Liu Xiaohui, Zheng Weimin, Wang Wansheng, Shen Huali, Liu Linxiao, Lou Wenhui, Wang Xiaolin, Yang Pengyuan
The Fifth People's Hospital of Shanghai, Fudan University, Shanghai 200240, China.
Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Br J Cancer. 2017 Dec 5;117(12):1846-1854. doi: 10.1038/bjc.2017.365. Epub 2017 Nov 9.
Pancreatic carcinoma (PC) is an aggressive malignancy that lacks strategies for early detection. This study aimed to develop a coherent, high-throughput and non-discriminatory pipeline for the novel clinical biomarker discovery of PC.
We combined mass spectrometry (MS)-intensive methods such as isobaric tags for relative and absolute quantitation with two-dimensional liquid chromatography-tandem mass spectrometry (iTRAQ-2DLC-MS/MS), 1D-targeted LC-MS/MS, prime MRM (P-MRM) and stable isotope dilution-based MRM (SID-MRM) to analyse serum samples from healthy people (normal control, NC), patients with benign diseases (BD) and PC patients to identify novel biomarkers of PC.
On the basis of the newly developed pipeline, we identified >1000 proteins, verified 142 differentially expressed proteins and finally targeted four proteins for absolute quantitation in 100 serum samples. The novel biomarker panel of apolipoprotein E (APOE), inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3), apolipoprotein A-I (APOA1), apolipoprotein L1 (APOL1), combining with CA19-9, statistically-significantly improved the sensitivity (95%) and specificity (94.1%), outperforming CA19-9 alone, for the diagnosis of PC.
We developed a highly efficient pipeline for biomarker discovery, verification and validation, with each step systematically informing the next. A panel of proteins that might be clinically relevant biomarkers for PC was found.
胰腺癌(PC)是一种侵袭性恶性肿瘤,缺乏早期检测策略。本研究旨在开发一种连贯、高通量且无歧视性的流程,用于发现PC的新型临床生物标志物。
我们将质谱(MS)密集型方法,如用于相对和绝对定量的等压标签与二维液相色谱-串联质谱(iTRAQ-2DLC-MS/MS)、一维靶向液相色谱-质谱(1D-targeted LC-MS/MS)、prime MRM(P-MRM)和基于稳定同位素稀释的MRM(SID-MRM)相结合,分析健康人(正常对照,NC)、良性疾病患者(BD)和PC患者的血清样本,以鉴定PC的新型生物标志物。
基于新开发的流程,我们鉴定出>1000种蛋白质,验证了142种差异表达蛋白质,最终在100份血清样本中靶向4种蛋白质进行绝对定量。载脂蛋白E(APOE)、α-胰蛋白酶抑制剂重链H3(ITIH3)、载脂蛋白A-I(APOA1)、载脂蛋白L1(APOL1)组成的新型生物标志物组合,与CA19-9相结合,在诊断PC时,统计学上显著提高了敏感性(95%)和特异性(94.1%),优于单独使用CA19-9。
我们开发了一种高效的生物标志物发现、验证和确认流程,每一步都系统地为下一步提供信息。发现了一组可能是PC临床相关生物标志物的蛋白质。