Bu Peilong, Xiao Yafei, Hu Shaowen, Jiang Xiaowei, Tan Cong, Qiu Mengyuan, Huang Wanting, Li Mengmeng, Li Quanying, Qin Changjiang
Department of General Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, China.
Department of Pediatric Orthopedics, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
J Oncol. 2022 Jun 22;2022:3399311. doi: 10.1155/2022/3399311. eCollection 2022.
The increasing incidence and mortality of colorectal cancer (CRC) urgently requires updated biomarkers. The ABC transporter family is a widespread family of membrane-bound proteins involved in the transportation of substrates associated with ATP hydrolysis, including metabolites, amino acids, peptides and proteins, sterols and lipids, organic and inorganic ions, sugars, metals, and drugs. They play an important role in the maintenance of homeostasis in the body.
This study aims to search for new markers in the ABC transporter gene family for diagnostic and prognostic purposes through data mining of The Cancer Genome Atlas (TCGA) and GEO (Gene Expression Omnibus) datasets.
A total of 980 samples, including 684 CRC patients and 296 controls from five different datasets, were included for analysis. The construction of the PPI (protein-protein interaction) network and pathway analysis were performed in STRING database and DAVID (database for annotation, visualization, and integrated discovery), respectively. In addition, GSEA (gene set enrichment analysis) and WGCNA (weighted gene co-expression network analysis) were also used for functional analysis.
After several rounds of screening and validation, only the gene was retained among the 49 genes.
The results demonstrated that expression is reduced in CRC and patients with high expression have better OS, which can provide guidance for better management and treatment of CRC in the future.
结直肠癌(CRC)发病率和死亡率的不断上升迫切需要更新的生物标志物。ABC转运蛋白家族是一类广泛存在的膜结合蛋白家族,参与与ATP水解相关的底物运输,包括代谢物、氨基酸、肽和蛋白质、固醇和脂质、有机和无机离子、糖、金属和药物。它们在维持体内稳态中发挥着重要作用。
本研究旨在通过对癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)数据集进行数据挖掘,在ABC转运蛋白基因家族中寻找用于诊断和预后的新标志物。
总共纳入980个样本进行分析,其中包括来自五个不同数据集的684例CRC患者和296例对照。分别在STRING数据库和DAVID(注释、可视化和综合发现数据库)中进行蛋白质-蛋白质相互作用(PPI)网络构建和通路分析。此外,基因集富集分析(GSEA)和加权基因共表达网络分析(WGCNA)也用于功能分析。
经过几轮筛选和验证,49个基因中仅保留了 基因。
结果表明, 在CRC中表达降低,高 表达的患者总生存期更好,这可为未来更好地管理和治疗CRC提供指导。