1
|
Yuan W, Zhang R, Lyu H, Xiao S, Guo D, Zhang Q, Ali DW, Michalak M, Chen XZ, Zhou C, Tang J. Dysregulation of tRNA methylation in cancer: Mechanisms and targeting therapeutic strategies. Cell Death Discov 2024; 10:327. [PMID: 39019857 PMCID: PMC11254935 DOI: 10.1038/s41420-024-02097-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 07/04/2024] [Accepted: 07/09/2024] [Indexed: 07/19/2024] Open
Abstract
tRNA is the RNA type that undergoes the most modifications among known RNA, and in recent years, tRNA methylation has emerged as a crucial process in regulating gene translation. Dysregulation of tRNA abundance occurs in cancer cells, along with increased expression and activity of tRNA methyltransferases to raise the level of tRNA modification and stability. This leads to hijacking of translation and synthesis of multiple proteins associated with tumor proliferation, metastasis, invasion, autophagy, chemotherapy resistance, and metabolic reprogramming. In this review, we provide an overview of current research on tRNA methylation in cancer to clarify its involvement in human malignancies and establish a theoretical framework for future therapeutic interventions targeting tRNA methylation processes.
Collapse
Affiliation(s)
- Wenbin Yuan
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China
| | - Rui Zhang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China
| | - Hao Lyu
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China
| | - Shuai Xiao
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China
| | - Dong Guo
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China
| | - Qi Zhang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China
| | - Declan William Ali
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Marek Michalak
- Department of Biochemistry, University of Alberta, Edmonton, AB, Canada
| | - Xing-Zhen Chen
- Membrane Protein Disease Research Group, Department of Physiology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Cefan Zhou
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China.
| | - Jingfeng Tang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China.
| |
Collapse
|
2
|
Yang L, Tang L, Min Q, Tian H, Li L, Zhao Y, Wu X, Li M, Du F, Chen Y, Li W, Li X, Chen M, Gu L, Sun Y, Xiao Z, Shen J. Emerging role of RNA modification and long noncoding RNA interaction in cancer. Cancer Gene Ther 2024; 31:816-830. [PMID: 38351139 PMCID: PMC11192634 DOI: 10.1038/s41417-024-00734-2] [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: 07/11/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 02/16/2024]
Abstract
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.
Collapse
Affiliation(s)
- Liqiong Yang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Lu Tang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Qi Min
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Hua Tian
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Linwei Li
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Yueshui Zhao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Xu Wu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Mingxing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Fukuan Du
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Yu Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Wanping Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Xiaobing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Meijuan Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Li Gu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Yuhong Sun
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China
| | - Zhangang Xiao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China.
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China.
| | - Jing Shen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, 646000, China.
- South Sichuan Institute of Translational Medicine, Luzhou, 646000, China.
| |
Collapse
|
3
|
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.
Collapse
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
| |
Collapse
|
4
|
Roccuzzo G, Bongiovanni E, Tonella L, Pala V, Marchisio S, Ricci A, Senetta R, Bertero L, Ribero S, Berrino E, Marchiò C, Sapino A, Quaglino P, Cassoni P. Emerging prognostic biomarkers in advanced cutaneous melanoma: a literature update. Expert Rev Mol Diagn 2024; 24:49-66. [PMID: 38334382 DOI: 10.1080/14737159.2024.2314574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 02/01/2024] [Indexed: 02/10/2024]
Abstract
INTRODUCTION Over the past two years, the scientific community has witnessed an exponential growth in research focused on identifying prognostic biomarkers for melanoma, both in pre-clinical and clinical settings. This surge in studies reflects the need of developing effective prognostic indicators in the field of melanoma. AREAS COVERED The aim of this work is to review the scientific literature on the most recent findings on the development or validation of prognostic biomarkers in melanoma, in the attempt of providing both clinicians and researchers with an updated broad synopsis of prognostic biomarkers in cutaneous melanoma. EXPERT OPINION While the field of prognostic biomarkers in melanoma appears promising, there are several complexities and limitations to address. The interdependence of clinical, histological, and molecular features requires accurate classification of different biomarker families. Correlation does not imply causation, and adjustments for confounding factors are often overlooked. In this scenario, large-scale studies based on high-quality clinical trial data can provide more reliable evidence. It is essential to avoid oversimplification by focusing on a single biomarker, as the interactions among multiple factors contribute to define the disease course and patient's outcome. Furthermore, implementing well-supported evidence in real-life settings can help advance prognostic biomarker research in melanoma.
Collapse
Affiliation(s)
- Gabriele Roccuzzo
- Department of Medical Sciences, Section of Dermatology, University of Turin, Turin, Italy
| | - Eleonora Bongiovanni
- Department of Medical Sciences, Section of Dermatology, University of Turin, Turin, Italy
| | - Luca Tonella
- Department of Medical Sciences, Section of Dermatology, University of Turin, Turin, Italy
| | - Valentina Pala
- Department of Medical Sciences, Section of Dermatology, University of Turin, Turin, Italy
| | - Sara Marchisio
- Pathology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Alessia Ricci
- Pathology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Rebecca Senetta
- Pathology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Luca Bertero
- Pathology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simone Ribero
- Department of Medical Sciences, Section of Dermatology, University of Turin, Turin, Italy
| | - Enrico Berrino
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Caterina Marchiò
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Anna Sapino
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Pietro Quaglino
- Department of Medical Sciences, Section of Dermatology, University of Turin, Turin, Italy
| | - Paola Cassoni
- Pathology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| |
Collapse
|
5
|
Mo Y, Adu-Amankwaah J, Qin W, Gao T, Hou X, Fan M, Liao X, Jia L, Zhao J, Yuan J, Tan R. Unlocking the predictive potential of long non-coding RNAs: a machine learning approach for precise cancer patient prognosis. Ann Med 2023; 55:2279748. [PMID: 37983519 DOI: 10.1080/07853890.2023.2279748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 10/31/2023] [Indexed: 11/22/2023] Open
Abstract
The intricate web of cancer biology is governed by the active participation of long non-coding RNAs (lncRNAs), playing crucial roles in cancer cells' proliferation, migration, and drug resistance. Pioneering research driven by machine learning algorithms has unveiled the profound ability of specific combinations of lncRNAs to predict the prognosis of cancer patients. These findings highlight the transformative potential of lncRNAs as powerful therapeutic targets and prognostic markers. In this comprehensive review, we meticulously examined the landscape of lncRNAs in predicting the prognosis of the top five cancers and other malignancies, aiming to provide a compelling reference for future research endeavours. Leveraging the power of machine learning techniques, we explored the predictive capabilities of diverse lncRNA combinations, revealing their unprecedented potential to accurately determine patient outcomes.
Collapse
Affiliation(s)
- Yixuan Mo
- Department of Physiology, Basic medical school, Xuzhou Medical University, Xuzhou, China
| | - Joseph Adu-Amankwaah
- Department of Physiology, Basic medical school, Xuzhou Medical University, Xuzhou, China
| | - Wenjie Qin
- Department of Physiology, Basic medical school, Xuzhou Medical University, Xuzhou, China
- The Collaborative Innovation Center, Jining Medical University, Jining, Shandong, China
| | - Tan Gao
- The Collaborative Innovation Center, Jining Medical University, Jining, Shandong, China
| | - Xiaoqing Hou
- The Collaborative Innovation Center, Jining Medical University, Jining, Shandong, China
| | - Mengying Fan
- The Collaborative Innovation Center, Jining Medical University, Jining, Shandong, China
| | - Xuemei Liao
- The Collaborative Innovation Center, Jining Medical University, Jining, Shandong, China
| | - Liwei Jia
- Department of Pathology, UT Southwestern Medical Center, Dallas, UT, USA
| | - Jinming Zhao
- Department of Pathology, College of Basic Medical Sciences, China Medical University, Shenyang, China
- Department of Pathology, The First Hospital of China Medical University, Shenyang, China
| | - Jinxiang Yuan
- The Collaborative Innovation Center, Jining Medical University, Jining, Shandong, China
| | - Rubin Tan
- Department of Physiology, Basic medical school, Xuzhou Medical University, Xuzhou, China
| |
Collapse
|
6
|
Yu Y, Liang C, Wang X, Shi Y, Shen L. The potential role of RNA modification in skin diseases, as well as the recent advances in its detection methods and therapeutic agents. Biomed Pharmacother 2023; 167:115524. [PMID: 37722194 DOI: 10.1016/j.biopha.2023.115524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 09/12/2023] [Accepted: 09/14/2023] [Indexed: 09/20/2023] Open
Abstract
RNA modification is considered as an epigenetic modification that plays an indispensable role in biological processes such as gene expression and genome editing without altering nucleotide sequence, but the molecular mechanism of RNA modification has not been discussed systematically in the development of skin diseases. This article mainly presents the whole picture of theoretical achievements on the potential role of RNA modification in dermatology. Furthermore, this article summarizes the latest advances in clinical practice related with RNA modification, including its detection methods and drug development. Based on this comprehensive review, we aim to illustrate the current blind spots and future directions of RNA modification, which may provide new insights for researchers in this field.
Collapse
Affiliation(s)
- Yue Yu
- Department of Dermatology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China; Institute of Psoriasis, School of Medicine, Tongji University, Shanghai, China
| | - Chen Liang
- Department of Dermatology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xin Wang
- Department of Dermatology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China; Institute of Psoriasis, School of Medicine, Tongji University, Shanghai, China
| | - Yuling Shi
- Department of Dermatology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China; Institute of Psoriasis, School of Medicine, Tongji University, Shanghai, China.
| | - Liangliang Shen
- Department of Dermatology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
| |
Collapse
|
7
|
Leng S, Nie G, Yi C, Xu Y, Zhang L, Zhu L. Machine learning-derived identification of tumor-infiltrating immune cell-related signature for improving prognosis and immunotherapy responses in patients with skin cutaneous melanoma. Cancer Cell Int 2023; 23:214. [PMID: 37752452 PMCID: PMC10521465 DOI: 10.1186/s12935-023-03048-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/31/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Immunoblockade therapy based on the PD-1 checkpoint has greatly improved the survival rate of patients with skin cutaneous melanoma (SKCM). However, existing anti-PD-1 therapeutic efficacy prediction markers often exhibit a poor situation of poor reliability in identifying potential beneficiary patients in clinical applications, and an ideal biomarker for precision medicine is urgently needed. METHODS 10 multicenter cohorts including 4 SKCM cohorts and 6 immunotherapy cohorts were selected. Through the analysis of WGCNA, survival analysis, consensus clustering, we screened 36 prognostic genes. Then, ten machine learning algorithms were used to construct a machine learning-derived immune signature (MLDIS). Finally, the independent data sets (GSE22153, GSE54467, GSE59455, and in-house cohort) were used as the verification set, and the ROC index standard was used to evaluate the model. RESULTS Based on computing framework, we found that patients with high MLDIS had poor overall survival and has good prediction performance in all cohorts and in-house cohort. It is worth noting that MLDIS performs better in each data set than almost all models which from 51 prognostic signatures for SKCM. Meanwhile, high MLDIS have a positive prognostic impact on patients treated with anti-PD-1 immunotherapy by driving changes in the level of infiltration of immune cells in the tumor microenvironment. Additionally, patients suffering from SKCM with high MLDIS were more sensitive to immunotherapy. CONCLUSIONS Our study identified that MLDIS could provide new insights into the prognosis of SKCM and predict the immunotherapy response in patients with SKCM.
Collapse
Affiliation(s)
- Shaolong Leng
- Department of Dermatovenereology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China
| | - Gang Nie
- Department of Dermatovenereology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China
| | - Changhong Yi
- Department of Interventional Radiology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Yunsheng Xu
- Department of Dermatovenereology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China
| | - Lvya Zhang
- Department of Dermatovenereology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
| | - Linyu Zhu
- Department of Dermatovenereology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
| |
Collapse
|
8
|
Zhang X, Zhu WY, Shen SY, Shen JH, Chen XD. Biological roles of RNA m7G modification and its implications in cancer. Biol Direct 2023; 18:58. [PMID: 37710294 PMCID: PMC10500781 DOI: 10.1186/s13062-023-00414-5] [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: 08/04/2023] [Accepted: 09/07/2023] [Indexed: 09/16/2023] Open
Abstract
M7G modification, known as one of the common post-transcriptional modifications of RNA, is present in many different types of RNAs. With the accurate identification of m7G modifications within RNAs, their functional roles in the regulation of gene expression and different physiological functions have been revealed. In addition, there is growing evidence that m7G modifications are crucial in the emergence of cancer. Here, we review the most recent findings regarding the detection techniques, distribution, biological functions and Regulators of m7G. We also summarize the connections between m7G modifications and cancer development, drug resistance, and tumor microenvironment as well as we discuss the research's future directions and trends.
Collapse
Affiliation(s)
- Xin Zhang
- Department of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Wen-Yan Zhu
- Department of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Shu-Yi Shen
- Department of Dermatology, the First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jia-Hao Shen
- Department of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Xiao-Dong Chen
- Department of Dermatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
| |
Collapse
|
9
|
Chen L, Gao W, Lin L, Sha C, Li T, Chen Q, Wei H, Yang M, Xing J, Zhang M, Zhao S, Xu W, Li Y, Long L, Zhu X. A methylation- and immune-related lncRNA signature to predict ovarian cancer outcome and uncover mechanisms of chemoresistance. J Ovarian Res 2023; 16:186. [PMID: 37674251 PMCID: PMC10483746 DOI: 10.1186/s13048-023-01260-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 08/13/2023] [Indexed: 09/08/2023] Open
Abstract
Tumor-associated lncRNAs regulated by epigenetic modification switches mediate immune escape and chemoresistance in ovarian cancer (OC). However, the underlying mechanisms and concrete targets have not been systematically elucidated. Here, we discovered that methylation modifications played a significant role in regulating immune cell infiltration and sensitizing OC to chemotherapy by modulating immune-related lncRNAs (irlncRNAs), which represent tumor immune status. Through deep analysis of the TCGA database, a prognostic risk model incorporating four methylation-related lncRNAs (mrlncRNAs) and irlncRNAs was constructed. Twenty-one mrlncRNA/irlncRNA pairs were identified that were significantly related to the overall survival (OS) of OC patients. Subsequently, we selected four lncRNAs to construct a risk signature predictive of OS and indicative of OC immune infiltration, and verified the robustness of the risk signature in an internal validation set. The risk score was an independent prognostic factor for OC prognosis, which was demonstrated via multifactorial Cox regression analysis and nomogram. Moreover, risk scores were negatively related to the expression of CD274, CTLA4, ICOS, LAG3, PDCD1, and PDCD1LG2 and negatively correlated with CD8+, CD4+, and Treg tumor-infiltrating immune cells. In addition, a high-risk score was associated with a higher IC50 value for cisplatin, which was associated with a significantly worse clinical outcome. Next, a competing endogenous RNA (ceRNA) network and a signaling pathway controlling the infiltration of CD8+ T cells were explored based on the lncRNA model, which suggested a potential therapeutic target for immunotherapy. Overall, this study constructed a prognostic model by pairing mrlncRNAs and irlncRNAs and revealed the critical role of the FTO/RP5-991G20.1/hsa-miR-1976/MEIS1 signaling pathway in regulating immune function and enhancing anticancer therapy.
Collapse
Affiliation(s)
- Lu Chen
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
- Department of Gynaecology and Obstetrics, Taixing People's Hospital, Taixing, Jiangsu, China
| | - Wujiang Gao
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
- Department of Gynaecology and Obstetrics, Yangzhou First People's Hospital, Yangzhou, Jiangsu, China
| | - Li Lin
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
| | - Chunli Sha
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
- Department of Gynaecology and Obstetrics, The First People's Hospital of Nantong City, Nantong, Jiangsu, China
| | - Taoqiong Li
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
| | - Qi Chen
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
| | - Hong Wei
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
| | - Meiling Yang
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
- Department of Gynaecology and Obstetrics, The First People's Hospital of Nantong City, Nantong, Jiangsu, China
| | - Jie Xing
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
| | - Mengxue Zhang
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
| | - Shijie Zhao
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China
| | - Wenlin Xu
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China.
| | - Yuefeng Li
- Medical school, Jiangsu University, No. 301, Xuefu Road, Zhenjiang City, 212031, Jiangsu Province, China.
| | - Lulu Long
- Oncology Department, Affiliated People's Hospital of jiangsu university, No. 8, Dianli Road, Zhenjiang City, 212001, Jiangsu Province, China.
| | - Xiaolan Zhu
- Reproductive Medicine Center, The Fourth Affiliated Hospital of Jiangsu University, No. 20, Zhengdong Road, Zhenjiang City, 212001, Jiangsu Province, China.
| |
Collapse
|
10
|
Han WY, Wang J, Zhao J, Zheng YM, Chai XQ, Gao C, Cai JB, Ke AW, Fan J, Gao PT, Sun HX. WDR4/TRIM28 is a novel molecular target linked to lenvatinib resistance that helps retain the stem characteristics in hepatocellular carcinomas. Cancer Lett 2023:216259. [PMID: 37279851 DOI: 10.1016/j.canlet.2023.216259] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/08/2023]
Abstract
Hepatocellular carcinoma (HCC) is an aggressive malignancy with few effective treatment options. Lenvatinib is the first-line therapy for HCC but has only limited clinical benefit. Here, we explored the role and mechanism of the WD repeat domain 4 (WDR4) in lenvatinib resistance to improve clinical benefit. We found that lenvatinib-resistant HCC tissues/cells exhibited increased the N7-methylguanosine (m7G) modification and WDR4 expression. By a gain/loss of function experiment, we showed that WDR4 promoted HCC lenvatinib resistance and tumor progress both in vitro and in vivo. By proteomics analysis and RNA immunoprecipitation PCR, we found that tripartite motif protein 28 (trim28) was an important WDR4 target gene. WDR4 promoted TRIM28 expression, further affected target genes expression, and thus increased cell-acquired stemness and lenvatinib resistance. Clinical tissue data showed that TRIM28 expression was correlated with WDR4 levels, and the expression of both was positively correlated with poor prognosis. Our study provides new insight into the role of WDR4, suggesting a potential therapeutic target to enhance the lenvatinib sensitivity of HCC.
Collapse
Affiliation(s)
- Wei-Yu Han
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jie Wang
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jing Zhao
- Department of Pathology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Yi-Min Zheng
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Xiao-Qiang Chai
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Chao Gao
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jia-Bin Cai
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Ai-Wu Ke
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jia Fan
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of Education, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
| | - Ping-Ting Gao
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China; Endoscopy Center and Endoscopy Research Institute, Fudan University, Shanghai, China.
| | - Hai-Xiang Sun
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China.
| |
Collapse
|
11
|
Yang J, Xu J, Wang W, Zhang B, Yu X, Shi S. Epigenetic regulation in the tumor microenvironment: molecular mechanisms and therapeutic targets. Signal Transduct Target Ther 2023; 8:210. [PMID: 37217462 DOI: 10.1038/s41392-023-01480-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 04/17/2023] [Accepted: 04/28/2023] [Indexed: 05/24/2023] Open
Abstract
Over decades, researchers have focused on the epigenetic control of DNA-templated processes. Histone modification, DNA methylation, chromatin remodeling, RNA modification, and noncoding RNAs modulate many biological processes that are crucial to the development of cancers. Dysregulation of the epigenome drives aberrant transcriptional programs. A growing body of evidence suggests that the mechanisms of epigenetic modification are dysregulated in human cancers and might be excellent targets for tumor treatment. Epigenetics has also been shown to influence tumor immunogenicity and immune cells involved in antitumor responses. Thus, the development and application of epigenetic therapy and cancer immunotherapy and their combinations may have important implications for cancer treatment. Here, we present an up-to-date and thorough description of how epigenetic modifications in tumor cells influence immune cell responses in the tumor microenvironment (TME) and how epigenetics influence immune cells internally to modify the TME. Additionally, we highlight the therapeutic potential of targeting epigenetic regulators for cancer immunotherapy. Harnessing the complex interplay between epigenetics and cancer immunology to develop therapeutics that combine thereof is challenging but could yield significant benefits. The purpose of this review is to assist researchers in understanding how epigenetics impact immune responses in the TME, so that better cancer immunotherapies can be developed.
Collapse
Affiliation(s)
- Jing Yang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Pancreatic Cancer Institute, Shanghai, China.
- Pancreatic Cancer Institute, Fudan University, Shanghai, China.
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Pancreatic Cancer Institute, Shanghai, China.
- Pancreatic Cancer Institute, Fudan University, Shanghai, China.
| |
Collapse
|
12
|
Cui Z, Liang Z, Song B, Zhu Y, Chen G, Gu Y, Liang B, Ma J, Song B. Machine learning-based signature of necrosis-associated lncRNAs for prognostic and immunotherapy response prediction in cutaneous melanoma and tumor immune landscape characterization. Front Endocrinol (Lausanne) 2023; 14:1180732. [PMID: 37229449 PMCID: PMC10203625 DOI: 10.3389/fendo.2023.1180732] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/03/2023] [Indexed: 05/27/2023] Open
Abstract
Background Cutaneous melanoma (CM) is one of the malignant tumors with a relative high lethality. Necroptosis is a novel programmed cell death that participates in anti-tumor immunity and tumor prognosis. Necroptosis has been found to play an important role in tumors like CM. However, the necroptosis-associated lncRNAs' potential prognostic value in CM has not been identified. Methods The RNA sequencing data collected from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression Project (GTEx) was utilized to identify differentially expressed genes in CM. By using the univariate Cox regression analysis and machine learning LASSO algorithm, a prognostic risk model had been built depending on 5 necroptosis-associated lncRNAs and was verified by internal validation. The performance of this prognostic model was assessed by the receiver operating characteristic curves. A nomogram was constructed and verified by calibration. Furthermore, we also performed sub-group K-M analysis to explore the 5 lncRNAs' expression in different clinical stages. Function enrichment had been analyzed by GSEA and ssGSEA. In addition, qRT-PCR was performed to verify the five lncRNAs' expression level in CM cell line (A2058 and A375) and normal keratinocyte cell line (HaCaT). Results We constructed a prognostic model based on five necroptosis-associated lncRNAs (AC245041.1, LINC00665, AC018553.1, LINC01871, and AC107464.3) and divided patients into high-risk group and low-risk group depending on risk scores. A predictive nomogram had been built to be a prognostic indicator to clinical factors. Functional enrichment analysis showed that immune functions had more relationship and immune checkpoints were more activated in low-risk group than that in high-risk group. Thus, the low-risk group would have a more sensitive response to immunotherapy. Conclusion This risk score signature could be used to divide CM patients into low- and high-risk groups, and facilitate treatment strategy decision making that immunotherapy is more suitable for those in low-risk group, providing a new sight for CM prognostic evaluation.
Collapse
Affiliation(s)
- Zhiwei Cui
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Zhen Liang
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Binyu Song
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Yuhan Zhu
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Guo Chen
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Yanan Gu
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Baoyan Liang
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Jungang Ma
- Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China
| | - Baoqiang Song
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| |
Collapse
|
13
|
Nan X, Liu Y, Gao Y, Nan X. Multiple epigenetic modification profiles reveal the tumor immune microenvironment and clinical outcomes of uveal melanoma. Front Genet 2023; 14:1155199. [PMID: 37124608 PMCID: PMC10132731 DOI: 10.3389/fgene.2023.1155199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/16/2023] [Indexed: 05/02/2023] Open
Abstract
Uveal melanoma (UM) is an aggressive intraocular cancer that, in 50% of cases, spreads to the patient's other systems. The exact cause of the increased metastatic rate is still unknown. Methylation and immune response, metastasis, and the expansion of cancer cells are closely related. Additionally, proteins linked to RNA methylation have come to light as possible cancer treatment targets. However, the relationship between methylation-related genes (MRGs) and the tumor microenvironment (TME) is still not understood. The goal of this work was to discover important MRGs and create a signature for UM patients' prognosis prediction. Using two different data sets, we examined the MRG expression patterns in the transcriptional and genomic regions of 106 UM samples. We discovered a connection between the clinicopathological traits of the patients, their prognosis, the capability of TME cells to infiltrate, and various MRG changes. Following that, we developed an MRGs signature to forecast prognosis, and we evaluated the model's precision in patients with UM. We grouped the patients into multiple categories based on their clinical traits, looked at the survival rates for various groups within various groupings, and tested their accuracy. Additionally, to increase the practical usability of the MRGs model, we created a very accurate nomogram. TIDE scores were higher in the low-risk group. We go over how MGRs could impact UM's TME, immunotherapy responsiveness, prognosis, and clinically significant features. We looked for different chemotherapeutic drugs and cutting-edge targeted agents for patients in diverse subgroups in order to better understand MRGs in UM. This helped in the creation of customized therapy to open new doors. We could also further research the prognosis and develop more efficient immunotherapy regimens.
Collapse
Affiliation(s)
- Xinshuai Nan
- Department of Ophthalmology, Subei Peoples’ Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Yuchen Liu
- Department of Ophthalmology, Yangzhou Aier New Vision Eye Hospital, Yangzhou, China
| | - Yuzhen Gao
- Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xinshan Nan
- Department of ICU, Hua Xin Hospital, Ningbo, China
- *Correspondence: Xinshan Nan,
| |
Collapse
|
14
|
Grandt CL, Brackmann LK, Poplawski A, Schwarz H, Marini F, Hankeln T, Galetzka D, Zahnreich S, Mirsch J, Spix C, Blettner M, Schmidberger H, Marron M. Identification of lncRNAs involved in response to ionizing radiation in fibroblasts of long-term survivors of childhood cancer and cancer-free controls. Front Oncol 2023; 13:1158176. [PMID: 37182169 PMCID: PMC10174438 DOI: 10.3389/fonc.2023.1158176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/27/2023] [Indexed: 05/16/2023] Open
Abstract
Introduction Long non-coding ribonucleic acids (lncRNAs) are involved in the cellular damage response following exposure to ionizing radiation as applied in radiotherapy. However, the role of lncRNAs in radiation response concerning intrinsic susceptibility to late effects of radiation exposure has not been examined in general or in long-term survivors of childhood cancer with and without potentially radiotherapy-related second primary cancers, in particular. Methods Primary skin fibroblasts (n=52 each) of long-term childhood cancer survivors with a first primary cancer only (N1), at least one second primary neoplasm (N2+), as well as tumor-free controls (N0) from the KiKme case-control study were matched by sex, age, and additionally by year of diagnosis and entity of the first primary cancer. Fibroblasts were exposed to 0.05 and 2 Gray (Gy) X-rays. Differentially expressed lncRNAs were identified with and without interaction terms for donor group and dose. Weighted co-expression networks of lncRNA and mRNA were constructed using WGCNA. Resulting gene sets (modules) were correlated to the radiation doses and analyzed for biological function. Results After irradiation with 0.05Gy, few lncRNAs were differentially expressed (N0: AC004801.4; N1: PCCA-DT, AF129075.3, LINC00691, AL158206.1; N2+: LINC02315). In reaction to 2 Gy, the number of differentially expressed lncRNAs was higher (N0: 152, N1: 169, N2+: 146). After 2 Gy, AL109976.1 and AL158206.1 were prominently upregulated in all donor groups. The co-expression analysis identified two modules containing lncRNAs that were associated with 2 Gy (module1: 102 mRNAs and 4 lncRNAs: AL158206.1, AL109976.1, AC092171.5, TYMSOS, associated with p53-mediated reaction to DNA damage; module2: 390 mRNAs, 7 lncRNAs: AC004943.2, AC012073.1, AC026401.3, AC092718.4, MIR31HG, STXBP5-AS1, TMPO-AS1, associated with cell cycle regulation). Discussion For the first time, we identified the lncRNAs AL158206.1 and AL109976.1 as involved in the radiation response in primary fibroblasts by differential expression analysis. The co-expression analysis revealed a role of these lncRNAs in the DNA damage response and cell cycle regulation post-IR. These transcripts may be targets in cancer therapy against radiosensitivity, as well as provide grounds for the identification of at-risk patients for immediate adverse reactions in healthy tissues. With this work we deliver a broad basis and new leads for the examination of lncRNAs in the radiation response.
Collapse
Affiliation(s)
- Caine Lucas Grandt
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
- Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany
- *Correspondence: Caine Lucas Grandt,
| | - Lara Kim Brackmann
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Alicia Poplawski
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Heike Schwarz
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Federico Marini
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Thomas Hankeln
- Institute of Organismic and Molecular Evolution, Molecular Genetics and Genome Analysis, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Danuta Galetzka
- Department of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sebastian Zahnreich
- Department of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Johanna Mirsch
- Radiation Biology and DNA Repair, Technical University of Darmstadt, Darmstadt, Germany
| | - Claudia Spix
- Division of Childhood Cancer Epidemiology, German Childhood Cancer Registry, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maria Blettner
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Heinz Schmidberger
- Department of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Manuela Marron
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| |
Collapse
|
15
|
Yang C, Zhang L, Hao X, Tang M, Zhou B, Hou J. Identification of a Novel N7-Methylguanosine-Related LncRNA Signature Predicts the Prognosis of Hepatocellular Carcinoma and Experiment Verification. Curr Oncol 2022; 30:430-448. [PMID: 36661684 PMCID: PMC9857529 DOI: 10.3390/curroncol30010035] [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: 11/30/2022] [Revised: 12/24/2022] [Accepted: 12/26/2022] [Indexed: 12/30/2022] Open
Abstract
(1) Background: It is well-known that long non-coding RNAs (lncRNAs) and N7-methylguanosine (m7G) contribute to hepatocellular carcinoma (HCC) progression. However, it remains unclear whether lncRNAs regulating m7G modification could predict HCC prognosis. Thus, we sought to explore the prognostic implications of m7G-related lncRNAs in HCC patients. (2) Methods: Prognostic M7G-related lncRNAs obtained from The Cancer Genome Atlas (TCGA) database were screened by co-expression analysis and univariate Cox regression analysis. Next, the m7G-related lncRNA signature (m7GRLSig) was conducted by Least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analysis. Kaplan-Meier analysis and time-dependent receiver operating characteristics (ROC) assessed the prognostic abilities of our signature. Univariate and multivariate Cox regression, nomogram, and principal component analysis (PCA) were conducted to evaluate our signature. Subsequently, we investigated the role of m7GRLSig on the immune landscape and sensitivity to drugs in HCC patients. The potential function of lncRNAs obtained from the prognostic signature was explored by in vitro experiments. (3) Results: A novel m7GRLSig was identified using seven meaningful lncRNA (ZFPM2-AS1, AC092171.2, PIK3CD-AS2, NRAV, CASC19, HPN-AS1, AC022613.1). The m7GLPSig exhibited worse survival in the high-risk group and served as an independent prognostic factor. The m7GRLSig stratification was sensitive in assessing the immune landscape and sensitivity to drugs between the high-risk and low-risk groups. Finally, in vitro experiments confirmed that the knockdown of NRAV was accompanied by the downregulation of METTL1 during HCC progression. (4) Conclusions: The m7G-related signature is a potential predictor of HCC prognosis and contributes to individualize the effective drug treatment of HCC.
Collapse
Affiliation(s)
| | | | | | | | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| |
Collapse
|
16
|
Zhou W, Xu X, Cen Y, Chen J. The role of lncRNAs in the tumor microenvironment and immunotherapy of melanoma. Front Immunol 2022; 13:1085766. [PMID: 36601121 PMCID: PMC9806239 DOI: 10.3389/fimmu.2022.1085766] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
Melanoma is one of the most lethal tumors with highly aggressive and metastatic properties. Although immunotherapy and targeted therapy have certain therapeutic effects in melanoma, a significant proportion of patients still have drug resistance after treatment. Recent studies have shown that long noncoding RNAs (lncRNAs) are widely recognized as regulatory factors in cancer. They can regulate numerous cellular processes, including cell proliferation, metastasis, epithelial-mesenchymal transition (EMT) progression and the immune microenvironment. The role of lncRNAs in malignant tumors has received much attention, whereas the relationship between lncRNAs and melanoma requires further investigation. Our review summarizes tumor suppressive and oncogenic lncRNAs closely related to the occurrence and development of melanoma. We summarize the role of lncRNAs in the immune microenvironment, immunotherapy and targeted therapy to provide new targets and therapeutic methods for clinical treatment.
Collapse
|
17
|
Deng J, Lin J, Liu C, Li J, Cai J, Zhou X, Li X. N7-methylguanosine methylation-related regulator genes as biological markers in predicting prognosis for melanoma. Sci Rep 2022; 12:21082. [PMID: 36473947 PMCID: PMC9726938 DOI: 10.1038/s41598-022-25698-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
The aim of this study is to find those N7-methylguanosine (m7G) methylation-related regulator genes (m7GMRRGs) which were associated with melanoma prognosis and use them to develop a prognostic prediction model. Clinical information was retrieved online from The Cancer Gene Atlas (TCGA) and the Gene Expression Omnibus (GEO). R software was used to extract m7GMRRGs by differential expression analysis. To create a prognostic risk model, univariate and multivariate Cox regression analyses were employed for the evaluation of the prognostic significance of m7G methylation modifiers. Internal validation using cohort from TCGA (training set) and external validation using cohort from GEO (validation set) of the model were carried out. The model's predictive performance was confirmed by using the Kaplan-Meier, univariate, and multivariate Cox regression, and receiver operating characteristic curve (ROC) by constructing column line plots incorporating clinical factor characteristics. Immune infiltration analyses were performed to assess the immune function of m7GMRRGs. Drug sensitivity analysis was conducted to study chemotherapeutic drug treatment cues. Prognostic models using four m7GMRRGs (EIF4E3, LARP1, NCBP3, and IFIT5) showed good prognostic power in training and validation sets. The area under the curve (AUC) at 1, 3, and 5 years for GEO-melanoma were 0.689, 0.704, and 0.726, respectively. The prediction model could distinctly classify patients with melanoma into different risk subgroups (P < 0.001 for TCGA-melanoma and P < 0.05 for GEO-melanoma). Clinical characteristics were taken into account in Cox regression and AUC analysis, which highlighted that the risk score served as an independent risk factor determining the prognosis of patients with melanoma. Immuno-infiltration analysis showed that m7GMRRGs could potentially regulate CD8+ T cells as well as regulatory T cells (Treg cells). Results of our study indicate a association between m7GMRRGs and melanoma prognosis, and the prognostic prediction model using m7GMRRGs may predict the prognosis of patients with melanoma well. Nevertheless, these results may provide a clue for potential better options of melanoma treatment but need further validation in futural studies.
Collapse
Affiliation(s)
- Jiehua Deng
- grid.443385.d0000 0004 1798 9548Department of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, No. 212 Renmin Road, Lingui District, Guilin, 541199 Guangxi Zhuang Autonomous Region China
| | - Jiahua Lin
- grid.488137.10000 0001 2267 2324College of Otolaryngology Head and Neck Surgery, Chinese PLA General Hospital, Chinese PLA Medical School, 28 Fuxing Road, Beijing, 100853 China ,Department of Neurosurgery, The 924th Hospital of the Chinese People’s Liberation Army Joint Logistic Support Force, Guilin, 541002 Guangxi Zhuang Autonomous Region China
| | - Chang Liu
- grid.443385.d0000 0004 1798 9548Department of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, No. 212 Renmin Road, Lingui District, Guilin, 541199 Guangxi Zhuang Autonomous Region China
| | - Jiasong Li
- grid.443385.d0000 0004 1798 9548Department of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, No. 212 Renmin Road, Lingui District, Guilin, 541199 Guangxi Zhuang Autonomous Region China
| | - Jun Cai
- grid.443385.d0000 0004 1798 9548Department of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, No. 212 Renmin Road, Lingui District, Guilin, 541199 Guangxi Zhuang Autonomous Region China
| | - Xiyu Zhou
- grid.443385.d0000 0004 1798 9548Department of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, No. 212 Renmin Road, Lingui District, Guilin, 541199 Guangxi Zhuang Autonomous Region China
| | - Xiong Li
- grid.443385.d0000 0004 1798 9548Department of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, No. 212 Renmin Road, Lingui District, Guilin, 541199 Guangxi Zhuang Autonomous Region China
| |
Collapse
|
18
|
Wang D, Mo Y, Zhang D, Bai Y. Analysis of m 7G methylation modification patterns and pulmonary vascular immune microenvironment in pulmonary arterial hypertension. Front Immunol 2022; 13:1014509. [PMID: 36544768 PMCID: PMC9762157 DOI: 10.3389/fimmu.2022.1014509] [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: 08/08/2022] [Accepted: 11/09/2022] [Indexed: 12/12/2022] Open
Abstract
Background M7G methylation modification plays an important role in cardiovascular disease development. Dysregulation of the immune microenvironment is closely related to the pathogenesis of PAH. However, it is unclear whether m7G methylation is involved in the progress of PAH by affecting the immune microenvironment. Methods The gene expression profile of PAH was obtained from the GEO database, and the m7G regulatory factors were analyzed for differences. Machine learning algorithms were used to screen characteristic genes, including the least absolute shrinkage and selection operator, random forest, and support vector machine recursive feature elimination analysis. Constructed a nomogram model, and receiver operating characteristic was used to evaluate the diagnosis of disease characteristic genes value. Next, we used an unsupervised clustering method to perform consistent clustering analysis on m7G differential genes. Used the ssGSEA algorithm to estimate the relationship between the m7G regulator in PAH and immune cell infiltration and analyze the correlation with disease-characteristic genes. Finally, the listed drugs were evaluated through the screened signature genes. Results We identified 15 kinds of m7G differential genes. CYFIP1, EIF4E, and IFIT5 were identified as signature genes by the machine learning algorithm. Meanwhile, two m7G molecular subtypes were identified by consensus clustering (cluster A/B). In addition, immune cell infiltration analysis showed that activated CD4 T cells, regulatory T cells, and type 2 T helper cells were upregulated in m7G cluster B, CD56 dim natural killer cells, MDSC, and monocyte were upregulated in the m7G cluster A. It might be helpful to select Calpain inhibitor I and Everolimus for the treatment of PAH. Conclusion Our study identified CYFIP1, EIF4E, and IFIT5 as novel diagnostic biomarkers in PAH. Furthermore, their association with immune cell infiltration may facilitate the development of immune therapy in PAH.
Collapse
Affiliation(s)
- Desheng Wang
- Department of Clinical Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning, China
| | - Yanfei Mo
- Department of Clinical Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning, China
| | - Dongfang Zhang
- Department of Pharmacognosy, School of Pharmacy, China Medical University, Shenyang, Liaoning, China,*Correspondence: Yang Bai, ; Dongfang Zhang,
| | - Yang Bai
- Department of Clinical Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning, China,*Correspondence: Yang Bai, ; Dongfang Zhang,
| |
Collapse
|
19
|
Wang X, Dong W, Zhang Y, Huo F. m7G-related lncRNAs are potential biomarkers for predicting prognosis and immune responses in patients with oral squamous cell carcinoma. Front Genet 2022; 13:1013312. [DOI: 10.3389/fgene.2022.1013312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 11/24/2022] [Indexed: 12/04/2022] Open
Abstract
Among head and neck cancers, oral squamous cell carcinoma (OSCC) is the most common malignant tumor. N-7-methylguanosine (m7G) and lncRNAs are both related to the development and progression of tumors. Therefore, this study aims to explore and establish the prognostic signal of OSCC based on m7G-related lncRNAs. In this study, RNA sequencing transcriptome data of OSCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Therefore, m7G-related lncRNAs were identified as differentially expressed in OSCC. Then, univariate Cox regression analysis and LASSO regression analysis were conducted to evaluate the prognostic significance of differentially expressed lncRNAs. Consequently, the abovementioned lncRNAs were assigned five OSCC patient risk scores, with high-risk and low-risk patients assigned to each group. Different signaling pathways were significantly enriched between the two groups as determined by set enrichment analysis (GSEA). Multivariate Cox regression analysis confirmed the factors used to construct the nomogram model. Then, the prognosis of the nomogram model was evaluated. Consequently, high-risk individuals had higher immune infiltration levels. According to the results of a study that evaluated the sensitivity of different risk subgroups to antitumour drugs, the high-risk group had a high sensitivity to doxorubicin. By performing real-time polymerase chain reaction (RT‒PCR), we verified the expression of these five m7G lncRNAs. Therefore, the model based on five m7G-related lncRNAs was able to predict the overall survival rates of OSCC patients and guide their treatment. It can also spur new ideas about how to prevent and treat OSCC.
Collapse
|
20
|
Guo P, Wang P, Liu L, Wang P, Qu Z, Yu Z, Liu N. A novel
N7
‐methylguanosine‐related long noncoding
RNAs
signature for predicting prognosis and immune microenvironment in gastric cancer patients. PRECISION MEDICAL SCIENCES 2022. [DOI: 10.1002/prm2.12087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Peisen Guo
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
| | - Panpan Wang
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
| | - Limin Liu
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
| | - Peixi Wang
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
| | - Zhi Qu
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
| | - Zengli Yu
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
| | - Nan Liu
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
- Institute of Environment and Health, South China Hospital, Health Science Center Shenzhen University Shenzhen People's Republic of China
| |
Collapse
|