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Background/purpose: Telemedicine has gained the popularity during COVID-19 pandemic. "Teledentistry" as the dental application of telemedicine was also with increased attention. The bibliometric analysis was employed to examine the global research trends and the current implementation status of teledentistry. Materials and methods: Titles and subjects were searched in the Web of Science database by using the keywords "teledentistry OR oral telemedicine OR dental telemedicine OR telemedicine in dentistry" in the category of Dentistry, Oral Surgery & Medicine. Documents were collected from the establishment date up to December 31, 2023. Microsoft Excel was used for the descriptive and statistical analyses. The data were exhibited with visualization by VOSviewer. Results: A total of 146 articles were identified for bibliometric analysis. An upward trend in the number of publications was evident. The statistical analysis indicated a notable increased teledentistry publications affected by COVID-19 pandemic (P < 0.01). The applications of teledentistry were mainly related to clinical practice (89.73%), such as oral and maxillofacial surgery, orthodontics, dental caries, oral mucosal lesions, and dental emergencies. For geographic distributions, the United States lead with 46 publications (34%) by corresponding authors listed in the article. The keyword network analysis highlighted the prominent research areas and the changes influenced by the pandemic and technological development, respectively. Conclusion: This bibliometric study provided an overview of the progress, trends and current directions for teledentistry in the fields of dentistry, oral surgery and medicine.
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Colorectal cancer (CRC) remains a significant contributor to cancer-related mortality, emphasizing the critical need for identifying biomarkers that can improve clinical management and patient outcomes. In this retrospective study, we analyzed tumor samples from 25 patients with metastatic CRC, categorized based on long-term (> 50 months) or short-term (< 10 months) survival. Employing the PanCancer Immune Profile Panel, encompassing 770 genes, in the discovery dataset, we identified 54 differentially expressed genes (DEGs) within the tumor microenvironment of metastatic CRC. Validation of potential biomarkers was performed using two publicly available RNA-based sequencing datasets (TCGA 1 (n=371) and TCGA 2 (n=566)). Univariate COX regression unveiled that three significant biomarkers were associated with overall survival in CRC within the discovery dataset, which were SLC11A1 (hazard ratio (HR): 4.09, P=0.012), TNFSF11 (HR: 3.67, P=0.02), and MEF2C (HR: 0.34, P=0.037). Kaplan-Meier survival curve analyses confirmed the correlation between SLC11A1 expression and overall survival in CRC across the discovery set (P=0.0071) and the two independent datasets (TCGA 1 (P=0.0016) and TCGA 2 (P=0.025)). Receiver operating characteristic curve analysis demonstrated an area under the curve ranging from 0.64 to 0.76, with sensitivity of 59% to 87% and specificity of 60% to 73% for predicting CRC overall survival. Immunohistochemistry staining further validated the strong expression of SLC11A1 protein in CRC tumor cells, with high expression correlating with short-term survival. These findings suggest that SLC11A1 serves as a predictive biomarker for overall survival in CRC patients.