNA may reveal the molecular regulatory mechanism involved in the carcinogenesis and progression of OSCC. In addition, the five hub genes may be considered candidate prognostic biomarkers and potential therapeutic targets for the precise early diagnosis, clinical treatment and prognosis of OSCC in the future.

Oral cancer diagnosis and perspectives in India

Globally, oral cancer is the sixth most common type of cancer with India contributing to almost one-third of the total burden and the second country having the highest number of oral cancer cases. Oral squamous cell carcinoma (OSCC) dominates all the oral cancer cases with potentially malignant disorders, which is also recognized as a detectable pre-clinical phase of oral cancer. Tobacco consumption including smokeless tobacco, betel-quid chewing, excessive alcohol consumption, unhygienic oral condition, and sustained viral infections that include the human papillomavirus are some of the risk aspects for the incidence of oral cancer. Lack of knowledge, variations in exposure to the environment, and behavioral risk factors indicate a wide variation in the global incidence and increases the mortality rate. This review describes various risk factors related to the occurrence of oral cancer, the statistics of the distribution of oral cancer in India by various virtues, and the socio-economic positions. The various conventional diagnostic techniques used routinely for detection of the oral cancer are discussed along with advanced techniques. This review also focusses on the novel techniques developed by Indian researchers that have huge potential for application in oral cancer diagnosis.

Efficacy and safety of cisplatin for the management of adult patients with oral cancer: A protocol for systematic review

BACKGROUND

Cisplatin is often used for the treatment of oral cancer (OC). However, there are inconsistent results. Thus, this study plans to systematically assess the clinical efficacy and safety of cisplatin for adult patients with OC.

METHODS

We will search for PUBMED, EMBASE, Cochrane Library, AMED, Cumulative Index to Nursing and Allied Health Literature, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure. All of them will be searched from the construction of each database up to the present with no restrictions of language and publication status. The data analysis will be conducted using RevMan 5.3 software to assess the efficacy and safety of cisplatin for adult patients with OC.

RESULTS

This study will summarize the most recent high-quality evidence and will provide helpful information about the efficacy and safety of cisplatin for adult patients with OC.

CONCLUSION

The findings of this study will provide convinced evidence of cisplatin for adult patients with OC, and provide recommendations for clinical practice.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42019156558.

Endogenous Fluorescence Lifetime Imaging (FLIM) Endoscopy For Early Detection Of Oral Cancer And Dysplasia

We have performed a pilot clinical study, in which multispectral endogenous fluorescence (or autofluorescence) lifetime imaging (FLIM) was performed on clinically suspicious oral lesions of 73 patients undergoing tissue biopsy for oral dysplasia and cancer diagnosis. The results from this pilot study indicated that mild-dysplasia and early stage oral cancer could be detected from benign lesions using a computed aided diagnosis system developed based on biochemical and metabolic biomarkers derived from the endogenous FLIM images. The diagnostic performance of this novel FLIM clinical tool was estimated using a leave-onepatient-out cross-validation approach, which reported levels of sensitivity >90%, specificity >85%, and Area Under the Receiving Operating Curve (ROC-AUC) >0.9.

Advances in oral cancer detection

High incidence of oral carcinoma and its late-stage presentation are the major global healthcare issues. The World Health Organization (WHO) has set early diagnosis and prevention of oral cancer as their primary objective. It is important to consider the time of oral screening, as it plays a pivotal role in understanding the disease prognosis. Critical signs and symptoms that can be identified during initial oral screening can improve the chances of patient's survival. Reports suggest that socio-economic factors, lack of public awareness and delays from primary health care centers are few of the major parameters that contribute to patient's mortality and morbidity. Conventional technique of visual examination of the oral lesion can effectively monitor patient mortality when exposed to risk factors. However, several disadvantages limit the clinical utility of this technique. Thus, screening aids that efficiently differentiate between a benign and malignant lesion as well as deliver information about early OSCC can ameliorate the complications associated with oral cancer diagnosis. Recent advances in optical imaging systems, such as tissue-fluorescence imaging and optical coherence tomography have been proved to be considerably efficient. Additionally, extensive research has been directed towards nanoparticle-based immunosensors, DNA analysis, and salivary proteomics. However, lack of proper clinical trials and correlation with biopsy result hinder the usage of these screening techniques in clinics. In this review, we highlight the importance of early diagnosis of oral cancer as well as discuss about the effectiveness and limitations of the recent diagnostic aids. It can be stated that public awareness regarding routine oral examination and employing screening methods that are non-invasive, robust, and economic, would enhance early stage diagnosis of oral cancer and have a positive impact on patient's survival.

Oral and Oropharyngeal squamous cell carcinoma: prognostic and predictive parameters in the etiopathogenetic route

INTRODUCTION

Oral and oropharyngeal squamous cell carcinoma (OSCC and OPSCC) represents an increasing problem in the global public health. Indeed, squamous cell carcinoma is the most frequent malignancy in oral cavity and 1 of the 10 most common cancers worldwide. According to the most recent GLOBOCAN estimate in Europe between 2012 and 2015, there was an overall increasing incidence and mortality for oral cancer, mostly HPV-related in the oropharyngeal region with evidence of significant differences from the prognostic and therapeutic point of view. Areas covered: Until now, the management of the patients is based on classical histologic parameters such as TNM and tumor grading, but new molecular and cell markers have been investigated to improve patients' treatment and survival. Therefore, there is a need for new biomarkers characterizing the cancer diversity, with the consequent possibility of patient stratification for specific treatment. Expert commentary: This review aims to discuss some of the most relevant and novel genetic, epigenetic, and histological prognostic biomarkers in oral cancer, highlighting the main differences between HPV-unrelated oral squamous cell carcinoma (OSCC) and HPV-related oropharyngeal squamous cell carcinoma (OPSCC) that may aid in stratifying prognostic subgroups and rationalizing treatment decisions.

A revisit at 16 years for individuals from peri-urban New Delhi for tobacco use and associated oral lesions

Objectives:

India has a high incidence of oral cancer due to multifarious tobacco use. The objective of this study was to assess the status of tobacco-related oral lesions over 16 years, in a screen-detected population.

Methods:

This cross-sectional study involved home visits of 2000 Delhi residents, previously screened for oral potentially malignant disorders/oral cancer and counseled for tobacco cessation. Their basic demographics and tobacco/alcohol history were noted followed by oral visual examination for any related mucosal abnormalities. The data thus obtained were statistically analyzed.

Results:

Two hundred and sixty-five individuals (13.2%) could be traced after 16 years. The status of oral lesions varied across the participants, mainly in terms of their location, type, number, and/or presence/absence; no oral malignancies were noted. Most individuals had either a decreased use (34%, p < 0.001) or had quit tobacco (25.7%, p < 0.001); 8.3% individuals from the former and 5.7% from the latter group showed complete lesion(s) regression. The overall change in the tobacco use and oral lesions showed a highly significant positive association ( p < 0.05).

Conclusion:

A direct relationship exists between tobacco use and oral lesions. Repeated, tobacco cessation counseling provided by health-care professionals is effective. Oral screening of high-risk individuals, along with tobacco cessation, is thus essential.

Toward early diagnosis of oral cancer: Diagnostic utility of cytomorphological features, a pilot study

Introduction:

Early detection of oral cancer is one of the most efficient ways to reduce the high mortality from this disease because of the ready accessibility of the oral cavity. We need to devise urgent diagnostic tools to detect early oral premalignant and malignant lesions.

Aim:

The aim of the present study was to grade the oral lesions in an attempt toward developing a novel cytological grading system. Further, morphometric analysis of cellular parameters was also performed to compare their significance in differentiating benign from malignant lesions.

Materials and Methods:

The present study was conducted at a tertiary care hospital catering to the low socioeconomic population. Patients presenting in the various Out Patient Departments with suspicious oral lesions were evaluated by cytology in the Department of Pathology.

Results:

A total of 72 patients were evaluated with a mean age of 43.54 ± 10.35 years. The involvement of the buccal mucosa was the most common site of oral lesions. Cytologically, the lesions were graded according to the oral/oro-pharyngeal cytology grading system into grades A to F. Cyto-morphometric analysis showed an increasing trend in mean nuclear diameter from benign to malignant cases while the mean cytoplasmic diameter decreased, value of P < 0.05 was observed indicating a statistically significant difference between the two groups.

Conclusions:

Cytological features of pleomorphism are a unique feature in oral carcinoma reflecting intracellular alterations in cells. Grading of lesions according to cytological characteristics can be helpful in standardizing the reporting of the oral lesion. However, our study was restricted by limited data; we emphasize more extensive studies to assess the usefulness and applicability of such a grading system. We also conclude that the use of cytomorphometry can improve the diagnostic reliability of exfoliative cytology.

Current Practice and Emerging Molecular Imaging Technologies in Oral Cancer Screening

Oral cancer is one of the most common cancers globally. Survival rates for patients are directly correlated with stage of diagnosis; despite this knowledge, 60% of individuals are presenting with late-stage disease. Currently, the initial evaluation of a questionable lesion is performed by a conventional visual examination with white light. If a lesion is deemed suspicious, a biopsy is taken for diagnosis. However, not all lesions present suspicious under visual white light examination, and there is limited specificity in differentiating between benign and malignant transformations. Several vital dyes, light-based detection systems, and cytology evaluation methods have been formulated to aid in the visualization process, but their lack of specific biomarkers resulted in high false-positive rates and thus limits their reliability as screening and guidance tools. In this review, we will analyze the current methodologies and demonstrate the need for specific intraoral imaging agents to aid in screening and diagnosis to identify patients earlier. Several novel molecular imaging agents will be presented as, by result of their molecular targeting, they aim to have high specificity for tumor pathways and can support in identifying dysplastic/cancerous lesions and guiding visualization of biopsy sites. Imaging agents that are easy to use, inexpensive, noninvasive, and specific can be utilized to increase the number of patients who are screened and monitored in a variety of different environments, with the ultimate goal of increasing early detection.