No abstract

Oral squamous cell carcinoma (OSCC) is predominantly a disease of middle-aged men with long-term exposure to tobacco and alcohol. An increasing trend has been reported at a younger age worldwide. Clinical records of 100 patients under the age of 45 years treated specifically for oral cavity SCC in our hospital during a 10-year period were retrospectively analyzed to calculate the survival rates. An obvious male predominance coincided with smoking trend among Chinese young individuals and female patients were more likely to have no traditional risk factors such as smoking or drinking. The 5-year overall survival rate and disease-free survival rate were 61.0% and 75.5%, respectively, consistent with other published series over the decade showing a relatively better survival among the young. No significant differences clearly correlated with outcome when comparing non-smokers non-drinkers to ever-smokers and ever drinkers (P>0.05). Overall survival rate and disease free survival rate was found to be significantly higher in patients with early-stage disease than with advanced stage disease (P=0.001, P=0.009 respectively). The strong influence of clinical stage on prognosis emphasizes the importance of early diagnosis and treatment of oral malignancies for this unique clinical subgroup.

Surgery combined with postoperative I seed brachytherapy is effective and safe in the treatment of MEC of the parotid gland in pediatric patients, with no evidence of severe late radiation-related complications. More patients and longer follow-up data are still needed to prove the efficacy of I brachytherapy.

Background:The purposes of this study were to assess the influence of age on oral squamous cell carcinoma patients and sought to analyze the reasons that may contribute to this difference.Methods: This study enrolled 2,782 patients included 2,443 patients in a retrospective cohort to find the influence of age and 339 patients in a prospective cohort to testify these findings. The patients were divided into young age-group (≤40 years old), moderate age-group (41-75 years old), and advanced age-group (>75 years old). All patients were diagnosed as oral squamous cell carcinoma and were surgically treated in our hospital. Chi-square test, Kaplan-Meier analysis, and Cox proportional-hazards regression model were performed for statistical analysis.Results: Younger patients started smoking (p < 0.001) and drinking (p < 0.001) earlier than the older patients and consumed more tobacco (p = 0.005) and alcohol (p = 0.156). Patients with advanced age had worse outcomes in both recurrence (p = 0.002) and survival (p < 0.001). They also had more severe comorbidity (p < 0.001) and were more likely to receive conservative treatment (p = 0.011). Conclusions:Compared with young patients, older patients had worse prognosis, and it was related with their more severe comorbidity and received more conservative treatment. Young adults smoking and drinking earlier and heavier than old patients, it may relate with their occurrence of oral squamous cell carcinoma. K E Y W O R D Sage, comorbidity, oral squamous cell carcinoma, prognosis, treatment | 731 XU et al.

Objectives. Oral squamous cell carcinoma (OSCC) is the most common oral cancer and has a poor prognosis. We aimed to identify new biomarkers or potential therapeutic targets for OSCC. Materials and Methods. Four pairs of tumor and adjacent normal tissues were collected from OSCC patients, and differentially expressed genes (DEGs) were screened via high-throughput RNA sequencing (RNA-seq). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were used to analyze the DEGs. A protein-protein interaction (PPI) network was established with the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and Cytoscape, and two significant clusters were found. Candidate genes were screened by analyzing head and neck squamous cell carcinoma (HNSCC) data from The Cancer Genome Atlas (TCGA). A DEG-based risk model was established to predict the overall survival (OS) of OSCC patients via Kaplan-Meier analysis and the log-rank test. Furthermore, univariate Cox regression analysis was applied to assess associations between potential biomarkers and the overall survival rate. Results. Of 720 total DEGs, fifty-two DEGs in the two subclusters of the PPI network analysis were selected. A risk model was established, and five candidate genes (SPRR2E, ICOS, CTLA4, HTR1D, and CCR4) were identified as biomarkers of OS in OSCC patients. Conclusions. We successfully constructed a prognostic signature to predict prognosis and identified five candidate genes associated with the OS of OSCC patients that are potential tumor biomarkers and targets in OSCC.