结直肠癌放射耐药的分子机制:AURKA, BIRC5和PLK1蛋白作为潜在生物标志物的计算机鉴定

Marta Rodríguez-García, Antonio M Burgos-Molina, Alejandro González-Vidal, Francisco Sendra-Portero, Manuel Bernal, Miguel J Ruiz-Gómez
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引用次数: 0

摘要

目的:肿瘤细胞放射耐药的发生严重影响结直肠癌患者的生存。本研究的目的是研究结直肠癌放疗耐药的分子机制,并确定关键基因作为可能的生物标志物。方法:以关键词“结直肠肿瘤”、“放疗”和“耐药性”在PubMed中进行数据挖掘,共生成242篇文章,并应用一系列纳入和排除标准来选择感兴趣的文章。然后,使用生物信息学工具:GeneCodis、metscape、KEGG、REACTOME、STRING、STITCH、CHEA3、DGIdb、CTD和GEPIA对所选基因进行计算机分析。结果:描述了辐射抗性的不同机制和基因。这些与逃避细胞凋亡、细胞周期失调、上皮-间质转化和DNA断裂修复有关,最后一个是最相关和最具影响力的。对21个与辐射抗性相关的基因进行的in - silicon研究表明,FoxO信号通路和EGFR酪氨酸激酶抑制剂抗性是最富集的途径。此外,该研究还鉴定了关键蛋白AURKA、BIRC5和PLK1,显示出多种相互作用的化学物质和药物;比如他莫昔芬,甲琥珀酸奥乙酰克辛,和多巴胺酸羟嗪等。结论:多种转录因子调控这些关键基因的表达,并在患者样本中进行验证,在肿瘤患者中观察到较高的表达,在肿瘤I-IV期保守,表明它们有可能成为潜在的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular mechanisms of radiation resistance in colorectal cancer: in silico identification of AURKA, BIRC5 and PLK1 proteins as potential biomarkers.

Purpose: The development of radiation resistance by tumor cells severely affects the survival of colorectal cancer patients. The aim of this work is to study the molecular mechanisms involved in the resistance to radiotherapy treatment in colorectal cancer and the identification of key genes as possible biomarkers.

Methods: Data mining was performed in PubMed with the keywords 'colorectal neoplasms', 'radiotherapy', and 'resistance', generating a total of 242 articles in which a series of inclusion and exclusion criteria were applied to select the articles of interest. Then, an in-silico analysis of the selected genes was performed with the bioinformatic tools: GeneCodis, Metascape, KEGG, REACTOME, STRING, STITCH, CHEA3, DGIdb, CTD, and GEPIA.

Results: Different mechanisms and genes involved in radiation resistance were described. These are related to evasion of apoptosis, cell cycle dysregulation, epithelial-mesenchymal transition, and repair of DNA breaks, with the last one being the most relevant and influential. The In-silico study carried out with 21 genes involved in radiation resistance showed the implication of FoxO signaling and EGFR tyrosine kinase inhibitor resistance as the most enriched pathways. In addition, the study identified the key proteins AURKA, BIRC5, and PLK1, showing multiple interacting chemicals and drugs; such as tamoxifen, omacetaxine mepesuccinate, and hydroxyzine pamoate, among others.

Conclusion: The identification of multiple transcription factors that regulate the expression of these key genes as well as the validation in patient samples where higher expression is observed in tumor patients, conserved across tumor stages I-IV, suggests their potential as possible biomarkers.

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