Background Hepatocellular carcinoma (HCC) is one of the most common cancers in the world,and the identification of biomarkers for the early detection is a relevant target. The purpose of the study is to discover specific low molecular weight (LMW) serum peptidome biomarkers and establish a diagnostic pattern for HCC. Methods We undertook this pilot study using a combined application of magnetic beads with Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) technique and ClinPro Tools v2.2 to detect 32 patients with HCC, 16 patients with chronic hepatitis (CH), 16 patients with liver cirrhosis (LC) and 16 healthy volunteers. Results The results showed 49, 33 and 37 differential peptide peaks respectively appeared in HCC, LC and CH groups. A Supervised Neural Network (SNN) algorithm was used to set up the classification model. Eleven of the identified peaks at m/z 5247.62, 7637.05, 1450.87, 4054.21, 1073.37, 3883.64, 5064.37, 4644.96, 5805.51, 1866.47 and 6579.6 were used to construct the peptides patterns. According to the model, we could clearly distinguish between HCC patients and healthy controls as well as between LC or CH patients and healthy controls. Conclusions The study demonstrated that a combined application of magnetic beads with MALDI-TOF MB technique was suitable for identification of potential serum biomarkers for HCC and it is a promising way to establish a diagnostic pattern. Virtual slides The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1503629821958720 webcite.
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机译:背景技术肝细胞癌(HCC)是世界上最常见的癌症之一,与早期检测相关的生物标志物的鉴定是相关的目标。这项研究的目的是发现特定的低分子量(LMW)血清肽组生物标志物,并建立HCC的诊断模式。方法我们采用磁珠与基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)技术和ClinPro Tools v2.2的组合应用进行了这项初步研究,以检测32例HCC,16例患有慢性肝炎(CH),16例肝硬化(LC)和16名健康志愿者。结果结果显示,在HCC,LC和CH组中分别出现49、33和37个差异肽峰。采用监督神经网络(SNN)算法建立分类模型。在m / z 5247.62、7637.05、1450.87、4054.21、1073.37、388364、5064.37、4644.96、5805.51、1866.47和6579.6处的11个鉴定峰用于构建肽谱。根据该模型,我们可以清楚地区分HCC患者和健康对照,以及LC或CH患者和健康对照。结论该研究表明,磁珠与MALDI-TOF MB技术的结合应用适合鉴定HCC潜在的血清生物标志物,这是建立诊断模式的一种有前途的方法。虚拟幻灯片可以在此处找到本文的虚拟幻灯片:http://www.diagnosticpathology.diagnomx.eu/vs/1503629821958720网站。
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