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TP53和PAI-1基因多态性在乳腺癌易感性中的联合基因型效应:多因素降维和计算机模拟分析

Combined Genotype Effects of TP53 and PAI-1 Polymorphisms in Breast Cancer Susceptibility: Multifactor Dimensionality Reduction and in silico Analysis.

作者信息

Pouladi Nasser, Shavali Mojtaba, Abdolahi Sepehr

机构信息

Department of Biology, Faculty of Science, Azarbaijan Shahid Madani University, Tabriz, Iran,

Department of Biology, Faculty of Science, Azarbaijan Shahid Madani University, Tabriz, Iran.

出版信息

Hum Hered. 2020;85(2):51-60. doi: 10.1159/000514398. Epub 2021 Mar 18.

Abstract

INTRODUCTION

Breast cancer is a heterogeneous and multifactorial disease. TP53 and PAI-1 as important tumor suppressor genes are involved in the development, invasion, and metastasis of many cancers. This study's objective was to demonstrate the combined genotype effects of these 2 genes by investigating their single nucleotide polymorphisms.

METHODS

In this case-control study, 200 individuals with breast cancer and 179 healthy individuals were studied. The genotypes were determined using the tetra-ARMS method. For data analysis, MDR, online javstat statistics package, and SPSS v.24 software were used. Also, in silico studies on the estimated effects of each of these polymorphisms were performed.

RESULTS

We showed a novel gene-gene interaction of these 2 genes and demonstrated a strong synergistic interaction for TP53/PAI-1, moderate synergistic interaction for PAI-1/age, and correlation for TP53/age. On the other hand, there was no association between the allelic and genotype frequency alone and in combination, with case-control status, using the parametric method, between TP53 and PAI-1.

DISCUSSION/CONCLUSION: Our findings suggest that the polymorphism of codon 72 of the TP53 gene was significantly associated with tumor stage (p < 0.023). In conclusion, we showed a gene-gene interaction between TP53 and PAI-1, in combination, using the MDR method.

摘要

引言

乳腺癌是一种异质性多因素疾病。TP53和PAI - 1作为重要的肿瘤抑制基因,参与了许多癌症的发生、侵袭和转移。本研究的目的是通过研究这两个基因的单核苷酸多态性来证明它们的联合基因型效应。

方法

在这项病例对照研究中,对200例乳腺癌患者和179例健康个体进行了研究。使用四引物扩增受阻突变系统(tetra - ARMS)方法确定基因型。数据分析使用多因素降维法(MDR)、在线javstat统计软件包和SPSS v.24软件。此外,还对这些多态性各自的估计效应进行了计算机模拟研究。

结果

我们发现了这两个基因之间一种新的基因 - 基因相互作用,证明TP53/PAI - 1存在强协同相互作用,PAI - 1/年龄存在中度协同相互作用,TP53/年龄存在相关性。另一方面,使用参数方法,TP53和PAI - 1的等位基因频率和基因型频率单独及联合起来与病例对照状态之间均无关联。

讨论/结论:我们的研究结果表明,TP53基因第72位密码子的多态性与肿瘤分期显著相关(p < 0.023)。总之,我们使用多因素降维法证明了TP53和PAI - 1之间存在基因 - 基因相互作用。

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