Genetic polymorphisms of MRPS30-DT and NINJ2 may influence lung cancer risk

Author:

Yan Shouchun1,Wu Shouzhen1,Wu Jia2,Zhang Qinlu3,He Yongjun4,Jiang Chao5,Jin Tianbo67

Affiliation:

1. Department of Emergency Medicine, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine , Xianyang 712000, Shaanxi Province , China

2. School of Nursing, Shaanxi University of Chinese Medicine , Xianyang 712046, Shaanxi Province , China

3. Department of Respiratory Medicine, The First Affiliated Hospital of Xi’an Jiaotong University , Xi’an 710061, Shaanxi Province , China

4. Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University , Xianyang 712082, Shaanxi Province , China

5. The Third Department of Neurology, The Second Affiliated Hospital of Xi’an Medical University , Xi’an 710038, Shaanxi Province , China

6. Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University , No. 6, Wenhui East Road , Xianyang 712082, Shaanxi Province , China

7. Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University , Xi’an 710069, Shaanxi Province , China

Abstract

Abstract Lung cancer is one of the malignant tumors, and genetic background is a risk factor in lung cancer that cannot be neglected. In this study, we aimed to find out the effect of MRPS30-DT and NINJ2 variants on lung cancer risk. In this study, the seven selected single-nucleotide polymorphisms (SNPs) of MRPS30-DT and NINJ2 were genotyped in 509 lung cancer patients and 501 healthy controls based on the Agena MassARRAY platform. Odds ratios and 95% confidence intervals were calculated by logistic regression analysis to evaluate association between gene polymorphisms and lung cancer risk. False-positive report probability was also used to assess false-positive results. Furthermore, the interaction between SNPs was analyzed by multifactor dimensionality reduction to predict lung cancer risk. We identified the genotype TA of rs16901963 (T < A) in MRPS30-DT as a protective factor against lung cancer, while rs16901963-TT was significantly associated with an increased risk of lung cancer. We also revealed that the effect of MRPS30-DT and NINJ2 variants on the risk of lung cancer was dependent on age, gender, smoking, and drinking status. In conclusion, this study first proved that MRPS30-DT and NINJ2 variants played important roles in affecting the susceptibility to lung cancer.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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