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Biology subjects

Zang, Y.

Publications and source records attributed to Zang, Y..

2 recordsLinked to original sources

Comprehensive analysis of potential immunotherapy genomic biomarkers in 1,000 Chinese patients with cancer

BackgroundTumor mutation burden (TMB), DNA mismatch repair deficiency (dMMR), microsatellite instability (MSI), and PD-L1 amplification (PD-L1 AMP) may predict the efficacy of PD-1/PD-L1 blockade. In this study, we aimed to characterize the distributions of these biomarkers in over 1,000 Chinese patients with cancer.\n\nMethodsTMB, MSI, dMMR, and PD-L1 AMP were determined based on whole-exome sequencing of tumor/blood samples from > 1,000 Chinese patients with cancer.\n\nResultsIncidence rates among 953 Chinese patients with cancer showing high TMB (TMB-H), high MSI (MSI-H), dMMR and PD-L1 AMP were 35%, 4%, 0.53% and 3.79%, respectively. We found higher rates of TMB-H among hepatocellular carcinoma, breast cancer, and esophageal cancer patients than was reported for The Cancer Genome Atlas data. Lung cancer patients with EGFR mutations had significantly lower TMB values than those with wild-type EGFR, and increased TMB was significantly associated with dMMR in colorectal cancer (CRC). The frequency of tumors with MSI-H was highest in CRC (14%) and gastric cancer (4%). PD-L1 AMP occurred most frequently in lung squamous cell carcinoma (14.3%) and HER2-positive breast cancer (8.8%). Most MSI-H and dMMR cases exhibited TMB-H, but the overlap among the other biomarkers was low.\n\nConclusionWhile MSI and dMMR are associated with higher mutational loads, correlations between TMB-H and other biomarkers, between MSI-H and dMMR, and between PD-L1 AMP and other biomarkers were low, indicating different underlying causes of the four biomarkers. Thus, it is recommended that all four biomarkers be assessed for certain cancers before administration of PD-1/PD-L1 blockade treatment.

cancer biology

Voltage- and Branch-specific Climbing Fiber Responses in Purkinje Cells

Climbing fibers (CFs) provide instructive signals driving cerebellar learning. However, conflicting experimental studies have been reported about the reliability of CF mediated Ca2+ influx in Purkinje cell (PC) distal dendrites. Mechanisms causing the wide variation in duration and spikelet numbers of complex spikes (CSs) have not been explored systematically. Using a new experimentally validated PC model, we describe the full range of modifiability of CF responses to explain the experimental data and make new predictions. We find voltage state gates the initiation and propagation of dendritic spikes. PC dendrites exhibit inhomogeneous excitability with individual branches as computational units for CF input. Somatic CSs are regulated by voltage state, CF activation phase and instantaneous CF firing rate. Concurrent synaptic inputs can affect CSs by modulating dendritic responses in a spatially precise way. These voltage- and branch-specific CF responses will increase dendritic computational capacity and give PCs an active role in integrating CF signals.

neuroscience