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Jia W, Wu Q, Li R, Hou S, Kang C. Role of CENPF and NDC80 in the rehabilitation nursing of hepatocellular carcinoma and cirrhosis: An observational study. Medicine (Baltimore) 2024; 103:e37984. [PMID: 38701255 PMCID: PMC11062706 DOI: 10.1097/md.0000000000037984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 04/01/2024] [Indexed: 05/05/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors globally and often develops on the foundation of chronic liver disease or cirrhosis. Cirrhosis is a clinically prevalent chronic progressive liver disease characterized by diffuse liver damage resulting from long-term or repeated actions of 1 or more etiological factors. However, the impact of CENPF and nuclear division cycle 80 (NDC80) genes on rehabilitation nursing of HCC and cirrhosis remains unclear. HCC and cirrhosis datasets GSE63898 and GSE89377 profile files were downloaded from the gene expression omnibus database generated on platforms GPL13667 and GPL6947, respectively. Differentially expressed genes (DEGs) screening, weighted gene co-expression network analysis (WGCNA), construction and analysis of protein-protein interaction (PPI) networks, functional enrichment analysis, gene set enrichment analysis (GSEA), survival analysis, immune infiltration analysis, and comparative toxicogenomics database (CTD) analysis were conducted. Gene expression heatmaps were plotted. miRNAs regulating central DEGs were selected through TargetScan. A total of 626 DEGs were identified. According to gene ontology (GO) analysis, they were primarily enriched in small molecule metabolic processes, drug metabolic processes, binding of identical proteins, and lipid metabolic processes. Kyoto Encyclopedia of Gene and Genome (KEGG) analysis results indicated that the target genes were mainly enriched in metabolic pathways, phagosomes, glycine, serine, and threonine metabolism. The construction and analysis of the PPI network revealed 3 core genes (NDC80, CENPF, RRM2). Gene expression heatmaps showed that core genes (CENPF, NDC80) were highly expressed in HCC and cirrhosis samples. CTD analysis found that 2 genes (CENPF and NDC80) were associated with liver, jaundice, ascites, fever, dyspepsia, and hepatic encephalopathy. CENPF and NDC80 are highly expressed in HCC and cirrhosis, and CENPF and NDC80 might be the biomarkers of rehabilitation nursing of HCC and cirrhosis.
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Affiliation(s)
- Wei Jia
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Shijingshan District, Beijing, P.R. China
| | - Qiaoling Wu
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Shijingshan District, Beijing, P.R. China
| | - Ruipu Li
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Shijingshan District, Beijing, P.R. China
| | - Shiyang Hou
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Shijingshan District, Beijing, P.R. China
| | - Chunbo Kang
- Gastrointestinal Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Shijingshan District, Beijing, P.R. China
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Fahrmann JF, Wasylishen AR, Pieterman CRC, Irajizad E, Vykoukal J, Wu R, Dennison JB, Peterson CB, Zhao H, Do KA, Halperin DM, Agarwal SK, Blau JE, Jha S, Rivero JD, Nilubol N, Walter MF, Welch JM, Weinstein LS, Vriens MR, van Leeuwaarde RS, van Treijen MJC, Valk GD, Perrier ND, Hanash SM, Katayama H. Blood-based Proteomic Signatures Associated With MEN1-related Duodenopancreatic Neuroendocrine Tumor Progression. J Clin Endocrinol Metab 2023; 108:3260-3271. [PMID: 37307230 PMCID: PMC11032251 DOI: 10.1210/clinem/dgad315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/16/2023] [Accepted: 05/30/2023] [Indexed: 06/14/2023]
Abstract
PURPOSE Patients with multiple endocrine neoplasia type 1 (MEN1) are predisposed to develop duodenopancreatic neuroendocrine tumors (dpNETs), and metastatic dpNET is the primary cause of disease-related mortality. Presently, there is a paucity of prognostic factors that can reliably identify patients with MEN1-related dpNETS who are at high risk of distant metastasis. In the current study, we aimed to establish novel circulating molecular protein signatures associated with disease progression. EXPERIMENTAL DESIGN Mass spectrometry-based proteomic profiling was conducted on plasmas procured through an international collaboration between MD Anderson Cancer Center, the National Institutes of Health, and the University Medical Center Utrecht from a cohort of 56 patients with MEN1 [14 with distant metastasis dpNETs (cases) and 42 with either indolent dpNETs or no dpNETs (controls)]. Findings were compared to proteomic profiles generated from serially collected plasmas from a mouse model of Men1-pancreatic neuroendocrine tumors (Men1fl/flPdx1-CreTg) and control mice (Men1fl/fl). RESULTS A total of 187 proteins were found to be elevated in MEN1 patients with distant metastasis compared to controls, including 9 proteins previously associated with pancreatic cancer and other neuronal proteins. Analyses of mouse plasmas revealed 196 proteins enriched for transcriptional targets of oncogenic MYCN, YAP1, POU5F1, and SMAD that were associated with disease progression in Men1fl/flPdx1-CreTg mice. Cross-species intersection revealed 19 proteins positively associated with disease progression in both human patients and in Men1fl/flPdx1-CreTg mice. CONCLUSIONS Our integrated analyses identified novel circulating protein markers associated with disease progression in MEN1-related dpNET.
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Affiliation(s)
- Johannes F Fahrmann
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Amanda R Wasylishen
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Carolina R C Pieterman
- Department of Surgical Oncology, Section of Surgical Endocrinology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht 3508 GA, the Netherlands
| | - Ehsan Irajizad
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jody Vykoukal
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ranran Wu
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer B Dennison
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christine B Peterson
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hua Zhao
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Kim-Anh Do
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Daniel M Halperin
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sunita K Agarwal
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jenny E Blau
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Smita Jha
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jaydira Del Rivero
- Developmental Therapeutics Branch, The National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Naris Nilubol
- Surgical Oncology Program, The National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mary F Walter
- Core for Clinical Laboratory Services, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - James M Welch
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lee S Weinstein
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Menno R Vriens
- Department of Surgical Oncology and Endocrine Surgery, University Medical Center Utrecht, Utrecht 3584 CX, the Netherlands
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute Amsterdam, University Medical Center Utrecht, Utrect 1066 CX, the Netherlands
| | - Rachel S van Leeuwaarde
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute Amsterdam, University Medical Center Utrecht, Utrect 1066 CX, the Netherlands
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Mark J C van Treijen
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute Amsterdam, University Medical Center Utrecht, Utrect 1066 CX, the Netherlands
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Gerlof D Valk
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute Amsterdam, University Medical Center Utrecht, Utrect 1066 CX, the Netherlands
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Nancy D Perrier
- Department of Surgical Oncology, Section of Surgical Endocrinology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Samir M Hanash
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hiroyuki Katayama
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Chen C, Rong Y, Zhuang Y, Tang C, Liu Q, Lin P, Li D, Zhao X, Lu F, Qu J, Liu X. RNA-Seq Analysis Reveals an Essential Role of the cGMP-PKG-MAPK Pathways in Retinal Degeneration Caused by Cep250 Deficiency. Int J Mol Sci 2023; 24:8843. [PMID: 37240188 PMCID: PMC10218315 DOI: 10.3390/ijms24108843] [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: 04/12/2023] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Usher syndrome (USH) is characterised by degenerative vision loss known as retinitis pigmentosa (RP), sensorineural hearing loss, and vestibular dysfunction. RP can cause degeneration and the loss of rod and cone photoreceptors, leading to structural and functional changes in the retina. Cep250 is a candidate gene for atypical Usher syndrome, and this study describes the development of a Cep250 KO mouse model to investigate its pathogenesis. OCT and ERG were applied in Cep250 and WT mice at P90 and P180 to access the general structure and function of the retina. After recording the ERG responses and OCT images at P90 and P180, the cone and rod photoreceptors were visualised using an immunofluorescent stain. TUNEL assays were applied to observe the apoptosis in Cep250 and WT mice retinas. The total RNA was extracted from the retinas and executed for RNA sequencing at P90. Compared with WT mice, the thickness of the ONL, IS/OS, and whole retina of Cep250 mice was significantly reduced. The a-wave and b-wave amplitude of Cep250 mice in scotopic and photopic ERG were lower, especially the a-wave. According to the immunostaining and TUNEL stain results, the photoreceptors in the Cep250 retinas were also reduced. An RNA-seq analysis showed that 149 genes were upregulated and another 149 genes were downregulated in Cep250 KO retinas compared with WT mice retinas. A KEGG enrichment analysis indicated that cGMP-PKG signalling pathways, MAPK signalling pathways, edn2-fgf2 axis pathways, and thyroid hormone synthesis were upregulated, whereas protein processing in the endoplasmic reticulum was downregulated in Cep250 KO eyes. Cep250 KO mice experience a late-stage retinal degeneration that manifests as the atypical USH phenotype. The dysregulation of the cGMP-PKG-MAPK pathways may contribute to the pathogenesis of cilia-related retinal degeneration.
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Affiliation(s)
- Chong Chen
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Yu Rong
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Youyuan Zhuang
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Cheng Tang
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Qian Liu
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Peng Lin
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Dandan Li
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Xinyi Zhao
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Fan Lu
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Jia Qu
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Xinting Liu
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; (C.C.); (Y.R.); (Y.Z.); (C.T.); (Q.L.); (P.L.); (D.L.); (X.Z.); (F.L.)
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
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Khashei Varnamkhasti K, Moghanibashi M, Naeimi S. Genes whose expressions in the primary lung squamous cell carcinoma are able to accurately predict the progression of metastasis through lymphatic system, inferred from a bioinformatics analyses. Sci Rep 2023; 13:6733. [PMID: 37185598 PMCID: PMC10130036 DOI: 10.1038/s41598-023-33897-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/20/2023] [Indexed: 05/17/2023] Open
Abstract
Lymph node metastasis is the most important prognostic factor in patients with lung squamous cell carcinoma. The current findings show that lymph node metastatic tumor cells can arise by programming metastasis in primary tumor cells. Thereby, the genetic alterations responsible for the metastasis could be detected in the primary tumors. This bioinformatic study aimed to determine novel potential prognostic biomarkers shared between primary lung squamous cell tumors (without lymph node metastasis) and lymphatic metastasis, using the Cancer Genome Atlas database. Differentially expressed genes were screened by limma statistical package in R environment. Gene ontology and biological pathways analyses were performed using Enrichr for up-regulated and down-regulated genes. Also, we selected lymph node metastasis related genes among DEGs using correlation analysis between DEGs and suitable references genes for metastasis. Receiver operating characteristic curves was applied using pROC and R package ggplot2 to evaluate diagnostic value of differentially expressed genes. In addition, survival and drug resistance analyses were performed for differentially expressed genes. The miRNA-mRNA interaction networks were predicted by miRwalk and TargetScan databases and expression levels analysis of the miRNAs which were mainly targeting mRNAs was performed using UALCAN database. Protein-protein interaction network analysis and hub genes identification were performed using FunRich and Cytoscape plugin cytoHubba. In this study, a total of 397 genes were differentially expressed not only with a significant difference between N + vs. normal and N0 vs. normal but also with significant difference between N + vs. N0. Identified GO terms and biological pathways were consistent with DEGs role in the lung squamous cell carcinoma and lymph node metastasis. A significant correlation between 56 genes out of 397 differentially expressed genes with reference genes prompted them being considered for identifying lymph node metastasis of lung squamous cell carcinoma. In addition, SLC46A2, ZNF367, AC107214.1 and NCBP1 genes were identified as survival-related genes of patients with lung squamous cell carcinoma. Moreover, NEDD9, MRPL21, SNRPF, and SCLT1 genes were identified to be involved in lung squamous cell carcinoma drug sensitivity/resistance. We have identified several numbers of miRNAs and their related target genes which could emerge as potential diagnostic biomarkers. Finally, CDK1, PLK1, PCNA, ZWINT and NDC80 identified as hub genes for underlying molecular mechanisms of lung squamous cell carcinoma and lymphatic metastasis. Our study highlights new target genes according to their relation to lymph node metastasis, whose expressions in the primary lung squamous cell carcinoma are able to accurately assess the presence of lymphatic metastasis.
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Affiliation(s)
| | - Mehdi Moghanibashi
- Department of Genetics, Faculty of Medicine, Islamic Azad University, Kazerun branch, Kazerun, Iran.
| | - Sirous Naeimi
- Department of Genetics, College of Science, Islamic Azad University, Kazerun Branch, Kazerun, Iran
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Feng X, Jiang Y, Cui Y, Xu Y, Zhang Q, Xia Q, Chen Y. NEK2 is associated with poor prognosis of clear cell renal cell carcinoma and promotes tumor cell growth and metastasis. Gene 2022; 851:147040. [DOI: 10.1016/j.gene.2022.147040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/26/2022] [Accepted: 11/04/2022] [Indexed: 11/10/2022]
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Shao L, Liang L, Fang Q, Wang J. Construction of novel lncRNA-miRNA-mRNA ceRNA networks associated with prognosis of hepatitis C virus related hepatocellular carcinoma. Heliyon 2022; 8:e10832. [PMID: 36217480 PMCID: PMC9547242 DOI: 10.1016/j.heliyon.2022.e10832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/20/2022] [Accepted: 09/26/2022] [Indexed: 12/24/2022] Open
Abstract
Background Hepatitis C virus (HCV) infection contribute to liver fibrosis and cirrhosis, which significantly increases the risk of hepatocellular carcinoma (HCC) development. Previous studies have demonstrated the pivotal role of competitive endogenous RNA (ceRNA) networks in tumorigenesis and cancer progression. Consequently, we herein seek to identify and evaluate the prognostic relevance of a novel ceRNA network associated with HCV-related HCC. Methods Differentially expressed genes (DEGs) in GSE140846 dataset from GEO were identified using Network Analyst, and GO, KEGG and Reactome analyses were performed. Furthermore, a protein-protein interaction network was generated, and hub genes were detected. Hub gene expression levels, as well as those of their upstream lncRNAs and miRNAs and associated survival analyses were conducted using appropriate bioinformatics databases. Predicted target relationships were used to establish putative ceRNA networks for HCV-related HCC. Results A total of 372 and 360 up- and down-regulated DE-mRNA were identified, which were associated with nuclear division, cell cycle, and ATPase activity. A PPI network containing 704 DE-mRNAs was constructed, and the 6 hub gene with the highest degree of connectivity were selected for subsequent analysis. We discovered that 22 miRNAs and 4 lncRNAs upstream of 11 hub gene were significantly associated with poor prognosis of HCV-related HCC, and used them to constructe a prognostic ceRNA network. Further experiments confirmed the ceRNA-regulatory relationship of BUB1-hsa-miR-193a-3p-MALAT1. Conclusion This study provides novel insights into the lncRNA-miRNA-mRNA ceRNA network, and reveals potential lncRNA biomarkers in HCV related HCC.
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Affiliation(s)
- Lishi Shao
- Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Avenue, Kunming, Yunnan 650101, PR China
| | - Lei Liang
- Department of Oncology, The First Affiliated Hospital of Kunming Medical University, 519 Kunzhou Road, Kunming, Yunnan 650032, PR China
| | - Qixiang Fang
- Department of Urology, The First Affiliated Hospital of the Medical College of Xi'an Jiaotong University, 277 Yanta Xi Lu, Xi 'an, Shaanxi 710061, PR China
| | - Jiaping Wang
- Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Avenue, Kunming, Yunnan 650101, PR China
- Corresponding author.
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Wang C, Xie X, Li W, Jiang D. Expression of KIF2A, NDC80, CDK1, and CCNB1 in breast cancer patients: Their interaction and linkage with tumor features and prognosis. J Clin Lab Anal 2022; 36:e24647. [PMID: 35949045 PMCID: PMC9459262 DOI: 10.1002/jcla.24647] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 07/23/2022] [Accepted: 07/26/2022] [Indexed: 12/24/2022] Open
Abstract
Background Kinesin family member 2A (KIF2A), nuclear division cycle 80 (NDC80), cyclin‐dependent kinase 1 (CDK1), and cyclin B1 (CCNB1) exhibit a complex interrelation, which promote cancer progression via multiple ways, whereas their interaction and clinical implications in breast cancer are obscure. Hence, this study aimed to evaluate the correlation among KIF2A, NDC80, CDK1, CCNB1, and their linkage with clinicopathological features and prognosis in breast cancer patients. Methods 195 breast cancer patients underwent surgical resection were analyzed. KIF2A, NDC80, CDK1, and CCNB1 expressions were determined by immunohistochemical (IHC) assay and scored by a semiquantitative IHC score or positive cell percentage. Results KIF2A expression positively associated with NDC80, CDK1, and CCNB1 expressions (all p < 0.01). In terms of tumor features: KIF2A high expression linked with increased T stage (p = 0.011), N stage (p = 0.014), and TNM stage (p = 0.009) but not tumor differentiation (p = 0.651). NDC80 high expression only related to higher N stage (p = 0.010); CDK1 high expression only connected with elevated N stage (p = 0.035) and TNM stage (p = 0.023). In aspect of prognosis, high expression of KIF2A was correlated with worse disease‐free survival (DFS) (p = 0.031), while NDC80 high (p = 0.329), CDK1 high (p = 0.276), and CCNB1 positive (p = 0.063) expressions only showed trends to link with poor DFS (without statistical significance). Furthermore, high expression of KIF2A (p = 0.063), NDC80 (p = 0.939), CDK1 (p = 0.413) and positive expression of CCNB1 (p = 0.296) did not relate to overall survival. Conclusion KIF2A correlates with NDC80, CDK1, CCNB1, and may link with advanced tumor stages and poor prognosis in breast cancer patients.
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Affiliation(s)
- Cong Wang
- Department of Breast Surgery, Cancer Hospital of China Medical University, Shenyang, China
| | - Xianxin Xie
- Department of Breast Surgery, Cancer Hospital of China Medical University, Shenyang, China
| | - Weijie Li
- Department of Breast Surgery, Cancer Hospital of China Medical University, Shenyang, China
| | - Daqing Jiang
- Department of Breast Surgery, Cancer Hospital of China Medical University, Shenyang, China
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