Kasai Noriyuki, Sasakawa Aya, Hosomi Kenta, Poh Tze Wei, Chua Bernadette Lynn, Yong Wei Peng, So Jimmy, Chan Shing Leng, Soong Richie, Kono Koji, Ishii Toshihiko, Yamano Kazuya
Singapore Translational Research Laboratory, Kyowa Hakko Kirin (Singapore) Pte. Ltd.11, Biopolis Way, 138667, #05-08 Helios, Singapore.
R&D Division, Kyowa Hakko Kirin Co. Ltd.Shizuoka, Japan.
Am J Transl Res. 2017 Jul 15;9(7):3399-3410. eCollection 2017.
ASC amino acid transporter 2 (ASCT2), also known as solute linked carrier family 1 member A5 (SLC1A5) is a Na+-dependent glutamine/neutral amino acid transporter. ASCT2 acts as a high-affinity transporter of L-glutamine (Gln) and has been reported to be up-regulated in a variety of cancerous tissues including stomach, liver, and kidney. In this study, we evaluated anti-tumor efficacy of a novel anti-ASCT2 humanized monoclonal antibody, KM8094, which has a neutralizing activity against glutamine uptake, as a therapeutic antibody against gastric cancer and explored clinical predictive biomarker candidates by utilizing patient-derived xenograft (PDX) mouse models. Anti-tumor efficacy studies revealed that some of the PDX models used were responsive to KM8094 and the others were not. Interestingly, we observed a correlation between anti-tumor efficacy and low antigen expression as well as low basal levels of glutamine uptake, suggesting ASCT2 expression level could be a potential predictive biomarker for KM8094. We then further explored predictive biomarker candidates by multi-omics analysis on gastric cancer PDX mouse models. As a result, a few potential candidates such as TFF2, MUC13, and ANG were selected by gene expression and DNA methylation array analyses. In addition, metabolomics analysis revealed clear differences in intracellular energy status and redox status between responsive and non-responsive PDX models.
ASC氨基酸转运体2(ASCT2),也被称为溶质连接载体家族1成员A5(SLC1A5),是一种钠离子依赖性谷氨酰胺/中性氨基酸转运体。ASCT2作为L-谷氨酰胺(Gln)的高亲和力转运体,据报道在包括胃、肝和肾在内的多种癌组织中上调。在本研究中,我们评估了一种新型抗ASCT2人源化单克隆抗体KM8094作为胃癌治疗性抗体的抗肿瘤疗效,该抗体对谷氨酰胺摄取具有中和活性,并利用患者来源的异种移植(PDX)小鼠模型探索临床预测生物标志物候选物。抗肿瘤疗效研究表明,所使用的一些PDX模型对KM8094有反应,而其他模型则无反应。有趣的是,我们观察到抗肿瘤疗效与低抗原表达以及低基础谷氨酰胺摄取水平之间存在相关性,这表明ASCT2表达水平可能是KM8094的潜在预测生物标志物。然后,我们通过对胃癌PDX小鼠模型进行多组学分析,进一步探索预测生物标志物候选物。结果,通过基因表达和DNA甲基化阵列分析筛选出了一些潜在候选物,如TFF2、MUC13和ANG。此外,代谢组学分析揭示了反应性和非反应性PDX模型在细胞内能量状态和氧化还原状态方面的明显差异。