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.
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.