Li Junfeng, Peng Ling, Li Hanbing, Cai Yan, Yao Peng, Chen Qin, Li Xiaolei, Zhou Qiuxi
Department of Thoracic Surgery, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Department of General Internal Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu, China.
J Gastrointest Oncol. 2023 Feb 28;14(1):40-53. doi: 10.21037/jgo-22-1286. Epub 2023 Feb 15.
Previous studies have made some headway in analyzing esophageal adenocarcinoma (EA) with respect to pathogenic factors, treatment methods, and prognosis. However, far less is known about the molecular mechanisms. Thus, a comprehensive analysis focusing on the biological function and interaction of EA genes would provide valuable information for understanding the pathogenesis of EA, which may provide new insights into gene function as well as potential therapy targets.
We selected 109 genes related to EA by reviewing 458 publications from the PubMed database. In addition, performing gene enrichment assays, pathway enrichment assays, pathway crosstalk analysis, and extraction of EA-specific subnetwork were used to describe the relevant biochemical processes.
Function analysis revealed that biological processes and biochemical pathways associated with apoptotic and metabolic processes, a variety of cancers, and drug reaction pathways. Further, 12 novel genes (, , , , , , , , , , , and ) were identified in the EA-specific network, which might provide helpful information for clinical application.
Overall, by integrating pathways and networks to explore the pathogenetic mechanisms underlying EA, our results could significantly improve our understanding of the molecular mechanisms of EA and form a basis for selection of potential molecular targets for further exploration.
先前的研究在分析食管腺癌（EA）的致病因素、治疗方法和预后方面取得了一些进展。然而，对其分子机制的了解却少得多。因此，聚焦于EA基因的生物学功能和相互作用进行全面分析，将为理解EA的发病机制提供有价值的信息，这可能为基因功能以及潜在治疗靶点提供新的见解。
通过查阅PubMed数据库中的458篇出版物，我们筛选出109个与EA相关的基因。此外，进行基因富集分析、通路富集分析、通路串扰分析以及提取EA特异性子网来描述相关的生化过程。
功能分析表明，生物过程和生化通路与凋亡和代谢过程、多种癌症以及药物反应通路相关。此外，在EA特异性网络中鉴定出12个新基因（，，，，，，，，，，，和），这可能为临床应用提供有用信息。
总体而言，通过整合通路和网络来探索EA潜在的发病机制，我们的结果能够显著增进我们对EA分子机制的理解，并为进一步探索潜在分子靶点的选择奠定基础。
