Abstract
The Database of Human Gastric Cancer (DBGC) is a comprehensive database that integrates various human gastric cancer-related data resources. Human gastric cancer-related transcriptomics projects, proteomics projects, mutations, biomarkers and drug-sensitive genes from different sources were collected and unified in this database. Moreover, epidemiological statistics of gastric cancer patients in China and clinicopathological information annotated with gastric cancer cases were also integrated into the DBGC. We believe that this database will greatly facilitate research regarding human gastric cancer in many fields. DBGC is freely available at http://bminfor.tongji.edu.cn/dbgc/index.do
Highlights
Data Availability Statement: Data are availabe via Datadryad
Along with the epidemiological statistics of gastric cancer patients in China and the clinicopathological information annotated with gastric cancer cases, all these data were extracted from public databases, publications and published literature
The quick search function module makes identifying the role of a gene or protein in gastric cancer possible via inputting keywords into the search box located at the navigation bar
Summary
Data ResourcesThe Database of Human Gastric Cancer (DBGC) has integrated the following gastric cancerrelated resources: 1. Epidemiological statistics of gastric cancer patients in China from CDC publications3. Epidemiological statistics of gastric cancer patients in China from CDC publications. 1) Epidemiological statistics of gastric cancer patients in China. The CDC has had an established cancer reporting system for many years and has accumulated abundant epidemiological information on cancer patients in China. The epidemiological statistics of gastric cancer, including case number, death number, incidence rate (crude rate, age-adjusted rate and cumulative rate), mortality rate (crude rate, age-adjusted rate and cumulative rate), and incidence (or mortality) distribution by age group were extracted manually from CDC publications. The classification and staging methods generally used for gastric cancer diagnosis were annotated using gastric cancer cases diagnosed at Ruijin Hospital. Typical gastric cancer tissues of different stages and types were selected from a gastric cancer biobank that we have maintained for years. All patient information was anonymized and de-identified before our analysis
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