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Silva JMC, Teixeira EB, Mourão RMDS, Ferraz RS, Moreira FC, de Assumpção PP, Calcagno DQ. The landscape of lncRNAs in gastric cancer: from molecular mechanisms to potential clinical applications. Front Pharmacol 2023; 14:1237723. [PMID: 37670949 PMCID: PMC10476871 DOI: 10.3389/fphar.2023.1237723] [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: 06/09/2023] [Accepted: 08/04/2023] [Indexed: 09/07/2023] Open
Abstract
Gastric cancer (GC) is a highly prevalent and deadly malignant neoplasm worldwide. Currently, long non-coding RNAs (lncRNAs) have recently been identified as crucial regulators implicated in GC development and progression. Dysregulated expression of lncRNAs is commonly associated with enhanced tumor migration, invasiveness, and therapy resistance, highlighting their potential as promising targets for clinical applications. This review offers a comprehensive historical overview of lncRNAs in GC, describes the molecular mechanisms, and discusses the prospects and challenges of establishing lncRNAs as precision biomarkers.
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Affiliation(s)
| | | | | | - Rafaella Sousa Ferraz
- Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belem, Pará, Brazil
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Liang XR, Liu YF, Chen F, Zhou ZX, Zhang LJ, Lin ZJ. Cell Cycle-Related lncRNAs as Innovative Targets to Advance Cancer Management. Cancer Manag Res 2023; 15:547-561. [PMID: 37426392 PMCID: PMC10327678 DOI: 10.2147/cmar.s407371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/13/2023] [Indexed: 07/11/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are non-coding RNAs (ncRNAs) longer than 200nt. They have complex biological functions and take part in multiple fundamental biological processes, such as cell proliferation, differentiation, survival and apoptosis. Recent studies suggest that lncRNAs modulate critical regulatory proteins involved in cancer cell cycle, such as cyclin, cell cycle protein-dependent kinases (CDK) and cell cycle protein-dependent kinase inhibitors (CKI) through different mechanisms. To clarify the role of lncRNAs in the regulation of cell cycle will provide new ideas for design of antitumor therapies which intervene with the cell cycle progression. In this paper, we review the recent studies about the controlling of lncRNAs on cell cycle related proteins such as cyclin, CDK and CKI in different cancers. We further outline the different mechanisms involved in this regulation and describe the emerging role of cell cycle-related lncRNAs in cancer diagnosis and therapy.
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Affiliation(s)
- Xiao-Ru Liang
- Key Laboratory of Immune Microenvironment and Inflammatory Disease Research in Universities of Shandong Province, School of Basic Medical Sciences, Weifang Medical University, Weifang, People’s Republic of China
| | - Yan-Fei Liu
- Key Laboratory of Immune Microenvironment and Inflammatory Disease Research in Universities of Shandong Province, School of Basic Medical Sciences, Weifang Medical University, Weifang, People’s Republic of China
| | - Feng Chen
- Department of General Surgery, Weifang Traditional Chinese Hospital, Weifang, Shandong, People’s Republic of China
| | - Zhi-Xia Zhou
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, People’s Republic of China
| | - Li-Jie Zhang
- Key Laboratory of Immune Microenvironment and Inflammatory Disease Research in Universities of Shandong Province, School of Basic Medical Sciences, Weifang Medical University, Weifang, People’s Republic of China
| | - Zhi-Juan Lin
- Key Laboratory of Immune Microenvironment and Inflammatory Disease Research in Universities of Shandong Province, School of Basic Medical Sciences, Weifang Medical University, Weifang, People’s Republic of China
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Hosseini SA, Haddadi MH, Fathizadeh H, Nemati F, Aznaveh HM, Taraj F, Aghabozorgizadeh A, Gandomkar G, Bazazzadeh E. Long non-coding RNAs and gastric cancer: An update of potential biomarkers and therapeutic applications. Biomed Pharmacother 2023; 163:114407. [PMID: 37100014 DOI: 10.1016/j.biopha.2023.114407] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/12/2023] [Accepted: 02/15/2023] [Indexed: 04/28/2023] Open
Abstract
The frequent metastasis of gastric cancer (GC) complicates the cure and therefore the development of effective diagnostic and therapeutic approaches is urgently necessary. In recent years, lncRNA has emerged as a drug target in the treatment of GC, particularly in the areas of cancer immunity, cancer metabolism, and cancer metastasis. This has led to the demonstration of the importance of these RNAs as prognostic, diagnostic and therapeutic agents. In this review, we provide an overview of the biological activities of lncRNAs in GC development and update the latest pathological activities, prognostic and diagnostic strategies, and therapeutic options for GC-related lncRNAs.
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Affiliation(s)
- Sayedeh Azimeh Hosseini
- Department of Medical Biotechnology, School of Advanced Technology, Shahrekord University of Medical Sciences, Shahrekord, Iran; Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran; USERN office, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | | | - Hadis Fathizadeh
- Student Research Committee, Sirjan School of Medical Sciences, Sirjan, Iran; Department of Laboratory sciences, Sirjan School of Medical Sciences, Sirjan, Iran
| | - Foroogh Nemati
- Department of Microbiology, Kashan University of Medical Sciences, Kashan, Iran
| | - Hooman Mahmoudi Aznaveh
- Department of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, P.O. Box: 14115-154, Tehran, Iran
| | - Farima Taraj
- Department of Animal Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Isfahan, Iran
| | - AmirArsalan Aghabozorgizadeh
- Department of Cell and Molecular Biology and Microbiology, Faculty of Science and Technology, University of Isfahan, Isfahan, Iran
| | - Golmaryam Gandomkar
- Department of Animal Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Isfahan, Iran
| | - Elaheh Bazazzadeh
- Department of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, P.O. Box: 14115-154, Tehran, Iran
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Jiang M, Fang C, Ma Y. Prognosis Risk Model Based on Pyroptosis-Related lncRNAs for Gastric Cancer. Biomolecules 2023; 13:biom13030469. [PMID: 36979404 PMCID: PMC10046686 DOI: 10.3390/biom13030469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/29/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023] Open
Abstract
Gastric cancer (GC) is a malignant tumor with a low survival rate, high recurrence rate, and poor prognosis. With respect to this, pyroptosis is a type of programmed cell death that can affect the occurrence and development of tumors. Indeed, long non-coding RNAs (lncRNAs) were broadly applied for the purposes of early diagnosis, treatment, and prognostic analysis in regard to cancer. Based on the association of these three purposes, we developed a novel prognosis risk model based on pyroptosis-related lncRNAs (PRlncRNAs) for GC. The PRlncRNAs were obtained via univariate and multivariate Cox regression in order to build the predictive signatures. The Kaplan–Meier and gene set enrichment analysis (GSEA) methods were used to evaluate the overall survival (OS) and functional differences between the high- and low-risk groups. Moreover, the correlation of the signatures with immune cell infiltration was determined through single-sample gene set enrichment analysis (ssGSEA). Finally, we analyzed this correlation with the treatment responses in the GC patients; then, we performed quantitative reverse transcription polymerase chain reactions (qRT-PCRs) in order to verify the risk model. The high-risk group received a worse performance in terms of prognosis and OS when compared to the low-risk group. With respect to this, the area under the receiver operating characteristic curve (ROC) was found to be 0.808. Through conducting the GSEA, it was found that the high-risk groups possessed a significant enrichment in terms of tumor–immunity pathways. Furthermore, the ssGSEA revealed that the predictive features possessed strong associations with immune cell infiltration in regard to GC. In addition, we highlighted that anti-immune checkpoint therapy, combined with conventional chemotherapy drugs, may be more suitable for high-risk patients. The expression levels of LINC01315, AP003392.1, AP000695.2, and HAGLR were significantly different between the GC cell lines and the normal cell lines. As such, the six PRlncRNAs could be regarded as important prognostic biomarkers for the purposes of subsequent diagnoses, treatments, prognostic predictions, and the mechanism research of GC.
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Li J, Zhang Y, Xu Q, Zhang Y, Bei S, Ding Y, Zhang X, Feng L. Diagnostic value of circulating lncRNAs for gastric cancer: A systematic review and meta-analysis. Front Oncol 2022; 12:1058028. [PMID: 36561519 PMCID: PMC9763557 DOI: 10.3389/fonc.2022.1058028] [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: 09/30/2022] [Accepted: 11/08/2022] [Indexed: 12/12/2022] Open
Abstract
Objective With the prevalence of next-generation sequencing (NGS) technology, a large number of long non-coding RNAs (lncRNAs) have attracted tremendous attention and have been the topic of extensive research on gastric cancer (GC). It was revealed that lncRNAs not only participate in the transduction of various signaling pathways, thus influencing GC genesis and development, but also have the potential for GC diagnosis. Therefore, we aimed to conduct a meta-analysis of previous studies on GC. Materials and methods An electronic search was made before August 2021 on databases including PubMed, Embase, and Web of Science. Relevant articles that compare lncRNA expression in GC patients and healthy controls were summarized. We conducted a meta-analysis with the objective of evaluating the ability of lncRNAs in diagnosing GC. Results A total of 40 original research studies including 6,772 participants were discussed in this meta-analysis. The overall sensitivity, specificity, and the area under the curve (AUC) were 0.78 (95% CI: 0.75-0.81), 0.79 (95% CI: 0.74-0.83), and 0.85 (95% CI: 0.81-0.87), respectively. The value of pooled diagnostic odds ratios (DORs) was 13.00 (95% CI: 10.00-17.00). Conclusions This meta-analysis revealed that serum or plasma lncRNAs have high sensitivity and specificity, which makes lncRNAs clinically feasible in diagnosing GC. The results from this meta-analysis demonstrated that peripheral blood lncRNAs may become novel noninvasive biomarkers in the foreseeable future. At the same time, it should be noted that a greater number of blood samples and more evidence from rigorous multicenter clinical studies are necessary to justify their applicability as cancer biomarkers.
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Affiliation(s)
| | | | | | | | | | | | | | - Li Feng
- *Correspondence: Xiaohong Zhang, ; Li Feng,
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Function of the Long Noncoding RNAs in Hepatocellular Carcinoma: Classification, Molecular Mechanisms, and Significant Therapeutic Potentials. Bioengineering (Basel) 2022; 9:bioengineering9080406. [PMID: 36004931 PMCID: PMC9405066 DOI: 10.3390/bioengineering9080406] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 12/24/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common and serious type of primary liver cancer. HCC patients have a high death rate and poor prognosis due to the lack of clear signs and inadequate treatment interventions. However, the molecular pathways that underpin HCC pathogenesis remain unclear. Long non-coding RNAs (lncRNAs), a new type of RNAs, have been found to play important roles in HCC. LncRNAs have the ability to influence gene expression and protein activity. Dysregulation of lncRNAs has been linked to a growing number of liver disorders, including HCC. As a result, improved understanding of lncRNAs could lead to new insights into HCC etiology, as well as new approaches for the early detection and treatment of HCC. The latest results with respect to the role of lncRNAs in controlling multiple pathways of HCC were summarized in this study. The processes by which lncRNAs influence HCC advancement by interacting with chromatin, RNAs, and proteins at the epigenetic, transcriptional, and post-transcriptional levels were examined. This critical review also highlights recent breakthroughs in lncRNA signaling pathways in HCC progression, shedding light on the potential applications of lncRNAs for HCC diagnosis and therapy.
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Shi D, Zhong W, Liu D, Sun X, Hao S, Yang Y, Ao L, Zhou J, Xia Y, Zhou Y, Yu H, Xia H. Computational identification of immune-related lncRNA signature for predicting the prognosis and immune landscape of human glioblastoma multiforme. Front Immunol 2022; 13:932938. [PMID: 36032137 PMCID: PMC9412749 DOI: 10.3389/fimmu.2022.932938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Emerging evidence shows immune-related long noncoding RNAs (ir-lncRNAs) perform critical roles in tumor progression and prognosis assessment. However, the identification of ir-lncRNAs and their clinical significance in human glioblastoma multiforme (GBM) remain largely unexplored. Here, a designed computational frame based on immune score was used to identify differentially expressed ir-lncRNAs (DEir-lncRNAs) from The Cancer Genome Atlas (TCGA) GBM program. The immune-related lncRNA signature (IRLncSig) composed of prognosis-related DEir-lncRNAs selected by Cox regression analysis and its clinical predictive values were verified, which was further validated by another dataset from the Gene Expression Omnibus database (GEO). Subsequently, the association between IRLncSig and immune cell infiltration, immune checkpoint inhibitor (ICI) biomarkers, O6-methylguanine-DNA methyltransferase (MGMT) gene expression, and biological function were also analyzed. After calculation, five prognosis-related ir-lncRNAs were included in the establishment of IRLncSig. The risk assessment based on IRLncSig indicated that the high-IRLncSig-score group was significantly associated with poor prognosis (p < 0.001), significant aggregation of macrophages (p < 0.05), higher ICI biomarker expression, and MGMT gene expression (p < 0.05). Signature-related lncRNAs may be involved in immune activities in the tumorigenesis and progression of GBM. In summary, the novel IRLncSig shows a promising clinical value in predicting the prognosis and immune landscape of GBM.
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Affiliation(s)
- Dongjie Shi
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenjie Zhong
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dan Liu
- Department of Pharmacy, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, China
| | - Xiaochuan Sun
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shilei Hao
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Yaying Yang
- Department of Pathology, Molecular Medicine and Tumor Center, Chongqing Medical University, Chongqing, China
| | - Lei Ao
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Junjie Zhou
- Department of Pathology, Molecular Medicine and Tumor Center, Chongqing Medical University, Chongqing, China
| | - Yongzhi Xia
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yudong Zhou
- Department of Neurosurgery, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Yu
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haijian Xia
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Haijian Xia,
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