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Kashyap MK, Karathia H, Kumar D, Vera Alvarez R, Forero-Forero JV, Moreno E, Lujan JV, Amaya-Chanaga CI, Vidal NM, Yu Z, Ghia EM, Lengerke-Diaz PA, Achinko D, Choi MY, Rassenti LZ, Mariño-Ramírez L, Mount SM, Hannenhalli S, Kipps TJ, Castro JE. Aberrant spliceosome activity via elevated intron retention and upregulation and phosphorylation of SF3B1 in chronic lymphocytic leukemia. MOLECULAR THERAPY. NUCLEIC ACIDS 2024; 35:102202. [PMID: 38846999 PMCID: PMC11154714 DOI: 10.1016/j.omtn.2024.102202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 04/24/2024] [Indexed: 06/09/2024]
Abstract
Splicing factor 3b subunit 1 (SF3B1) is the largest subunit and core component of the spliceosome. Inhibition of SF3B1 was associated with an increase in broad intron retention (IR) on most transcripts, suggesting that IR can be used as a marker of spliceosome inhibition in chronic lymphocytic leukemia (CLL) cells. Furthermore, we separately analyzed exonic and intronic mapped reads on annotated RNA-sequencing transcripts obtained from B cells (n = 98 CLL patients) and healthy volunteers (n = 9). We measured intron/exon ratio to use that as a surrogate for alternative RNA splicing (ARS) and found that 66% of CLL-B cell transcripts had significant IR elevation compared with normal B cells (NBCs) and that correlated with mRNA downregulation and low expression levels. Transcripts with the highest IR levels belonged to biological pathways associated with gene expression and RNA splicing. A >2-fold increase of active pSF3B1 was observed in CLL-B cells compared with NBCs. Additionally, when the CLL-B cells were treated with macrolides (pladienolide-B), a significant decrease in pSF3B1, but not total SF3B1 protein, was observed. These findings suggest that IR/ARS is increased in CLL, which is associated with SF3B1 phosphorylation and susceptibility to SF3B1 inhibitors. These data provide additional support to the relevance of ARS in carcinogenesis and evidence of pSF3B1 participation in this process.
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Affiliation(s)
- Manoj Kumar Kashyap
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
- Division of Hematology Oncology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
- Amity Stem Cell Institute, Amity Medical School, Amity University Haryana, Panchgaon (Manesar), Gurugram (HR) 122413, India
| | - Hiren Karathia
- Advanced Biomedical Computational Science and National Center for Advancing Translational Sciences, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
- Greenwood Genetic Center, Greenwood, SC, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA
| | - Deepak Kumar
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
| | - Roberto Vera Alvarez
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | - Eider Moreno
- Department of Internal Medicine, Division of Hematology-Oncology, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Juliana Velez Lujan
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
| | | | - Newton Medeiros Vidal
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Zhe Yu
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
| | - Emanuela M. Ghia
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
- Division of Hematology Oncology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
- Center for Novel Therapeutics, University of California, San Diego, La Jolla, CA 92037, USA
| | - Paula A. Lengerke-Diaz
- Department of Internal Medicine, Division of Hematology-Oncology, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Daniel Achinko
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Michael Y. Choi
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
- Division of Hematology Oncology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
- Center for Novel Therapeutics, University of California, San Diego, La Jolla, CA 92037, USA
| | - Laura Z. Rassenti
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
- Division of Hematology Oncology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
- Center for Novel Therapeutics, University of California, San Diego, La Jolla, CA 92037, USA
| | - Leonardo Mariño-Ramírez
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Stephen M. Mount
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland 20742, USA
| | - Sridhar Hannenhalli
- Cancer Data Science Lab, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas J. Kipps
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
- Division of Hematology Oncology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
- Center for Novel Therapeutics, University of California, San Diego, La Jolla, CA 92037, USA
| | - Januario E. Castro
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093-0820, USA
- Department of Internal Medicine, Division of Hematology-Oncology, Mayo Clinic, Phoenix, AZ 85054, USA
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Liang Y, Ma B, Jiang P, Yang HM. Identification of Methylation-Regulated Differentially Expressed Genes and Related Pathways in Hepatocellular Carcinoma: A Study Based on TCGA Database and Bioinformatics Analysis. Front Oncol 2021; 11:636093. [PMID: 34150612 PMCID: PMC8209385 DOI: 10.3389/fonc.2021.636093] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 05/11/2021] [Indexed: 12/21/2022] Open
Abstract
Background In recent years, DNA methylation modification has been shown to be a critical mechanism in the field of epigenetics. Methods Hepatocellular carcinoma (HCC) data were obtained from The Cancer Genome Atlas project, including RNA expression profiles, Illumina Human Methylation 450K BeadChip data, clinical information, and pathological features. Then, differentially expressed genes (DEGs) and differentially methylated genes were identified using R software. Methylation-regulated DEGs (MeDEGs) were further analyzed using Spearman’s correlation analysis. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed using the DAVID database and ClueGO in Cytoscape software. Kaplan–Meier survival analysis explored the relationship between methylation, expression of MeDEGs, and survival time. Gene set enrichment analysis (GSEA) was conducted to predict the function of prognosis-related MeDEGs. Results A total of nine up-regulated and 72 down-regulated MeDEGs were identified. GO and KEGG pathway analyses results indicated that multiple cancer-related terms were enriched. Kaplan–Meier survival analysis showed that the methylation status of four MeDEGs (CTF1, FZD8, PDK4, and ZNF334) was negatively associated with overall survival. Moreover, the methylation status of CDF1 and PDK4 was identified as an independent prognostic factor. According to GSEA, hypermethylation of prognosis-related MeDEGs was enriched in pathways that included “Spliceosome”, “Cell cycle”, “RNA degradation”, “RNA polymerase”, “DNA replication”, “Mismatch repair”, “Base excision repair”, “Nucleotide excision repair”, “Homologous recombination”, “Protein export”, and “Pyrimidine metabolism”. Conclusions Aberrant DNA methylation plays a critical role in malignant progression of HCC. Prognosis-related MeDEGs identified in this research may be potential biomarkers and targets in diagnosis and treatment.
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Affiliation(s)
- Yu Liang
- Department of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Bin Ma
- Department of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Peng Jiang
- Department of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Hong-Mei Yang
- Department of Internal Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
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Chapman WC, Korenblat KM, Fowler KJ, Saad N, Khan AS, Subramanian V, Doyle MBM, Dageforde LA, Tan B, Grierson P, Lin Y, Xu M, Brunt EM. Hepatocellular carcinoma: Where are we in 2018? Curr Probl Surg 2018; 55:450-503. [PMID: 30526875 DOI: 10.1067/j.cpsurg.2018.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- William C Chapman
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO.
| | - Kevin M Korenblat
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | | | - Nael Saad
- University of Rochester, Rochester, NY
| | - Adeel S Khan
- Division of Abdominal Transplant Surgery, Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Vijay Subramanian
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Maria B Majella Doyle
- Barnes-Jewish Hospital, St. Louis Children's Hospital, Washington University School of Medicine, St. Louis, MO
| | - Leigh Anne Dageforde
- Harvard Medical School, Division of Transplant Surgery, Massachusetts General Hospital, Boston, MA
| | - Benjamin Tan
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Patrick Grierson
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Yiing Lin
- Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO
| | - Min Xu
- Department of Surgery, Washington University School of Medicine, St. Louis, MO
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Diagnostic Value of lncRNAs as Biomarker in Hepatocellular Carcinoma: An Updated Meta-Analysis. Can J Gastroenterol Hepatol 2018; 2018:8410195. [PMID: 30410873 PMCID: PMC6205093 DOI: 10.1155/2018/8410195] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Revised: 07/29/2018] [Accepted: 09/14/2018] [Indexed: 02/08/2023] Open
Abstract
Some long noncoding RNAs (lncRNAs) display aberrantly high or low expression in hepatocellular carcinoma (HCC) and have the potential to serve as diagnostic biomarkers. Here, we accomplished a meta-analysis based on current studies to assess the diagnostic value of lncRNAs in HCC. Eligible literatures were systematically selected from PubMed, Web of Science, and Embase (up to January 20, 2018) according to defined inclusion and exclusion criteria. QUADAS scale was applied to the quality assessment of the included studies. Statistical analysis was performed through bivariate random-effects models based on R software. Publication bias was evaluated by funnel plot and Begg's and Egger's tests. 16 articles containing 2,268 cancer patients and 2,574 controls were selected for the final meta-analysis. Random effect model was used for the meta-analysis due to significant between-study heterogeneity. The pooled sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were 0.87(0.838-0.897), 0.829(0.794-0.86), 23.085(20.575-25.901), 4.533(4.239-4.847), and 0.176(0.166-0.186), respectively. Summary receiver operating characteristic curve (SROC) was conducted to estimate the diagnostic accuracy of lncRNAs in HCC with the area under curve (AUC) of 0.915. Subgroups analysis showed that lncRNA profiling, sample size, specimen types, and ethnicity might be the sources of heterogeneity. No publication bias existed according to funnel plot symmetry and Begg's (P = 0.187) and Egger's (P = 0.477) tests. In conclusion, lncRNAs can serve as potential diagnostic biomarkers of HCC with high sensitivity and specificity. In addition, lncRNAs panel from serum and plasma has a relatively high diagnostic value for HCC patients from Asia.
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Hao QQ, Chen GY, Zhang JH, Sheng JH, Gao Y. Diagnostic value of long noncoding RNAs for hepatocellular carcinoma: A PRISMA-compliant meta-analysis. Medicine (Baltimore) 2017; 96:e7496. [PMID: 28700498 PMCID: PMC5515770 DOI: 10.1097/md.0000000000007496] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Increasing evidences have shown that long noncoding RNAs (lncRNAs) are involved in cancer diagnosis and prognosis. However, the overall diagnostic accuracy of lncRNAs for hepatocellular carcinoma (HCC) remains unclear. Herein, we perform a meta-analysis to assess diagnostic value of lncRNAs for HCC. METHODS The online PubMed, Cochrane, Web of Science, and Embase database were searched for eligible studies published until October 5, 2016. Study quality was evaluated with the Quality Assessment for Studies of Diagnostic Accuracy (QUADAS). All statistical analyses were conducted with Stata 12.0 and Meta-Disc 1.4. RESULTS We included 19 studies from 10 articles with 1454 patients with HCC and 1300 controls. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and AUC for lncRNAs in the diagnosis of HCC were 0.83 (95% confidence interval [CI]: 0.76-0.88), 0.80 (95% CI: 0.73-0.86), 4.2 (95% CI: 3.00-5.80), 0.21 (95% CI: 0.15-0.31), 20 (95% CI: 11-34), and 0.88 (95% CI: 0.85-0.91), respectively. Additionally, the diagnostic value of lncRNAs varied based on sex ratio of cases and characteristics of methods (specimen type and reference gen). CONCLUSION This meta-analysis suggests lncRNAs show a moderate diagnostic accuracy for HCC. However, prospective studies are required to confirm its diagnostic value.
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Tian C, Yao S, Liu L, Ding Y, Ye Q, Dong X, Gao Y, Yang N, Li Q. Klf4 inhibits tumor growth and metastasis by targeting microRNA-31 in human hepatocellular carcinoma. Int J Mol Med 2016; 39:47-56. [PMID: 27909734 PMCID: PMC5179175 DOI: 10.3892/ijmm.2016.2812] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 11/18/2016] [Indexed: 12/21/2022] Open
Abstract
MicroRNAs (miRNAs or miRs) are short, endogenous non-coding RNA molecules, demonstrating abnormal expression in cancer initiation and progression. In this study, we profiled 18 differentially regulated miRNAs, including miRNA-31, using miRNA array. Kruppel (or Krüppel)-like factor 4 (Klf4) is a transcription factor and putative tumor suppressor. Both were found to be significantly downregulated in liver cancer tissues and cells. However, little is known about the correlation between Klf4 and miRNA-31 in hepatocellular carcinoma (HCC). The mRNA expression of Klf4 was decreased and inversely associated with the clinical stage, T classification and hepatitis B in patients with HCC, while the expression of miR-31 was lower (r=0.326, P=0.018). Using cell counting kit 8 (CCK8) and Transwell migration assays, we found that Klf4 and miR-31 inhibited the proliferation and metastasis of liver cancer cells. Moreover, we demonstrated that Klf4 directly binds to the promoter of miR-31 and activates its transcription. In vitro experiments confirmed that Klf4 regulated miR-31 and thereby inhibited HCC cell growth and metastasis. Taken together, our findings indicate that Klf4 directly regulates miR-31 in HCC. Thus, miR-31 may serve as a potential diagnostic marker and therapeutic target in HCC.
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Affiliation(s)
- Chuan Tian
- Department of Oncology, Shanghai First People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, P.R. China
| | - Shanshan Yao
- Department of Oncology, Shanghai First People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, P.R. China
| | - Li Liu
- Department of Pharmacy, Guiyang Hospital of Guizhou Aviation Industry Group, Guiyang, Guizhou, P.R. China
| | - Youcheng Ding
- Department of General Surgery, Shanghai East Hospital, Tongji University, Shanghai, P.R. China
| | - Qingwang Ye
- Department of Liver Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, P.R. China
| | - Xiao Dong
- Department of Oncology, Shanghai First People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, P.R. China
| | - Yong Gao
- Department of Oncology, Shanghai East Hospital, Tongji University, Shanghai, P.R. China
| | - Ning Yang
- Department of Liver Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, P.R. China
| | - Qi Li
- Department of Oncology, Shanghai First People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, P.R. China
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