Background: Gastric cancer (GC) is a highly heterogeneous tumor with different responses to immunotherapy. Identifying immune subtypes and landscape of GC could improve immunotherapeutic strategies. Methods: Based on the abundance of tumor-infiltrating immune cells in GC patients from The Cancer Genome Atlas, we used unsupervised consensus clustering algorithm to identify robust clusters of patients, and assessed their reproducibility in an independent cohort from Gene Expression Omnibus. We further confirmed the feasibility of our immune subtypes in five independent pan-cancer cohorts. Finally, functional enrichment analyses were provided, and a deep learning model studying the pathological images was constructed to identify the immune subtypes. Results: We identified and validated three reproducible immune subtypes presented with diverse components of tumor-infiltrating immune cells, molecular features, and clinical characteristics. An immune-inflamed subtype 3, with better prognosis and the highest immune score, had the highest abundance of CD8+ T cells, CD4+ T–activated cells, follicular helper T cells, M1 macrophages, and NK cells among three subtypes. By contrast, an immune-excluded subtype 1, with the worst prognosis and the highest stromal score, demonstrated the highest infiltration of CD4+ T resting cells, regulatory T cells, B cells, and dendritic cells, while an immune-desert subtype 2, with an intermediate prognosis and the lowest immune score, demonstrated the highest infiltration of M2 macrophages and mast cells, and the lowest infiltration of M1 macrophages. Besides, higher proportion of EVB and MSI of TCGA molecular subtyping, over expression of CTLA4, PD1, PDL1, and TP53, and low expression of JAK1 were observed in immune subtype 3, which consisted with the results from Gene Set Enrichment Analysis. These subtypes may suggest different immunotherapy strategies. Finally, deep learning can predict the immune subtypes well. Conclusion: This study offers a conceptual frame to better understand the tumor immune microenvironment of GC. Future work is required to estimate its reference value for the design of immune-related studies and immunotherapy selection.

Aims/hypothesis: The aim of this study was to evaluate the efficacy and safety of oral semaglutide monotherapy vs placebo in a predominantly Chinese population with type 2 diabetes insufficiently controlled with diet and exercise alone. Methods: The Peptide Innovation for Early Diabetes Treatment (PIONEER) 11 trial was a double-blind, randomised, Phase IIIa trial conducted across 52 sites in the China region (mainland China and Taiwan), Hungary, Serbia and Ukraine. Eligible participants were ≥18 years (≥20 years in Taiwan), had a diagnosis of type 2 diabetes with HbA_1c 53–86 mmol/mol (7.0–10.0%) and were not receiving any glucose-lowering drugs. After a 4-week run-in period in which participants were treated with diet and exercise alone, those who fulfilled the randomisation criteria were randomised (1:1:1:1) using a web-based randomisation system to receive once-daily oral semaglutide 3 mg, 7 mg or 14 mg or placebo for 26 weeks (using a 4-week dose-escalation regimen for the higher doses). Randomisation was stratified according to whether participants were from the China region or elsewhere. The primary and confirmatory secondary endpoints were change from baseline to week 26 in HbA_1c and body weight (kg), respectively. Safety was assessed in all participants exposed to at least one dose of the trial product. Results: Between October 2019 and October 2021, a total of 774 participants were screened and 521 participants were randomised to oral semaglutide 3 mg (n=130), 7 mg (n=130), 14 mg (n=130) or placebo (n=131); most participants (92.5%, n=482) completed the trial, with 39 participants prematurely discontinuing treatment. The number of participants contributing to the trial analyses was based on the total number of participants who were randomised at the beginning of the trial. The majority of participants were male (63.7%), and the mean age of participants was 52 years. At baseline, mean HbA_1c and body weight were 63 mmol/mol (8.0%) and 79.6 kg, respectively. Oral semaglutide resulted in significantly greater reductions in HbA_1c than placebo at week 26 (p<0.001 for all doses). The estimated treatment differences (ETDs [95% CIs]) for oral semaglutide 3 mg, 7 mg and 14 mg vs placebo were –11 (–13, –9) mmol/mol, –16 (–18, –13) mmol/mol and –17 (–19, –15) mmol/mol, respectively. The corresponding ETDs in percentage points (95% CI) vs placebo were –1.0 (–1.2, –0.8), –1.4 (–1.6, –1.2) and –1.5 (–1.8, –1.3), respectively. Significantly greater reductions in body weight were also observed for oral semaglutide 7 mg and 14 mg than for placebo at week 26 (ETD [95% CI] –1.2 kg [–2.0 kg, –0.4 kg; p<0.01] and –2.0 kg [–2.8 kg, –1.2 kg; p<0.001], respectively), but not for oral semaglutide 3 mg (ETD [95% CI] –0.0 kg [–0.9 kg, 0.8 kg; not significant]). Similar reductions in HbA_1c and body weight were observed in the Chinese subpopulation, which represented 74.9% of participants in the overall population. Adverse events (AEs) occurred in between 65.4% and 72.3% of participants receiving oral semaglutide (for all doses) and 57.3% of participants with placebo. Most AEs were mild to moderate in severity, with few serious AEs reported; the most commonly reported AEs were gastrointestinal-related and were more frequent with semaglutide (all doses) than with placebo. The proportion of AEs was slightly higher in the Chinese subpopulation. Conclusions/interpretation: Oral semaglutide resulted in significantly greater reductions in HbA_1c across all doses and in significant body weight reductions for the 7 mg and 14 mg doses when compared with placebo in predominantly Chinese participants with type 2 diabetes insufficiently controlled by diet and exercise alone. Oral semaglutide was generally well tolerated, with a safety profile consistent with that seen in the global PIONEER trials. Trial registration: ClinicalTrials.gov NCT04109547. Funding: Novo Nordisk A/S. Graphical

Circular RNAs play essential roles in the development of various human diseases. However, how circRNAs are involved in diabetic nephropathy (DN) are not fully understood. Our study aimed to investigate the effects of circRNA circEIF4G2 on DN. Experiments were performed in the db/db mouse model of type 2 diabetes and NRK‐52E cells. We found that circEIF4G2 was significantly up‐regulated in the kidneys of db/db mice and NRK‐52E cells stimulated by high glucose. circEIF4G2 knockdown inhibited the expressions of TGF‐β1, Collagen I and Fibronectin in high glucose‐stimulated NRK‐52E cells, which could be rescued by miR‐218 inhibitor. Knockdown of SERBP1 reduced the expression of TGF‐β1, Collagen I and Fibronectin in HG‐stimulated NRK‐52E cells. In summary, our findings suggested that circEIF4G2 promotes renal tubular epithelial cell fibrosis via the miR‐218/SERBP1 pathway, presenting a novel insight for DN treatment.