Lim Kian-Huat, Langley Emma, Gao Feng, Luo Jingqin, Li Lin, Meyer Gary, Kim Phillip, Singh Sharat, Kushnir Vladamir M, Early Dayna S, Mullady Daniel K, Edmundowicz Steven A, Wani Sachin, Murad Faris M, Cao Dengfeng, Azar Riad R, Wang-Gillam Andrea
Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Prometheus Laboratories Inc., San Diego, CA, USA.
Oncotarget. 2017 Apr 11;8(15):24250-24261. doi: 10.18632/oncotarget.15653.
To date, targeted therapy for pancreatic ductal adenocarcinoma (PDAC) remains largely unsuccessful in the clinic. Current genomics-based technologies are unable to reflect the quantitative, dynamic signaling changes in the tumor, and require larger tumor samples that are difficult to obtain in PDAC patients. Therefore, a highly sensitive functional tool that can reliably and comprehensively inform intra-tumoral signaling events is direly needed to guide treatment decision. We tested the utility of a highly sensitive proteomics-based functional diagnostic platform, Collaborative Enzyme Enhanced Reactive-immunoassay (CEERTM), on fine-needle aspiration (FNA) samples obtained from 102 patients with radiographically-evident pancreatic tumors. Two FNA passes were collected from each patient, hybridized to customized chips coated with an array of capture antibodies, and detected using two enzyme-conjugated antibodies which emit quantifiable signals. We demonstrate that this technique is highly sensitive in detecting total and phosphorylated forms of multiple signaling molecules in FNA specimens, with reasonable correlation of marker intensities between two different FNA passes. Notably, signals of several markers were significantly higher in PDAC compared to non-cancerous samples. In PDAC samples, we found high total c-Met signal to be associated with poor survival, and confirmed this finding using an independent PDAC tissue microarray.
迄今为止,胰腺导管腺癌(PDAC)的靶向治疗在临床上大多未取得成功。当前基于基因组学的技术无法反映肿瘤中定量、动态的信号变化,且需要较大的肿瘤样本,而这在PDAC患者中很难获取。因此,迫切需要一种高度灵敏的功能工具,能够可靠且全面地反映肿瘤内信号事件,以指导治疗决策。我们对一种基于蛋白质组学的高度灵敏的功能诊断平台——协同酶增强反应免疫测定法(CEERTM)进行了测试,该测试针对的是从102例经影像学检查确诊为胰腺肿瘤的患者获取的细针穿刺抽吸(FNA)样本。从每位患者采集两次FNA样本,将其与涂有一系列捕获抗体的定制芯片杂交,并使用两种能发出可量化信号的酶联抗体进行检测。我们证明,该技术在检测FNA样本中多种信号分子的总形式和磷酸化形式时具有高度灵敏性,且两次不同FNA样本之间的标志物强度具有合理的相关性。值得注意的是,与非癌样本相比,PDAC中几种标志物的信号明显更高。在PDAC样本中,我们发现总c-Met信号高与生存率低相关,并使用独立的PDAC组织微阵列证实了这一发现。