Background: The posttranscriptional modifications of transfer RNA (tRNA) are critical for all aspects of the tRNA function and have been implicated in the tumourigenesis and progression of many human cancers. By contrast, the biological functions of methyltransferase‐like 1 (METTL1)‐regulated m⁷G tRNA modification in bladder cancer (BC) remain obscure.Results: In this research, we show that METTL1 was highly expressed in BC, and its level was correlated with poor patient prognosis. Silencing METTL1 suppresses the proliferation, migration and invasion of BC cells in vitro and in vivo. Multi‐omics analysis reveals that METTL1‐mediated m⁷G tRNA modification altered expression of certain target genes, including EGFR/EFEMP1. Mechanistically, METTL1 regulates the translation of EGFR/EFEMP1 via modifying certain tRNAs. Furthermore, forced expression of EGFR/EFEMP1 partially rescues the effect of METTL1 deletion on BC cells.Conclusions: Our findings demonstrate the oncogenic role of METTL1 and the pathological significance of the METTL1‐m⁷G‐EGFR/EFEMP1 axis in the BC development, thus providing potential therapeutic targets for the BC treatment.

Clear cell renal cell carcinomas (ccRCCs) display divergent clinical behaviours. Molecular markers might improve risk stratification of ccRCC. Here we use, based on genome-wide CpG methylation profiling, a LASSO model to develop a five-CpG-based assay for ccRCC prognosis that can be used with formalin-fixed paraffin-embedded specimens. The five-CpG-based classifier was validated in three independent sets from China, United States and the Cancer Genome Atlas data set. The classifier predicts the overall survival of ccRCC patients (hazard ratio=2.96−4.82;P=3.9 × 10⁻⁶−2.2 × 10⁻⁹), independent of standard clinical prognostic factors. The five-CpG-based classifier successfully categorizes patients into high-risk and low-risk groups, with significant differences of clinical outcome in respective clinical stages and individual ‘stage, size, grade and necrosis’ scores. Moreover, methylation at the five CpGs correlates with expression of five genes:PITX1,FOXE3,TWF2,EHBP1L1andRIN1. Our five-CpG-based classifier is a practical and reliable prognostic tool for ccRCC that can add prognostic value to the staging system.

Epstein–Barr virus-associated gastric cancer (EBVaGC) shows a robust response to immune checkpoint inhibitors. Therefore, a cost-efficient and accessible tool is needed for discriminating EBV status in patients with gastric cancer. Here we introduce a deep convolutional neural network called EBVNet and its fusion with pathologists for predicting EBVaGC from histopathology. The EBVNet yields an averaged area under the receiver operating curve (AUROC) of 0.969 from the internal cross validation, an AUROC of 0.941 on an external dataset from multiple institutes and an AUROC of 0.895 on The Cancer Genome Atlas dataset. The human-machine fusion significantly improves the diagnostic performance of both the EBVNet and the pathologist. This finding suggests that our EBVNet could provide an innovative approach for the identification of EBVaGC and may help effectively select patients with gastric cancer for immunotherapy.

Background: There is increasing evidence that circular RNAs (circRNAs) have significant regulatory roles in cancer development and progression; however, the expression patterns and biological functions of circRNAs in renal cell carcinoma (RCC) remain largely elusive. Method: Bioinformatics methods were applied to screen for circRNAs differentially expressed in RCC. Analysis of online circRNAs microarray datasets and our own patient cohort indicated that circSDHC (hsa_circ_0015004) had a potential oncogenic role in RCC. Subsequently, circSDHC expression was measured in RCC tissues and cell lines by qPCR assay, and the prognostic value of circSDHC evaluated. Further, a series of functional in vitro and in vivo experiments were conducted to assess the effects of circSDHC on RCC proliferation and metastasis. RNA pull-down assay, luciferase reporter and fluorescent in situ hybridization assays were used to confirm the interactions between circSDHC, miR-127-3p and its target genes. Results: Clinically, high circSDHC expression was correlated with advanced TNM stage and poor survival in patients with RCC. Further, circSDHC promoted tumor cell proliferation and invasion, both in vivo and in vitro. Analysis of the mechanism underlying the effects of circSDHC in RCC demonstrated that it binds competitively to miR-127-3p and prevents its suppression of a downstream gene, CDKN3, and the E2F1 pathway, thereby leading to RCC malignant progression. Furthermore, knockdown of circSDHC caused decreased CDKN3 expression and E2F1 pathway inhibition, which could be rescued by treatment with an miR-127-3p inhibitor. Conclusion: Our data indicates, for the first time, an essential role for the circSDHC/miR-127-3p/CDKN3/E2F1 axis in RCC progression. Thus, circSDHC has potential to be a new therapeutic target in patients with RCC.

Sunitinib resistance remains a serious challenge to the treatment of advanced and metastatic renal cell carcinoma (RCC), yet the mechanisms underlying this resistance are not fully understood. Here, we report that the long noncoding RNA IGFL2-AS1 is a driver of therapy resistance in RCC. IGFL2-AS1 was highly upregulated in sunitinib-resistant RCC cells and was associated with poor prognosis in patients with clear cell RCC (ccRCC) who received sunitinib therapy. IGFL2-AS1 enhanced TP53INP2 expression by competitively binding to hnRNPC, a multifunctional RNA-binding protein that posttranscriptionally suppresses TP53INP2 expression through alternative splicing. Upregulated TP53INP2 enhanced autophagy and ultimately led to sunitinib resistance. Meanwhile, IGFL2-AS1 was packaged into extracellular vesicles through hnRNPC, thus transmitting sunitinib resistance to other cells. N6-methyladenosine modification of IGFL2-AS1 was critical for its interaction with hnRNPC. In a patient-derived xenograft model of sunitinib-resistant ccRCC, injection of chitosan-solid lipid nanoparticles containing antisense oligonucleotide-IGFL2-AS1 successfully reversed sunitinib resistance. These findings indicate a novel molecular mechanism of sunitinib resistance in RCC and suggest that IGFL2-AS1 may serve as a prognostic indicator and potential therapeutic target to overcome resistance. Significance: Extracellular vesicle-packaged IGFL2-AS1 promotes sunitinib resistance by regulating TP53INP2-triggered autophagy, implicating this lncRNA as a potential therapeutic target in renal cell carcinoma.