EpCAM生物标志物的临床价值及其与膀胱癌免疫细胞浸润的关系

IF 2.3 3区 医学 Q2 PATHOLOGY
Taoufik Nedjadi, Mohamed E Ahmed, Hifzur R Ansari, Sihem Aouabdi, Alaa Samkari, Jaudah Al-Maghrabi
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引用次数: 0

摘要

背景:膀胱癌的特点是其异质性和高复发和进展倾向。缺乏可靠的诊断和预后生物标志物来准确识别高危患者,进一步使该疾病的临床管理复杂化。MOC-31是一种靶向上皮细胞粘附分子(epithelial cell adhesion molecule, EpCAM)的抗体,被用于区分间皮瘤和转移性癌,但其在膀胱癌中的临床应用、预后价值和功能动力学尚未得到验证。方法:通过癌症基因组图谱(TCGA)全面分析EpCAM表达及其与关键临床病理参数的关系。此外,我们使用MOC-31抗体回顾性评估膀胱癌队列中EpCAM的表达,并检查其预后价值及其与临床病理特征的相关性。利用cbiopportal、STRING和TIMER数据库探讨EpCAM表达、免疫细胞浸润和免疫检查点基因之间的相互作用。结果:EpCAM在不同肿瘤类型中的表达差异较大,且与肿瘤晚期密切相关。用MOC-31染色EpCAM显示51.7%的分析队列呈膜性阳性。Kaplan-Meier生存分析显示,EpCAM低表达患者的预后较EpCAM高表达患者差。蛋白-蛋白相互作用表明EFGR、HER2和Claudin-7是EpCAM的关键相互作用因子。EpCAM的表达与免疫细胞浸润及免疫相关基因密切相关。结论:本研究突出了EpCAM在膀胱癌中的预后价值,揭示了EpCAM表达与膀胱癌发病机制之间的密切联系。这些结果强调需要进一步的研究来验证这些发现,并探索EpCAM作为治疗膀胱癌的治疗靶点的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The clinical value of the EpCAM biomarker and its association with immune cell infiltration in bladder cancer.

The clinical value of the EpCAM biomarker and its association with immune cell infiltration in bladder cancer.

The clinical value of the EpCAM biomarker and its association with immune cell infiltration in bladder cancer.

The clinical value of the EpCAM biomarker and its association with immune cell infiltration in bladder cancer.

Background: Bladder cancer is characterized by its heterogeneous nature and high propensity for recurrence and progression. The absence of reliable diagnostic and prognostic biomarkers to accurately identify high-risk patients further complicates the clinical management of the disease. MOC-31, an antibody that targets epithelial cell adhesion molecule (EpCAM), is utilized to distinguish between mesothelioma and metastatic cancer, but its clinical utility, prognostic value and functional dynamics in bladder cancer have yet to be verified.

Methods: A comprehensive analysis of EpCAM expression and its associations with key clinicopathological parameters was performed via The Cancer Genome Atlas (TCGA). Additionally, we retrospectively assessed EpCAM expression in our bladder cancer cohort using MOC-31 antibody and examined its prognostic value and correlation with clinicopathological features. The cBioPortal, STRING and TIMER databases were used to explore the interactions between EpCAM expression, immune cell infiltration and immune checkpoint genes.

Results: The difference in EpCAM expression varied widely across various cancer types and was strongly correlated with advanced cancer stage. EpCAM staining with MOC-31 exhibited membranous positivity in 51.7% of the analysed cohort. Kaplan-Meier survival analysis revealed a discernible trend suggesting a poorer prognosis for patients with low EpCAM expression than for those with high EpCAM expression. Protein-protein interaction demonstrated that EFGR, HER2 and Claudin-7 are key EpCAM interactors. A strong association was observed between EpCAM expression and immune cell infiltration as well as immune-related genes.

Conclusion: This study highlights the prognostic value of EpCAM in bladder cancer, revealing a strong link between EpCAM expression and disease pathogenesis. These results underscore the need for further research to validate these findings and explore the significance of EpCAM as a therapeutic target in managing bladder cancer.

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来源期刊
Diagnostic Pathology
Diagnostic Pathology 医学-病理学
CiteScore
4.60
自引率
0.00%
发文量
93
审稿时长
1 months
期刊介绍: Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).
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