Department of Biotechnology, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan.
Center for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Afr Health Sci. 2020 Sep;20(3):1273-1282. doi: 10.4314/ahs.v20i3.32.
Pakistan has a high incidence of breast cancer in Asia, where annually 16,232 deaths are reported. There are many exogenous and endogenous risk factors that affect the tumor suppressor genes and oncogenes. The p53 gene is a tumor suppressor gene and it has a role to protect the whole genome from external and internal stresses, which causes damages to the genome.
The aim of the current study was to investigate the p53 gene expression by using the real-time PCR technique in different grades of breast cancer as compared to the normal tissue.
Fresh Modified Radical Mastectomy (MRM) samples (grade1-grade3) were collected from different hospitals of the Lahore. The project was approved by an ethical review committee of Jinnah Hospital, Lahore. And before sampling an informed consent was obtained from patients and clinicians. RNA from fresh biopsies was extracted by Qiagen extraction kit and cDNA was formed. Real time PCR performed by using SYBR green master mix (ABI) and the data was evaluated by using Livak method. Statistical analysis was done by using Microsoft Excel.
There was an abnormal gene expression of p53 in all grades of the breast tumors. Non-significant (p>0.05) difference of down and up regulation of p53 in different grades of breast tumor was found. However, as a whole up-regulation was more than down-regulation with significant difference (p<0.0011).
The abnormal expression of p53 shows that there are some genetic and epigenetic factors which are the primal cause of an abnormal gene expression. It is recommended that perform next generation sequencing (NGS) of the gene to find out the mutations causing the abnormal behavior of p53 gene.
在亚洲,巴基斯坦的乳腺癌发病率很高,据报道,每年有 16232 人死亡。有许多外源性和内源性的危险因素会影响肿瘤抑制基因和癌基因。p53 基因是一种肿瘤抑制基因,它的作用是保护整个基因组免受内外应激的影响,从而导致基因组受损。
本研究旨在通过实时 PCR 技术检测不同分级乳腺癌组织中 p53 基因的表达情况。
从不同医院采集改良根治性乳房切除术(MRM)新鲜样本(1 级-3 级)。该项目得到了拉合尔真纳医院伦理审查委员会的批准,并在采样前获得了患者和临床医生的知情同意。Qiagen 提取试剂盒提取新鲜活检组织中的 RNA,并形成 cDNA。使用 SYBR green 主混合物(ABI)进行实时 PCR,通过 Livak 法评估数据。使用 Microsoft Excel 进行统计分析。
所有乳腺癌肿瘤分级中均存在 p53 基因异常表达。未发现不同分级乳腺癌肿瘤中 p53 下调和上调的差异无统计学意义(p>0.05)。然而,总体上上调的比例高于下调,差异有统计学意义(p<0.0011)。
p53 的异常表达表明存在一些遗传和表观遗传因素,这些因素是异常基因表达的主要原因。建议对基因进行下一代测序(NGS),以发现导致 p53 基因异常行为的突变。