Departments of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Gastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Sci Rep. 2017 Sep 5;7(1):10484. doi: 10.1038/s41598-017-09754-5.
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease that lacks effective biomarkers for early detection. We hypothesized that circulating long non-coding RNAs (lncRNAs) may act as diagnostic markers of incidentally-detected cystic PDAC precursors known as intraductal papillary mucinous neoplasms (IPMNs) and predictors of their pathology/histological classification. Using NanoString nCounter® technology, we measured the abundance of 28 candidate lncRNAs in pre-operative plasma from a cohort of pathologically-confirmed IPMN cases of various grades of severity and non-diseased controls. Results showed that two lncRNAs (GAS5 and SRA) aided in differentiating IPMNs from controls. An 8-lncRNA signature (including ADARB2-AS1, ANRIL, GLIS3-AS1, LINC00472, MEG3, PANDA, PVT1, and UCA1) had greater accuracy than standard clinical and radiologic features in distinguishing 'aggressive/malignant' IPMNs that warrant surgical removal from 'indolent/benign' IPMNs that can be observed. When the 8-lncRNA signature was combined with plasma miRNA data and quantitative 'radiomic' imaging features, the accuracy of predicting IPMN pathological classification improved. Our findings provide novel information on the ability to detect lncRNAs in plasma from patients with IPMNs and suggest that an lncRNA-based blood test may have utility as a diagnostic adjunct for identifying IPMNs and their pathology, especially when incorporated with biomarkers such as miRNAs, quantitative imaging features, and clinical data.
胰腺导管腺癌(PDAC)是一种侵袭性疾病,缺乏用于早期检测的有效生物标志物。我们假设循环长非编码 RNA(lncRNA)可能作为偶然发现的囊状 PDAC 前体(称为导管内乳头状黏液性肿瘤(IPMN))的诊断标志物,并预测其病理学/组织学分类。使用 NanoString nCounter®技术,我们测量了来自经病理证实的各种严重程度的 IPMN 病例和非患病对照的术前血浆中 28 个候选 lncRNA 的丰度。结果表明,两种 lncRNA(GAS5 和 SRA)有助于区分 IPMN 与对照。8 个 lncRNA 特征(包括 ADARB2-AS1、ANRIL、GLIS3-AS1、LINC00472、MEG3、PANDA、PVT1 和 UCA1)在区分需要手术切除的“侵袭性/恶性”IPMN 与可以观察到的“惰性/良性”IPMN 方面,比标准临床和放射学特征具有更高的准确性。当 8 个 lncRNA 特征与血浆 miRNA 数据和定量“放射组学”成像特征相结合时,预测 IPMN 病理分类的准确性得到提高。我们的研究结果提供了关于从 IPMN 患者的血浆中检测 lncRNA 的能力的新信息,并表明基于 lncRNA 的血液检测可能具有作为识别 IPMN 及其病理学的辅助诊断的用途,尤其是当与 miRNA、定量成像特征和临床数据等生物标志物结合使用时。