Peng Ruoyu, Ma Xiaohan, Jiang Zhiyun, Duan Yu, Lv Shaogang, Jing Wei
Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan, Zhengzhou, 450000, China.
Department of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou Key Laboratory for In Vitro Diagnosis of Hypertensive Disorders of Pregnancy, Zhengzhou, 450000, China.
Heliyon. 2024 Jul 3;10(13):e34029. doi: 10.1016/j.heliyon.2024.e34029. eCollection 2024 Jul 15.
Bladder cancer (BC) exhibits diversity in clinical outcomes and is characterized by heterogeneity. Anoikis, a form of programmed cell death, plays a crucial role in facilitating tumor invasion and metastasis. This study comprehensively investigated the genetic landscape of BC progression, identifying 300 differentially expressed Anoikis-related genes (DE-ARGs) through in-depth analysis of the GSE13507 datasets. Functional enrichment analysis revealed associations with diverse diseases and biological processes. Employing machine learning algorithms, a logistic regression model based on nine marker genes demonstrated superior accuracy in distinguishing BC from normal samples. Validation in TCGA datasets highlighted the prognostic significance of LRP1, FASN, and SIRT6, suggesting their potential as cancer biomarkers. Particularly, FASN emerged as an independent prognostic indicator, regulating BC cell proliferation and metastasis through the Wnt/β-catenin pathway. The study provides crucial insights into altered genetic landscapes and potential therapeutic strategies for BC, emphasizing the significance of FASN in BC prognosis and progression.
膀胱癌(BC)在临床结果上表现出多样性,其特征是异质性。失巢凋亡是一种程序性细胞死亡形式,在促进肿瘤侵袭和转移中起关键作用。本研究全面调查了BC进展的基因图谱,通过对GSE13507数据集的深入分析,鉴定出300个差异表达的失巢凋亡相关基因(DE-ARGs)。功能富集分析揭示了与多种疾病和生物学过程的关联。采用机器学习算法,基于九个标记基因的逻辑回归模型在区分BC与正常样本方面表现出卓越的准确性。在TCGA数据集中的验证突出了LRP1、FASN和SIRT6的预后意义,表明它们作为癌症生物标志物的潜力。特别是,FASN成为一个独立的预后指标,通过Wnt/β-连环蛋白途径调节BC细胞增殖和转移。该研究为BC改变的基因图谱和潜在治疗策略提供了关键见解,强调了FASN在BC预后和进展中的重要性。