Apatinib remodels the immunosuppressive tumor ecosystem of gastric cancer enhancing anti-PD-1 immunotherapy.

Apatinib has been shown to clinically enhance anti-PD-1 immunotherapy for advanced gastric cancer (GC). However, the complexity of GC immunosuppression remains a challenge for precision immunotherapy. Here, we profile the transcriptomes of 34,182 single cells from GC patient-derived xenografts of humanized mouse models treated with vehicle, nivolumab, or nivolumab plus apatinib.

Identification of a Tumor Microenvironment-relevant Gene set-based Prognostic Signature and Related Therapy Targets in Gastric Cancer.

The prognosis of gastric cancer (GC) patients is poor, and there is limited therapeutic efficacy due to genetic heterogeneity and difficulty in early-stage screening. Here, we developed and validated an individualized gene set-based prognostic signature for gastric cancer (GPSGC) and further explored survival-related regulatory mechanisms as well as therapeutic targets in GC. By implementing machine learning, a prognostic model was established based on gastric cancer gene expression datasets from 1699 patients from five independent cohorts with reported full clinical annotations.