Differentially Expressed Genes Associated with Chemoresistance in Bladder Urothelial Carcinoma Identified through Transcriptomic Analysis

This dataset contains 771 differentially expressed genes identified from bladder urothelial carcinoma (BLCA) patients undergoing chemotherapy. The analysis was based on RNA-seq data obtained from The Cancer Genome Atlas (TCGA) database. Using edgeR, we identified 415 downregulated and 356 upregulated genes associated with chemoresistance. Functional enrichment analyses (GO and KEGG) revealed key metabolic pathways such as cholesterol and phenylalanine metabolism involved in BLCA chemoresistance. This dataset is integral to understanding the molecular mechanisms driving chemoresistance in BLCA and may aid in the development of novel therapeutic strategies.

本数据集包含从接受化疗的膀胱尿路上皮癌（bladder urothelial carcinoma, BLCA）患者中鉴定得到的771个差异表达基因。本分析基于从癌症基因组图谱（The Cancer Genome Atlas, TCGA）数据库获取的RNA测序（RNA-seq）数据完成。借助edgeR软件，本研究共鉴定出415个下调基因与356个上调基因，上述基因均与化疗耐药相关。功能富集分析包括基因本体论（Gene Ontology, GO）与京都基因与基因组百科全书（Kyoto Encyclopedia of Genes and Genomes, KEGG）富集分析，结果显示胆固醇代谢、苯丙氨酸代谢等关键代谢通路参与了BLCA的化疗耐药过程。本数据集对于解析BLCA化疗耐药的分子机制至关重要，同时可为新型治疗策略的开发提供助力。