Liu Dajia, van der Zalm Amber P, Koster Jan, Bootsma Sanne, Oyarce Cesar, van Laarhoven Hanneke W M, Bijlsma Maarten F
Amsterdam UMC Location University of Amsterdam, Center for Experimental and Molecular Medicine, Laboratory of Experimental Oncology and Radiobiology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Amsterdam UMC location University of Amsterdam, Department of Medical Oncology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Cancer Center Amsterdam, Cancer Biology, Amsterdam, the Netherlands.
Amsterdam UMC Location University of Amsterdam, Center for Experimental and Molecular Medicine, Laboratory of Experimental Oncology and Radiobiology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Cancer Center Amsterdam, Cancer Biology, Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands.
Pharmacol Res. 2024 Sep;207:107315. doi: 10.1016/j.phrs.2024.107315. Epub 2024 Jul 24.
Epithelial-mesenchymal transition (EMT) has been identified as a driver of therapy resistance, particularly in esophageal adenocarcinoma (EAC), where transforming growth factor beta (TGF-β) can induce this process. Inhibitors of TGF-β may counteract the occurrence of mesenchymal, resistant tumor cell populations following chemo(radio)therapy and improve treatment outcomes in EAC. Here, we aimed to identify predictive biomarkers for the response to TGF-β targeting. In vitro approximations of neoadjuvant treatment were applied to publicly available primary EAC cell lines. TGF-β inhibitors fresolimumab and A83-01 were employed to inhibit EMT, and mesenchymal markers were quantified via flow cytometry to assess efficacy. Our results demonstrated a robust induction of mesenchymal cell states following chemoradiation, with TGF-β inhibition leading to variable reductions in mesenchymal markers. The cell lines were clustered into responders and non-responders. Genomic expression profiles were obtained through RNA-seq analysis. Differentially expressed gene (DEG) analysis identified 10 positively- and 23 negatively-associated hub genes, which were bioinformatically identified. Furthermore, the correlation of DEGs with response to TGF-β inhibition was examined using public pharmacogenomic databases, revealing 9 positively associated and 11 negatively associated DEGs. Among these, ERBB2, EFNB1, and TNS4 were the most promising candidates. Our findings reveal a distinct gene expression pattern associated with the response to TGF-β inhibition in chemo(radiated) EAC. The identified DEGs and predictive markers may assist patient selection in clinical studies investigating TGF-β targeting.
上皮-间质转化(EMT)已被确定为治疗耐药性的驱动因素,尤其是在食管腺癌(EAC)中,其中转化生长因子β(TGF-β)可诱导这一过程。TGF-β抑制剂可能会抵消放(化)疗后间充质耐药肿瘤细胞群的出现,并改善EAC的治疗效果。在此,我们旨在确定针对TGF-β靶向治疗反应的预测生物标志物。将新辅助治疗的体外近似方法应用于公开可用的原发性EAC细胞系。使用TGF-β抑制剂氟司妥昔单抗和A83-01抑制EMT,并通过流式细胞术对间充质标志物进行定量以评估疗效。我们的结果表明,放化疗后间充质细胞状态有强烈诱导,TGF-β抑制导致间充质标志物不同程度的减少。将细胞系分为反应者和无反应者。通过RNA测序分析获得基因组表达谱。差异表达基因(DEG)分析确定了10个正相关和23个负相关的核心基因,并通过生物信息学进行了鉴定。此外,使用公共药物基因组数据库检查了DEG与TGF-β抑制反应的相关性,发现9个正相关和11个负相关的DEG。其中,ERBB2、EFNB1和TNS4是最有前景的候选基因。我们的研究结果揭示了一种与放(化)疗的EAC中TGF-β抑制反应相关的独特基因表达模式。所确定的DEG和预测标志物可能有助于在研究TGF-β靶向治疗的临床研究中进行患者选择。