Ontology highlight
ABSTRACT: Background
Although many efforts have been devoted to identify biomarkers to predict the responsiveness of immune checkpoint inhibitors, including expression of programmed death-ligand 1 (PD-L1) and major histocompatibility complex (MHC) I, microsatellite instability (MSI), mismatch repair (MMR) defect, tumor mutation burden (TMB), tertiary lymphoid structures (TLSs), and several transcriptional signatures, the sensitivity of these indicators remains to be further improved.Materials and methods
Here, we integrated T-cell spatial distribution and intratumor transcriptional signals in predicting the response to immune checkpoint therapy in MMR-deficient tumors including tumors of Lynch syndrome (LS).Results
In both cohorts, MMR-deficient tumors displayed personalized
SUBMITTER: Zheng G
PROVIDER: S-EPMC10175608 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature