Molecular Study of the Poly (ADP-ribose) Polymerase-1 Gene as a Promotor of Inflammation-Driven Colorectal Carcinoma.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Eman Hamdey Hamed Aziz, Alshimaa Magdy, Moustafa Abo Zaid, Raymonde Hanna Assaf
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引用次数: 0

Abstract

Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer-related deaths worldwide. Chronic inflammation is a risk factor for various cancers, including CRC. However, the specific mechanisms by which inflammation contributes to cancer development are not fully understood. Our study assessed PARP1 and NF-κB mRNA expression in different stages of CRC, aiming to elucidate their roles in inflammation-driven CRC pathogenesis and define their stage-specific expression patterns. The study involved 35 CRC tissue samples and a control group of 25 samples from the healthy margins of colon cancer. PARP1 and NF-κB mRNA levels were determined by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in tumor tissue samples, as well as the adjacent part of normal tissue. Our results revealed that PARP1 and NF-κB/p50 gene expression was significantly higher in CRC vs. control. Furthermore, there was a positive correlation between PARP1 and NF-κB/p50 mRNA expression levels. PARP1 was found to be responsible for 14.5% of the change in NF-κB/p50. Both PARP1 and NF-κB/p50 had high accuracy in the diagnosis of CRC with AUC = 0.905 and 0.956, respectively. This study revealed the overexpression of PARP1 and NF-κB genes in CRC cases, which suggests that the use of PARP1 inhibitors and anti-inflammatory drugs could be effective in CRC treatment. PARP1/NF-κB showed preliminary associations with CRC that merit diagnostic evaluation in larger studies. Our data suggest that PARP1 and NF-κB expression may complement CEA in characterizing CRC biology though future studies must determine whether these markers have independent prognostic value.

Poly (adp -核糖)聚合酶-1基因作为炎症驱动的结直肠癌启动子的分子研究。
结直肠癌(CRC)是全球第三大常见癌症,也是导致癌症相关死亡的第二大原因。慢性炎症是多种癌症的危险因素,包括结直肠癌。然而,炎症导致癌症发展的具体机制尚不完全清楚。我们的研究评估了PARP1和NF-κB mRNA在结直肠癌不同阶段的表达,旨在阐明它们在炎症驱动的结直肠癌发病机制中的作用,并确定它们的分期特异性表达模式。该研究涉及35个结直肠癌组织样本和25个来自结肠癌健康边缘的对照组样本。采用逆转录-定量聚合酶链反应(RT-qPCR)检测肿瘤组织样本及邻近正常组织中PARP1和NF-κB mRNA水平。我们的研究结果显示,PARP1和NF-κB/p50基因在结直肠癌中的表达明显高于对照组。此外,PARP1与NF-κB/p50 mRNA表达水平呈正相关。发现PARP1对NF-κB/p50的变化负责14.5%。PARP1和NF-κB/p50对结直肠癌的诊断准确率较高,AUC分别为0.905和0.956。本研究揭示了PARP1和NF-κB基因在结直肠癌病例中的过表达,提示使用PARP1抑制剂和抗炎药物可有效治疗结直肠癌。PARP1/NF-κB显示与结直肠癌的初步关联,值得在更大规模的研究中进行诊断评估。我们的数据表明,PARP1和NF-κB的表达可能补充了CEA在CRC生物学特征中的作用,但未来的研究必须确定这些标志物是否具有独立的预后价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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