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Arefnezhad R, Ashna S, Rezaei-Tazangi F, Arfazadeh SM, Seyedsalehie SS, Yeganeafrouz S, Aghaei M, Sanandaji M, Davoodi R, Abadi SRK, Vosough M. Noncoding RNAs and programmed cell death in hepatocellular carcinoma: Significant role of epigenetic modifications in prognosis, chemoresistance, and tumor recurrence rate. Cell Biol Int 2024; 48:556-576. [PMID: 38411312 DOI: 10.1002/cbin.12145] [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: 05/30/2023] [Revised: 01/26/2024] [Accepted: 02/09/2024] [Indexed: 02/28/2024]
Abstract
Hepatocellular carcinoma (HCC) is the most common type of liver cancer with a high death rate in the world. The molecular mechanisms related to the pathogenesis of HCC have not been precisely defined so far. Hence, this review aimed to address the potential cross-talk between noncoding RNAs (ncRNAs) and programmed cell death in HCC. All related papers in the English language up to June 2023 were collected and screened. The searched keywords in scientific databases, including Scopus, PubMed, and Google Scholar, were HCC, ncRNAs, Epigenetic, Programmed cell death, Autophagy, Apoptosis, Ferroptosis, Chemoresistance, Tumor recurrence, Prognosis, and Prediction. According to the reports, ncRNAs, comprising long ncRNAs, microRNAs, circular RNAs, and small nucleolar RNAs can affect cell proliferation, migration, invasion, and metastasis, as well as cell death-related processes, such as autophagy, ferroptosis, necroptosis, and apoptosis in HCC by regulating cancer-associated genes and signaling pathways, for example, phosphoinositide 3-kinase/Akt, extracellular signal-regulated kinase/MAPK, and Wnt/β-catenin signaling pathways. It seems that ncRNAs, as epigenetic regulators, can be utilized as biomarkers in diagnosis, prognosis, survival and recurrence rates prediction, chemoresistance, and evaluation of therapeutic response in HCC patients. However, more scientific evidence is suggested to be accomplished to confirm these results.
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Affiliation(s)
- Reza Arefnezhad
- Coenzyme R Research Institute, Tehran, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sara Ashna
- Student Research Committee, Islamic Azad University Science and Research Branch, Tehran, Iran
| | - Fatemeh Rezaei-Tazangi
- Department of Anatomy, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | | | - Seyede Shabnam Seyedsalehie
- Department of Pediatrics, Faculty of Medicine, Ahvaz Jundishapur, University of Medical Sciences, Ahvaz, Iran
| | - Shaghayegh Yeganeafrouz
- Department of Medical Science, Faculty of Medicine, Islamic Azad University, Medical branch, Tehran, Iran
| | - Melika Aghaei
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Mandana Sanandaji
- Department of Physical Education and Sport Sciences, Tehran University, Tehran, Iran
| | | | | | - Massoud Vosough
- Department of Regenerative Medicine, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
- Institution for Laboratory Medicine, Karolinska Institutet, Experimental Cancer Medicine, Huddinge, Sweden
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Pathak S, Banerjee A. RNA-based Therapies for Aging and Cancer, What Known so Far? Curr Aging Sci 2024; 17:3-4. [PMID: 38757693 DOI: 10.2174/187460981701240229094013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Affiliation(s)
- Surajit Pathak
- Faculty of Allied Health Sciences, Chettinad Academy of Research and Education (CARE), Chettinad Hospital and Research Institute (CHRI), Chennai, India
| | - Antara Banerjee
- Faculty of Allied Health Sciences, Chettinad Academy of Research and Education (CARE), Chettinad Hospital and Research Institute (CHRI), Chennai, India
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Sun X, Wang G, Luo W, Gu H, Ma W, Wei X, Liu D, Jia S, Cao S, Wang Y, Yuan Z. Small but strong: the emerging role of small nucleolar RNA in cardiovascular diseases. Front Cell Dev Biol 2023; 11:1292925. [PMID: 38033868 PMCID: PMC10682241 DOI: 10.3389/fcell.2023.1292925] [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: 09/12/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Cardiovascular diseases (CVDs) are the leading cause of mortality and disability worldwide. Numerous studies have demonstrated that non-coding RNAs (ncRNAs) play a primary role in CVD development. Therefore, studies on the mechanisms of ncRNAs are essential for further efforts to prevent and treat CVDs. Small nucleolar RNAs (snoRNAs) are a novel species of non-conventional ncRNAs that guide post-transcriptional modifications and the subsequent maturation of small nuclear RNA and ribosomal RNA. Evidently, snoRNAs are extensively expressed in human tissues and may regulate different illnesses. Particularly, as the next-generation sequencing techniques have progressed, snoRNAs have been shown to be differentially expressed in CVDs, suggesting that they may play a role in the occurrence and progression of cardiac illnesses. However, the molecular processes and signaling pathways underlying the function of snoRNAs remain unidentified. Therefore, it is of great value to comprehensively investigate the association between snoRNAs and CVDs. The aim of this review was to collate existing literature on the biogenesis, characteristics, and potential regulatory mechanisms of snoRNAs. In particular, we present a scientific update on these snoRNAs and their relevance to CVDs in an effort to cast new light on the functions of snoRNAs in the clinical diagnosis of CVDs.
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Affiliation(s)
- Xue Sun
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Gebang Wang
- Department of Thoracic Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of Dalian University of Technology, Shenyang, Liaoning, China
| | - Wenting Luo
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Hui Gu
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Wei Ma
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xiaowei Wei
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Dan Liu
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Shanshan Jia
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Songying Cao
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yu Wang
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Zhengwei Yuan
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Xu R, Wang L, Hou J, Wang X, Wang Y, Wang K. Knowledge mapping and current trends of global research on snoRNA in the field of cancer. J Cancer 2023; 14:2596-2607. [PMID: 37779878 PMCID: PMC10539387 DOI: 10.7150/jca.87196] [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: 06/15/2023] [Accepted: 07/31/2023] [Indexed: 10/03/2023] Open
Abstract
Cancer is a major health hazard for humans. Recent studies have indicated the involvement of small nucleolar RNAs (snoRNAs) in the occurrence and development of cancer and indicated its potential role as a diagnostic/prognostic marker and therapeutic target. The purpose of this study was to use the bibliometrics method to analyze the published literature on this subject. We collected articles pertaining to the field of snoRNA and cancer from the Web of Science Core Collection database. The data were analyzed to identify the research hotspots and frontiers. The number of articles in this field was low in the early period. Chu Liang and Montanaro Lorenzo were the most prolific authors on this subject, while Jiang and Feng were the most frequently cited authors. In China, three institutions published the most articles, namely Wuhan Univ, China Med Univ, and Guangxi Med Univ. The journal with the highest number of articles on this subject was Oncotarget. The country with the most published articles was China. Analysis of keywords and burst words indicated that early studies mainly focused on molecular mechanisms. Available evidence suggests the involvement of snoRNAs in the molecular mechanism of cancer development and their potential role as a diagnostic and prognostic biomarker.
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Affiliation(s)
- Runsen Xu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Lina Wang
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Junhui Hou
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Xia Wang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Yibing Wang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Kefeng Wang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China
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Sun Z, Huang Q, Yang Y, Li S, Lv H, Zhang Y, Lin H, Ning L. PSnoD: identifying potential snoRNA-disease associations based on bounded nuclear norm regularization. Brief Bioinform 2022; 23:6640008. [PMID: 35817303 DOI: 10.1093/bib/bbac240] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 05/16/2022] [Accepted: 05/24/2022] [Indexed: 12/19/2022] Open
Abstract
Many studies have proved that small nucleolar RNAs (snoRNAs) play critical roles in the development of various human complex diseases. Discovering the associations between snoRNAs and diseases is an important step toward understanding the pathogenesis and characteristics of diseases. However, uncovering associations via traditional experimental approaches is costly and time-consuming. This study proposed a bounded nuclear norm regularization-based method, called PSnoD, to predict snoRNA-disease associations. Benchmark experiments showed that compared with the state-of-the-art methods, PSnoD achieved a superior performance in the 5-fold stratified shuffle split. PSnoD produced a robust performance with an area under receiver-operating characteristic of 0.90 and an area under precision-recall of 0.55, highlighting the effectiveness of our proposed method. In addition, the computational efficiency of PSnoD was also demonstrated by comparison with other matrix completion techniques. More importantly, the case study further elucidated the ability of PSnoD to screen potential snoRNA-disease associations. The code of PSnoD has been uploaded to https://github.com/linDing-groups/PSnoD. Based on PSnoD, we established a web server that is freely accessed via http://psnod.lin-group.cn/.
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Affiliation(s)
- Zijie Sun
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.,School of Healthcare Technology, Chengdu Neusoft University, Chengdu 611844, China
| | - Qinlai Huang
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.,School of Healthcare Technology, Chengdu Neusoft University, Chengdu 611844, China
| | - Yuhe Yang
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Shihao Li
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Hao Lv
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Yang Zhang
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Hao Lin
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Lin Ning
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu 611844, China
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