Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Centre, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, P.O. Box: 19857-17411, Tehran, Iran.
Department of Bioinformatics, Kish International Campus University of Tehran, Kish, Iran.
Clin Exp Med. 2024 Nov 1;24(1):251. doi: 10.1007/s10238-024-01512-y.
Colorectal cancer is a leading cause of global mortality and presents a significant barrier to improving life expectancy. The primary objective of this study was to discern a unique differentially expressed gene (DEG) that exhibits a strong association with colorectal cancer. By achieving this goal, the research aims to contribute valuable insights to the field of translational medicine. We performed analysis of colorectal cancer microarray and the TCGA colon adenoma carcinoma (COAD) datasets to identify DEGs associated with COAD and common DEGs were selected. Furthermore, a pan-cancer analysis encompassing 33 different cancer types was performed to identify differential genes significantly expressed only in COAD. Then, comprehensively in-silico analysis including gene set enrichment analysis, constructing Protein-Protein interaction, co-expression, and competing endogenous RNA (ceRNA) networks, investigating the correlation between tumor-immune signatures in distinct tumor microenvironment and also the potential interactions between the identified gene and various drugs was executed. Further, the candidate gene was experimentally validated in tumoral colorectal tissues and colorectal adenomatous polyps by qRael-Time PCR. GUCA2A emerged as a significant DEG specific to colorectal cancer (|log2FC|> 1 and adjusted q-value < 0.05). Importantly, GUCA2A exhibited excellent diagnostic performance for COAD, with a 99.6% and 78% area under the curve (AUC) based on TCGA-COAD and colon cancer patients. In addition, GUCA2A expression in adenomatous polyps equal to or larger than 5 mm was significantly lower compared to smaller than 5 mm. Moreover, low expression of GUCA2A significantly impacted overall patient survival. Significant correlations were observed between tumor-immune signatures and GUCA2A expression. The ceRNA constructed included GUCA2A, 8 shared miRNAs, and 61 circRNAs. This study identifies GUCA2A as a promising prognostic and diagnostic biomarker for colorectal cancer. Further investigations are warranted to explore the potential of GUCA2A as a therapeutic biomarker.
结直肠癌是全球死亡率的主要原因,也是提高预期寿命的重大障碍。本研究的主要目的是发现一种与结直肠癌密切相关的独特差异表达基因(DEG)。通过实现这一目标,研究旨在为转化医学领域做出有价值的贡献。我们对结直肠癌微阵列和 TCGA 结肠腺瘤癌(COAD)数据集进行了分析,以鉴定与 COAD 相关的 DEG,并选择了常见的 DEG。此外,我们进行了泛癌症分析,涵盖了 33 种不同的癌症类型,以鉴定仅在 COAD 中显著表达的差异基因。然后,我们进行了全面的计算机分析,包括基因集富集分析、构建蛋白质-蛋白质相互作用、共表达和竞争内源性 RNA(ceRNA)网络,研究了不同肿瘤微环境中肿瘤免疫特征之间的相关性,以及鉴定基因与各种药物之间的潜在相互作用。此外,我们还通过 qRael-Time PCR 在肿瘤结直肠组织和结直肠腺瘤性息肉中对候选基因进行了实验验证。GUCA2A 是一种特定于结直肠癌的显著差异表达基因(|log2FC|>1 和调整后的 q 值<0.05)。重要的是,GUCA2A 对 COAD 的诊断性能优异,基于 TCGA-COAD 和结肠癌患者的曲线下面积(AUC)分别为 99.6%和 78%。此外,直径等于或大于 5mm 的腺瘤性息肉中的 GUCA2A 表达明显低于直径小于 5mm 的息肉。此外,GUCA2A 的低表达显著影响患者的总生存。肿瘤免疫特征与 GUCA2A 表达之间存在显著相关性。构建的 ceRNA 包括 GUCA2A、8 个共享 miRNA 和 61 个 circRNA。本研究确定 GUCA2A 是结直肠癌有前途的预后和诊断生物标志物。需要进一步研究以探索 GUCA2A 作为治疗生物标志物的潜力。