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Zhang Z, Gu W, Hu M, Zhang G, Yu F, Xu J, Deng J, Xu L, Mei J, Wang C, Qiu F. Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading. Front Oncol 2022; 12:696037. [PMID: 36147928 PMCID: PMC9488114 DOI: 10.3389/fonc.2022.696037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCompelling evidence indicates that elevated peripheral serum lymphocytes are associated with a favorable prognosis in various cancers. However, the association between serum lymphocytes and glioma is contradictory. In this study, a nomogram was established to predict the diagnosis of glioma-grading through Ki-67 expression and serum lymphocytes.MethodsWe performed a retrospective analysis of 239 patients diagnosed with LGG and 178 patients with HGG. Immunohistochemistry was used to determine the Ki-67 expression. Following multivariate logistic regression analysis, a nomogram was established and used to identify the most related factors associated with HGG. The consistency index (C-index), decision curve analysis (DCA), and a calibration curve were used to validate the model.ResultsThe number of LGG patients with more IDH1/2 mutations and 1p19q co-deletion was greater than that of HGG patients. The multivariate logistic analysis identified Ki-67 expression, serum lymphocyte count, and serum albumin (ALU) as independent risk factors associated with HGG, and these factors were included in a nomogram in the training cohort. In the validation cohort, the nomogram demonstrated good calibration and high consistency (C-index = 0.794). The Spearman correlation analysis revealed a significant association between HGG and serum lymphocyte count (r = −0.238, P <0.001), ALU (r = −0.232, P <0.001), and Ki-67 expression (r = 0.457, P <0.001). Furthermore, the Ki-67 expression was negatively correlated with the serum lymphocyte count (r = −0.244, P <0.05). LGG patients had lower Ki-67 expression and higher serum lymphocytes compared with HGG patients, and a combination of these two variables was significantly higher in HGG patients.ConclusionThe constructed nomogram is capable of predicting the diagnosis of glioma-grade. A decrease in the level of serum lymphocyte count and increased Ki-67 expression in HGG patients indicate that their immunological function is diminished and the tumor is more aggressive.
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Affiliation(s)
- Zhi Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Weiguo Gu
- Department of Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Nanchang Key Laboratory of Tumor Gene Diagnosis and Innovative Treatment Research, Nanchang, China
| | - Mingbin Hu
- Department of Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Guohua Zhang
- Nanchang Key Laboratory of Tumor Gene Diagnosis and Innovative Treatment Research, Nanchang, China
| | - Feng Yu
- Department of Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Department of Oncology, Gaoxin Branch of the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jinbiao Xu
- Department of Oncology, Gaoxin Branch of the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jianxiong Deng
- Department of Oncology, Gaoxin Branch of the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Linlin Xu
- Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Molecular Pathology Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jinhong Mei
- Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Molecular Pathology Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
- *Correspondence: Feng Qiu, ; Jinhong Mei, ; Chunliang Wang,
| | - Chunliang Wang
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
- *Correspondence: Feng Qiu, ; Jinhong Mei, ; Chunliang Wang,
| | - Feng Qiu
- Nanchang Key Laboratory of Tumor Gene Diagnosis and Innovative Treatment Research, Nanchang, China
- Department of Oncology, Gaoxin Branch of the First Affiliated Hospital of Nanchang University, Nanchang, China
- *Correspondence: Feng Qiu, ; Jinhong Mei, ; Chunliang Wang,
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Zhang R, Cheng M, Liu B, Yuan M, Chen D, Wang Y, Wu Z. DEAD-Box Helicase DDX6 Facilitated RIG-I-Mediated Type-I Interferon Response to EV71 Infection. Front Cell Infect Microbiol 2021; 11:725392. [PMID: 34485180 PMCID: PMC8414799 DOI: 10.3389/fcimb.2021.725392] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 07/28/2021] [Indexed: 12/24/2022] Open
Abstract
Previous studies have shown that DEAD (Glu-Asp-Ala-Glu)-box RNA helicases play important roles in viral infection, either as cytosolic sensors of pathogenic molecules or as essential host factors against viral infection. In the current study, we found that DDX6, an RNA helicase belonging to the DEAD-box family of helicase, exhibited anti-Enterovirus 71 activity through augmenting RIG-I-mediated type-I IFN response. Moreover, DDX6 binds viral RNA to form an RNA-protein complex to positively regulate the RIG-I-mediated interferon response; however, EV71 has evolved a strategy to antagonize the antiviral effect of DDX6 by proteolytic degradation of the molecule through its non-structural protein 2A, a virus-encoded protease.
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Affiliation(s)
- Rui Zhang
- Center for Public Health Research, Medical School, Nanjing University, Nanjing, China
| | - Min Cheng
- Center for Public Health Research, Medical School, Nanjing University, Nanjing, China
| | - Bingxin Liu
- Center for Public Health Research, Medical School, Nanjing University, Nanjing, China
| | - Meng Yuan
- Center for Public Health Research, Medical School, Nanjing University, Nanjing, China
| | - Deyan Chen
- Center for Public Health Research, Medical School, Nanjing University, Nanjing, China
| | - Yujiong Wang
- School of Life Sciences, Ningxia University, Yinchuan, China
| | - Zhiwei Wu
- Center for Public Health Research, Medical School, Nanjing University, Nanjing, China
- School of Life Sciences, Ningxia University, Yinchuan, China
- Medical School and Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, China
- State Key Lab of Analytical Chemistry for Life Science, Nanjing University, Nanjing, China
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