Practical prediction model of the clinical response to programmed death-ligand 1 inhibitors in advan...
Practical prediction model of the clinical response to programmed death-ligand 1 inhibitors in advanced gastric cancer
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Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
The identification of predictive biomarkers or models is necessary for the selection of patients who might benefit the most from immunotherapy. Seven histological features (signet ring cell [SRC], fibrous stroma, myxoid stroma, tumor-infiltrating lymphocytes [TILs], necrosis, tertiary lymphoid follicles, and ulceration) detected in surgically resec...
Alternative Titles
Full title
Practical prediction model of the clinical response to programmed death-ligand 1 inhibitors in advanced gastric cancer
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TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9731716
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9731716
Other Identifiers
ISSN
1226-3613
E-ISSN
2092-6413
DOI
10.1038/s12276-021-00559-1
