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Zhang R, Bian C, Gao J, Ren H. Endoplasmic reticulum stress in diabetic kidney disease: adaptation and apoptosis after three UPR pathways. Apoptosis 2023:10.1007/s10495-023-01858-w. [PMID: 37285056 DOI: 10.1007/s10495-023-01858-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2023] [Indexed: 06/08/2023]
Abstract
Diabetes kidney disease (DKD) is one of the common chronic microvascular complications of diabetes, which has become the most important cause of modern chronic kidney disease beyond chronic glomerulonephritis. The endoplasmic reticulum is one of the largest organelles, and endoplasmic reticulum stress (ERS) is the basic mechanism of metabolic disorder in all organs and tissues. Under the stimulation of stress-induced factors, the endoplasmic reticulum, as a trophic receptor, regulates adaptive and apoptotic ERS through molecular chaperones and three unfolded protein reaction (UPR) pathways, thereby regulating diabetic renal damage. Therefore, three pathway factors have different expressions in different sections of renal tissues. This study deeply discussed the specific reagents, animals, cells, and clinical models related to ERS in DKD, and reviewed ERS-related three pathways on DKD with glomerular filtration membrane, renal tubular reabsorption, and other pathological lesions of different renal tissues, as well as the molecular biological mechanisms related to the balance of adaption and apoptosis by searching and sorting out MeSH subject words from PubMed database.
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Affiliation(s)
- Ruijing Zhang
- Advanced Institute for Medical Sciences, Dalian Medical University, Lvshun South Road west 9, Dalian, 116044, Liaoning, China
| | - Che Bian
- Department of Endocrinology and Metabolism, the Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Jing Gao
- Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Huiwen Ren
- Advanced Institute for Medical Sciences, Dalian Medical University, Lvshun South Road west 9, Dalian, 116044, Liaoning, China.
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2
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Wang F, Li Y, Li Z, Zou Z, Lu Y, Xu C, Zhao Z, Wang H, Wang Y, Guo S, Jin L, Wang J, Li Q, Jiang G, Xia F, Shen B, Wu J. Prognostic value of GPC5 polymorphism rs2352028 and clinical characteristics in Chinese lung cancer patients. Future Oncol 2022; 18:3165-3177. [PMID: 36165234 DOI: 10.2217/fon-2022-0319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background: GPC5 rs2352028 is associated with the risk of lung cancer, but its relationship with lung cancer prognosis is unclear. Materials & methods: The authors collected blood samples from 888 patients with lung cancer and used a Cox proportional hazards model to analyze the association between prognosis and GPC5 polymorphism rs2352028. Results: GPC5 rs2352028 C > T was associated with a better prognosis. Patients with CT genotype had longer overall survival than those with CC genotype. Additionally, older and early-stage patients with CT + TT genotype had a lower risk of death than those with CC genotype. Conclusion: GPC5 rs2352028 C > T may play a protective role in patients with lung cancer and GPC5 rs2352028 may be a potential genetic marker for lung cancer prognosis.
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Affiliation(s)
- Fan Wang
- Company 1 of Basic Medical Science, Navy Military Medical University, Shanghai, 200433, China
| | - Yutao Li
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics & Development, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Zhengxing Li
- Company 6 of Basic Medical Science, Navy Military Medical University, Shanghai, 200433, China
| | - Zixiu Zou
- School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Yongming Lu
- Department of Biochemistry and Molecular Biology, Hainan Medical University, Haikou, 571199, China
| | - Chang Xu
- Clinical College of Xiangnan University, Chenzhou, 423000, China
| | - ZongXu Zhao
- Department of Biochemistry and Molecular Biology, Hainan Medical University, Haikou, 571199, China
| | - HuaiZhou Wang
- Department of Laboratory Diagnosis, Navy Military Medical University Affiliated Changhai Hospital, Shanghai, 200433, China
| | - Yi Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics & Development, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Shicheng Guo
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics & Development, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics & Development, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics & Development, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Qiang Li
- Department of Respiratory and Critical Care Medicine, Shanghai East Hospital, TongJi University, Shanghai, 200120, China
| | - GengXi Jiang
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai Hospital, Shanghai, 200433, China
| | - Fan Xia
- Department of Respiratory Disease, Navy 905 Hospital, Shanghai, 200235, China
| | - Bo Shen
- Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Nanjing, 210009, China
| | - Junjie Wu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.,Department of Pulmonary and Critical Care Medicine, Shanghai Geriatric Medical Center, Shanghai, 200032, China.,State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, 200438, China
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Dong S, Ma M, Li M, Guo Y, Zuo X, Gu X, Zhang M, Shi Y. LncRNA MEG3 regulates breast cancer proliferation and apoptosis through miR-141-3p/RBMS3 axis. Genomics 2021; 113:1689-1704. [PMID: 33845141 DOI: 10.1016/j.ygeno.2021.04.015] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 01/26/2021] [Accepted: 04/05/2021] [Indexed: 02/06/2023]
Abstract
Maternally expressed 3 (MEG3) and RNA binding motif single stranded interacting protein 3 (RBMS3) are abnormally expressed in breast cancer susceptibility genes (BRCA), but the mechanism of the two in breast cancer (BC) is unclear. By performing in vivo and in vitro experiments, we found that MEG3 and RBMS3 were low-expressed, negatively correlated with high-expressed miR-141-3p, were positively correlated with each other in BC. MEG3 targeted miR-141-3p, and miR-141-3p targeted RBMS3. MEG3, which was mainly distributed in BC cytoplasm, could down-regulate miR-141-3p and up-regulate RBMS3, and reverse effect of miR-141-3p on related gene expressions and on promoting cancer development. Overexpressed MEG3 inhibited growth of xenografts, promoted cell apoptosis via regulating apoptosis related factors, and up-regulated RBMS3 expression but down-regulated miR-141-3p. The findings of this study showed that MEG3 inhibited proliferation and promoted apoptosis of BC cells through the miR-141-3p/RBMS3 axis, and MEG3 inhibited growth of xenografts through miR-141-3p.
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Affiliation(s)
- Shiliang Dong
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Minrui Ma
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ming Li
- Department of Oncology, People's Hospital of Laibin, Laibin City, Guangxi Province, 546100, China
| | - Yuexin Guo
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Xiaoxiao Zuo
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Xiaobin Gu
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Mingzhi Zhang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Yonggang Shi
- Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
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Influence of CMTM8 polymorphisms on lung cancer susceptibility in the Chinese Han population. Pharmacogenet Genomics 2020; 31:89-95. [PMID: 33395025 DOI: 10.1097/fpc.0000000000000426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Lung cancer is the leading cause of cancer-related mortality worldwide and CMTM8 is a potential tumor suppressor gene, which is down-regulated in lung cancer. The objective of this research was to assess the association of CMTM8 genetic polymorphisms with lung cancer risk. METHODS To evaluate the correlation between CMTM8 polymorphisms and lung cancer risk, Agena MassArray platform was used for genotype determination among 509 lung cancer patients and 506 controls. Multiple genetic models, stratification analysis and Haploview analysis were used by calculating odds ratio (OR) and 95% confidence intervals (CIs). RESULTS Significant associations were detected between CMTM8 rs6771238 and an increased lung cancer risk in codominant (adjusted OR = 1.57, 95% CI: 1.01-2.42, P = 0.044) and dominant (adjusted OR = 1.54, 95% CI: 1.01-2.36, P = 0.047) models. After sex stratification analysis, we observed that rs6771238 was related to an increased risk of lung squamous cell carcinoma, while rs6771238 was associated with an increased risk of lung adenocarcinoma. Rs9835916 was linked to increased risk of lymph node metastasis in lung cancer patients. CONCLUSION Our study first reported that CMTM8 polymorphisms were a risk factor for lung cancer, which suggested the potential roles of CMTM8 in the development of lung cancer.
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Pan HY, Mi YY, Xu K, Zhang Z, Wu H, Zhang W, Yuan W, Shi L, Zhang LF, Zhu LJ, Zuo L. Association of C-reactive protein (CRP) rs1205 and rs2808630 variants and risk of cancer. J Cell Physiol 2020; 235:8571-8584. [PMID: 32329054 DOI: 10.1002/jcp.29701] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 03/28/2020] [Accepted: 03/31/2020] [Indexed: 01/08/2023]
Abstract
The correlation between rs1205, rs2808630 variants of C-reactive protein (CRP) gene and susceptibility of cancer has been assessed previously, but with conflicting results. We adopted odds ratios (ORs) with 95% confidence intervals (CIs), in silico tools and enzyme-linked immunosorbent assay (ELISA) analysis to evaluate this association. Totally, 10,614 cancer subjects and 33,294 controls were involved in the pooled analysis. When all the studies were pooled, no significant correlation was indicated between the two variants and cancer risk. However, in stratification analysis by ethnicity, we found that CRP rs1205 C>T polymorphism was associated with an elevated risk of cancer in Asians (T-allele vs. C-allele, OR = 1.20, 95% CI = 1.06-1.36, pheterogeneity = .226; TT vs. CC, OR = 1.48, 95% CI = 1.14-1.93, pheterogeneity = .089). Similar findings were observed for rs2808630 variant. In silico tools showed that lung adenocarcinoma participants with high CRP expression may have shorter overall survival time than low expression group. ELISA analysis indicated that CRP expression in prostate adenocarcinoma subjects with TT + TC genotypes was statistically higher than in those with CC genotypes. CRP rs1205 C>T and rs2808630 T>C polymorphism may be associated with cancer risk, especially for Asians.
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Affiliation(s)
- Hai-Yan Pan
- Department of Urology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yuan-Yuan Mi
- Department of Urology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Kai Xu
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - Ze Zhang
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - Hao Wu
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - Wei Zhang
- Department of Oncology, Taizhou People's Hospital, Taizhou, China
| | - Wei Yuan
- Department of Cardiology, Taizhou People's Hospital, Taizhou, China
| | - Li Shi
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - Li-Feng Zhang
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China
| | - Li-Jie Zhu
- Department of Urology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Li Zuo
- Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China
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Lu H, Yang Y, Chen X, Wu C, Zhao J, Feng Q, Zhou X, Xu D, Li Q, Niu H, He P, Liu J, Yao H, Ding Y. Influence of the CYP2J2 Gene Polymorphisms on Chronic Obstructive Pulmonary Disease Risk in the Chinese Han Population. Arch Bronconeumol 2020; 56:697-703. [PMID: 32224017 DOI: 10.1016/j.arbres.2019.11.026] [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: 10/14/2019] [Revised: 11/28/2019] [Accepted: 11/30/2019] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Cytochrome P450 (CYP) 2J2 is a major enzyme that controls epoxyeicosatrienoic acids biosynthesis, which may play a role in chronic obstructive pulmonary disease (COPD) development. In this study, we aimed to assess the influence of CYP2J2 polymorphisms with COPD susceptibility. MATERIAL AND METHODS A case-control study enrolled 313 COPD cases and 508 controls was to investigate the association between CYP2J2 polymorphisms and COPD risk. Agena MassARRAY platform was used to genotype CYP2J2 polymorphisms. Odds ratios (OR) and 95% confidence intervals (CI) were calculated to evaluate the association between CYP2J2 polymorphisms and COPD risk. RESULTS We observed rs11207535 (homozygote: OR=0.08, 95%CI=0.01-0.96, p=0.047; recessive: OR=0.08, 95%CI=0.01-0.94, p=0.044), rs10889159 (homozygote: OR=0.08, 95%CI=0.01-0.92, p=0.043; recessive: OR=0.08, 95%CI=0.01-0.90, p=0.040) and rs1155002 (heterozygote: OR=1.63, 95%CI=1.13-2.36, p=0.009; dominant: OR=1.64, 95%CI=1.15-2.35, p=0.006; additive: OR=1.45, 95%CI=1.09-1.92, p=0.011) were significantly associated with COPD risk. Allelic tests showed T allele of rs2280274 was related to a decreased risk of COPD and T allele of rs1155002 was associated with an increased COPD risk. Stratified analyses indicated the effects of CYP2J2 polymorphisms and COPD risk were dependent on gender and smoking status (p<0.05). Additionally, two haplotypes (Ars11207535Crs10889159Trs1155002 and Ars11207535Crs10889159Crs1155002) significantly decreased COPD risk. CONCLUSION It suggested CYP2J2 polymorphisms were associated with COPD susceptibility in the Chinese Han population.
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Affiliation(s)
- Hui Lu
- Hainan Provincial Key Laboratory for Human Reproductive Medicine and Genetic Research, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 570102, Hainan, China
| | - Yixiu Yang
- Department of General Practice, Hainan General Hospital, Haikou 570311, Hainan, China
| | - Xianghong Chen
- Department of General Practice, The Second Affiliated Hospital of Hainan Medical University, Haikou 570311, Hainan, China
| | - Cibing Wu
- Hainan General Hospital, University of South China, Haikou 570311, Hainan, China
| | - Jie Zhao
- Hainan General Hospital, University of South China, Haikou 570311, Hainan, China
| | - Qiong Feng
- Hainan General Hospital, University of South China, Haikou 570311, Hainan, China
| | - Xiaoli Zhou
- Department of General Practice, Hainan General Hospital, Haikou 570311, Hainan, China
| | - Dongchuan Xu
- Department of Emergency, Hainan General Hospital, Haikou 570311, Hainan, China
| | - Quanni Li
- Department of General Practice, Hainan General Hospital, Haikou 570311, Hainan, China
| | - Huan Niu
- Department of Emergency, Hainan General Hospital, Haikou 570311, Hainan, China
| | - Ping He
- Department of Emergency, Hainan General Hospital, Haikou 570311, Hainan, China
| | - Jianfang Liu
- Hainan General Hospital, University of South China, Haikou 570311, Hainan, China
| | - Hongxia Yao
- Department of General Practice, Hainan General Hospital, Haikou 570311, Hainan, China
| | - Yipeng Ding
- Department of General Practice, Hainan General Hospital, Haikou 570311, Hainan, China.
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Tao C, Luo R, Song J, Zhang W, Ran L. A seven‐DNA methylation signature as a novel prognostic biomarker in breast cancer. J Cell Biochem 2019; 121:2385-2393. [DOI: 10.1002/jcb.29461] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 10/08/2019] [Indexed: 12/24/2022]
Affiliation(s)
- Chuntao Tao
- Department of Bioinformatics Chongqing Medical University Chongqing China
| | - Ruihan Luo
- Department of Bioinformatics Chongqing Medical University Chongqing China
| | - Jing Song
- Department of Bioinformatics Chongqing Medical University Chongqing China
| | - Wanfeng Zhang
- Department of Bioinformatics Chongqing Medical University Chongqing China
| | - Longke Ran
- Department of Bioinformatics Chongqing Medical University Chongqing China
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Yao S, Huang HY, Han X, Ye Y, Qin Z, Zhao G, Li F, Hu G, Hu L, Ji H. Keratin 14-high subpopulation mediates lung cancer metastasis potentially through Gkn1 upregulation. Oncogene 2019; 38:6354-6369. [PMID: 31320708 DOI: 10.1038/s41388-019-0889-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 04/19/2019] [Accepted: 05/03/2019] [Indexed: 02/06/2023]
Abstract
Metastasis is the leading cause of lung cancer-related death. Elucidating the metastasis process can provide new avenues to inhibit this malignant behavior of cancer cells. Here we found that human lung cancers with high Keratin 14 (K14) expression were associated with nodal metastasis and poor survival. Using the KrasG12D/Trp53L/L lung cancer mouse model, we confirmed that K14-high cancer cells harbored increased metastatic potential. Mechanistic investigation revealed that Gastrokine 1 (Gkn1) expression positively correlated with K14 level, cancer metastasis, and poor patient survival. Importantly, ectopic expression of Gkn1 enhanced the metastatic capability of K14-low cells in vitro and in vivo, whereas knockdown of Gkn1 did the opposite, indicating the importance of Gkn1 in mediating the metastasis of K14-high cells. Further study demonstrated that Gkn1 expression conferred K14-high cells resistance to anoikis, which is critical for cancer metastasis. Collectively, our findings demonstrate that K14-high cells contribute to lung cancer metastasis potentially through inhibition of anoikis via upregulation of Gkn1.
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Affiliation(s)
- Shun Yao
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Hsin-Yi Huang
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China
| | - Xiangkun Han
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China
| | - Yi Ye
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,School of Life Science and Technology, Shanghai Tech University, 200120, Shanghai, China
| | - Zhen Qin
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Gaoxiang Zhao
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China
| | - Fuming Li
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China
| | - Guohong Hu
- The Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences & Shanghai Jiao Tong University School of Medicine, 200031, Shanghai, China
| | - Liang Hu
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China. .,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China. .,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China.
| | - Hongbin Ji
- State Key Laboratory of Cell Biology. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China. .,Innovation Center for Cell Signaling Network. Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China. .,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, 200031, Shanghai, China. .,University of Chinese Academy of Sciences, 100049, Beijing, China. .,School of Life Science and Technology, Shanghai Tech University, 200120, Shanghai, China.
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9
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Wang C, Zhang C, Xu J, Li Y, Wang J, Liu H, Liu Y, Chen Z, Lin H. Association between IL-1R2 polymorphisms and lung cancer risk in the Chinese Han population: A case-control study. Mol Genet Genomic Med 2019; 7:e644. [PMID: 30895747 PMCID: PMC6503014 DOI: 10.1002/mgg3.644] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 02/20/2019] [Accepted: 02/26/2019] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Interleukin-1 receptor 2 (IL-1R2), as an anti-inflammatory cytokine, is involved in the pathogenesis and progression of lung cancer. However, the role of IL-1R2 polymorphisms in patients with lung cancer has yet to be fully elucidated. METHODS Six single-nucleotide polymorphisms (SNPs) in IL-1R2 were genotyped in 259 patients and 346 healthy controls. We used the chi-squared test, genetic model analysis, Haploview analysis, and multifactor dimensionality reduction (MDR) to evaluate the potential association between IL-1R2 polymorphisms and lung cancer susceptibility. Bioinformatics analyses were conducted to analyze the expression level of IL-1R2 and its association with the overall survival of lung cancer. RESULTS Our results found that rs3218977-GG was associated with a decreased risk of lung cancer (odds ratio [OR] = 0.39; 95% confidence interval [CI]: 0.17-0.87; p = 0.023), and rs2072472 had a significant risk-increasing effect in the dominant model (AG + GG vs. AA: OR = 1.54; 95% CI: 1.09-2.20; p = 0.015). The MDR model also revealed that rs2072472 is the most influential risk factor of lung cancer (testing accuracy = 0.543; cross-validation consistency = 10/10; p = 0.032). In addition, our results indicated that the IL-1R2 mRNA level was downregulated in lung cancer patients, whereas the high expression of IL-1R2 was related to a poor prognosis in lung cancer. CONCLUSIONS Our results suggest that genetic variants of IL-1R2 may play a role in lung cancer susceptibility. Further population and functional validations of our findings are warranted.
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Affiliation(s)
- Chaoying Wang
- Department of Medical Oncology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Chengsheng Zhang
- Department of Medical Oncology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Junnv Xu
- Department of Medical Oncology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yongfu Li
- Department of Medical Oncology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jie Wang
- Department of Nursing, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Hui Liu
- Department of Anatomy, Hainan Medical University, Haikou, China
| | - Yueli Liu
- Department of Pharmacology, Hainan Medical University, Haikou, China
| | - Zhong Chen
- Hainan Provincial Third People's Hospital, Sanya, China
| | - Haifeng Lin
- Department of Medical Oncology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
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10
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The Impact of IL-16 3'UTR Polymorphism rs859 on Lung Carcinoma Susceptibility among Chinese Han Individuals. BIOMED RESEARCH INTERNATIONAL 2018; 2018:8305745. [PMID: 30671474 PMCID: PMC6323476 DOI: 10.1155/2018/8305745] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 11/29/2018] [Accepted: 12/04/2018] [Indexed: 12/20/2022]
Abstract
Lung carcinoma is the most common cancer and cause of cancer deaths among both males and females in China. Previously, genetic variants located in gene untranslated region have been well established as interfering factors in mRNA translation and confirmed playing critical roles in lung oncogenesis. However, the correlation between polymorphisms in gene 3′ untranslated region and lung cancer risk is less reported in China Han population. In this study, polymorphisms in 3′-untranslated region of IL-16, CYP24A1, and FBN1 were determined in 322 lung cancer patients and 384 healthy controls with the usage of Sequenom MassARRAY. The correlation between selected variants and lung cancer risk was examined by unconditional logistic regression analysis with or without adjustments for age, gender, smoking status, and alcohol drinking status. Additionally, stratification analysis was applied to detect the associations of SNPs with lung cancer in different subgroups. As the results, significant relationships were found between IL-16 rs859 and lung cancer susceptibility in recessive model (OR= 0.65, 95% CI: 0.44-0.96, P= 0.029) and log-additive model (OR= 0.76, 95% CI: 0.60-0.96, P= 0.019). Moreover, adjusted stratified analysis also revealed the important effects of IL-16 rs859 on lung cancer risk among individuals aged older than 50, males, and nondrinkers. IL-16 rs859 showed statistically significant evidence associated with susceptibility to lung adenocarcinoma and lung small cell carcinoma in Chinese Han population as well. Our research demonstrated that genetic variant rs859 of IL-16 3′UTR was associated with lung cancer risk in Chinese Han population and the result might be exploited as a new biomarker for lung cancer assessment and prevention.
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Götte M, Kovalszky I. Extracellular matrix functions in lung cancer. Matrix Biol 2018; 73:105-121. [DOI: 10.1016/j.matbio.2018.02.018] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 02/08/2018] [Accepted: 02/22/2018] [Indexed: 02/07/2023]
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Genetic polymorphisms of ALDH2 are associated with lumbar disc herniation in a Chinese Han population. Sci Rep 2018; 8:13079. [PMID: 30166580 PMCID: PMC6117275 DOI: 10.1038/s41598-018-31491-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 08/01/2018] [Indexed: 11/10/2022] Open
Abstract
Aldehyde dehydrogenase (ALDH) is a key enzyme for the catalytic oxidation of acetaldehyde to acetic acid. Genetic polymorphisms of ALDH2 have been associated with a wide range of diseases and cancers. However, little information is found about the association between ALDH2 polymorphisms and lumbar disc herniation (LDH) in Chinese Han population. We investigated the association between single nucleotide polymorphisms (SNPs) in ALDH2 and LDH risk in a case–control study that included 380 LDH cases and 692 healthy controls. Eight SNPs were selected and genotyped using the Sequenom MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression after adjusting for gender and age. In the allele model analysis, we found the frequency of the “A” allele of rs671 was significantly higher in LDH cases than in controls (OR = 1.414, 95%CI: 1.109–1.803, P = 0.005). In the genetic model analysis, we found the minor allele “A” of rs671 was associated with increased risk of LDH under log-additive model (OR = 1.42, 95%CI: 1.11–1.82, P = 0.0062); and the minor allele “C” of rs7296651 was associated with decreased risk of LDH under over-dominant model (OR = 0.72, 95%CI: 0.53–0.97, P = 0.031). Additionally, the haplotype “GGCTCACG” constructed by rs886205, rs2238152, rs4648328, rs441, rs4646778, rs671, rs11066028, and rs7296651 was associated with increased risk of LDH (OR = 1.45; 95% CI = 1.11–1.90; P = 0.0071). Our data shed new light on the association between genetic polymorphisms of ALDH2 and LDH susceptibility in a Chinese Han population.
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Liu C, Jin P, Luo Y, Xu J, Kong C, Chen J, Xie H, Zhou G. Association of Single-Nucleotide Polymorphisms of C-Reactive Protein Gene with Susceptibility to Infantile Sepsis in Southern China. Med Sci Monit 2018; 24:590-595. [PMID: 29379005 PMCID: PMC5800323 DOI: 10.12659/msm.908602] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND C-reactive protein (CRP) is an important biomarker of sepsis. Several single-nucleotide polymorphisms (SNPs) in the CRP gene can determine plasma CRP levels and are risk factors in many diseases, such as cancer, arteritis, and diabetes. However, it is unknown whether polymorphisms in CRP are associated with susceptibility to and outcome of infantile sepsis. We explored the effect of these SNPs on CRP response in infantile sepsis, and compared genetic data on patients with sepsis. MATERIAL AND METHODS A total of 49 infants with sepsis and 20 healthy infants were enrolled during hospitalization, and 3 SNPs in the CRP gene region (rs1205, rs2808530, and rs3091244) were genotyped and then analyzed for associations with CRP levels and sepsis. RESULTS The CRP means concentration results showed that mean CRP concentration was different in the 4 groups (healthy, sepsis, severe sepsis, and septic shock) and was positively correlated with the severity of infantile sepsis. There was also a difference in CRP SNP rs1205 between infants with septic shock and healthy infants, and between infants with septic shock and infants with sepsis. No differences were observed in SNP rs2808630 and SNP rs3091244. CONCLUSIONS Our study suggests that rs1205 genetic variability in the CRP gene determines the CRP levels in sepsis of different severities, while SNP rs3091244 and SNP rs2808630 are not associated with sepsis. However, the results of the present study on SNP rs1205, rs3091244, and rs2808630 in the CRP gene should be interpreted with caution due to limited sample size and sample heterogeneity. Large-scale, well-designed studies are needed to validate our findings.
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Affiliation(s)
- Chunyi Liu
- Department of Pediatrics, Shenzhen Baoan District Maternity and Child Care Service Centre, Shenzhen, Guangdong, China (mainland)
| | - Ping Jin
- Department of Pediatrics, Shenzhen Baoan District Maternity and Child Care Service Centre, Shenzhen, Guangdong, China (mainland)
| | - Yong Luo
- Department of Pediatrics, Shenzhen Baoan District Maternity and Child Care Service Centre, Shenzhen, Guangdong, China (mainland)
| | - Jinji Xu
- Department of Pediatrics, Shenzhen Baoan District Maternity and Child Care Service Centre, Shenzhen, Guangdong, China (mainland)
| | - Chengxiang Kong
- Department of Pediatrics, Shenzhen Baoan District Maternity and Child Care Service Centre, Shenzhen, Guangdong, China (mainland)
| | - Juan Chen
- Department of Pediatrics, Shenzhen Baoan District Maternity and Child Care Service Centre, Shenzhen, Guangdong, China (mainland)
| | - Hongbo Xie
- Department of Pediatrics, Shenzhen Baoan District Maternity and Child Care Service Centre, Shenzhen, Guangdong, China (mainland)
| | - Gang Zhou
- Department of Pediatrics, Shenzhen Baoan District Maternity and Child Care Service Centre, Shenzhen, Guangdong, China (mainland)
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Ye G, Tan N, Meng C, Li J, Jing L, Yan M, Jin T, Chen F. Genetic variations in TERC and TERT genes are associated with lung cancer risk in a Chinese Han population. Oncotarget 2017; 8:110145-110152. [PMID: 29299136 PMCID: PMC5746371 DOI: 10.18632/oncotarget.22329] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 09/05/2017] [Indexed: 11/29/2022] Open
Abstract
The study was aimed to explore whether the TERT and TERC polymorphisms are associated with the lung cancer risk. Five TERC and TERT polymorphisms were genotyped from 554 lung cancer patients and 603 healthy controls. We used χ2 test, genetic model, linkage disequilibrium (LD) and haplotype analyses to evaluate the association between the polymorphisms and lung cancer risk. We found that the allele “C” of rs10936599 (TERC) and the allele “T” of rs10069690 (TERT) were associated with increased risk of lung cancer (OR = 1.32, 95% CI: 1.12-1.55, P = 0.001; OR = 1.41, 95% CI: 1.14-1.76, P = 0.002, respectively). The genotype of “CC” of rs10936599, genotype “CT” of rs10069690 and genotype “GG and “AG” of rs2853677 were also associated with increased the risk of lung cancer. In addition, rs10936599 under the dominant, recessive and log-additive models; rs10069690 under the dominant, overdominant and log-additive models; rs2853677 under the dominant and log-additive models were found to be associated with increased lung cancer risk. The SNP rs2242652 was found to be associated with an increased lung cancer risk under the dominant and overdominant models without adjustment. The haplotype “TA” of TERT was also associated with an increased risk of lung cancer. Our study indicated that rs10936599 (TERC) and rs10069690, rs2242652 and rs2853677 in TERT and haplotype “TA” of TERT were revealed as risk factors of lung cancer in a Chinese Han population. However, it required to verify our result and investigate the function genetic variants and mechanism of lung cancer.
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Affiliation(s)
- Gang Ye
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang 832008, P. R. China
| | - Nan Tan
- Department of Cadre's Ward, Xi'an No.1 Hospital, Xi'an, Shaanxi 710002, China
| | - Chenyang Meng
- Graduate School of Inner Mongolia Medical University, Hohhot, Inner Mongolia 010050, China
| | - Jingjie Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Li Jing
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Mengdan Yan
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,Xi'an Tianqin Precision Medical Institute, Xi'an, Shaanxi 710075, China
| | - Fulin Chen
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
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