Prospective evidence regarding the combination of programmed cell death (PD)−1 and angiogenesis inhibitors in treating locally advanced gastric cancer (LAGC) is limited. In this multicenter, randomized, phase 2 trial (NCT04195828), patients with gastric adenocarcinoma (clinical T2-4N + M0) were randomly assigned (1:1) to receive neoadjuvant camrelizumab and apatinib combined with nab-paclitaxel plus S-1 (CA-SAP) or chemotherapy SAP alone (SAP) for 3 cycles. The primary endpoint was the major pathological response (MPR), defined as <10% residual tumor cells in resection specimens. Secondary endpoints included R0 resection rate, radiologic response, safety, overall survival, and progression-free survival. The modified intention-to-treat population was analyzed (CA-SAP [n = 51] versus SAP [n = 53]). The trial has met pre-specified endpoints. CA-SAP was associated with a significantly higher MPR rate (33.3%) than SAP (17.0%, P = 0.044). The CA-SAP group had a significantly higher objective response rate (66.0% versus 43.4%, P = 0.017) and R0 resection rate (94.1% versus 81.1%, P = 0.042) than the SAP group. Nonsurgical grade 3-4 adverse events were observed in 17 patients (33.3%) in the CA-SAP group and 14 (26.4%) in the SAP group. Survival results were not reported due to immature data. Camrelizumab and apatinib combined with chemotherapy as a neoadjuvant regimen was tolerable and associated with favorable responses for LAGC.

Immunosuppressive molecules are extremely valuable prognostic biomarkers across different cancer types. However, the diversity of different immunosuppressive molecules makes it very difficult to accurately predict clinical outcomes based only on a single immunosuppressive molecule. Here, we establish a comprehensive immune scoring system (ISS_GC) based on 6 immunosuppressive ligands (NECTIN2, CEACAM1, HMGB1, SIGLEC6, CD44, and CD155) using the LASSO method to improve prognostic accuracy and provide an additional selection strategy for adjuvant chemotherapy of gastric cancer (GC). The results show that ISS_GCis an independent prognostic factor and a supplement of TNM stage for GC patients, and it can improve their prognosis prediction accuracy; in addition, it can distinguish GC patients with better prognosis from those with high prognostic nutritional index score; furthermore, ISS_GCcan also be used as a tool to select GC patients who would benefit from adjuvant chemotherapy independent of their TNM stages, MSI status and EBV status.

Background: BATF2, also known as SARI, has been implicated in tumor progression. However, its role, underlying mechanisms, and prognostic significance in human gastric cancer (GC) are elusive. Methods: We obtained GC tissues and corresponding normal tissues from 8 patients and identified BATF2 as a downregulated gene via RNA-seq. qRT-PCR and western blotting were applied to examine BATF2 levels in normal and GC tissues. The prognostic value of BATF2 was elucidated using tissue microarray and IHC analyses in two independent GC cohorts. The functional roles and mechanistic insights of BATF2 in GC growth and metastasis were evaluated in vitro and in vivo. Results: BATF2 expression was significantly decreased in GC tissues at both the mRNA and protein level. Multivariate Cox regression analysis revealed that BATF2 was an independent prognostic factor and effective predictor in patients with GC. Low BATF2 expression was remarkably associated with peritoneal recurrence after curative gastrectomy. Moreover, elevated BATF2 expression effectively suppressed GC growth and metastasis in vitro and in vivo. Mechanistically, BATF2 binds to p53 and enhances its protein stability, thereby inhibiting the phosphorylation of ERK. Tissue microarray results indicated that the prognostic value of BATF2 was dependent on ERK activity. In addition, the N6-methyladenosine (m⁶A) modification of BATF2 mRNA by METTL3 repressed its expression in GC. Conclusions: Collectively, our findings indicate the pivotal role of BATF2 in GC and highlight the regulatory function of the METTL3/BATF2/p53/ERK axis in modulating GC progression, which provides potential prognostic and therapeutic targets for GC treatment.