Li Ke, He Wei-Hua, Fan Nai-Jun, Gao Chun-Fang, Zhao Guang, Sun Gao-Bin, Zheng Guo-Bao
Institute of Anal-colorectal Surgery, No. 150 Central Hospital of PLA, Luoyang, China.
Turk J Gastroenterol. 2014 Dec;25 Suppl 1:147-52. doi: 10.5152/tjg.2014.4888.
BACKGROUND/AIMS: The only hope for a cure from hepatocellular carcinoma (HCC) rests on early diagnosis. The present study aims to determine serum peptidome patterns for early diagnosis of HCC.
To identify novel peptidome patterns for diagnosing HCC, serum from31 healthy volunteers and 32 HCC patients were subjected to a comparative proteomic analysis using a ClinProt Kit combined with mass spectrometry (MS). This approach allows the determination of peptidome patterns that are able to differentiate the HCC from healthy volunteers. For further validation, the diagnostic and differential diagnostic capabilities of the peptidome patterns were verified blindly by an independent group of sera consisted of 31 HCC, 23 liver fibrosis and 33 healthy volunteers.
A Quick Classifier Algorithm was used to construct the peptidome patterns for the identification of HCC from the control samples. One of the identified peaks at m/z 7771 was used to construct the peptidome patterns with almost 100% accuracy. Furthermore, the peptidome patterns could also differentiate the validation group with high accuracy.
These results suggest that the ClinProt Kit combined with MS achieves significantly high accuracy for HCC diagnosis and differential diagnosis.
背景/目的：肝细胞癌（HCC）治愈的唯一希望在于早期诊断。本研究旨在确定用于HCC早期诊断的血清肽组模式。
为了识别诊断HCC的新型肽组模式，使用ClinProt试剂盒结合质谱（MS）对31名健康志愿者和32名HCC患者的血清进行了比较蛋白质组分析。这种方法能够确定能够区分HCC患者和健康志愿者的肽组模式。为了进一步验证，由31名HCC患者、23名肝纤维化患者和33名健康志愿者组成的独立血清组对肽组模式的诊断和鉴别诊断能力进行了盲法验证。
使用快速分类算法构建肽组模式，以便从对照样本中识别HCC。所识别的质荷比为7771的峰之一用于构建准确率几乎达到100%的肽组模式。此外，肽组模式也能够以高精度区分验证组。
这些结果表明，ClinProt试剂盒结合MS在HCC诊断和鉴别诊断方面具有显著的高准确率。
