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Editorial summary Circular RNAs (circRNAs) are 3′–5′ covalently closed RNA rings produced from back-splicing of precursor mRNA in eukaryotes. Recent studies, using both computational and experimental approaches, have allowed advanced characterization of circRNAs, leading the research field into a new era and shedding light on the contribution of circRNAs to disease.

Immune checkpoint blockade therapies have extended patient survival across multiple cancer lineages, but there is a heated debate on whether cancer immunotherapy efficacy is different between male and female patients. We summarize the existing meta-analysis to show inconsistent conclusions for whether gender is associated with the immunotherapy response. We analyze molecular profiling from ICB-treated patients to identify molecular differences for immunotherapy responsiveness. We perform comprehensive analyses for patients from The Cancer Genome Atlas (TCGA) and reveal divergent patterns for sex bias in immune features across multiple cancer types. We further validate our observations in multiple independent data sets. Considering that the majority of clinical trials are in melanoma and lung cancer, meta-analyses that pool multiple cancer types have limitations to discern whether cancer immunotherapy efficacy is different between male and female patients. Future studies should include omics profiling to investigate sex-associated molecular differences in immunotherapy. Immunotherapy has tremendous potential to treat many patients with cancer. In this study, the authors investigate the impact of gender on the response to therapy, highlighting the importance to include omics profiling in clinical studies.

Ferroptosis is a more recently recognized form of cell death that relies on iron-mediated oxidative damage. Here, we evaluate the impact of high-iron diets or depletion of Gpx4 , an antioxidant enzyme reported as an important ferroptosis suppressor, in the pancreas of mice with cerulean- or L-arginine-induced pancreatitis, and in an oncogenic Kras murine model of spontaneous pancreatic ductal adenocarcinoma (PDAC). We find that either high-iron diets or Gpx4 depletion promotes 8-OHG release and thus activates the TMEM173/STING-dependent DNA sensor pathway, which results in macrophage infiltration and activation during Kras -driven PDAC in mice. Consequently, the administration of liproxstatin-1 (a ferroptosis inhibitor), clophosome-mediated macrophage depletion, or pharmacological and genetic inhibition of the 8-OHG-TMEM173 pathway suppresses Kras -driven pancreatic tumorigenesis in mice. GPX4 is also a prognostic marker in patients with PDAC. These findings provide pathological and mechanistic insights into ferroptotic damage in PDAC tumorigenesis in mice. Ferroptosis is an iron-dependent mechanism of cell death. In this mouse study, the authors show that diets high in iron or depletion of the antioxidant Gpx4 potentiates pancreatic damage and tumour formation by activating the DNA damage pathway and recruiting macrophages to the pancreas.

Small non-coding RNAs (sncRNAs) play critical roles in multiple regulatory processes, including transcription, post-transcription, and translation. Emerging evidence reveals the critical roles of sncRNAs in cancer development and their potential role as biomarkers and/or therapeutic targets. In this paper, we review recent research on four sncRNA species with functional significance in cancer: small nucleolar RNAs, transfer RNA, small nuclear RNAs, and piwi-interacting RNAs. We introduce their functional roles in tumorigenesis and discuss the potential utility of sncRNAs as prognostic and diagnostic biomarkers and therapeutic targets. We further summarize approaches to characterize sncRNAs in a high-throughput manner, including the specific library construction and computational framework. Our review provides a perspective of the functions, clinical utility, and characterization of sncRNAs in cancer.

Owing to the prevalence and high mortality rates of cardiac diseases, a more detailed characterization of the human heart is necessary; however, this has been largely impeded by the cellular diversity of cardiac tissue and limited access to samples. Here, we show transcriptome profiling of 21,422 single cells—including cardiomyocytes (CMs) and non-CMs (NCMs)—from normal, failed and partially recovered (left ventricular assist device treatment) adult human hearts. Comparative analysis of atrial and ventricular cells revealed pronounced inter- and intracompartmental CM heterogeneity as well as compartment-specific utilization of NCM cell types as major cell-communication hubs. Systematic analysis of cellular compositions and cell–cell interaction networks showed that CM contractility and metabolism are the most prominent aspects that are correlated with changes in heart function. We also uncovered active engagement of NCMs in regulating the behaviour of CMs, exemplified by ACKR1+-endothelial cells, injection of which preserved cardiac function after injury. Beyond serving as a rich resource, our study provides insights into cell-type-targeted intervention of heart diseases.Wang, Yu, Zhou, Song et al. profile cardiomyocytes and neighbouring cells from healthy adults and patients with heart failure and in recovery, and delineate their cellular compositions and interaction networks.

Colorectal cancer (CRC) is among the most common malignancies with limited treatments other than surgery. The tumor microenvironment (TME) profiling enables the discovery of potential therapeutic targets. Here, we profile 54,103 cells from tumor and adjacent tissues to characterize cellular composition and elucidate the potential origin and regulation of tumor-enriched cell types in CRC. We demonstrate that the tumor-specific FAP + fibroblasts and SPP1 + macrophages were positively correlated in 14 independent CRC cohorts containing 2550 samples and validate their close localization by immuno-fluorescent staining and spatial transcriptomics. This interaction might be regulated by chemerin, TGF-β, and interleukin-1, which would stimulate the formation of immune-excluded desmoplasic structure and limit the T cell infiltration. Furthermore, we find patients with high FAP or SPP1 expression achieved less therapeutic benefit from an anti-PD-L1 therapy cohort. Our results provide a potential therapeutic strategy by disrupting FAP + fibroblasts and SPP1 + macrophages interaction to improve immunotherapy. Tumour microenvironment profiling during colorectal cancer progression may enable the discovery of therapeutic targets. Here, single cell and spatial RNA sequencing of tumour and adjacent normal tissues reveals an interaction between FAP + fibroblasts and SPP1 + macrophages that could be disrupted as an immunotherapy strategy.

Enhancer RNA (eRNA) is a type of noncoding RNA transcribed from the enhancer. Although critical roles of eRNA in gene transcription control have been increasingly realized, the systemic landscape and potential function of eRNAs in cancer remains largely unexplored. Here, we report the integration of multi-omics and pharmacogenomics data across large-scale patient samples and cancer cell lines. We observe a cancer-/lineage-specificity of eRNAs, which may be largely driven by tissue-specific TFs. eRNAs are involved in multiple cancer signaling pathways through putatively regulating their target genes, including clinically actionable genes and immune checkpoints. They may also affect drug response by within-pathway or cross-pathway means. We characterize the oncogenic potential and therapeutic liability of one eRNA, NET1e , supporting the clinical feasibility of eRNA-targeted therapy. We identify a panel of clinically relevant eRNAs and developed a user-friendly data portal. Our study reveals the transcriptional landscape and clinical utility of eRNAs in cancer. Enhancer RNA (eRNA) is a type of noncoding RNA transcribed from enhancer regions. Here, the authors investigate the transcriptional landscape of eRNA in cancer, incorporating pharmacogenomic data to identify potential target genes and therapeutic targets.

The roles of long non-coding RNAs in cancer metabolism remain largely unexplored. Here we identify FILNC1 (FoxO-induced long non-coding RNA 1) as an energy stress-induced long non-coding RNA by FoxO transcription factors. FILNC1 deficiency in renal cancer cells alleviates energy stress-induced apoptosis and markedly promotes renal tumor development. We show that FILNC1 deficiency leads to enhanced glucose uptake and lactate production through upregulation of c-Myc. Upon energy stress, FILNC1 interacts with AUF1, a c-Myc mRNA-binding protein, and sequesters AUF1 from binding c-Myc mRNA, leading to downregulation of c-Myc protein. FILNC1 is specifically expressed in kidney, and is downregulated in renal cell carcinoma; also, its low expression correlates with poor clinical outcomes in renal cell carcinoma. Together, our study not only identifies FILNC1 as a negative regulator of renal cancer with potential clinical value, but also reveals a regulatory mechanism by long non-coding RNAs to control energy metabolism and tumor development. FoxO are commonly down-regulated transcription factors and tumor suppressors in renal cell cancer (RCC). Here, the authors show that upon energy stress FoxOs induce the expression of the long non-coding RNA FILNC1, which inhibits survival of RCC by downregulating c-Myc and c-Myc-dependent metabolic rewiring.

Immune-related adverse events (irAEs), caused by anti-PD-1/PD-L1 antibodies, can lead to fulminant and even fatal consequences and thus require early detection and aggressive management. However, a comprehensive approach to identify biomarkers of irAE is lacking. Here, we utilize a strategy that combines pharmacovigilance data and omics data, and evaluate associations between multi-omics factors and irAE reporting odds ratio across different cancer types. We identify a bivariate regression model of LCP1 and ADPGK that can accurately predict irAE. We further validate LCP1 and ADPGK as biomarkers in an independent patient-level cohort. Our approach provides a method for identifying potential biomarkers of irAE in cancer immunotherapy using both pharmacovigilance data and multi-omics data. Immunotherapy, the reactivation of the immune system to recognize cancer cells, can be accompanied by severe adverse effects. Here, the authors use pharmacovigilance and genomic data to be able to predict which patients might be susceptible to such severe events.

Full-length circular RNAs are sequenced at high throughput using nanopores.