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Gugnoni M, Lorenzini E, Torricelli F, Donati B, Manicardi V, Vitale E, Muccioli S, Piana S, Lococo F, Zamponi R, Gandellini P, Ciarrocchi A. Linc00941 fuels ribogenesis and protein synthesis by supporting robust cMYC translation in malignant pleural mesothelioma. Cancer Lett 2024; 592:216950. [PMID: 38729555 DOI: 10.1016/j.canlet.2024.216950] [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: 12/05/2023] [Revised: 04/26/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024]
Abstract
Malignant pleural mesothelioma is a rare and lethal cancer caused by exposure to asbestos. The highly inflammatory environment caused by fibers accumulation forces cells to undergo profound adaptation to gain survival advantages. Prioritizing the synthesis of essential transcripts is an efficient mechanism coordinated by multiple molecules, including long non-coding RNAs. Enhancing the knowledge about these mechanisms is an essential weapon in combating mesothelioma. Linc00941 correlates to bad prognosis in various cancers, but it is reported to partake in distinct and apparently irreconcilable processes. In this work, we report that linc00941 supports the survival and aggressiveness of mesothelioma cells by influencing protein synthesis and ribosome biogenesis. Linc00941 binds to the translation initiation factor eIF4G, promoting the selective protein synthesis of cMYC, which, in turn, enhances the expression of key genes involved in translation. We analyzed a retrospective cohort of 97 mesothelioma patients' samples from our institution, revealing that linc00941 expression strongly correlates with reduced survival probability. This discovery clarifies linc00941's role in mesothelioma and proposes a unified mechanism of action for this lncRNA involving the selective translation of essential oncogenes, reconciling the discrepancies about its function.
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Affiliation(s)
- Mila Gugnoni
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy.
| | - Eugenia Lorenzini
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy
| | - Federica Torricelli
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy
| | - Benedetta Donati
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy
| | - Veronica Manicardi
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy
| | - Emanuele Vitale
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Italy
| | - Silvia Muccioli
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy; Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Italy
| | | | - Filippo Lococo
- Università Cattolica del Sacro Cuore, Rome, Italy; UOC Chirurgia Toracica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Raffaella Zamponi
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy
| | - Paolo Gandellini
- Department of Biosciences, University of Milan, 20133, Milan, Italy
| | - Alessia Ciarrocchi
- Laboratory of Translational Research, Azienda USL-IRCCS di Reggio Emilia, Italy.
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Wang Y, Wang J, Zhang Y, Luo H, Yuan H. LncRNA-MUF: A Novel Oncogenic Star with Potential as a Biological Marker and Therapeutic Target for Gastrointestinal Malignancies. J Cancer 2024; 15:1498-1510. [PMID: 38370364 PMCID: PMC10869981 DOI: 10.7150/jca.91984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 12/30/2023] [Indexed: 02/20/2024] Open
Abstract
Gastrointestinal (GI) cancers pose a significant global health challenge, characterized by a high incidence and poor prognosis. The delayed detection and occurrence of metastasis contribute to the overall low survival rates associated with these cancers. Therefore, there is an urgent need to identify novel molecular targets for effective GI cancer treatment. Recent research has shed light on the potential of long non-coding RNAs (lncRNAs) as promising targets in cancer therapy, given their strong association with carcinogenesis and profound impact on tumor development. Among these lncRNAs, lncRNA-MUF, also known as LINC00941, has emerged as a key player in oncogenic regulation, specifically implicated in the progression of various GI cancers, including esophageal, gastric, colorectal, hepatic, and pancreatic cancer. This review aims to provide an updated and focused analysis of the regulatory roles of LINC00941 in the initiation and progression of GI cancer. Our objective is to unravel the underlying molecular mechanisms through which LINC00941 influences GI cancer phenotypes both in vivo and in vitro, with a special emphasis on the key molecules and signaling pathways involved. Additionally, LINC00941 has demonstrated clinical significance in terms of clinical pathology, prognosis, and diagnosis in GI tumors, further reinforcing its potential as a novel therapeutic target.
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Affiliation(s)
- Yang Wang
- Department of Gastroenterology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330008, Jiangxi, China
| | - Jialing Wang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330008, Jiangxi, China
| | - Yihan Zhang
- Second School of Clinical Medicine, Jiangxi Medical College, Nanchang University, Nanchang 330008, Jiangxi, China
| | - Hongliang Luo
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330008, Jiangxi, China
| | - Huazhao Yuan
- Department of General Surgery, Jiujiang Hospital of Traditional Chinese Medicine, Jiujiang 332007, Jiangxi, China
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3
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Yan Q, Su X, Chen Y, Wang Z, Han W, Xia Q, Mao Y, Si J, Li H, Duan S. LINC00941: a novel player involved in the progression of human cancers. Hum Cell 2024; 37:167-180. [PMID: 37995050 DOI: 10.1007/s13577-023-01002-5] [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: 07/18/2023] [Accepted: 10/20/2023] [Indexed: 11/24/2023]
Abstract
LINC00941, also known as lncRNA-MUF, is an intergenic non-coding RNA located on chromosome 12p11.21. It actively participates in a complex competing endogenous RNA network, regulating the expression of microRNA and its downstream proteins. Through transcriptional and post-transcriptional regulation, LINC00941 plays a vital role in multiple signaling pathways, influencing cell behaviors such as tumor cell proliferation, epithelial-mesenchymal transition, migration, and invasion. Noteworthy is its consistently high expression in various tumor types, closely correlating with clinicopathological features and cancer prognoses. Elevated LINC00941 levels are associated with adverse clinical outcomes, including increased tumor size, extensive lymphatic metastasis, and distant metastasis, leading to poorer survival rates across different cancers. Additionally, LINC00941 and its associated genes are linked to various targeted drugs available in the market. In this comprehensive review, we systematically summarize existing studies, detailing LINC00941's differential expression, clinicopathological and prognostic implications, regulatory mechanisms, and associated therapeutic drugs. Our analysis includes relevant charts and incorporates bioinformatics analyses to verify LINC00941's differential expression in pan-cancer and explore potential transcriptional regulation patterns of downstream targets. This work not only establishes a robust data foundation but also guides future research directions. Given its potential as a significant cancer biomarker and therapeutic target, further investigation into LINC00941's differential expression and regulatory mechanisms is essential.
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Affiliation(s)
- Qibin Yan
- Institute of Pharmacy, Zhejiang University of Technology, Hangzhou, Zhejiang, China
- Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
- Department of Pharmacy, Hangzhou City University School of Medicine, Hangzhou, Zhejiang, China
| | - Xinming Su
- Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Yunzhu Chen
- Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Zehua Wang
- Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Wenbo Han
- Department of Pharmacy, Hangzhou City University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Qing Xia
- Institute of Pharmacy, Zhejiang University of Technology, Hangzhou, Zhejiang, China
- Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Yunan Mao
- Department of Pharmacy, Hangzhou City University School of Medicine, Hangzhou, Zhejiang, China
| | - Jiahua Si
- Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Hanbing Li
- Institute of Pharmacy, Zhejiang University of Technology, Hangzhou, Zhejiang, China.
| | - Shiwei Duan
- Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China.
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China.
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Wei H, Yang J, Chen X, Liu M, Zhang H, Sun W, Wang Y, Zhou Y. BAIAP2L2 is a novel prognostic biomarker related to migration and invasion of HCC and associated with cuprotosis. Sci Rep 2023; 13:8692. [PMID: 37248248 DOI: 10.1038/s41598-023-35420-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 05/17/2023] [Indexed: 05/31/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, and its pathophysiological mechanisms remain unknown. IRSp53 family members, such as BAIAP2L1, participate in the progression of multiple tumors. However, the role of BAIAP2L2 in HCC remains unclear. This study comprehensively analyzed the potential role of BAIAP2L2 in HCC using bioinformatic techniques. The expression of BAIAP2L2 in HCC was analyzed using The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), International Cancer Genome Consortium (ICGC), and Human Protein Atlas (HPA) databases and in vitro experiments. In addition, the prognostic value of BAIAP2L2 in HCC was analyzed using the TCGA database. TCGA and GEO database were used to analyze the role of BAIAP2L2 in immune features. We also explored the function of BAIAP2L2 in methylation and cuprotosis. The CellMiner database was used to analyze the relationship between BAIAP2L2 expression and drug sensitivity. Our study revealed that BAIAP2L2 is overexpressed in HCC and promotes the migration and invasion of HCC cells. BAIAP2L2 may affect the prognosis of HCC by regulating immunity, methylation, and cuprotosis. BAIAP2L2 is a novel HCC prognostic gene involved in immune infiltration associated with cuprotosis and may be a potential prognosis and therapeutic target for HCC.
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Affiliation(s)
- Hui Wei
- The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu Province, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Jing Yang
- The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu Province, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Xia Chen
- The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu Province, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Mengxiao Liu
- The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu Province, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Huiyun Zhang
- The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu Province, China
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Weiming Sun
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Yuping Wang
- Department of Gastroenterology, Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu Province, China.
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, China.
| | - Yongning Zhou
- Department of Gastroenterology, Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu Province, China.
- Key Laboratory for Gastrointestinal Diseases of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, 730000, China.
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Marino GB, Wojciechowicz ML, Clarke DJB, Kuleshov MV, Xie Z, Jeon M, Lachmann A, Ma’ayan A. lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs. Database (Oxford) 2023; 2023:7069621. [PMID: 36869839 PMCID: PMC9985331 DOI: 10.1093/database/baad009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 01/25/2023] [Accepted: 02/11/2023] [Indexed: 03/05/2023]
Abstract
Long non-coding ribonucleic acids (lncRNAs) account for the largest group of non-coding RNAs. However, knowledge about their function and regulation is limited. lncHUB2 is a web server database that provides known and inferred knowledge about the function of 18 705 human and 11 274 mouse lncRNAs. lncHUB2 produces reports that contain the secondary structure fold of the lncRNA, related publications, the most correlated coding genes, the most correlated lncRNAs, a network that visualizes the most correlated genes, predicted mouse phenotypes, predicted membership in biological processes and pathways, predicted upstream transcription factor regulators, and predicted disease associations. In addition, the reports include subcellular localization information; expression across tissues, cell types, and cell lines, and predicted small molecules and CRISPR knockout (CRISPR-KO) genes prioritized based on their likelihood to up- or downregulate the expression of the lncRNA. Overall, lncHUB2 is a database with rich information about human and mouse lncRNAs and as such it can facilitate hypothesis generation for many future studies. The lncHUB2 database is available at https://maayanlab.cloud/lncHUB2. Database URL: https://maayanlab.cloud/lncHUB2.
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Affiliation(s)
- Giacomo B Marino
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Megan L Wojciechowicz
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Daniel J B Clarke
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Maxim V Kuleshov
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Zhuorui Xie
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Minji Jeon
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexander Lachmann
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Avi Ma’ayan
- *Corresponding author: Tel: +001-212-241-1153; Fax: +001-212-849-2456;
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Fang Y, Tang W, Zhao D, Zhang X, Li N, Yang Y, Jin L, Li Z, Wei B, Miao Y, Zeng Z, Huang H. Immunological function and prognostic value of lymphoid-specific helicase in liver hepatocellular carcinoma. Cancer Biomark 2023; 38:225-239. [PMID: 37545225 DOI: 10.3233/cbm-230073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
BACKGROUND Lymphoid-specific helicase (HELLS), a SNF2-like chromatin-remodeling enzyme, plays a key role in tumor progression via its DNA methylation function. However, the effects of HELLS on immune infiltration and prognosis in liver hepatocellular carcinoma (LIHC) remain uncertain. METHODS The Tumor Immune Estimation Resource (TIMER) database was employed to explore the pan-cancer mRNA expression of HELLS and its correlation with immunity. GEPIA2 was used to verify the correlation between HELLS expression and survival. The role of HELLS in cancer was explored via gene set enrichment analysis (Gene Ontology and Kyoto Encyclopedia of Genes and Genomes) and the construction of gene-gene and protein-protein interaction networks (PPI). Additionally, correlations between DNA methylation, HELLS expression, and immune-related genes were explored in LIHC. HELLS expression in LIHC clinical samples was determined using qRT-PCR and western blotting. The effects of downregulated HELLS expression in hepatocellular carcinoma cells was explored via transfection experiments in vitro. RESULTS High HELLS mRNA expression was identified in several cancers and was significantly associated with poorer prognosis in LIHC. Furthermore, HELLS expression was positively correlated with tumor-infiltrating lymphocytes and immune checkpoint genes in LIHC. Bioinformatics analysis suggested that DNA methylation of HELLS may be associated with the immune response. Results from the TCGA-LIHC dataset, clinical samples, and functional analysis indicated that HELLS contributed to tumor progression in LIHC. CONCLUSION The study findings demonstrate that HELLS is an important factor in promoting LIHC malignancy and might serve as a potential biomarker for LIHC.
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Affiliation(s)
- Yuan Fang
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Weiqiang Tang
- Institute of Clinical Medicine, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Dan Zhao
- Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xiaoli Zhang
- Gastrointestinal and Hernia Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Na Li
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yang Yang
- Otorhinolaryngology Head and Neck Surgery, Baoshan People's Hospital, Baoshang, Yunnan, China
| | - Li Jin
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Zhitao Li
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Benkai Wei
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yinglei Miao
- Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan, China
- Yunnan Province Clinical Research Center for Digestive Diseases, Yunnan, China
| | - Zhong Zeng
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Hanfei Huang
- Organ Transplantation Center, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
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Chen T, He Q, Xiang Z, Dou R, Xiong B. Identification and Validation of Key Genes of Differential Correlations in Gastric Cancer. Front Cell Dev Biol 2022; 9:801687. [PMID: 35096829 PMCID: PMC8794754 DOI: 10.3389/fcell.2021.801687] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/06/2021] [Indexed: 12/17/2022] Open
Abstract
Background: Gastric cancer (GC) is aggressive cancer with a poor prognosis. Previously bulk transcriptome analysis was utilized to identify key genes correlated with the development, progression and prognosis of GC. However, due to the complexity of the genetic mutations, there is still an urgent need to recognize core genes in the regulatory network of GC. Methods: Gene expression profiles (GSE66229) were retrieved from the GEO database. Weighted correlation network analysis (WGCNA) was employed to identify gene modules mostly correlated with GC carcinogenesis. R package ‘DiffCorr’ was applied to identify differentially correlated gene pairs in tumor and normal tissues. Cytoscape was adopted to construct and visualize the gene regulatory network. Results: A total of 15 modules were detected in WGCNA analysis, among which three modules were significantly correlated with GC. Then genes in these modules were analyzed separately by “DiffCorr”. Multiple differentially correlated gene pairs were recognized and the network was visualized by the software Cytoscape. Moreover, GEMIN5 and PFDN2, which were rarely discussed in GC, were identified as key genes in the regulatory network and the differential expression was validated by real-time qPCR, WB and IHC in cell lines and GC patient tissues. Conclusions: Our research has shed light on the carcinogenesis mechanism by revealing differentially correlated gene pairs during transition from normal to tumor. We believe the application of this network-based algorithm holds great potential in inferring relationships and detecting candidate biomarkers.
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Affiliation(s)
- Tingna Chen
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, China.,Hubei Cancer Clinical Study Center, Wuhan, China
| | - Qiuming He
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, China.,Hubei Cancer Clinical Study Center, Wuhan, China
| | - Zhenxian Xiang
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, China.,Hubei Cancer Clinical Study Center, Wuhan, China
| | - Rongzhang Dou
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, China.,Hubei Cancer Clinical Study Center, Wuhan, China
| | - Bin Xiong
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, China.,Hubei Cancer Clinical Study Center, Wuhan, China
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8
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Chen J, Tang D, Li H, Zhang P. Expression changes of serum LINC00941 and LINC00514 in HBV infection-related liver diseases and their potential application values. J Clin Lab Anal 2021; 36:e24143. [PMID: 34825738 PMCID: PMC8761418 DOI: 10.1002/jcla.24143] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/09/2021] [Accepted: 11/11/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Long non-coding RNAs (LncRNAs) are considered as potential diagnostic markers for a variety of tumors. Here, we aimed to explore the changes of LINC00941 and LINC00514 expression in hepatitis B virus (HBV) infection-related liver disease and evaluate their application value in disease diagnosis. METHODS Serum levels of LINC00941 and LINC00514 were detected by qRT-PCR. Potential diagnostic values were evaluated by receiver operating characteristic curve (ROC) analysis. RESULTS Serum LINC00941 and LINC00514 levels were elevated in patients with chronic hepatitis B (CHB), liver cirrhosis (LC), and hepatocellular carcinoma (HCC) compared with controls. When distinguishing HCC from controls, serum LINC00941 and LINC00514 had diagnostic parameters of an AUC of 0.919 and 0.808, sensitivity of 85% and 90%, and specificity of 86.67% and 56.67%, which were higher than parameters for alpha fetal protein (AFP) (all p < 0.0001). When distinguishing HCC from LC, CHB, or LC from controls, the combined detection of LINC00941 or LINC00514 can significantly improve the accuracy of AFP test alone (all p < 0.05). CONCLUSIONS LINC00941 and LINC00514 were increased in the serum of HBV infection-associated liver diseases and might be independent markers for the detection of liver diseases.
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Affiliation(s)
- Juanjuan Chen
- Laboratory Medicine Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Dongling Tang
- Laboratory Medicine Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Huan Li
- Laboratory Medicine Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Pingan Zhang
- Laboratory Medicine Center, Renmin Hospital of Wuhan University, Wuhan, China
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