Background: COVID-19 has a significant impact on dental medicine. The present study aims to overview dental-related research on COVID-19 by visual mapping method.Methods: We analyzed the publications in the “Dentistry Oral Surgery Medicine” category in the Web of Science core collection. On June 10, 2022, we conducted an advanced search using the items TS = (“Novel coronavirus 2019” or “COVID 19” or “Coronavirus disease 2019” or “2019-nCOV” or “SARS-CoV-2” or “coronavirus-2”) and WC = (“Dentistry Oral Surgery medicine”) to screen publications in the dental field that focus on COVID-19 or SARS-CoV-2. The contributions of authors, journals, institutions, and countries were described using Microsoft Excel 2010 and VOSviewer. The keywords co-occurring analysis and references analysis were visualized using VOSviewer and CiteSpace.Results: A total of 1,732 papers were identified between 2020 and 2022. The United States, the United Kingdom, and Brazil were three major contributors to this field. Univ São Paulo (Brazil) ranked first with 55 publications in this field. Martelli Junior, Hercilio from Universidade Jose do Rosario Vellano (Brazil) was the most prolific author with 19 publications. Oral Diseases and British Dental Journal were the two most productive journals. The central topics were dental practice and infection control, oral manifestation related to COVID-19, dental education and online learning, teledentistry, and mental health problems.Conclusion: The growth rate of publications regarding dental research on COVID-19 has risen sharply. Research topics shifted from “Dental practice and infection control, oral manifestation related to COVID-19” in 2020 to “Dental education and online learning, teledentistry, mental health problems,” which are three important research topics for the future.

Background: DEP domain containing 1 (DEPDC1) gene is upregulated in several malignancies and contributes to tumorigenesis. Although the role of DEPDC1 in tumor is becoming increasingly popular, the function of DEPDC1 in pan-cancer still needs to be systematically elucidated. Methods: Data were downloaded from Genotype-Tissue Expression Data (GTEx), The Cancer Genome Atlas (TCGA) TIMER2.0, TISIDB, STRING, and CancerSEA databases and analyzed to determine the functionality of the DEPDC1. The results were visualized using tools provided by the databases and the R language. Results: The results showed that DEPDC1 was significantly upregulated in 29 of the 33 human cancers analyzed. In addition, there were significant differences in DEPDC1 expression among cancer immune and molecular subtypes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that DEPDC1 was mainly involved in the cell cycle, and CancerSEA analysis showed that DEPDC1 promoted cell cycle, DNA repair, DNA damage, and proliferation in pan-cancer. Receiver operating characteristic (ROC) curve analysis showed high predictive accuracy for pan-cancer. DEPDC1 expression was positively correlated with activated CD4⁺ T helper 2 cells and common lymphoid progenitor cells, and negatively correlated with natural killer (NK) T cells, CD4⁺ central memory T cells, and CD4⁺ effector memory T cells. Furthermore, DEPDC1 was significantly positively correlated with T cell exhaustion marker genes, such as CD274, transforming growth factor beta receptor 1 (TGFBR1), kinase insert domain receptor (KDR), programmed cell death 1 ligand 2 (PDCD1LG2), granzyme B (GZMB), and granulysin (LAG2). Additionally, DEPDC1 was associated with overall survival (OS), disease-specific survival (DSS), and progress-free interval (PFI) prognosis in multiple tumor types. The ROC analysis showed high predictive accuracy for pan-cancer. Conclusions: Collectively, DEPDC1 is aberrantly expressed and plays an immune-oncogenic role in pan-cancer, and DEPDC1 may serve as a biomarker for cancer diagnosis and therapy.