Integrative proteomics and tissue microarray profiling indicate the association between overexpressed serum proteins and non-small cell lung cancer.

Integrative proteomics and tissue microarray profiling indicate the association between overexpressed serum proteins and non-small cell lung cancer.
复制标题

综合蛋白质组学和组织微阵列分析表明过度表达的血清蛋白与非小细胞肺癌之间的关联

DOI:
10.1371/journal.pone.0051748
复制
发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Chen H
Chen H
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Liu Y;Luo X;Hu H;Wang R;Sun Y;Zeng R;Chen H

文献摘要

参考文献

被引文献

相似文献

肺癌是全球癌症死亡的主要原因。在临床上,通过对人群的早期发现和风险筛查,可以提高非小细胞肺癌(NSCLC)的治疗水平。为了满足这一需求,在这里,我们描述了广泛的肽水平的分馏加上无标记的定量蛋白质组学的应用,用于发现潜在的肺癌血清生物标志物,并使用组织微阵列分析(TMA)和多反应监测(MRM)检测的后续验证中的验证阶段。使用这些最先进的、目前可用的临床蛋白质组学方法,在发现阶段,我们自信地鉴定了647种血清蛋白,在我们的18个发现样本中,101种蛋白质显示出与NSCLC的统计学显著相关性。这个血清蛋白质组数据集使我们能够辨别肺癌血液中的差异模式和异常生物学过程。在这些蛋白质中,α-1B-糖蛋白(A1 BG)和富含亮氨酸的α-2-糖蛋白(LRG 1),这两种先前功能未知的血浆糖蛋白被选为示例,在由约100名患者组成的大样本集中对其进行TMA和MRM验证。我们发现A1 BG和LRG 1在血液水平和肿瘤切片中均过表达,这可以参考将肺癌患者与健康病例分开。
Lung cancer is the leading cause of cancer deaths worldwide. Clinically, the treatment of non-small cell lung cancer (NSCLC) can be improved by the early detection and risk screening among population. To meet this need, here we describe the application of extensive peptide level fractionation coupled with label free quantitative proteomics for the discovery of potential serum biomarkers for lung cancer, and the usage of Tissue microarray analysis (TMA) and Multiple reaction monitoring (MRM) assays for the following up validations in the verification phase. Using these state-of-art, currently available clinical proteomic approaches, in the discovery phase we confidently identified 647 serum proteins, and 101 proteins showed a statistically significant association with NSCLC in our 18 discovery samples. This serum proteomic dataset allowed us to discern the differential patterns and abnormal biological processes in the lung cancer blood. Of these proteins, Alpha-1B-glycoprotein (A1BG) and Leucine-rich alpha-2-glycoprotein (LRG1), two plasma glycoproteins with previously unknown function were selected as examples for which TMA and MRM verification were performed in a large sample set consisting about 100 patients. We revealed that A1BG and LRG1 were overexpressed in both the blood level and tumor sections, which can be referred to separate lung cancer patients from healthy cases.
DOI: 10.3322/caac.20006
发表时间: 2009-07-01
影响因子: 254.7
作者:
Jemal, Ahmedin;Siegel, Rebecca;Thun, Michael J.
通讯作者: Thun, Michael J.
DOI: 10.1371/journal.pone.0005755
发表时间: 2009-06-01
期刊: PloS one
影响因子: 3.7
作者:
Hong Q;Sze CI;Lin SR;Lee MH;He RY;Schultz L;Chang JY;Chen SJ;Boackle RJ;Hsu LJ;Chang NS
通讯作者: Chang NS
DOI: 10.1002/pmic.200401235
发表时间: 2005-10-01
期刊: PROTEOMICS
影响因子: 3.4
作者:
Colantonio, DA;Dunkinson, C;Van Eyk, JE
通讯作者: Van Eyk, JE
DOI: 10.1002/pmic.200300514
发表时间: 2003-09-01
期刊: PROTEOMICS
影响因子: 3.4
作者:
Howard, BA;Wang, MZ;Patz, EF
通讯作者: Patz, EF
DOI: 10.1002/pmic.200402048
发表时间: 2005-07-01
期刊: PROTEOMICS
影响因子: 3.4
作者:
Fu, Q;Garnham, CP;Van Eyk, JE
通讯作者: Van Eyk, JE