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.
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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
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Chen H
中科院分区:
文献类型:
--
作者:
Liu Y;Luo X;Hu H;Wang R;Sun Y;Zeng R;Chen H
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.
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影响因子:
254.7
作者:
Jemal, Ahmedin;Siegel, Rebecca;Thun, Michael J.
通讯作者:
Thun, Michael J.
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
影响因子:
3.4
作者:
Colantonio, DA;Dunkinson, C;Van Eyk, JE
通讯作者:
Van Eyk, JE
影响因子:
3.4
作者:
Howard, BA;Wang, MZ;Patz, EF
通讯作者:
Patz, EF
影响因子:
3.4
作者:
Fu, Q;Garnham, CP;Van Eyk, JE
通讯作者:
Van Eyk, JE