IDH2 contributes to tumorigenesis and poor prognosis by regulating m6A RNA methylation in multiple myeloma

Oncogene ◽  
2021 ◽  
Author(s):  
Sha Song ◽  
Gao Fan ◽  
Qi Li ◽  
Qi Su ◽  
Xinyun Zhang ◽  
...  
BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hao Zhou ◽  
Miaosen Zheng ◽  
Muqi Shi ◽  
Jinjie Wang ◽  
Zhanghao Huang ◽  
...  

Abstract Background Lung adenocarcinoma (LUAD) is a major subtype of lung cancer and closely associated with poor prognosis. N6-methyladenosine (m6A), one of the most predominant modifications in mRNAs, is found to participate in tumorigenesis. However, the potential function of m6A RNA methylation in the tumor immune microenvironment is still murky. Methods The gene expression profile cohort and its corresponding clinical data of LUAD patients were downloaded from TCGA database and GEO database. Based on the expression of 21 m6A regulators, we identified two distinct subgroups by consensus clustering. The single-sample gene-set enrichment analysis (ssGSEA) algorithm was conducted to quantify the relative abundance of the fraction of 28 immune cell types. The prognostic model was constructed by Lasso Cox regression. Survival analysis and receiver operating characteristic (ROC) curves were used to evaluate the prognostic model. Result Consensus classification separated the patients into two clusters (clusters 1 and 2). Those patients in cluster 1 showed a better prognosis and were related to higher immune scores and more immune cell infiltration. Subsequently, 457 differentially expressed genes (DEGs) between the two clusters were identified, and then a seven-gene prognostic model was constricted. The survival analysis showed poor prognosis in patients with high-risk score. The ROC curve confirmed the predictive accuracy of this prognostic risk signature. Besides, further analysis indicated that there were significant differences between the high-risk and low-risk groups in stages, status, clustering subtypes, and immunoscore. Low-risk group was related to higher immune score, more immune cell infiltration, and lower clinical stages. Moreover, multivariate analysis revealed that this prognostic model might be a powerful prognostic predictor for LUAD. Ultimately, the efficacy of this prognostic model was successfully validated in several external cohorts (GSE30219, GSE50081 and GSE72094). Conclusion Our study provides a robust signature for predicting patients’ prognosis, which might be helpful for therapeutic strategies discovery of LUAD.


2021 ◽  
Vol Volume 14 ◽  
pp. 413-426
Author(s):  
Jingsun Wei ◽  
Yucheng Qian ◽  
Yang Tang ◽  
Xiaoxu Ge ◽  
Kai Jiang ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Rui Liu ◽  
Ying Shen ◽  
Jinsong Hu ◽  
Xiaman Wang ◽  
Dong Wu ◽  
...  

BackgroundN6-methyladenosine is the most abundant RNA modification, which plays a prominent role in various biology processes, including tumorigenesis and immune regulation. Multiple myeloma (MM) is the second most frequent hematological malignancy.Materials and MethodsTwenty-two m6A RNA methylation regulators were analyzed between MM patients and normal samples. Kaplan–Meier survival analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis were employed to construct the risk signature model. Receiver operation characteristic (ROC) curves were used to verify the prognostic and diagnostic efficiency. Immune infiltration level was evaluated by ESTIMATE algorithm and immune-related single-sample gene set enrichment analysis (ssGSEA).ResultsHigh expression of HNRNPC, HNRNPA2B1, and YTHDF2 and low expression of ZC3H13 were associated with poor survival. Based on these four genes, a prognostic risk signature model was established. Multivariate Cox regression analysis demonstrated that the risk score was an independent prognostic factor of MM. Enrichment analysis showed that cell cycle, immune response, MYC, proteasome, and unfold protein reaction were enriched in high-risk MM patients. Furthermore, patients with higher risk score exhibited lower immune scores and lower immune infiltration level.ConclusionThe m6A-based prognostic risk score accurately and robustly predicts the survival of MM patients and is associated with the immune infiltration level, which complements current prediction models and enhances our cognition of immune infiltration.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3063-3063
Author(s):  
Aoshuang Xu ◽  
Jiasi Zhang ◽  
Liping Zuo ◽  
Jian Xu ◽  
Xuejiao Yin ◽  
...  

Introduction :Extramedullary myeloma (EMM), defined by the presence of clonal cells outside the bone marrow, has extraordinarily heterogeneous biological and clinical features and is associated with an adverse prognosis. Recent studies have shown the upregulation of heat shock transcription factor 1 (HSF1) in EMM (Heimberger et al, Brit J Haematol 2013), but little is known about its role and mechanisms underlying the regulation. There is growing evidence that dysregulation of N6-methyladenosine (m6A) RNA methylation plays an important role in tumor invasion and metastasis (Pan et al, J Hematol Oncol 2018) and the m6A RNA modifications are involved in the heat shock response. This study was designed to reveal that the fat mass and obesity-associate protein (FTO), as a major m6A demethylase, plays a critical oncogenic role in extramedullary metastasis in multiple myeloma (MM) through regulating HSF1 and heat shock proteins (HSPs). Methods and results: Using transcriptome sequencing, we determined that FTO was significantly upregulated in plasma cells (PCs) from EMM and MM patients, compared to healthy donors. We then evaluated the expression levels of FTO and HSF1 in plasma cells (PCs) from EMM patients by qRT-PCR and western blot analysis. The results verified that FTO and HSF1 were markedly upregulated in PCs from newly diagnosed MM patients compared to healthy donors, and it was further upregulated in PCs from patients with EMM. And the expression levels of FTO was positively correlated with HSF1. Measured by colorimetric assay, we found that m6A RNA methylation level of EMM patients was lower than the level of MM and healthy donors, which was consistent with the expression of FTO in EMM patients. Importantly, enforced expression or knockdown expression of FTO via lentivirus transfection, dramatically influenced the proliferation, migration and invasion in MM cells. m6A RNA methylation has been reported to been associated with heat shock response (Zhou et al, Nature 2015). We therefore examined whether FTO can regulate HSF1 in EMM. Enforced expression of FTO dramatically elevated the level of HSF1 and HSPs in MM.1R and RPMI8226 cells, while inhibition of FTO reduced the level of HSF1 and HSPs. Through m6A sequencing and RNA sequencing, we confirmed that HSF1 was a novel target of FTO. Indeed, the demethylase FTO could positively regulate the expression of HSF1 at both the mRNA and protein levels in MM cells. In addition, knockdown of HSF1 by siRNA markedly reduced the ability of migration and invasion of MM cells overexpressing FTO. Thus, these results suggest that HSF1 is a key target gene of demethylase FTO in EMM. Moreover, pharmacological inhibitors of FTO, MA and MA2, could significantly enhance the effect of bortezomib in MM cells. Recent studies have suggested that for m6A modification to exert its biological functions, it must first be recognized by m6A reader proteins. Here, we evaluated whether demethylase FTO could regulate the level of HSF1 via YTHDF2, a crucial m6A reader protein. We confirmed with colorimetric assay that overexpression of FTO could reduce m6A levels in MM cells, and knockdown of FTO could enhance the m6A levels. Using RNA immuno-precipitation sequence (RIP-seq), we identified direct binding between the 3' end of the HSF1 transcript and the m6A reader protein YTHDF2. Consistently, we showed that silencing of YTHDF2 with siRNA strongly promoted HSF1 expression in MM cells with knockdown of FTO. In addition, by RNA stability analysis, we found that the YTHDF2 could regulate the expression of HSF1 through affecting the stability of HSF1. Next, we evaluated whether FTO could regulate extramedullary metastasis of MM in vivo. NCG mice were injected via tail vein with RPMI-8226-luc cells to establish EMM xenografts. Mice were assessed by in vivo bioluminescent imaging and PET-CT. The results showed that combined treatment with MA2 plus bortezomib could remarkably reduce the extramedullary metastasis in MM. Conclusions: Our datas reveal that FTO is frequently up-regulated in EMM and contributes to MM progression. FTO promotes HSF1 expression through inhibiting the degradation effect of YTHDF2 by reducing m6A levels in these mRNA transcripts. Therefore, FTO-YTHDF2-HSF1 regulatory axis may potentially be applied in EMM treatment. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mohammad Burhan Uddin ◽  
Zhishan Wang ◽  
Chengfeng Yang

AbstractThe m6A RNA methylation is the most prevalent internal modification in mammalian mRNAs which plays critical biological roles by regulating vital cellular processes. Dysregulations of the m6A modification due to aberrant expression of its regulatory proteins are frequently observed in many pathological conditions, particularly in cancer. Normal cells undergo malignant transformation via activation or modulation of different oncogenic signaling pathways through complex mechanisms. Accumulating evidence showing regulation of oncogenic signaling pathways at the epitranscriptomic level has added an extra layer of the complexity. In particular, recent studies demonstrated that, in many types of cancers various oncogenic signaling pathways are modulated by the m6A modification in the target mRNAs as well as noncoding RNA transcripts. m6A modifications in these RNA molecules control their fate and metabolism by regulating their stability, translation or subcellular localizations. In this review we discussed recent exciting studies on oncogenic signaling pathways that are modulated by the m6A RNA modification and/or their regulators in cancer and provided perspectives for further studies. The regulation of oncogenic signaling pathways by the m6A modification and its regulators also render them as potential druggable targets for the treatment of cancer.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Fei Ye ◽  
Tianzhu Wang ◽  
Xiaoxin Wu ◽  
Jie Liang ◽  
Jiaoxing Li ◽  
...  

Abstract Background Progressive multiple sclerosis (PMS) is an uncommon and severe subtype of MS that worsens gradually and leads to irreversible disabilities in young adults. Currently, there are no applicable or reliable biomarkers to distinguish PMS from relapsing–remitting multiple sclerosis (RRMS). Previous studies have demonstrated that dysfunction of N6-methyladenosine (m6A) RNA modification is relevant to many neurological disorders. Thus, the aim of this study was to explore the diagnostic biomarkers for PMS based on m6A regulatory genes in the cerebrospinal fluid (CSF). Methods Gene expression matrices were downloaded from the ArrayExpress database. Then, we identified differentially expressed m6A regulatory genes between MS and non-MS patients. MS clusters were identified by consensus clustering analysis. Next, we analyzed the correlation between clusters and clinical characteristics. The random forest (RF) algorithm was applied to select key m6A-related genes. The support vector machine (SVM) was then used to construct a diagnostic gene signature. Receiver operating characteristic (ROC) curves were plotted to evaluate the accuracy of the diagnostic model. In addition, CSF samples from MS and non-MS patients were collected and used for external validation, as evaluated by an m6A RNA Methylation Quantification Kit and by real-time quantitative polymerase chain reaction. Results The 13 central m6A RNA methylation regulators were all upregulated in MS patients when compared with non-MS patients. Consensus clustering analysis identified two clusters, both of which were significantly associated with MS subtypes. Next, we divided 61 MS patients into a training set (n = 41) and a test set (n = 20). The RF algorithm identified eight feature genes, and the SVM method was successfully applied to construct a diagnostic model. ROC curves revealed good performance. Finally, the analysis of 11 CSF samples demonstrated that RRMS samples exhibited significantly higher levels of m6A RNA methylation and higher gene expression levels of m6A-related genes than PMS samples. Conclusions The dynamic modification of m6A RNA methylation is involved in the progression of MS and could potentially represent a novel CSF biomarker for diagnosing MS and distinguishing PMS from RRMS in the early stages of the disease.


2021 ◽  
pp. 108616
Author(s):  
Nidhi Kumari ◽  
Aditi Karmakar ◽  
Md Maqsood Ahamad Khan ◽  
Senthil Kumar Ganesan

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