Multiple Roles of m6A RNA Modification in Translational Regulation in Cancer

Pharmacology of epitranscriptomic modifications: Decoding the therapeutic potential of RNA modifications in drug resistance

RNA modifications, collectively known as epitranscriptomic modifications, have emerged as critical regulators of gene expression, cellular adaptation, and therapeutic resistance. This review explores the pharmacological potential of targeting RNA modifications, including N6-methyladenosine (m6A) and 5-methylcytosine (m5C), as strategies to overcome drug resistance in cancer. We examine key regulatory enzymes, writers, erasers, and readers-and their roles in modulating RNA stability, translation, and splicing. Advances in combination therapies, integrating RNA modification modulators with conventional chemotherapies and immune checkpoint inhibitors, have shown promising outcomes in reversing multidrug resistance (MDR). Emerging RNA-targeting technologies, such as CRISPR/Cas13 systems and advanced RNA sequencing platforms, further enable precision manipulation of RNA molecules, opening new therapeutic frontiers. However, several challenges persist, including issues related to pharmacokinetics, acquired resistance, and the complexity of epitranscriptomic networks. This review underscores the need for innovative delivery systems, such as lipid nanoparticles and tissue-specific targeting strategies, and highlights the dynamic nature of RNA modifications in response to environmental and therapeutic stress. Ongoing research into non-coding RNA modifications and the interplay between epitranscriptomics and epigenetics offers exciting possibilities for developing novel RNA-targeting therapies. The continued evolution of RNA-based technologies will be crucial in advancing precision medicine, addressing drug resistance, and improving clinical outcomes across multiple diseases.

H3K27-me3 Inhibition Induces YTHDF2-Mediated Decay of m6A-Marked Severe Acute Respiratory Syndrome Coronavirus 2 Transcripts

Emerging evidence highlights the role of epigenetic modification in virus infection. In this study, inhibition of H3K27-methylation (H3K27-me3) by UNC1999 (H3K27-methyltransferase inhibitor) was demonstrated to inhibit SARS-CoV-2 replication, as evidenced by reduced levels of viral RNA/protein. The m6A modifications of SARS-CoV-2 RNA were predominantly present on the 3' end, particularly the "N" gene. The methylated RNA immunoprecipitation (MeRIP) and western-blot analysis revealed a negative correlation between levels of cellular H3K27-me3 and m6A-modifications on the SARS-CoV-2 "N" gene. Moreover, m6A-modifications of the SARS-CoV-2 "N" gene were shown to promote the recruitment of YTHDF2, which eventually resulted in decay of the viral transcripts. The application of the H3K27-demethyltransferase or KDM6A/B inhibitor GSK-J4 can restore H3K27-me3 levels and mitigating the decay of viral mRNA in UNC1999-treated SARS-CoV-2-infected cells. Furthermore, long-term sequential passage (P = 50) of the virus in the presence of UNC1999 did not yield any UNC1999-resistant SARS-CoV-2 mutants. In conclusion, by integrating transcriptomics, molecular virology and functional analyses, we for the first time demonstrated that inhibition of H3K27-me3 induces m6A-mediated decay of SARS-CoV-2 transcripts, highlighting UNC1999 as novel antiviral candidate against SARS-CoV-2.

RNA modifications in plant adaptation to abiotic stresses

Epitranscriptomic chemical modifications of RNAs have emerged as potent regulatory mechanisms in the process of plant stress adaptation. Currently, over 170 distinct chemical modifications have been identified in mRNAs, tRNAs, rRNAs, microRNAs (miRNAs), and long noncoding RNAs (lncRNAs). Genetic and molecular studies have identified the genes responsible for addition and removal of chemical modifications from RNA molecules, which are known as "writers" and "erasers," respectively. N6-methyladenosine (m6A) is the most prevalent chemical modification identified in eukaryotic mRNAs. Recent studies have identified m6A writers and erasers across different plant species, including Arabidopsis (Arabidopsis thaliana), rice (Oryza sativa), cotton (Gossypium hirsutum), and tomato (Solanum lycopersicum). Accumulating discoveries have improved our understanding of the functions of RNA modifications in plant stress responses. This review highlights the latest research on RNA modification, emphasizing the biological and cellular roles of diverse chemical modifications of mRNAs, tRNAs, rRNAs, miRNAs, and lncRNAs in plant responses to environmental and hormonal signals. We also propose and discuss critical questions and future challenges for enhancing our understanding of the cellular and mechanistic roles of RNA modifications in plant stress responses. Integrating molecular insights into the regulatory roles of RNA modifications in stress responses with novel genome- and RNA-editing technologies will facilitate the breeding of stress-tolerant crops through precise engineering of RNA modifications.

Research Progress on Natural Products That Regulate miRNAs in the Treatment of Osteosarcoma

miRNAs are small non-coding RNA molecules that play critical roles in the regulation of gene expression and have been closely associated with various diseases, including cancer. These molecules significantly influence the cell cycle of tumor cells and control programmed cell death (apoptosis). Currently, research on miRNAs has become a major focus in developing cancer therapies. Osteosarcoma, a malignant neoplasm predominantly occurring during adolescence and later in life, is characterized by a high propensity for metastasis. This review explores the role of miRNAs in the initiation and progression of cancer, highlighting their potential as predictive biomarkers for disease. It discusses the mechanisms by which natural products modulate miRNA activity to influence apoptosis, ferroptosis, and autophagy in osteosarcoma cells, aiming to identify new strategies for osteosarcoma treatment. Recent studies on how natural products regulate miRNAs to reduce tumor cell resistance to chemotherapy are also reviewed. Furthermore, the review elaborates on how natural products regulate m6A modifications to influence miRNA expression, thereby exerting antitumor effects. In this process, interactions between m6A modifications and miRNAs have been identified, with both jointly influencing tumorigenesis and cancer progression, offering a new perspective in osteosarcoma treatment. These approaches could help uncover novel regulatory mechanisms in osteosarcoma pathways and provide a theoretical foundation for developing new drugs and identifying novel therapeutic targets.

Reading m6A marks in mRNA: A potent mechanism of gene regulation in plants

Modifications to RNA have recently been recognized as a pivotal regulator of gene expression in living organisms. More than 170 chemical modifications have been identified in RNAs, with N6-methyladenosine (m6A) being the most abundant modification in eukaryotic mRNAs. The addition and removal of m6A marks are catalyzed by methyltransferases (referred to as "writers") and demethylases (referred to as "erasers"), respectively. In addition, the m6A marks in mRNAs are recognized and interpreted by m6A-binding proteins (referred to as "readers"), which regulate the fate of mRNAs, including stability, splicing, transport, and translation. Therefore, exploring the mechanism underlying the m6A reader-mediated modulation of RNA metabolism is essential for a much deeper understanding of the epigenetic role of RNA modification in plants. Recent discoveries have improved our understanding of the functions of m6A readers in plant growth and development, stress response, and disease resistance. This review highlights the latest developments in m6A reader research, emphasizing the diverse RNA-binding domains crucial for m6A reader function and the biological and cellular roles of m6A readers in the plant response to developmental and environmental signals. Moreover, we propose and discuss the potential future research directions and challenges in identifying novel m6A readers and elucidating the cellular and mechanistic role of m6A readers in plants.

A comprehensive and systematic analysis of Dihydrolipoamide S-acetyltransferase (DLAT) as a novel prognostic biomarker in pan-cancer and glioma

Background

Dihydrolipoamide S-acetyltransferase (DLAT) is a subunit of the pyruvate dehydrogenase complex (PDC), a rate-limiting enzyme complex, that can participate in either glycolysis or the tricarboxylic acid cycle (TCA). However, the pathogenesis is not fully understood. We aimed to perform a more systematic and comprehensive analysis of DLAT in the occurrence and progression of tumors, and to investigate its function in patients' prognosis and immunotherapy.

Methods

The differential expression, diagnosis, prognosis, genetic and epigenetic alterations, tumor microenvironment, stemness, immune infiltration cells, function enrichment, single-cell analysis, and drug response across cancers were conducted based on multiple computational tools. Additionally, we validated its carcinogenic effect and possible mechanism in glioma cells.

Results

We exhibited that DLAT expression was increased in most tumors, especially in glioma, and affected the survival of tumor patients. DLAT was related to RNA modification genes, DNA methylation, immune infiltration, and immune infiltration cells, including CD4+ T cells, CD8+ T cells, Tregs, and cancer-associated fibroblasts. Single-cell analysis displayed that DLAT might regulate cancer by mediating angiogenesis, inflammation, and stemness. Enrichment analysis revealed that DLAT might take part in the cell cycle pathway. Increased expression of DLAT leads tumor cells to be more resistant to many kinds of compounds, including PI3Kβ inhibitors, PKC inhibitors, HSP90 inhibitors, and MEK inhibitors. In addition, glioma cells with DLAT silence inhibited proliferation, migration, and invasion ability, and promoted cell apoptosis.

Conclusion

We conducted a comprehensive analysis of DLAT in the occurrence and progression of tumors, and its possible functions and mechanisms. DLAT is a potential diagnostic, prognostic, and immunotherapeutic biomarker for cancer patients.

METTL14 mediates nerve growth factor-stimulated testosterone synthesis in porcine theca cells†

Ovarian theca cells produce testosterone, which acts as a vital precursor substance for synthesizing estrogens during follicular development. Nerve growth factor (NGF) has been shown to participate in reproductive physiology, specifically to follicular development and ovulation. There is currently no available data on the impact of NGF on testosterone synthesis in porcine theca cells. Furthermore, m6A modification is the most common internal modification in eukaryotic mRNAs that are closely associated with female gametogenesis, follicle development, ovulation, and other related processes. It is also uncertain whether the three main enzymes associated with m6A, such as Writers, Erasers, and Readers, play a role in this process. The present study, with an in vitro culture model, investigated the effect of NGF on testosterone synthesis in porcine theca cells and the role of Writers-METTL14 in this process. It was found that NGF activates the PI3K/AKT signaling pathway through METTL14, which regulates testosterone synthesis in porcine theca cells. This study will help to further elucidate the mechanisms by which NGF regulates follicular development and provide new therapeutic targets for ovary-related diseases in female animals. Summary Sentence  The present study investigated the effect of NGF on testosterone synthesis in porcine theca cells. It was found that NGF activates the PI3K/AKT signaling pathway through METTL14, which regulates testosterone synthesis in porcine theca cells.

Emerging role of RNA modification and long noncoding RNA interaction in cancer

RNA modification, especially N6-methyladenosine, 5-methylcytosine, and N7-methylguanosine methylation, participates in the occurrence and progression of cancer through multiple pathways. The function and expression of these epigenetic regulators have gradually become a hot topic in cancer research. Mutation and regulation of noncoding RNA, especially lncRNA, play a major role in cancer. Generally, lncRNAs exert tumor-suppressive or oncogenic functions and its dysregulation can promote tumor occurrence and metastasis. In this review, we summarize N6-methyladenosine, 5-methylcytosine, and N7-methylguanosine modifications in lncRNAs. Furthermore, we discuss the relationship between epigenetic RNA modification and lncRNA interaction and cancer progression in various cancers. Therefore, this review gives a comprehensive understanding of the mechanisms by which RNA modification affects the progression of various cancers by regulating lncRNAs, which may shed new light on cancer research and provide new insights into cancer therapy.

Non-coding RNA-Mediated N6-Methyladenosine (m6A) deposition: A pivotal regulator of cancer, impacting key signaling pathways in carcinogenesis and therapy response

The emergence of RNA modifications has recently been considered as critical post-transcriptional regulations which governed gene expression. N6-methyladenosine (m6A) modification is the most abundant type of RNA modification which is mediated by three distinct classes of proteins called m6A writers, readers, and erasers. Accumulating evidence has been made in understanding the role of m6A modification of non-coding RNAs (ncRNAs) in cancer. Importantly, aberrant expression of ncRNAs and m6A regulators has been elucidated in various cancers. As the key role of ncRNAs in regulation of cancer hallmarks is well accepted now, it could be accepted that m6A modification of ncRNAs could affect cancer progression. The present review intended to discuss the latest knowledge and importance of m6A epigenetic regulation of ncRNAs including mircoRNAs, long non-coding RNAs, and circular RNAs, and their interaction in the context of cancer. Moreover, the current insight into the underlying mechanisms of therapy resistance and also immune response and escape mediated by m6A regulators and ncRNAs are discussed.

METTL3 as a master regulator of translation in cancer: mechanisms and implications

Translational regulation is an important step in the control of gene expression. In cancer cells, the orchestration of both global control of protein synthesis and selective translation of specific mRNAs promote tumor cell survival, angiogenesis, transformation, invasion and metastasis. N6-methyladenosine (m6A), the most prevalent mRNA modification in higher eukaryotes, impacts protein translation. Over the past decade, the development of m6A mapping tools has facilitated comprehensive functional investigations, revealing the involvement of this chemical mark, together with its writer METTL3, in promoting the translation of both oncogenes and tumor suppressor transcripts, with the impact being context-dependent. This review aims to consolidate our current understanding of how m6A and METTL3 shape translation regulation in the realm of cancer biology. In addition, it delves into the role of cytoplasmic METTL3 in protein synthesis, operating independently of its catalytic activity. Ultimately, our goal is to provide critical insights into the interplay between m6A, METTL3 and translational regulation in cancer, offering a deeper comprehension of the mechanisms sustaining tumorigenesis.

Identifying N6-Methyladenosine Sites in HepG2 Cell Lines Using Oxford Nanopore Technology

RNA modifications, particularly N6-methyladenosine (m6A), are pivotal regulators of RNA functionality and cellular processes. We analyzed m6A modifications by employing Oxford Nanopore technology and the m6Anet algorithm, focusing on the HepG2 cell line. We identified 3968 potential m6A modification sites in 2851 transcripts, corresponding to 1396 genes. A gene functional analysis revealed the active involvement of m6A-modified genes in ubiquitination, transcription regulation, and protein folding processes, aligning with the known role of m6A modifications in histone ubiquitination in cancer. To ensure data robustness, we assessed reproducibility across technical replicates. This study underscores the importance of evaluating algorithmic reproducibility, especially in supervised learning. Furthermore, we examined correlations between transcriptomic, translatomic, and proteomic levels. A strong transcriptomic-translatomic correlation was observed. In conclusion, our study deepens our understanding of m6A modifications' multifaceted impacts on cellular processes and underscores the importance of addressing reproducibility concerns in analytical approaches.

Workability of mRNA Sequencing for Predicting Protein Abundance

Transcriptomics methods (RNA-Seq, PCR) today are more routine and reproducible than proteomics methods, i.e., both mass spectrometry and immunochemical analysis. For this reason, most scientific studies are limited to assessing the level of mRNA content. At the same time, protein content (and its post-translational status) largely determines the cell's state and behavior. Such a forced extrapolation of conclusions from the transcriptome to the proteome often seems unjustified. The ratios of "transcript-protein" pairs can vary by several orders of magnitude for different genes. As a rule, the correlation coefficient between transcriptome-proteome levels for different tissues does not exceed 0.3-0.5. Several characteristics determine the ratio between the content of mRNA and protein: among them, the rate of movement of the ribosome along the mRNA and the number of free ribosomes in the cell, the availability of tRNA, the secondary structure, and the localization of the transcript. The technical features of the experimental methods also significantly influence the levels of the transcript and protein of the corresponding gene on the outcome of the comparison. Given the above biological features and the performance of experimental and bioinformatic approaches, one may develop various models to predict proteomic profiles based on transcriptomic data. This review is devoted to the ability of RNA sequencing methods for protein abundance prediction.

EMDL_m6Am: identifying N6,2'-O-dimethyladenosine sites based on stacking ensemble deep learning

BACKGROUND

N6, 2'-O-dimethyladenosine (m6Am) is an abundant RNA methylation modification on vertebrate mRNAs and is present in the transcription initiation region of mRNAs. It has recently been experimentally shown to be associated with several human disorders, including obesity genes, and stomach cancer, among others. As a result, N6,2'-O-dimethyladenosine (m6Am) site will play a crucial part in the regulation of RNA if it can be correctly identified.

RESULTS

This study proposes a novel deep learning-based m6Am prediction model, EMDL_m6Am, which employs one-hot encoding to expressthe feature map of the RNA sequence and recognizes m6Am sites by integrating different CNN models via stacking. Including DenseNet, Inflated Convolutional Network (DCNN) and Deep Multiscale Residual Network (MSRN), the sensitivity (Sn), specificity (Sp), accuracy (ACC), Mathews correlation coefficient (MCC) and area under the curve (AUC) of our model on the training data set reach 86.62%, 88.94%, 87.78%, 0.7590 and 0.8778, respectively, and the prediction results on the independent test set are as high as 82.25%, 79.72%, 80.98%, 0.6199, and 0.8211.

CONCLUSIONS

In conclusion, the experimental results demonstrated that EMDL_m6Am greatly improved the predictive performance of the m6Am sites and could provide a valuable reference for the next part of the study. The source code and experimental data are available at: https://github.com/13133989982/EMDL-m6Am .

The Emerging Role of RNA in Diseases and Cancers

In recent years, there has been a growing interest in the role of RNA in diseases and cancers [...].

Translational Control of Metabolism and Cell Cycle Progression in Hepatocellular Carcinoma

The liver is a metabolic hub characterized by high levels of protein synthesis. Eukaryotic initiation factors, eIFs, control the first phase of translation, initiation. Initiation factors are essential for tumor progression and, since they regulate the translation of specific mRNAs downstream of oncogenic signaling cascades, may be druggable. In this review, we address the issue of whether the massive translational machinery of liver cells contributes to liver pathology and to the progression of hepatocellular carcinoma (HCC); it represents a valuable biomarker and druggable target. First, we observe that the common markers of HCC cells, such as phosphorylated ribosomal protein S6, belong to the ribosomal and translational apparatus. This fact is in agreement with observations that demonstrate a huge amplification of the ribosomal machinery during the progression to HCC. Some translation factors, such as eIF4E and eIF6, are then harnessed by oncogenic signaling. In particular, the action of eIF4E and eIF6 is particularly important in HCC when driven by fatty liver pathologies. Indeed, both eIF4E and eIF6 amplify at the translational level the production and accumulation of fatty acids. As it is evident that abnormal levels of these factors drive cancer, we discuss their therapeutic value.

Integrated analysis of the voltage-gated potassium channel-associated gene KCNH2 across cancers

KCNH2 encodes the human ether-a-go-go-related gene (hERG) potassium channel and is an important repolarization reserve for regulating cardiac electrical activity. Increasing evidence suggests that it is involved in the development of various tumours, yet a thorough analysis of the underlying process has not been performed. Here, we have comprehensively examined the role of KCNH2 in multiple cancers by assessing KCNH2 gene expression, diagnostic and prognostic value, genetic alterations, immune infiltration correlations, RNA modifications, mutations, clinical correlations, interacting proteins, and associated signalling pathways. KCNH2 is differentially expressed in over 30 cancers and has a high diagnostic value for 10 tumours. Survival analysis showed that high expression of KCNH2 was associated with a poor prognosis in glioblastoma multiforme (GBM) and hepatocellular carcinoma (LIHC). Mutations and RNA methylation modifications (especially m6A) of KCNH2 are associated with its expression in multiple tumours. KCNH2 expression is correlated with tumour mutation burden, microsatellite instability, neoantigen load, and mutant-allele tumour heterogeneity. In addition, KCNH2 expression is associated with the tumour immune microenvironment and its immunosuppressive phenotype. KEGG signalling pathway enrichment analysis revealed that KCNH2 and its interacting molecules are involved in a variety of pathways related to carcinogenesis and signal regulation, such as the PI3K/Akt and focal adhesion pathways. Overall, we found that KCNH2 and its interaction molecular are expected to be immune-related biomarkers for cancer diagnosis and prognosis evaluation, and are potential regulatory targets of singalling pathways for tumour development due to their significant role in cancers.

Interplay of four types of RNA modification writers revealed distinct tumor microenvironment and biological characteristics in pancreatic cancer

Background

Pancreatic cancer (PC) is one of the most lethal malignancies and carries a dismal mortality and morbidity. Four types of RNA modification (namely m6A, m1A, APA and A-to-I) could be catalyzed by distinct enzymatic compounds ("writers"), mediating numerous epigenetic events in carcinogenesis and immunomodulation. We aim to investigate the interplay mechanism of these writers in immunogenomic features and molecular biological characteristics in PC.

Methods

We first accessed the specific expression pattern and transcriptional variation of 26 RNA modification writers in The Cancer Genome Atlas (TCGA) dataset. Unsupervised consensus clustering was performed to divide patients into two RNA modification clusters. Then, based on the differentially expressed genes (DEGs) among two clusters, RNA modification score (WM_Score) model was established to determine RNA modification-based subtypes and was validated in International Cancer Genome Consortium (ICGC) dataset. What's more, we manifested the unique status of WM_Score in transcriptional and post-transcriptional regulation, molecular biological characteristics, targeted therapies and immunogenomic patterns.

Results

We documented the tight-knit correlations between transcriptional expression and variation of RNA modification writers. We classified patients into two distinct RNA modification patterns (WM_Score_high and _low), The WM_Score_high subgroup was correlated with worse prognosis, Th2/Th17 cell polarization and oncogenic pathways (e.g. EMT, TGF-β, and mTORC1 signaling pathways), whereas the WM_Score_low subgroup associated with favorable survival rate and Th1 cell trend. WM_Score model also proved robust predictive power in interpreting transcriptional and post-transcriptional events. Additionally, the potential targeted compounds with related pathways for the WM_Score model were further identified.

Conclusions

Our research unfolds a novel horizon on the interplay network of four RNA modifications in PC. This WM_Score model demonstrated powerful predictive capacity in epigenetic, immunological and biological landscape, providing a theoretical basis for future clinical judgments of PC.