Gastric cancer remains an incurable malignance and the second leading cause of cancer death globally. Recent progress in gastric cancer research has demonstrated the crucial roles of cancer stem cells (CSCs) in the development, metastasis, and drug resistance of this disease. Various studies have highlighted the role of long noncoding RNAs (lncRNAs) in the pathogenesis of gastric cancer. In this study, through fluorescence-activated cell sorting, we isolated gastric CSCs (GCSCs) from MKN-45 cells and demonstrated for the first time that lncRNA ROR was highly expressed in CD133 GCSCs. Overexpression of lncRNA ROR significantly increased, but knockdown of lncRNA ROR inhibited the proliferation and invasion of GCSCs. Most importantly, lncRNA ROR led to upregulation of several key stemness transcriptional factors, such as OCT4, SOX2, and NANOG, as well as CD133 GCSC. Our data demonstrated that lncRNA ROR was associated with core stemness transcriptional factors and the pluripotent state of GCSCs. These results further improved our understanding of the functional cross talking network during development of GCSCs and may provide novel target for the diagnostics and therapeutics of gastric cancer.

WTAP and N6-methyladenosine (m6A) reader proteins (YTHDF2) are N6-methyladenosine (m6A) methyltransferase and m6A reading proteins, respectively. In recent years, the tumor immune environment has received more and more attention in the progress and treatment of cancer. The aim of this study was to investigate the relationship between N6-methyladenosine (m6A) methyltransferase (WTAP)/YTHDF2 and the immunological characteristics of lung adenocarcinoma (LUAD). Based on the expression of WTAP and YTHDF2 in the cancer genome atlas (TCGA) and gene expression omnibus (GEO) database, LUAD patients were divided into 2 clusters by coherently clustering method, and performed gene set enrichment analysis (GSEA) to identify the functional differences. Immunoinvasion analysis was performed using ESTIMATE, CIBERSORT, and single-sample GSEA (ssGSEA), and expression of immune checkpoint inhibitors (ICIs) targets was assessed, while tumor mutation burden (TMB) was calculated in tumor samples. Weighted gene co-expression network analysis (WGCNA) was used to identify the genes related to both WTAP/YTHDF2 expression and immunity. The immunological characteristics between the 2 clusters were externally verified based on GSE39582. The expression of WTAP was higher in cluster 1 and YTHDF2 was lower, but it was opposite in cluster 2. Cluster 1 had stronger immune infiltration, more ICIs target expression, more TMB. In addition, WGCNA identified 22 genes associated with WTAP/YTHDF2 expression and immune score, including TIM3 (HAVCR2) and CD86. WTAP and YTHDF2 influence immune contexture and may be novel prognostic and druggable targets associated with the immune system of LUAD.