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Objective To screen the potential key genes of osteosarcoma by bioinformatics methods and analyze their immune infiltration patterns. Methods The gene expression profiles GSE16088 and GSE12865 associated with osteosarcoma were obtained from the Gene Expression Omnibus(GEO),and the differentially expressed genes(DEGs)related to osteosarcoma were screened by bioinformatics tools.Gene Ontology(GO)annotation,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment,and analysis of immune cell infiltration were then carried out for the DEGs.The potential Hub genes of osteosarcoma were identified by protein-protein interaction network,and the expression of Hub genes in osteosarcoma and normal tissue samples was verified

Population-based cancer registration has never been carried out before in Guangzhou. This study was to analyze the cancer incidence and mortality in Guangzhou and to provide references for prevention and treatment of cancer.Data of cancer incidence and mortality during 2000--2002 were collected from Guangzhou Population-based Cancer Registry. Cancer incidence and mortality were calculated and analyzed.The crude cancer incidence during 2000--2002 in Guangzhou was 227.7 per 100,000 (257.0 per 100,000 in males and 196.5 per 100,000 in females)û the crude cancer mortality was 147.9 per 100,000 (183.6 per 100,000 in males and 109.7 per 100,000 in females). The incidence of lung cancer ranked first followed by those of liver cancer, nasopharyngeal cancer, gastric cancer and colon cancer in males. Breast cancer was the leading cancer in females followed by those of lung cancer, liver cancer, colon cancer and nasopharyngeal cancer. The cancer incidence and mortality increased with age.Cancer incidence is high in Guangzhou, and the research for prevention and treatment of cancer should be enhanced.