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Ma Y, Zhou Y, Zhang H, Su X. Immune Response-Related Genes - STAT4, IL8RA and CCR7 Polymorphisms in Lung Cancer: A Case-Control Study in China. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2020; 13:511-519. [PMID: 33116765 PMCID: PMC7585862 DOI: 10.2147/pgpm.s271983] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 09/22/2020] [Indexed: 12/24/2022]
Abstract
Purpose This study aimed to evaluate the associations between immune response-related genes – STAT4, IL8RA and CCR7 polymorphisms and risk of lung cancer. Methods Seven polymorphisms of STAT4, IL8RA and CCR7 were genotyped in 350 cases and 350 controls using a MassARRAY platform. Results The STAT4 rs1400656-G and rs7574865-T alleles may decrease the susceptibility to lung cancer (prs1400656= 0.020; prs7574865= 0.014); while IL8RA rs1008562-C and CCR7 rs3136685-T alleles may increase the risk of disease (prs1008562< 0.001; prs3136685= 0.018). The STAT4 rs1400656-GA and rs7574865-GT genotypes were determined as protective genotypes against lung cancer risk (prs1400656= 0.048; prs7574865= 0.042). However, IL8RA rs1008562-CG/GG and CCR7 rs3136685-TT genotypes were significantly associated with an elevated risk of disease (prs1008562< 0.0001; prs3136685= 0.020). Genetic model analysis revealed that STAT4 rs1400656 and rs7574865 were relate to a declining risk of disease under dominant and log-additive models (rs1400656: pdominant = 0.014, plog-additive= 0.016; rs7574865: pdominant = 0.013, plog-additive= 0.013). In contrast, IL8RA rs1008562 exhibited a strong correlation with an elevated risk of lung cancer under all three models (pdominant < 0.0001, precessive = 0.011, plog-additive< 0.0001). Moreover, CCR7 rs3136685 was correlated with an increased risk of disease under recessive and log-additive models (precessive = 0.007, plog-additive= 0.019); and CCR7 rs17708087 was also identified as a risk factor in the dominant model (p = 0.038). Conclusion These results widen the scope of knowledge about the association between STAT4, IL8RA and CCR7 polymorphisms and risk of lung cancer.
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Affiliation(s)
- Yunfan Ma
- Department of Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, People's Republic of China
| | - Yinxi Zhou
- Department of Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, People's Republic of China
| | - Huixin Zhang
- Department of Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, People's Republic of China
| | - Xiaoan Su
- Department of Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, People's Republic of China
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Guo Q, Xu L, Peng R, Ma Y, Wang Y, Chong F, Song M, Dai L, Song C. Characterization of lncRNA LINC00520 and functional polymorphisms associated with breast cancer susceptibility in Chinese Han population. Cancer Med 2020; 9:2252-2268. [PMID: 31997582 PMCID: PMC7064040 DOI: 10.1002/cam4.2893] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 01/17/2020] [Accepted: 01/17/2020] [Indexed: 12/24/2022] Open
Abstract
Background The aim was to evaluate the association between the LINC00520 genetic polymorphisms and breast cancer (BC) susceptibility. Methods Nine single‐nucleotide polymorphisms (SNPs) on LINC00520 genotyping were performed in 504 BC patients and 505 cancer‐free controls in Chinese Han population to study the relationship between LINC00520 polymorphism and BC susceptibility. qRT‐PCR and luciferase tests were used to explore how rs12880540 affected the expression of LINC00520. Results The genotype GG (OR:3.58, 95%CI:1.32‐9.69) in rs8012083 increased the risk of triple‐negative BC. The genotype GG (OR:0.31, 95%CI:0.14‐0.69) in rs8012083, the genotype AA (OR:2.74, 95%CI:1.01‐7.42) in rs2152275, and genotype TG (OR:1.62, 95%CI:1.04‐2.52) in rs12880540 were associated with HER‐2 status. The dominant (OR:0.65, 95%CI:0.45‐0.95) and overdominant genetic model (OR:0.67, 95%CI:0.46‐0.98) consistently showed that rs11622641 T was significantly associated with lower risk of BC. Similarly, the recessive genetic model (OR:1.57, 95%CI:1.07‐2.30) of rs12880540 and the dominant (OR:1.62, 95%CI:1.24‐2.11) and overdominant (OR:1.56, 95%CI:1.19‐2.03) genetic model of rs2152278 may increase the risk of BC. The relative expression of LINC00520 increased linearly with the increase in the number of rs12880540 mutations. rs12880540 alleles were due to the interaction between LINC00520 and miR‐3122 at T, but the mutation of rs12880540 G > T had no effect on the binding ability of LINC00520 and miR‐3122. Conclusion A genetic variant of rs8012083 in LINC00520 may be used as a biomarker for triple‐negative BC after further evaluation of diagnostic tests. The genetic variant of LINC00520 was related to the susceptibility of BC, and rs12880540 might affect the corresponding mRNA expression of lncRNA LINC00520.
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Affiliation(s)
- Qiaoyun Guo
- Department for Endemic Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan, PR China.,Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.,Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, Henan, PR China
| | - Linping Xu
- Department of Teaching and Research, Henan Tumor Hospital, Zhengzhou, Henan, PR China
| | - Rui Peng
- Department of Teaching and Research, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yan Ma
- Henan Luoyang Orthopedic Hospital (Henan Provincial Orthopedic Hospital), Zhengzhou, China.,Henan Provincial Orthopedic Institute, Zhengzhou, China
| | - Yanli Wang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.,Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, Henan, PR China
| | - Feifei Chong
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.,Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, Henan, PR China
| | - Mengmeng Song
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.,Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, Henan, PR China
| | - Liping Dai
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.,Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, Henan, PR China
| | - Chunhua Song
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.,Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, Henan, PR China
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