Ontology highlight
ABSTRACT: Background
Gastric cancer (GC) is believed to be one of the most common digestive tract malignant tumors. The prognosis of GC remains poor due to its high malignancy, high incidence of metastasis and relapse, and lack of effective treatment. The constant progress in bioinformatics and molecular biology techniques has given rise to the discovery of biomarkers with clinical value to predict the GC patients' prognosis. However, the use of a single gene biomarker can hardly achieve the satisfactory specificity and sensitivity. Therefore, it is urgent to identify novel genetic markers to forecast the prognosis of patients with GC.Materials and methods
In our research, data mining was applied to perform expression profile analysis of mRNAs in the 443 GC patients from The Cancer G
SUBMITTER: Zhao X
PROVIDER: S-EPMC7982000 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature