Glioma Research in the era of medical big data

Abstract

Glioma is the most common type of malignant tumor of the central nervous system. Studies of the biological mechanism behind its occurrence and development have significant importance in better understanding glioma. In the era of multiomics and big data, glioma research is undergoing a paradigm shift from traditional standardized medical models to precision medicine. Big data in glioma research is in its infancy, and as such, there are exciting opportunities to take advantage of. However, there are also major challenges that must be addressed. This review introduces a series of changes in glioma research brought about by medical big data. It further elaborates on how big data bioinformatic analyzes can contribute to the identification of molecular targets, leading to molecular pathological diagnosis and the promotion of precision medicine of glioma.