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通过基于纳米串的多基因检测挖掘晚期胃癌患者中预测卡培他滨联合RAD001疗效的生物标志物。

To Excavate Biomarkers Predictive of the Response for Capecitabine plus RAD001 through Nanostring-Based Multigene Assay in Advanced Gastric Cancer Patients.

作者信息

Lee Hansang, Lee Jeeyun, Sohn Insuk, Park Se Hoon, Park Joon Oh, Park Young Suk, Kim Kyoung-Mee, Kang Won Ki, Kim Seung Tae

机构信息

Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea;; Gastric Cancer Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

出版信息

J Cancer. 2016 Oct 25;7(15):2173-2178. doi: 10.7150/jca.16551. eCollection 2016.

Abstract

Comprehensive characterization of individual patients' tumour is important to realize personalized medicine. Here, we investigate to identify subsets that benefit from capecitabine plus RAD001 in advanced gastric cancer (GC) patients by comprehensive high-throughput genomic analysis (nCounter assay). Archival tumour tissue blocks, if possible, were collected at phase II trial of capecitabine plus RAD001 in 47 refractory GC patients (at clinicaltrials.gov NCT#01099527). A total of 42 formalin-fixed, paraffin-embedded (FFPE) tumour samples were available for nanostring based-multigene Assay. An nCounter assay of 519 kinase panels has been used. We performed correlation analyses between expression levels of kinase genes and response for capecitabine plus RAD001. Among 42 patients with An nCounter assay of 519 kinase panels, 4 patients achieved confirmed partial response and 15 patients revealed stable disease, resulting in an overall response rate (ORR) of 9.5%. No difference in ORR was observed in terms of gender, performance status, primary tumour site, gastric resection, histologic subtype, Lauren classification, No. of metastatic site and No. of chemotherapy. In subgroups with response for capecitabine plus RAD001, there is significant overexpression of 6 genes among 519 kinase gene such as EPHA2 (P = 0.0025), PIM1 (P = 0.0031), KSR1 (P = 0.0033), and EIF2AK4 (P = 0.0046) that are related to the activation of mTOR signalling. This study is first report that investigated to identify biomarkers predictive of the response for RAD001 containing treatment in refractory GC patients, by comprehensive high-throughput genomic analysis (nCounter assay).

摘要

全面了解个体患者的肿瘤特征对于实现个性化医疗至关重要。在此,我们通过全面的高通量基因组分析(nCounter检测法),研究确定晚期胃癌(GC)患者中哪些亚组能从卡培他滨加RAD001治疗中获益。如有可能,在卡培他滨加RAD001的II期试验中收集了47例难治性GC患者(在clinicaltrials.gov上登记号为NCT#01099527)的存档肿瘤组织块。共有42个福尔马林固定、石蜡包埋(FFPE)的肿瘤样本可用于基于纳米串的多基因检测。使用了519个激酶组的nCounter检测法。我们对激酶基因的表达水平与卡培他滨加RAD001的反应进行了相关性分析。在519个激酶组进行nCounter检测的42例患者中,4例达到确认的部分缓解,15例病情稳定,总缓解率(ORR)为9.5%。在性别、体能状态、原发肿瘤部位、胃切除术、组织学亚型、劳伦分类、转移部位数量和化疗次数方面,未观察到ORR有差异。在对卡培他滨加RAD001有反应的亚组中,519个激酶基因中有6个基因显著过表达,如EPHA2(P = 0.0025)、PIM1(P = 0.0031)、KSR1(P = 0.0033)和EIF2AK4(P = 0.0046),这些基因与mTOR信号通路的激活有关。本研究首次报告通过全面的高通量基因组分析(nCounter检测法),研究确定难治性GC患者中预测含RAD001治疗反应的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f75/5166525/0beb81d7c31f/jcav07p2173g001.jpg

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