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Goyal H, Parwani S, Kaur J. Deciphering the nexus between long non-coding RNAs and endoplasmic reticulum stress in hepatocellular carcinoma: biomarker discovery and therapeutic horizons. Cell Death Discov 2024; 10:451. [PMID: 39448589 PMCID: PMC11502918 DOI: 10.1038/s41420-024-02200-2] [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: 03/12/2024] [Revised: 09/24/2024] [Accepted: 09/30/2024] [Indexed: 10/26/2024] Open
Abstract
Hepatocellular carcinoma (HCC) remains a significant global health challenge with few effective treatment options. The dysregulation of endoplasmic reticulum (ER) stress responses has emerged as a pivotal factor in HCC progression and therapy resistance. Long non-coding RNAs (lncRNAs) play a crucial role as key epigenetic modifiers in this process. Recent research has explored how lncRNAs influence ER stress which in turn affects lncRNAs activity in HCC. We systematically analyze the current literature to highlight the regulatory roles of lncRNAs in modulating ER stress and vice versa in HCC. Our scrutinization highlights how dysregulated lncRNAs contribute to various facets of HCC, including apoptosis resistance, enhanced proliferation, invasion, and metastasis, all driven by ER stress. Moreover, we delve into the emerging paradigm of the lncRNA-miRNA-mRNA axis, elucidating it as the promising avenue for developing novel biomarkers and paving the way for more personalized treatment options in HCC. Nevertheless, we acknowledge the challenges and future directions in translating these insights into clinical practice. In conclusion, our review provides insights into the complex regulatory mechanisms governing ER stress modulation by lncRNAs in HCC.
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Affiliation(s)
- Himanshi Goyal
- Department of Biochemistry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sachin Parwani
- Department of Biochemistry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Jyotdeep Kaur
- Department of Biochemistry, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
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2
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Kolpakov S, Yashkin A, Ukraintseva S, Yashin A, Akushevich I. Genome-Related Mechanisms Contributing to Differences in Alzheimer's Disease Incidence Between White and Black Older US Adults. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-01907-3. [PMID: 38273182 PMCID: PMC11269527 DOI: 10.1007/s40615-024-01907-3] [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: 09/22/2023] [Revised: 12/31/2023] [Accepted: 01/04/2024] [Indexed: 01/27/2024]
Abstract
In this manuscript, we leverage a modified GWAS algorithm adapted for use with multidimensional Cox models and data from the Health and Retirement Study to explore how genetic variation influences the size of the disparity in Alzheimer's disease (AD) incidence between older Black and White US adults. We identified four loci that were associated with higher AD incidence levels in older Black adults: (1) rs11077034 (hazard ratio (HR), 4.98) from the RBFOX1 gene; (2) rs7144494 (HR, 1.68) from the HISLA gene; (3) rs7660552 (HR, 3.07) from the SLC25A4 gene; and (4) rs12599485 (HR, 3.181) from the NIP30 gene. The RBFOX1, HISLA, SLC25A4, and NIP30 genes are known to be associated with AD (RBFOX1, NIP30) directly, and also influence the risk of AD risk-related morbidities such as hypertension (RBFOX1, SLC25A4), depression (SLC25A4), and certain cancers (HISLA, SLC25A4). A likely disparity-generating mechanism may lie in endocytosis and abnormal tissue growing mechanisms, depending on inherited gene mutations and the structure of proxies as well as gene-environment interactions with other risk factors such as lifestyle, education level, and access to adequate medical services.
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Affiliation(s)
- Stanislav Kolpakov
- Social Science Research Institute, Duke University, Durham, NC, 27710, USA.
| | - Arseniy Yashkin
- Social Science Research Institute, Duke University, Durham, NC, 27710, USA
| | | | - Anatoliy Yashin
- Social Science Research Institute, Duke University, Durham, NC, 27710, USA
| | - Igor Akushevich
- Social Science Research Institute, Duke University, Durham, NC, 27710, USA
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Xu X, Ma J, Li W, You Y, Jiang Q, Long P, Liu K, Mo T, Jiang J, Wang W, Lei Y, Diao T, Ruan S, Wang X, Guo H, Chen W, Wu T. Polycyclic aromatic hydrocarbons exposure and plasma lncRNA signature: A profile and functional analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 877:162932. [PMID: 36934921 DOI: 10.1016/j.scitotenv.2023.162932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 05/06/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental pollutants that pose detrimental effects on human health, and the exploration of the associations of PAHs exposure with long non-coding RNA (lncRNA) may provide novel clues to the underlying mechanisms. In the present study, we detected 10 urinary PAHs metabolites by GC-MS and plasma lncRNAs levels by Human LncRNA Array v4 among 230 participants from two panels (160 in the Shiyan panel and 70 in the Wuhan-Zhuhai panel). We applied linear regression models to assess the associations between PAHs metabolites and lncRNAs separately in each panel and combined the results using fixed-effect meta-analysis. To explore the potential origin of PAHs-related lncRNAs in plasma, we estimated their tissue-specificity and associations between lncRNAs levels in plasma and leukocytes. Leukocytes mRNA sequencing data and RNA binding proteins were utilized to explore implicated pathways of identified lncRNAs. We found that urinary 1-hydroxyphenanthrene (1-OH-Phe) was inversely associated with 8 lncRNAs and positively associated with 1 lncRNA, as well as 9-hydroxyphenanthrene (9-OH-Phe) was inversely associated with 11 lncRNAs (FDR < 0.1). Tissue specificity analysis using Genome Tissue Expression database suggested that several identified lncRNAs might specifically express in organs targeted by PAHs exposure (lung, liver, heart, kidney, and brain). Besides, plasma levels of 1-OH-Phe related ENSG00000260616 and 9-OH-Phe related STARD4-AS1 were inversely associated with their intra-leukocytes levels (P value < 0.05). Notably, STARD4-AS1 was positively associated with the expression levels of its neighboring protein-coding gene (CAMK4 and STARD4) in leukocytes and were involved in pathways related to cellular response to DNA damage, which we further confirmed using DNA damage biomarker, 8-hydroxydeoxyguanosine. Functional analysis also revealed vital pathways related to cytokine-mediated signaling and glucose homeostasis. Our findings provided novel insights into plausible biological mechanisms underlying the adverse effects of PAHs exposure.
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Affiliation(s)
- Xuedan Xu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jixuan Ma
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wending Li
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yutong You
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qin Jiang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Pinpin Long
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kang Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Tingting Mo
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jing Jiang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wei Wang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yanshou Lei
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tingyue Diao
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shuping Ruan
- Health Management Center, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, China
| | - Xiaozheng Wang
- Health Management Center, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442008, China
| | - Huan Guo
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Guo X, Gu Y, Guo C, Pei L, Hao C. LINC01146/F11R facilitates growth and metastasis of prostate cancer under the regulation of TGF-β. J Steroid Biochem Mol Biol 2023; 225:106193. [PMID: 36162632 DOI: 10.1016/j.jsbmb.2022.106193] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 02/01/2023]
Abstract
The effect of long intergenic non-protein coding RNAs (lncRNAs) was verified in prostate cancer (PCa), but the mechanism of LINC01146 in PCa is unclear. Bioinformatics was applied to analyze LINC01146 expression in PCa and predict target genes of LINC01146, followed by the verification of qRT-PCR, RNA pull-down and co-immunoprecipitation (Co-IP). The correlation between LINC01146 expression and clinicopathological characteristics was investigated. The location of LINC01146 in PCa cells was detected by fluorescence in situ hybridization (FISH). After interference with LINC01146 or/and F11 receptor (F11R) or treated with transforming growth factor beta 1 (TGF-β1), the function of LINC01146 in PCa in vitro or in vivo was determined by CCK-8, colony formation, flow cytometry, scratch test, transwell assay, xenograft experiment and western blot. LINC01146 and F11R were over-expressed in PCa and positively correlated with poor prognosis. LINC01146 located in the cytoplasm and combined with F11R. LINC01146 overexpression impeded apoptosis, facilitated viability, proliferation, migration and invasion in PCa cells in vitro, promoted tumor growth in vivo, downregulated E-cadherin, Bax and Cleaved caspase-3, and upregulated N-cadherin, Vimentin and PCNA, but LINC01146 silencing did the opposite. F11R was positively regulated by LINC01146 and F11R depletion negated the effect of LINC01146 overexpression on malignant phenotypes of PCa cells. The expression of LINC01146 and F11R was regulated by TGF-β1. The promoting role of TGF-β1 in migration, invasion and F11R in PCa cells was reversed by LINC01146 silencing. LINC01146 upregulated F11R to facilitate malignant phenotypes of PCa cells, which was regulated by TGF-β.
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Affiliation(s)
- Xiaohua Guo
- Department of Urology, Second Hospital of Shanxi Medical University, China.
| | - Yong Gu
- Department of Urology, Second Hospital of Shanxi Medical University, China
| | - Chao Guo
- Department of Urology, Second Hospital of Shanxi Medical University, China
| | - Liang Pei
- Department of Urology, Second Hospital of Shanxi Medical University, China
| | - Chuan Hao
- Department of Urology, Second Hospital of Shanxi Medical University, China
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Mo M, Ma X, Luo Y, Tan C, Liu B, Tang P, Liao Q, Liu S, Yu H, Huang D, Zeng X, Qiu X. Liver-specific lncRNA FAM99A may be a tumor suppressor and promising prognostic biomarker in hepatocellular carcinoma. BMC Cancer 2022; 22:1098. [PMID: 36289466 PMCID: PMC9609286 DOI: 10.1186/s12885-022-10186-2] [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: 06/24/2022] [Accepted: 10/13/2022] [Indexed: 12/17/2022] Open
Abstract
Background Increasing evidence shows that liver-specific long non-coding RNAs (lncRNAs) play important roles in the development of hepatocellular carcinoma (HCC). We identified a novel liver-specific lncRNA, FAM99A, and examined its clinical significance and biological functions in HCC. Methods The expression level and clinical value of FAM99A in HCC were examined using The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases, and were further verified using quantitative real-time polymerase chain reaction (qRT–PCR) in our HCC cohort. Univariate and multivariate Cox proportional hazards regression models were also applied to identify independent prognostic indicators for HCC patients. Cell counting kit-8, colony formation, and Transwell assays were performed to evaluate the effects of FAM99A on the proliferation, migration, and invasion abilities of HCC cells in vitro. A subcutaneous xenograft tumor model was implemented to determine the effect of FAM99A on the tumor growth of HCC cells in vivo. RNA pull-down and mass spectrometry assays were performed to reveal the potential molecular mechanisms of FAM99A in HCC. Results The three public online databases and qRT–PCR data showed that FAM99A was frequently downregulated in HCC tissues and inversely correlated with microvascular invasion and advanced histological grade of HCC patients. Kaplan–Meier survival analysis indicated that decreased FAM99A was significantly associated with poor overall survival of HCC patients based on TCGA database (P = 0.040), ICGC data portal (P < 0.001), and our HCC cohort (P = 0.010). A multivariate Cox proportional hazards regression model based on our HCC cohort suggested that FAM99A was an independent prognostic factor of overall survival for HCC patients (hazard ratio: 0.425, P = 0.039). Upregulation of FAM99A suppressed the proliferation, colony formation, migration, and invasion capacities of HCC cells in vitro, and knockdown of FAM99A had the opposite effects. A subcutaneous xenograft tumor model demonstrated that overexpression of FAM99A significantly inhibited the tumor growth of HCC cells in vivo. Seven tumor-related proteins (PCBP1, SRSF5, SRSF6, YBX1, IGF2BP2, HNRNPK, and HNRNPL) were recognized as possible FAM99A-binding proteins by the RNA pull-down and mass spectrometry assays. Conclusion Our results suggest that FAM99A exerts cancer-inhibiting effects on HCC progression, and it may be a promising prognostic indicator for HCC patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-10186-2.
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Affiliation(s)
- Meile Mo
- grid.256607.00000 0004 1798 2653Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
| | - Xiaoyun Ma
- grid.27255.370000 0004 1761 1174Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012 P.R. China
| | - Yihuan Luo
- grid.412594.f0000 0004 1757 2961Department of Acute Care Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
| | - Chao Tan
- grid.443385.d0000 0004 1798 9548Department of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi 541004 P.R. China
| | - Bihu Liu
- grid.256607.00000 0004 1798 2653Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
| | - Peng Tang
- grid.256607.00000 0004 1798 2653Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
| | - Qian Liao
- grid.256607.00000 0004 1798 2653Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
| | - Shun Liu
- grid.256607.00000 0004 1798 2653Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
| | - Hongping Yu
- grid.256607.00000 0004 1798 2653Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021 P.R. China
| | - Dongping Huang
- grid.256607.00000 0004 1798 2653Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
| | - Xiaoyun Zeng
- grid.256607.00000 0004 1798 2653Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
| | - Xiaoqiang Qiu
- grid.256607.00000 0004 1798 2653Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021 P.R. China
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Liao W, Du J, Wang Z, Feng Q, Liao M, Liu H, Yuan K, Zeng Y. The role and mechanism of noncoding RNAs in regulation of metabolic reprogramming in hepatocellular carcinoma. Int J Cancer 2022; 151:337-347. [PMID: 35460073 PMCID: PMC9325518 DOI: 10.1002/ijc.34040] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/24/2022] [Accepted: 04/05/2022] [Indexed: 02/05/2023]
Abstract
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer. Metabolic reprogramming is considered to be an important hallmark of cancer. Emerging studies have demonstrated that noncoding RNAs (ncRNAs) are closely associated with metabolic reprogramming of HCC. NcRNAs can directly regulate the expressions or functions of metabolic enzymes or indirectly regulate the metabolism of HCC cells through some vital signaling pathways. Until now, the mechanisms of HCC development and progression remain largely unclear, and understanding the regulatory mechanism of ncRNAs on metabolic reprogramming of HCC may provide an important basis for breakthrough progress in the treatment of HCC. In this review, we summarize the ncRNAs involved in regulating metabolic reprogramming of HCC. Specifically, the regulatory roles of ncRNAs in glucose, lipid and amino acid metabolism are elaborated. In addition, we discuss the molecular mechanism of ncRNAs in regulation of metabolic reprogramming and possible therapeutic strategies that target the metabolism of cancer cells by modulating the expressions of specific ncRNAs.
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Affiliation(s)
- Wenwei Liao
- Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Jinpeng Du
- Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Zhen Wang
- Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Qingbo Feng
- Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Mingheng Liao
- Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Huixian Liu
- Department of Postanesthesia Care Unit & Surgical Anesthesia Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Kefei Yuan
- Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Yong Zeng
- Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
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