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- W2912698946 endingPage "44" @default.
- W2912698946 startingPage "32" @default.
- W2912698946 abstract "Immunotherapy has become the fourth cancer therapy after surgery, chemotherapy, and radiotherapy. In particular, immune checkpoint inhibitors are proved to be unprecedentedly in increasing the overall survival rates of patients with refractory cancers, such as advanced melanoma, non-small cell lung cancer, and renal cell carcinoma. However, inhibitor therapies are only effective in a small proportion of patients with problems, such as side effects and high costs. Therefore, doctors urgently need reliable predictive biomarkers for checkpoint inhibitor therapies to choose the optimal therapies. Here, we review the biomarkers that can serve as potential predictors of the outcomes of immune checkpoint inhibitor treatment, including tumor-specific profiles and tumor microenvironment evaluation and other factors." @default.
- W2912698946 created "2019-02-21" @default.
- W2912698946 creator A5007429945 @default.
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- W2912698946 creator A5053204257 @default.
- W2912698946 creator A5083265812 @default.
- W2912698946 creator A5090394529 @default.
- W2912698946 date "2019-01-24" @default.
- W2912698946 modified "2023-10-12" @default.
- W2912698946 title "Monitoring checkpoint inhibitors: predictive biomarkers in immunotherapy" @default.
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- W2912698946 doi "https://doi.org/10.1007/s11684-018-0678-0" @default.
- W2912698946 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30680606" @default.
- W2912698946 hasPublicationYear "2019" @default.