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基于定量质谱蛋白质组学的转移性前列腺癌细胞比较分泌蛋白质组分析及突变蛋白鉴定

Comparative Secretome Profiling and Mutant Protein Identification in Metastatic Prostate Cancer Cells by Quantitative Mass Spectrometry-based Proteomics.

作者信息

Kwon Oh Kwang, Jeon Ju Mi, Sung Eunji, Na Ann-Yea, Kim Sun Joo, Lee Sangkyu

机构信息

College of Pharmacy, Research Institute of Pharmaceutical Sciences, BK21 Plus KNU Multi-Omics-based Creative Drug Research Team, Kyungpook National University, Daegu, Republic of Korea.

College of Pharmacy, Research Institute of Pharmaceutical Sciences, BK21 Plus KNU Multi-Omics-based Creative Drug Research Team, Kyungpook National University, Daegu, Republic of Korea

出版信息

Cancer Genomics Proteomics. 2018 Jul-Aug;15(4):279-290. doi: 10.21873/cgp.20086.

Abstract

BACKGROUND

Secreted proteins play an important role in promoting cancer (PCa) cell migration and invasion. Proteogenomics helps elucidate the mechanism of diseases, discover therapeutic targets, and generate biomarkers for diagnosis through protein variations.

MATERIALS AND METHODS

We carried out mass a spectrometry-based proteomic analysis of the conditioned media (CM) from two human prostate cancer cell lines, belonging to different metastatic sites, to identify potential metastatic and/or aggressive factors.

RESULTS

We identified a total of 598 proteins, among which 561 were quantified based on proteomic analysis. Among the quantified proteins, 128 were up-regulated and 83 were down-regulated in DU145/PC3 cells. Six mutant peptides were identified in the CM of prostate cancer cell lines using proteogenomics approach.

CONCLUSION

This is the first proteogenomics study in PCa aiming at exploring a new type of metastatic factor, which are mutant peptides, predicting a novel biomarker of metastatic PCa for diagnosis, prognosis and drug targeting.

摘要

背景

分泌蛋白在促进前列腺癌(PCa)细胞迁移和侵袭中起重要作用。蛋白质基因组学有助于阐明疾病机制、发现治疗靶点并通过蛋白质变异生成诊断生物标志物。

材料与方法

我们对来自两个不同转移部位的人前列腺癌细胞系的条件培养基(CM)进行了基于质谱的蛋白质组学分析,以鉴定潜在的转移和/或侵袭性因子。

结果

我们共鉴定出598种蛋白质,其中基于蛋白质组学分析对561种进行了定量。在定量的蛋白质中,DU145/PC3细胞中有128种上调,83种下调。使用蛋白质基因组学方法在前列腺癌细胞系的CM中鉴定出六种突变肽。

结论

这是前列腺癌领域的第一项蛋白质基因组学研究,旨在探索一种新型转移因子,即突变肽,预测转移性前列腺癌用于诊断、预后和药物靶向的新型生物标志物。

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