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Dai S, Wang Q, Lyu Y, Chen Z, Liu X, Zhao G, Zhang H. LncRNA AC100826.1 regulated PLCB1 to promote progression in non-small cell lung cancer. Thorac Cancer 2024; 15:1477-1489. [PMID: 38778543 PMCID: PMC11219295 DOI: 10.1111/1759-7714.15323] [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: 03/07/2024] [Revised: 04/16/2024] [Accepted: 04/18/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Lung cancer is the most common malignant tumor. In the present study, we identified a long non-coding RNA (lncRNA) AC100826.1 (simplify to Lnc1), which was highly expressed in non-small cell lung cancer (NSCLC) tissues compared with the paracancerous tissues. We also observed the critical role of Lnc1 in regulating the metastasis ability of NSCLC cells. METHODS RNA sequencing was performed to detect differential expression levels of lncRNAs in NSCLC tissues and its paracancerous tissues. Effects of Lnc1 on cell proliferation, invasion, and migration were determined by CCK-8, transwell and scratch assays. The xenograft experiment confirmed the effect of Lnc1 on NSCLC cells proliferation and migration abilities in vivo. RT-qPCR and western blots were performed to determine the expression levels of mRNAs and proteins. RESULTS The expression level of Lnc1 was related to multiple pathological results, knockdown of Lnc1 can inhibit the proliferation and metastasis abilities of NSCLC cells. silencing phospholipase C, β1(PLCB1) can reverse the promoting effects of overexpression Lnc1 on NSCLC cells proliferation and migration abilities. In addition, the Rap1 signaling pathway was implicated in the regulation of Lnc1 in NSCLC metastasis. CONCLUSION Our results suggest that Lnc1 regulated the metastatic ability of NSCLC cells through targeting the PLCB1/Rap1 signal pathway.
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Affiliation(s)
- Shenhui Dai
- Thoracic Surgery Laboratory, Xuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Qiao Wang
- Thoracic Surgery Laboratory, Xuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Yin Lyu
- Thoracic Surgery Laboratory, Xuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Zhipeng Chen
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Xiucheng Liu
- Thoracic Surgery Laboratory, Xuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Guoqing Zhao
- Thoracic Surgery Laboratory, Xuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
| | - Hao Zhang
- Thoracic Surgery Laboratory, Xuzhou Medical UniversityXuzhouChina
- Department of Thoracic SurgeryAffiliated Hospital of Xuzhou Medical UniversityXuzhouChina
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Hu Y, Li Y, Zhu H, Wang D, Zhou J, Ni Y, Guo R, Fan B, Li B. In vitro suppression of porcine epidemic diarrhea virus by Panax notoginseng saponins: assessing antiviral potential. Arch Virol 2024; 169:89. [PMID: 38565720 DOI: 10.1007/s00705-024-06020-8] [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: 09/08/2023] [Accepted: 02/12/2024] [Indexed: 04/04/2024]
Abstract
Porcine epidemic diarrhea virus (PEDV) causes severe diarrhea and high mortality in neonatal suckling piglets, leading to significant economic losses to the swine industry. Panax notoginseng saponins (PNS) are bioactive extracts derived from the P. notoginseng plant. In this study, we investigated the anti-PEDV effect of PNS by employing various methodologies to assess their impact on PEDV in Vero cells. Using a CCK-8 (Cell Counting Kit-8) assay, we found that PNS had no significant cytotoxicity below the concentration of 128 µg/mL in Vero cells. Using immunofluorescence assays (IFAs), an enzyme-linked immunosorbent assay (ELISA), and plaque formation assays, we observed a dose-dependent inhibition of PEDV infection by PNS within 24-48 hours postinfection. PNS exerts its anti-PEDV activity specifically at the genome replication stage, and mRNA-seq analysis demonstrated that treatment with PNS resulted in increased expression of various genes, including IFIT1 (interferon-induced protein with tetratricopeptide repeats 1), IFIT3 (interferon-induced protein with tetratricopeptide repeats 3), CFH (complement factor H), IGSF10 (immunoglobulin superfamily member 10), ID2 (inhibitor of DNA binding 2), SPP1 (secreted phosphoprotein 1), PLCB4 (phospholipase C beta 4), and FABP4 (fatty acid binding protein 4), but it resulted in decreased expression of IL1A (interleukin 1 alpha), TNFRSF19 (TNF receptor superfamily member 19), CDH8 (cadherin 8), DDIT3 (DNA damage inducible transcript 3), GADD45A (growth arrest and DNA damage inducible alpha), PTPRG (protein tyrosine phosphatase receptor type G), PCK2 (phosphoenolpyruvate carboxykinase 2), and ADGRA2 (adhesion G protein-coupled receptor A2). This study provides insights into the potential mechanisms underlying the antiviral effects of PNS. Taken together, the results suggest that the PNS might effectively regulate the defense response to the virus and have potential to be used in antiviral therapies.
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Affiliation(s)
- Yiyi Hu
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Yunchuan Li
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Haodan Zhu
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Dandan Wang
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Junming Zhou
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Yanxiu Ni
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Rongli Guo
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Baochao Fan
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Bin Li
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China.
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China.
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China.
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Cheng B, Zhou P, Chen Y. Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinoma. BMC Bioinformatics 2022; 23:248. [PMID: 35739471 PMCID: PMC9219178 DOI: 10.1186/s12859-022-04805-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/20/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND At present, the diagnostic ability of hepatocellular carcinoma (HCC) based on serum alpha-fetoprotein level is limited. Finding markers that can effectively distinguish cancer and non-cancerous tissues is important for improving the diagnostic efficiency of HCC. RESULTS In this study, we developed a predictive model for HCC diagnosis using personalized biological pathways combined with a machine learning algorithm based on regularized regression and carry out relevant examinations. In two training sets, the overall cross-study-validated area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve and the Brier score of the diagnostic model were 0.987 [95%confidence interval (CI): 0.979-0.996], 0.981 and 0.091, respectively. Besides, the model showed good transferability in external validation set. In TCGA-LIHC cohort, the AUROC, AURPC and Brier score were 0.992 (95%CI: 0.985-0.998), 0.967 and 0.112, respectively. The diagnostic model has accomplished very impressive performance in distinguishing HCC from non-cancerous liver tissues. Moreover, we further analyzed the extracted biological pathways to explore molecular features and prognostic factors. The risk score generated from a 12-gene signature extracted from the characteristic pathways was correlated with some immune related pathways and served as an independent prognostic factor for HCC. CONCLUSION We used personalized biological pathways analysis and machine learning algorithm to construct a highly accurate HCC diagnostic model. The excellent interpretable performance and good transferability of this model enables it with great potential for personalized medicine, which can assist clinicians in diagnosis for HCC patients.
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Affiliation(s)
- Binglin Cheng
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, 510515, Guangdong Province, China.,The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Peitao Zhou
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, 510515, Guangdong Province, China
| | - Yuhan Chen
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, 510515, Guangdong Province, China.
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Zhang Q, Meng XH, Qiu C, Shen H, Zhao Q, Zhao LJ, Tian Q, Sun CQ, Deng HW. Integrative analysis of multi-omics data to detect the underlying molecular mechanisms for obesity in vivo in humans. Hum Genomics 2022; 16:15. [PMID: 35568907 PMCID: PMC9107154 DOI: 10.1186/s40246-022-00388-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 05/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Obesity is a complex, multifactorial condition in which genetic play an important role. Most of the systematic studies currently focuses on individual omics aspect and provide insightful yet limited knowledge about the comprehensive and complex crosstalk between various omics levels. SUBJECTS AND METHODS Therefore, we performed a most comprehensive trans-omics study with various omics data from 104 subjects, to identify interactions/networks and particularly causal regulatory relationships within and especially those between omic molecules with the purpose to discover molecular genetic mechanisms underlying obesity etiology in vivo in humans. RESULTS By applying differentially analysis, we identified 8 differentially expressed hub genes (DEHGs), 14 differentially methylated regions (DMRs) and 12 differentially accumulated metabolites (DAMs) for obesity individually. By integrating those multi-omics biomarkers using Mendelian Randomization (MR) and network MR analyses, we identified 18 causal pathways with mediation effect. For the 20 biomarkers involved in those 18 pairs, 17 biomarkers were implicated in the pathophysiology of obesity or related diseases. CONCLUSIONS The integration of trans-omics and MR analyses may provide us a holistic understanding of the underlying functional mechanisms, molecular regulatory information flow and the interactive molecular systems among different omic molecules for obesity risk and other complex diseases/traits.
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Affiliation(s)
- Qiang Zhang
- Department of Community Nursing, School of Nursing and Health, Zhengzhou University, High-Tech Development Zone of States, Zhengzhou, 450001, Henan, People's Republic of China
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Xiang-He Meng
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, People's Republic of China
| | - Chuan Qiu
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Hui Shen
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Lan-Juan Zhao
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Qing Tian
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Chang-Qing Sun
- Department of Community Nursing, School of Nursing and Health, Zhengzhou University, High-Tech Development Zone of States, Zhengzhou, 450001, Henan, People's Republic of China
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, High-Tech Development Zone of States, Zhengzhou, 450001, Henan, People's Republic of China
| | - Hong-Wen Deng
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
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Diallo I, Husseini Z, Guellal S, Vion E, Ho J, Kozak RA, Kobinger GP, Provost P. Ebola Virus Encodes Two microRNAs in Huh7-Infected Cells. Int J Mol Sci 2022; 23:ijms23095228. [PMID: 35563619 PMCID: PMC9106010 DOI: 10.3390/ijms23095228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/04/2022] [Accepted: 05/05/2022] [Indexed: 12/04/2022] Open
Abstract
MicroRNAs (miRNAs) are important gene regulatory molecules involved in a broad range of cellular activities. Although the existence and functions of miRNAs are clearly defined and well established in eukaryotes, this is not always the case for those of viral origin. Indeed, the existence of viral miRNAs is the subject of intense controversy, especially those of RNA viruses. Here, we characterized the miRNA transcriptome of cultured human liver cells infected or not with either of the two Ebola virus (EBOV) variants: Mayinga or Makona; or with Reston virus (RESTV). Bioinformatic analyses revealed the presence of two EBOV-encoded miRNAs, miR-MAY-251 and miR-MAK-403, originating from the EBOV Mayinga and Makona variants, respectively. From the miRDB database, miR-MAY-251 and miR-MAK-403 displayed on average more than 700 potential human host target candidates, 25% of which had a confidence score higher than 80%. By RT-qPCR and dual luciferase assays, we assessed the potential regulatory effect of these two EBOV miRNAs on selected host mRNA targets. Further analysis of Panther pathways unveiled that these two EBOV miRNAs, in addition to general regulatory functions, can potentially target genes involved in the hemorrhagic phenotype, regulation of viral replication and modulation of host immune defense.
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Affiliation(s)
- Idrissa Diallo
- Centre Hospitalier Universitaire de Québec Research Center/CHUL Pavilion, Quebec, QC G1V 4G2, Canada; (I.D.); (Z.H.); (S.G.); (E.V.); (J.H.)
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec, QC G1V 4G2, Canada
| | - Zeinab Husseini
- Centre Hospitalier Universitaire de Québec Research Center/CHUL Pavilion, Quebec, QC G1V 4G2, Canada; (I.D.); (Z.H.); (S.G.); (E.V.); (J.H.)
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec, QC G1V 4G2, Canada
| | - Sara Guellal
- Centre Hospitalier Universitaire de Québec Research Center/CHUL Pavilion, Quebec, QC G1V 4G2, Canada; (I.D.); (Z.H.); (S.G.); (E.V.); (J.H.)
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec, QC G1V 4G2, Canada
| | - Elodie Vion
- Centre Hospitalier Universitaire de Québec Research Center/CHUL Pavilion, Quebec, QC G1V 4G2, Canada; (I.D.); (Z.H.); (S.G.); (E.V.); (J.H.)
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec, QC G1V 4G2, Canada
| | - Jeffrey Ho
- Centre Hospitalier Universitaire de Québec Research Center/CHUL Pavilion, Quebec, QC G1V 4G2, Canada; (I.D.); (Z.H.); (S.G.); (E.V.); (J.H.)
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec, QC G1V 4G2, Canada
| | - Robert A. Kozak
- Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB R3B 3M9, Canada;
- Division of Microbiology, Department of Laboratory Medicine & Molecular Diagnostics, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
| | - Gary P. Kobinger
- Galveston National Laboratory, Department of Microbiology & Immunology, University of Texas Medical Branch, Galveston, TX 77550, USA;
| | - Patrick Provost
- Centre Hospitalier Universitaire de Québec Research Center/CHUL Pavilion, Quebec, QC G1V 4G2, Canada; (I.D.); (Z.H.); (S.G.); (E.V.); (J.H.)
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université Laval, Quebec, QC G1V 4G2, Canada
- Correspondence: ; Tel.: +1-418-525-4444 (ext. 48842)
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Li B, Liu A, Wen Y, Yang G, Zhao J, Li X, Mao Y, Li B. The prognostic values of serum markers in hepatocellular carcinoma after invasive therapies based on real-world data. J Clin Lab Anal 2021; 35:e23932. [PMID: 34403527 PMCID: PMC8418514 DOI: 10.1002/jcla.23932] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 06/29/2021] [Accepted: 07/22/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND AND AIMS Hepatocellular carcinoma (HCC) is one of the most common malignancy with poor prognosis, and the mortality rate remains high. More than 70% of HCC patients have recurrence within 5 years after treatment. The purpose of this study is to evaluate the prognostic values of serum markers with retrospective data. METHODS We applied real-world data (RWD) to analyze the prognostic values of six serum markers for HCC patients after treatment, including α-fetoprotein (AFP), α-fetoprotein-L3 (AFP-L3), Golgi protein73 (GP73), alanine aminotransferase (ALT), albumin (ALB), and total bilirubin (TBil). A total of 268 cases were enrolled to analyze recurrence-free survival (RFS), and 104 cases were used to analyze overall survival (OS). RESULTS Our results demonstrated that patients with higher AFP and AFP-L3 had shorter RFS (p = 0.016 and 0.004), while higher GP73, ALT, and TBil experienced longer RFS (p = 0.000, 0.020, and 0.019). Patients with high-level GP73, ALT, TBil, and low-level ALB had significantly higher mortality rate (p=0.035, 0.008, 0.010, and 0.005). Multivariate analysis revealed that GP73 (HR = 1.548, p = 0.001) and ALT (HR = 1.316, p = 0.046) were identified as independent prognostic factors for RFS, ALB (HR = 0.127, p = 0.007), and ALT (HR = 0.237, p = 0.01) were identified as independent prognostic factors for OS. Subgroups analysis showed that GP73 had better prognostic values than other serum markers in early-stage HCC (p = 0.023). CONCLUSIONS Our study demonstrates that AFP, AFP-L3, and GP73 can be used as prognostic indicators for predicting the recurrence of HCC, while liver function tests have better survival prediction values. GP73 can act as a promising prognostic marker for early-stage HCC.
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Affiliation(s)
- Bo Li
- Department of Clinical LaboratoryThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
| | - Aixia Liu
- Department of Clinical LaboratoryThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
| | - Yi Wen
- Department of Clinical LaboratoryThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
| | - Guang Yang
- Department of Clinical LaboratoryThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
| | - Jing Zhao
- Department of Clinical LaboratoryThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
| | - Xiaohan Li
- Department of Clinical LaboratoryThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
| | - Yuanli Mao
- Department of Clinical LaboratoryThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
| | - Boan Li
- Department of Clinical LaboratoryThe Fifth Medical Center of Chinese PLA General HospitalBeijingChina
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Wang X, Liao X, Yu T, Gong Y, Zhang L, Huang J, Yang C, Han C, Yu L, Zhu G, Qin W, Liu Z, Zhou X, Liu J, Han Q, Peng T. Analysis of clinical significance and prospective molecular mechanism of main elements of the JAK/STAT pathway in hepatocellular carcinoma. Int J Oncol 2019; 55:805-822. [PMID: 31485610 PMCID: PMC6741847 DOI: 10.3892/ijo.2019.4862] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 07/17/2019] [Indexed: 12/18/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is one the most common malignancies and has poor prognosis in patients. The aim of the present study is to explore the clinical significance of the main genes involved in the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway in HCC. GSE14520, a training cohort containing 212 hepatitis B virus-infected HCC patients from the Gene Expression Omnibus database, and data from The Cancer Genome Atlas as a validation cohort containing 370 HCC patients, were used to analyze the diagnostic and prognostic significance for HCC. Joint-effect analyses were performed to determine diagnostic and prognostic significance. Nomograms and risk score models were constructed to predict HCC prognosis using the two cohorts. Additionally, molecular mechanism analysis was performed for the two cohorts. Prognosis-associated genes in the two cohorts were further validated for differential expression using reverse transcription-quantitative polymerase chain reaction of 21 pairs of hepatitis B virus-infected HCC samples. JAK2, TYK2, STAT3, STAT4 and STAT5B had diagnostic significance in the two cohorts (all area under curves >0.5; P≤0.05). In addition, JAK2, STAT5A, STAT6 exhibited prognostic significance in both cohorts (all adjusted P≤0.05). Furthermore, joint-effect analysis had advantages over using one gene alone. Molecular mechanism analyses confirmed that STAT6 was enriched in pathways and terms associated with the cell cycle, cell division and lipid metabolism. Nomograms and risk score models had advantages for HCC prognosis prediction. When validated in 21 pairs of HCC and non-tumor tissue, STAT6 was differentially expressed, whereas JAK2 was not differentially expressed. In conclusion, JAK2, STAT5A and STAT6 may be potential prognostic biomarkers for HCC. JAK2, TYK2, STAT3, STAT4 and STAT5B may be potential diagnostic biomarkers for HCC. STAT6 has a role in HCC that may be mediated via effects on the cell cycle, cell division and lipid metabolism.
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Affiliation(s)
- Xiangkun Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Xiwen Liao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Tingdong Yu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Yizhen Gong
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Linbo Zhang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Jianlu Huang
- Department of Hepatobiliary Surgery, Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530031, P.R. China
| | - Chengkun Yang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Chuangye Han
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Long Yu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Guangzhi Zhu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Wei Qin
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Zhengqian Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Xin Zhou
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Junqi Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Quanfa Han
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Tao Peng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
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