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Xie H, Deng YM, Li JY, Xie KH, Tao T, Zhang JF. Predicting the risk of primary Sjögren's syndrome with key N7-methylguanosine-related genes: A novel XGBoost model. Heliyon 2024; 10:e31307. [PMID: 38803884 PMCID: PMC11128997 DOI: 10.1016/j.heliyon.2024.e31307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 05/29/2024] Open
Abstract
Objectives N7-methylguanosine (m7G) plays a crucial role in mRNA metabolism and other biological processes. However, its regulators' function in Primary Sjögren's Syndrome (PSS) remains enigmatic. Methods We screened five key m7G-related genes across multiple datasets, leveraging statistical and machine learning computations. Based on these genes, we developed a prediction model employing the extreme gradient boosting decision tree (XGBoost) method to assess PSS risk. Immune infiltration in PSS samples was analyzed using the ssGSEA method, revealing the immune landscape of PSS patients. Results The XGBoost model exhibited high accuracy, AUC, sensitivity, and specificity in both training, test sets and extra-test set. The decision curve confirmed its clinical utility. Our findings suggest that m7G methylation might contribute to PSS pathogenesis through immune modulation. Conclusions m7G regulators play an important role in the development of PSS. Our study of m7G-realted genes may inform future immunotherapy strategies for PSS.
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Affiliation(s)
- Hui Xie
- Department of Radiotherapy, Affiliated Hospital (Clinical College) of Xiangnan University, Chenzhou, 423000, PR China
- Faulty of Applied Sciences, Macao Polytechnic University, Macao, 999078, PR China
| | - Yin-mei Deng
- Department of Nursing, Affiliated Hospital (Clinical College) of Xiangnan University, Chenzhou, 423000, PR China
| | - Jiao-yan Li
- Department of Rheumatology and Clinical Immunology, The First Hospital of Changsha, 410005, Changsha, PR China
| | - Kai-hong Xie
- Department of Oncology, Affiliated Hospital (Clinical College) of Xiangnan University, Chenzhou, 423000, PR China
| | - Tan Tao
- Faulty of Applied Sciences, Macao Polytechnic University, Macao, 999078, PR China
| | - Jian-fang Zhang
- Department of Physical Examination, Center for Disease Control and Prevention of Beihu District, Chenzhou, 423000, PR China
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Han M, Huang Q, Li X, Chen X, Zhu H, Pan Y, Zhang B. M7G-related tumor immunity: novel insights of RNA modification and potential therapeutic targets. Int J Biol Sci 2024; 20:1238-1255. [PMID: 38385078 PMCID: PMC10878144 DOI: 10.7150/ijbs.90382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/09/2024] [Indexed: 02/23/2024] Open
Abstract
RNA modifications play a pivotal role in regulating cellular biology by exerting influence over distribution features and molecular functions at the post-transcriptional level. Among these modifications, N7-methylguanosine (m7G) stands out as one of the most prevalent. Over recent years, significant attention has been directed towards understanding the implications of m7G modification. This modification is present in diverse RNA molecules, including transfer RNAs, messenger RNAs, ribosomal RNAs, and other noncoding RNAs. Its regulation occurs through a series of specific methyltransferases and m7G-binding proteins. Notably, m7G modification has been implicated in various diseases, prominently across multiple cancer types. Earlier studies have elucidated the significance of m7G modification in the context of immune biology regulation within the tumor microenvironment. This comprehensive review culminates in a synthesis of findings related to the modulation of immune cells infiltration, encompassing T cells, B cells, and various innate immune cells, all orchestrated by m7G modification. Furthermore, the interplay between m7G modification and its regulatory proteins can profoundly affect the efficacy of diverse adjuvant therapeutics, thereby potentially serving as a pivotal biomarker and therapeutic target for combinatory interventions in diverse cancer types.
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Affiliation(s)
- Mengzhen Han
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan, Hubei 430030, China
| | - Qibo Huang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan, Hubei 430030, China
| | - Xinxin Li
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan, Hubei 430030, China
| | - Xiaoping Chen
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan, Hubei 430030, China
| | - He Zhu
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan, Hubei 430030, China
| | - Yonglong Pan
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan, Hubei 430030, China
| | - Bixiang Zhang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan, Hubei 430030, China
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Maimaiti A, Feng Z, Liu Y, Turhon M, Xie Z, Baihetiyaer Y, Wang X, Kasimu M, Jiang L, Wang Y, Wang Z, Pei Y. Correction: N7‑methylguanosin regulators‑mediated methylation modification patterns and characterization of the immune microenvironment in lower‑grade glioma. Eur J Med Res 2024; 29:59. [PMID: 38243305 PMCID: PMC10799520 DOI: 10.1186/s40001-024-01656-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024] Open
Affiliation(s)
- Aierpati Maimaiti
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Zhaohai Feng
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Yanwen Liu
- Department of Medical Laboratory, Xinjiang Production and Construction Corps Hospital, Urumqi, 830002, Xinjiang, China
| | - Mirzat Turhon
- Department of Neurointerventional Surgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China
- Department of Neurointerventional Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Zhihao Xie
- The Second Hospital of Jilin University, Changchun, 130041, Jilin, China
| | - Yilimire Baihetiyaer
- Department of Neurology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China
| | - Xixian Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Maimaitijiang Kasimu
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Lei Jiang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Yongxin Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China.
| | - Zengliang Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China.
- People's Hospital of Mongolian Autonomous Prefecture of Bayingolin, Korla, 841000, Xinjiang, China.
| | - Yinan Pei
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China.
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Liu L, Chen J, Ye F, Yan Y, Wang Y, Wu J. A Novel RNA Methylation-Related Prognostic Signature and its Tumor Microenvironment Characterization in Hepatocellular Carcinoma. Technol Cancer Res Treat 2024; 23:15330338241276895. [PMID: 39155614 PMCID: PMC11331574 DOI: 10.1177/15330338241276895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/30/2024] [Accepted: 08/01/2024] [Indexed: 08/20/2024] Open
Abstract
INTRODUCTION Hepatocellular carcinoma (HCC) is one of the most common malignant tumors of the digestive system. RNA methylation plays an important role in tumorigenesis and metastasis, which could alter gene expression and even function at multiple levels, such as RNA splicing, stability, translocation, and translation. In this study, we aimed to conduct a comprehensive analysis of RNA methylation-related genes (RMGs) in HCC and their relationship with survival and clinical features. METHODS A retrospective analysis was performed using publicly available HCC-related datasets. The differentially expressed genes (DEGs) between HCC and controls were identified from TCGA-LlHC and intersected with RMGs to obtain differentially expressed RNA methylation-related genes (DERMGs). Regression analysis was used to screen for prognostic genes and construct risk models. Simultaneously, clinical, immune infiltration and therapeutic efficacy analyses were performed. Finally, multivariate cox regression was used to identify independent risk factors, and quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate the expression levels of the core genes of the model. RESULTS A 21-gene risk model for HCC was established with excellent performance based on ROC curves and survival analysis. Risk scores correlated with tumor grade, pathologic T, and TNM stage. Immune infiltration analysis showed correlations with immune scores, 11 immune cells, and 30 immune checkpoints. Low-risk patients showed a higher susceptibility to immunotherapy. The risk score and TNM stage were independent prognostic factors. qRT-PCR confirmed higher expression of PRDM9, ALPP, and GAD1 in HCC. CONCLUSIONS This study identified RNA methylation-related signature genes in HCC and constructed a risk model that predicts patient outcomes and reflects the immune microenvironment. Prognostic genes are involved in complex regulatory mechanisms, which may be useful for cancer diagnosis, prognosis, and therapy.
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Affiliation(s)
- Luzheng Liu
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
- Department of Interventional Radiology and Vascular Surgery, Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jiacheng Chen
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Fei Ye
- Department of Blood Cell Therapy, Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yanggang Yan
- Department of Interventional Radiology and Vascular Surgery, Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yong Wang
- Department of Interventional Radiology and Vascular Surgery, Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jincai Wu
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
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Long S, Yan Y, Xu H, Wang L, Jiang J, Xu Z, Liu R, Zhou Q, Huang X, Chen J, Li Z, Wei W, Li X. Insights into the regulatory role of RNA methylation modifications in glioma. J Transl Med 2023; 21:810. [PMID: 37964279 PMCID: PMC10644640 DOI: 10.1186/s12967-023-04653-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/24/2023] [Indexed: 11/16/2023] Open
Abstract
Epitranscriptomic abnormalities, which are highly prevalent in primary central nervous system malignancies, have been identified as crucial contributors to the development and progression of gliomas. RNA epitranscriptomic modifications, particularly the reversible modification methylation, have been observed throughout the RNA cycle. Epitranscriptomic modifications, which regulate RNA transcription and translation, have profound biological implications. These modifications are associated with the development of several cancer types. Notably, three main protein types-writers, erasers, and readers, in conjunction with other related proteins, mediate these epitranscriptomic changes. This review primarily focuses on the role of recently identified RNA methylation modifications in gliomas, such as N6-methyladenosine (m6A), 5-methylcytosine (m5C), N7-methylguanosine (m7G), and N1-methyladenosine (m1A). We delved into their corresponding writers, erasers, readers, and related binding proteins to propose new approaches and prognostic indicators for patients with glioma.
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Affiliation(s)
- Shengrong Long
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yu Yan
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Hongyu Xu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Lesheng Wang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jiazhi Jiang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Ziyue Xu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Runming Liu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Qiangqiang Zhou
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Xiaopeng Huang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jincao Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Zhiqiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Wei Wei
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
| | - Xiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
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Ma C, Li J, Chi Y, Sun X, Yang M, Sui X. Identification and prediction of m7G-related Alzheimer's disease subtypes: insights from immune infiltration and machine learning models. Front Aging Neurosci 2023; 15:1161068. [PMID: 37396662 PMCID: PMC10312082 DOI: 10.3389/fnagi.2023.1161068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Introduction Alzheimer's disease (AD) is a complex and progressive neurodegenerative disorder that primarily affects older individuals. N7-methylguanosine (m7G) is a common RNA chemical modification that impacts the development of numerous diseases. Thus, our work investigated m7G-related AD subtypes and established a predictive model. Methods The datasets for AD patients, including GSE33000 and GSE44770, were obtained from the Gene Expression Omnibus (GEO) database, which were derived from the prefrontal cortex of the brain. We performed differential analysis of m7G regulators and examined the immune signatures differences between AD and matched-normal samples. Consensus clustering was employed to identify AD subtypes based on m7G-related differentially expressed genes (DEGs), and immune signatures were explored among different clusters. Furthermore, we developed four machine learning models based on the expression profiles of m7G-related DEGs and identified five important genes from the optimal model. We evaluated the predictive power of the 5-gene-based model using an external AD dataset (GSE44770). Results A total of 15 genes related to m7G were found to be dysregulated in patients with AD compared to non-AD patients. This finding suggests that there are differences in immune characteristics between these two groups. Based on the differentially expressed m7G regulators, we categorized AD patients into two clusters and calculated the ESTIMATE score for each cluster. Cluster 2 exhibited a higher ImmuneScore than Cluster 1. We performed the receiver operating characteristic (ROC) analysis to compare the performance of four models, and we found that the Random Forest (RF) model had the highest AUC value of 1.000. Furthermore, we tested the predictive efficacy of a 5-gene-based RF model on an external AD dataset and obtained an AUC value of 0.968. The nomogram, calibration curve, and decision curve analysis (DCA) confirmed the accuracy of our model in predicting AD subtypes. Conclusion The present study systematically examines the biological significance of m7G methylation modification in AD and investigates its association with immune infiltration characteristics. Furthermore, the study develops potential predictive models to assess the risk of m7G subtypes and the pathological outcomes of patients with AD, which can facilitate risk classification and clinical management of AD patients.
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Affiliation(s)
- Chao Ma
- Department of General Medicine, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
- School of Clinical Medicine, Weifang Medical University, Weifang, Shandong, China
| | - Jian Li
- Department of Neurology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
| | - Yuhua Chi
- Department of General Medicine, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
| | - Xuan Sun
- Department of General Medicine, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
| | - Maoquan Yang
- School of Clinical Medicine, Weifang Medical University, Weifang, Shandong, China
| | - Xueqin Sui
- Department of General Medicine, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
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