食管腺癌（EAC）是一种常见癌症，晚期预后较差。因此，近几十年来，EAC的早期诊断和治疗受到了人们的关注。研究发现，在EAC发生之前，食管组织就可能发生多种病理变化，特别是巴雷特食管(BE)。在本研究中，我们旨在通过检测BE和EAC中差异表达的重要调控基因来确定BE向EAC进展的分子贡献者。我们进行了全面的生物信息学分析以检测BE和EAC相关基因。分别使用GEO和DisGeNET数据库检测常见差异表达基因（DEG）和常见单核苷酸多态性（SNP）。然后，鉴定了蛋白质-蛋白质相互作用网络内的中心基因和顶部模块。此外，通过HIPPIE数据库构建了顶层模块的共表达网络。此外，基因调控网络是基于miRNA和circRNA构建的。最后，我们检查了 DGIdb 数据库中可能存在相互作用的药物。我们的微阵列数据集分析确定了 BE 和 EAC 之间的 92 个常见 DEG，其中皮肤和表皮发育基因显着富集。该研究还确定了 BE 和 EAC 之间的 22 个常见 SNP。 PPI网络分析的顶层模块包括SCEL、KRT6A、SPRR1A、SPRR1B、SPRR3、PPL、SPRR2B、EVPL和CSTA。我们构建了一个 ceRNA 网络，涉及 3 个特定 mRNA、23 个 miRNA 和 101 个选定的 circRNA。根据DGIdb数据库的结果，发现TD101与KRT6A基因相互作用。本研究提供了可能参与食管腺癌和巴雷特食管之间分子关联的新的潜在候选基因，从而开发了诊断工具和治疗方法防止 BE 进展为 EAC 的目标。© 2024 作者。

Esophageal adenocarcinoma (EAC) is a common cancer with a poor prognosis in advanced stages. Therefore, early EAC diagnosis and treatment have gained attention in recent decades. It has been found that various pathological changes, particularly Barrett's Esophagus (BE), can occur in the esophageal tissue before the development of EAC. In this study, we aimed to identify the molecular contributor in BE to EAC progression by detecting the essential regulatory genes that are differentially expressed in both BE and EAC.We conducted a comprehensive bioinformatics analysis to detect BE and EAC-associated genes. The common differentially expressed genes (DEGs) and common single nucleotide polymorphisms (SNPs) were detected using the GEO and DisGeNET databases, respectively. Then, hub genes and the top modules within the protein-protein interaction network were identified. Moreover, the co-expression network of the top module by the HIPPIE database was constructed. Additionally, the gene regulatory network was constructed based on miRNAs and circRNAs. Lastly, we inspected the DGIdb database for possible interacted drugs.Our microarray dataset analysis identified 92 common DEGs between BE and EAC with significant enrichment in skin and epidermis development genes. The study also identified 22 common SNPs between BE and EAC. The top module of PPI network analysis included SCEL, KRT6A, SPRR1A, SPRR1B, SPRR3, PPL, SPRR2B, EVPL, and CSTA. We constructed a ceRNA network involving three specific mRNAs, 23 miRNAs, and 101 selected circRNAs. According to the results from the DGIdb database, TD101 was found to interact with the KRT6A gene.The present study provides novel potential candidate genes that may be involved in the molecular association between Esophageal adenocarcinoma and Barrett's Esophagus, resulting in developing the diagnostic tools and therapeutic targets to prevent progression of BE to EAC.© 2024 The Authors.