Worldwide, non-small cell lung cancer (NSCLC) has the highest morbidity and mortality of all malignancies. The lack of responsiveness to checkpoint inhibitors is a central problem in the modern era of cancer immunotherapy, with the rapid development of immune checkpoint inhibitors (ICIs) in recent years. The human switch/sucrose nonfermentable (SWI/SNF) chromatin-remodeling complex has been reported to be recurrently mutated in patients with cancer, and those with SWI/SNF mutations have been reported to be sensitive to ICIs. Six reported cohorts, a total of 3416 patients, were used to analyze the mutation status of ARID1A, ARID1B, ARID2 and SMARCA4 in patients with NSCLC and the effect of mutations on prognosis after ICIs. Finally, a nomogram was established to guide the clinical use of ICIs. The results show that patients with NSCLC who have ARID1A, ARID1B, and ARID2 mutations of the SWI/SNF complex were more likely to benefit from ICI therapy.

In the present study, we aimed at exploring the applied value of preoperative neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) in the prediction of lymph node metastasis (LNM) and prognosis in patients with early gastric cancer (EGC). We retrospectively analyzed a total of248 consecutive patients who underwent curative gastrectomy to be identified T1 stage gastric adenocarcinoma between January 1, 2010 and May 1, 2016 in a single institution. According to median preoperative NLR and PLR value, we divided the patients into four groups: high NLR >1.73 and low NLR <1.73, high PLR >117.78 and low PLR <117.78. Furthermore, to evaluate the relationship between preoperative NLR and PLR values, we categorized patients according to cutoff preoperative NLR-PLR score of 2 [high NLR (>1.73) and high PLR (>117.78)], 1 [either high NLR or high PLR], and 0 [neither high NLR nor high PLR], Statistical analyses were conducted using SPSS 20.0 software. The results showed that the preoperative NLR or PLR values, lower or higher, could not predict the LNM in patients with EGC (both P=0.544>0.05). The invasive depth of tumor was significantly correlated with LNM of EGC (P0.001). Kaplan-Meier plots illustrated that preoperative NLR and PLR values were not associated with overall survival (OS) in patients with EGC. It was concluded that the preoperative NLR and PLR may be the predictors for LNM and prognosis in patients with advanced gastric cancer; nevertheless, they cannot predict LNM and prognosis in patients with EGC.

Background With the ongoing development of targeted therapy and immunotherapy in recent years, the overall five‐year survival rate of NSCLC patients has not improved, and the search for novel diagnostic and prognostic markers for lung adenocarcinoma continues. Methods Lung adenocarcinoma (LUAD) gene expression data and relevant clinical information were obtained from the TCGA. Hub genes were identified with weighted gene co‐expression network analysis (WGCNA) and protein–protein interaction network (PPI). Survival analyses were also performed using GEPIA. The 536 LUAD patients were divided into two groups according to the SPRR1B expression level and analyzed by gene set enrichment analysis (GSEA) and verified by immunoblotting. The effects of SPRR1B on cell proliferation and cell metastasis and apoptosis were evaluated by 5‐ethynyl‐2′‐deoxyuridine (EdU) staining, colony formation assay, transwell migration and invasion assay, and flow cytometry, respectively. Results A total of 2269 DEGs were analyzed by WGCNA and five hub genes (CCK, FETUB, PCSK9, SPRR1B, and SPRR2D) were identified. Among them, SPRR1B was selected as one of the most significant prognostic genes in LUAD. SPRR1B was found to be highly expressed in lung adenocarcinoma cells compared with that in normal bronchial epithelial cells. In addition, silencing of SPRR1B could inhibit the cell proliferation, invasion, and migration of lung adenocarcinoma cells, but induced cell apoptosis and G2/M phase arrest in vitro. The result of GSEA and immunoblotting revealed that SPRR1B activated the MAPK signaling pathway involved in the proliferation and metastasis of lung cancer. Conclusions Our findings demonstrate that SPRR1B may function as a prognosis predictor in lung adenocarcinoma.

Background The prevalence of lung adenocarcinomas (LUADs) has dramatically increased in recent decades. Ferroptosis is a process of iron‐dependent regulatory cell death. It is still unclear whether the expression of ferroptosis‐related genes (FRGs) is involved in the pathogenesis and survival of patients with LUAD. Methods We retrieved LUAD data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and used LASSO Cox regression analysis to select the gene signature suitable for modeling. The risk score was calculated according to the model, and the patients were divided into high‐ and low‐risk groups according to the median risk score. Functional enrichment analysis was carried out by this group, and a model for predicting clinical prognosis was established by combining this group with clinical factors. Results Gene set enrichment analysis (GSEA) and single‐sample gene set enrichment analysis (ssGSEA) analysis showed that there were several immune‐related pathways and immune infiltration differences between high‐ and low‐risk groups. A prognostic model integrating 10 ferroptosis‐related genes (FR‐DEGs), and clinical factors were constructed and validated in an external cohort. Conclusions The FR‐DEGs signature was related to immune infiltration, and a model based on FR‐DEGs and clinical factors was established to predict the prognosis of patients with LUAD.