Large-scale database mining reveals hidden trends and future directions for cancer immunotherapy.

ABSTRACT: Cancer immunotherapy has fundamentally changed the landscape of oncology in recent years and significant resources are invested into immunotherapy research. It is in the interests of researchers and clinicians to identify promising and less promising trends in this field in order to rationally allocate resources. This requires a quantitative large-scale analysis of cancer immunotherapy related databases. We developed a novel tool for text mining, statistical analysis and data visualization of scientific literature data. We used this tool to analyze 72002 cancer immunotherapy publications and 1469 clinical trials from public databases. All source codes are available under an open access license. The contribution of specific topics within the cancer immunotherapy field has markedly shifted o

SUBMITTER: Kather JN 

PROVIDER: S-EPMC5993505 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature