Mast Cell Infiltration and Subtype Promote Malignant Transformation of Oral Precancer and Progression of Oral Cancer.

Unlabelled: The role of mast cell (MC), a common myeloid-derived immune cell, in the development of oral squamous cell carcinoma (OSCC) is unclear. The aim of this study was to investigate MC infiltration in oral precancer and oral cancer. The evaluation of immune cell infiltration and its association with prognosis in OSCC used RNA sequencing and multiple public datasets.

Candida albicans-myeloid cells-T lymphocytes axis in the tumor microenvironment of oral tumor-bearing mice.

Candida albicans (C. albicans) is associated with the development of oral cancer. Here, we report the altered tumor microenvironment in oral tumor-bearing mice caused by C.

Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts.

Odontogenic keratocyst (OKC) is a common jaw cyst with a high recurrence rate. OKC combined with basal cell carcinoma as well as skeletal and other developmental abnormalities is thought to be associated with Gorlin syndrome. Moreover, OKC needs to be differentiated from orthokeratinized odontogenic cyst and other jaw cysts.

Genomic alterations in oral multiple primary cancers.

Oral squamous cell carcinoma (OSCC) is the predominant type of oral cancer, while some patients may develop oral multiple primary cancers (MPCs) with unclear etiology. This study aimed to investigate the clinicopathological characteristics and genomic alterations of oral MPCs. Clinicopathological data from patients with oral single primary carcinoma (SPC, n = 202) and oral MPCs (n = 34) were collected and compared.

Architectural and cytological features of epithelial dysplasia associated with transformation risk.

Objectives: This study explored associations between histological features of dysplasia and malignant transformation, as well as genomic copy number alterations.

Materials And Methods: Overall, 201 samples were collected from patients of oral leukoplakia. The associations of dysplastic features with malignant transformation and copy number alterations were investigated by Cox proportional hazards regression analysis and the Mann-Whitney U-test.

Biomarkers of malignant transformation in oral leukoplakia: from bench to bedside.

Oral leukoplakia is a common precursor lesion of oral squamous cell carcinoma, which indicates a high potential of malignancy. The malignant transformation of oral leukoplakia seriously affects patient survival and quality of life; however, it is difficult to identify oral leukoplakia patients who will develop carcinoma because no biomarker exists to predict malignant transformation for effective clinical management. As a major problem in the field of head and neck pathologies, it is imperative to identify biomarkers of malignant transformation in oral leukoplakia.

Isolation of Cells with Morphological and Spatial Information from Oral Submucous Fibrosis Samples by Laser Capture Microdissection.

Oral submucous fibrosis (OSF) is a common type of potentially malignant disorder in the oral cavity. The atrophy of epithelium and fibrosis of the lamina propria and the submucosa are often found on histopathological slides. Epithelial dysplasia, epithelial atrophy, and senescent fibroblasts have been proposed to be associated with the malignant transformation of OSF.

Molecular mechanisms underlying the epigallocatechin-3-gallate-mediated inhibition of oral squamous cell carcinogenesis.

Objectives: To reveal the mechanisms underlying the epigallocatechin-3-gallate (EGCG)-mediated inhibition of carcinogenesis and the related regulatory signaling pathways.

Design: The effect of EGCG on the proliferation of OSCC cells was examined. SuperPred, ChEMBL, Swiss TargetPrediction, DisGeNET, GeneCards, and National Center for Biotechnology Information databases were used to predict the EGCG target genes and oral leukoplakia (OL)-related, oral submucosal fibrosis (OSF)-related, and OSCC-related genes.

Development of a Pathomics-Based Model for the Prediction of Malignant Transformation in Oral Leukoplakia.

Accurate prognostic stratification of oral leukoplakia (OLK) with risk of malignant transformation into oral squamous cell carcinoma is crucial. We developed an objective and powerful pathomics-based model for the prediction of malignant transformation in OLK using hematoxylin and eosin (H&E)-stained images. In total, 759 H&E-stained images from multicenter cohorts were included.

The preliminary exploration of immune microenvironment in oral leukoplakia concomitant with oral submucosal fibrosis: A comparative immunohistochemical study.

Background: Oral leukoplakia concomitant with oral submucous fibrosis is a high-risk oral potentially malignant disorder, but little is known about its immune microenvironment.

Methods: Thirty samples of oral leukoplakia concomitant with oral submucous fibrosis, 30 oral leukoplakia samples, and 30 oral submucous fibrosis samples were collected from two hospitals. Immunohistochemistry was performed to analyze expression of T cell biomarkers [CD3, CD4, CD8, and Forkhead box P3 (Foxp3)], a B cell biomarker (CD20), macrophage biomarkers (CD68 and CD163), an immune inhibitory receptor ligand (PD-L1), and Ki-67.

Bibliometric analysis of immunotherapy for head and neck squamous cell carcinoma.

Background/purpose: Head and neck squamous cell carcinoma (HNSCC) is a serious disease endangering the health of patients, and the application of immunotherapy in HNSCC is gradually emerging. However, there is no bibliometric analysis in this research field. This study aims to provide a comprehensive overview of the knowledge structure and research hotspots of immunotherapy for HNSCC.

Clinical and prognostic features of multiple primary cancers with oral squamous cell carcinoma.

Objective: To characterize the epidemiological, clinical, and prognostic features of multiple primary cancers (MPC) following oral squamous cell carcinoma (OSCC).

Design: Data from the Surveillance, Epidemiology, and End Results Program database were analyzed to determine the standardized incidence ratio (SIR) of multiple subsequent sites, difference in clinical and prognostic features between MPC and single primary OSCC.

Results: The sites with the highest SIRs were the oral cavity (SIR = 69.

Screening for Biomarkers for Progression from Oral Leukoplakia to Oral Squamous Cell Carcinoma and Evaluation of Diagnostic Efficacy by Multiple Machine Learning Algorithms.

The aim of the study is to identify key genes during the progression from oral leukoplakia (OL) to oral squamous cell carcinoma (OSCC) and predict effective diagnoses. Weighted gene co-expression network analysis (WGCNA) and differential expression analysis were performed to identify seven genes associated with the progression from OL to OSCC. Twelve machine learning algorithms including k-nearest neighbor (KNN), neural network (NNet), and extreme gradient boosting (XGBoost) were used to construct multi-gene models, which revealed that each model had good diagnostic efficacy.

Overestimated risk of transformation in oral lichen planus.

Objectives: Oral lichen planus (OLP) was classified as an oral potentially malignant disorder due to the association with oral squamous cell carcinoma (OSCC). However, the malignant potential of OLP has been controversial. Whether epithelial dysplasia should be differentiated from OLP and lichenoid dysplasia could be identified as a pathological entity has been the subject of debate.

Clinicopathological factors associated with progression of oral submucous fibrosis: A population-based retrospective study.

Oral submucosal fibrosis was one of the oral potentially malignant disorders, which has become a global epidemic disease. This study aimed to investigate the clinicopathological features associated with the disease progression of oral submucosal fibrosis. We recruited 700 cases of oral submucosal fibrosis in the Department of oral pathology, Xiangya Stomatological Hospital, Central South University from July 1996 to July 2019, and analyzed the association among staging of oral submucosal fibrosis and age, sex, sites, duration of areca nut chewing.

Development and validation of a nomogram prediction model for malignant transformation of oral potentially malignant disorders.

Objective: Oral potentially malignant disorders have increased the risk of oral squamous cell carcinoma. This study developed a nomogram model to assess the risks of malignant transformation of oral potentially malignant disorders.

Materials And Methods: A retrospective analysis of patients diagnosed with oral potentially malignant disorders confirmed by pre-treatment biopsy was performed between 2010 and 2017 at the Peking University Hospital of Stomatology.

Could the socket shield technique be better than conventional immediate implantation? A meta-analysis.

Objectives: The purpose of this study was to evaluate whether the clinical outcome of socket shield technique (SST) is superior to that of conventional immediate implantation (CII).

Materials And Method: Five electronic databases (PubMed, Cochrane, Web of Science, CNKI, and Google Scholar) were searched to identify randomized controlled trials up to June 31, 2021. Five evaluation indexes were extracted, namely, buccal bone resorption at the horizontal and vertical levels (BBH and BBV), the soft tissue recession assessed by pink evaluation scores (PES), patient satisfaction (PS), ISQ, and the success rate of implantation (SRI), to compare the superiority between SST and CII operations.

Multi-target pharmacological mechanisms of Salvia miltiorrhiza against oral submucous fibrosis: A network pharmacology approach.

Objectives: The herb Salvia miltiorrhiza is used to treat oral submucous fibrosis (OSF); however, the mechanism underlying its efficacy has not been elucidated. As such, a network pharmacology-based approach was applied to investigate the potential mechanisms of Salvia miltiorrhiza against OSF.

Materials And Methods: Potential targets of Salvia miltiorrhiza were collected by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine, and Swiss Target Prediction.

Progress in the study of long noncoding RNA in tongue squamous cell carcinoma.

Tongue squamous cell carcinoma (TSCC) is the most common and highly malignant oral squamous cell carcinoma (OSCC) with lymph node metastasis or distant organ metastasis and, thus, low overall survival rates. Studies on the molecular mechanism of the biologic characteristics of TSCC and exploration of targeted therapies have become the frontiers in the research of this disease. Long noncoding RNA (lncRNA), a type of noncoding RNA, plays a key role in the occurrence and development of tumors.

Progress in targeted therapeutic drugs for oral squamous cell carcinoma.

With the rapid development of biomedicine, people have a deeper understanding with the biological characteristics of malignant tumors, and begin to notice that in most tumors, there are over-expression of several molecules such as epidermal growth factor receptor(EGFR), vascular endothelial growth factor (VEGF) and its receptors,mammalian target of rapamycin(mTOR),programmed cell death receptor-1(PD-1),cyclin-dependent kinases(CDKs) and so on, whose levels are closely related to the prognosis of tumors. It has been found that the drugs targeting the above molecules can significantly improve the survival rate of cancer patients, and have the advantages of high selectivity, low toxicity and high therapeutic index. Targeted drugs, as new ones in the field of cancer, have achieved good efficacy in most tumor treatments.

Distant metastases in newly diagnosed tongue squamous cell carcinoma.

Objective: To characterize the incidence and survivals of patients with distant metastases in newly diagnosed tongue squamous cell carcinoma.

Materials And Methods: Patients with distant metastases in newly diagnosed tongue squamous cell carcinoma were collected from the Surveillance, Epidemiology, and End Results database. Data were classified by sex, age, race, insurance status, T stage, N stage and grade.