Quantitative proteomics in resected renal cancer tissue for biomarker discovery and profiling.
Quantitative proteomics in resected renal cancer tissue for biomarker discovery and profiling.
复制标题
切除的肾癌组织中的定量蛋白质组学用于生物标志物发现和分析。
DOI：
10.1038/bjc.2014.24
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发表时间：
2014-03-18
影响因子：
8.8
通讯作者：
Nabi, G.
中科院分区：
文献类型：
--
作者：
Atrih, A.;Mudaliar, M. A. V.;Zakikhani, P.;Lamont, D. J.;Huang, J. T-J;Bray, S. E.;Barton, G.;Fleming, S.;Nabi, G.
基于蛋白质组学的生物标志物发现方法是用于癌症研究的有前途的策略。我们提出了一种最先进的无标记定量蛋白质组学方法来评估肾细胞癌（RCC）与非癌肾组织相比的蛋白质组。从手术切除的带瘤肾脏获得来自八个原发性RCC病变的新鲜冷冻组织样品和自体邻近正常肾组织。使用过滤辅助样品制备（FASP）方法，通过完全溶解组织来提取蛋白质。使用定量无标记蛋白质组学方法分析胰蛋白酶消化的蛋白质，然后进行数据解释和途径分析。总共鉴定了1761种蛋白质，并以高置信度定量（MASCOT离子评分阈值为35，P值<0.05）。其中，596个蛋白质被鉴定为在癌组织和非癌组织之间差异表达。肿瘤样本中两种上调的蛋白质（脂肪分化相关蛋白和冠状蛋白1A）通过免疫组织化学进一步验证。使用IPA，KOBAS 2.0，大卫功能注释和FLink工具进行的通路分析显示，许多癌症相关的生物学过程和通路（如氧化磷酸化，糖酵解和氨基酸合成通路）富集。本研究采用无标记蛋白质组学方法，在肾细胞癌组织中发现了一些与正常组织相比差异表达的蛋白质和通路。本研究中验证的两种蛋白质是大型患者队列中正在进行的研究的重点。
Proteomics-based approaches for biomarker discovery are promising strategies used in cancer research. We present state-of-art label-free quantitative proteomics method to assess proteome of renal cell carcinoma (RCC) compared with noncancer renal tissues. Fresh frozen tissue samples from eight primary RCC lesions and autologous adjacent normal renal tissues were obtained from surgically resected tumour-bearing kidneys. Proteins were extracted by complete solubilisation of tissues using filter-aided sample preparation (FASP) method. Trypsin digested proteins were analysed using quantitative label-free proteomics approach followed by data interpretation and pathways analysis. A total of 1761 proteins were identified and quantified with high confidence (MASCOT ion score threshold of 35 and P-value <0.05). Of these, 596 proteins were identified as differentially expressed between cancer and noncancer tissues. Two upregulated proteins in tumour samples (adipose differentiation-related protein and Coronin 1A) were further validated by immunohistochemistry. Pathway analysis using IPA, KOBAS 2.0, DAVID functional annotation and FLink tools showed enrichment of many cancer-related biological processes and pathways such as oxidative phosphorylation, glycolysis and amino acid synthetic pathways. Our study identified a number of differentially expressed proteins and pathways using label-free proteomics approach in RCC compared with normal tissue samples. Two proteins validated in this study are the focus of on-going research in a large cohort of patients.
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影响因子：
7
作者：
Masui, Olena;White, Nicole M. A.;Yousef, George M.
通讯作者：
Yousef, George M.
DOI：
10.1186/1756-9966-28-20
发表时间：
2009-02-16
期刊：
Journal of experimental & clinical cancer research : CR
影响因子：
--
作者：
Kim J;Hong SJ;Lim EK;Yu YS;Kim SW;Roh JH;Do IG;Joh JW;Kim DS
通讯作者：
Kim DS
DOI：
10.1186/bcr3136
发表时间：
2012-03-08
期刊：
Breast cancer research : BCR
影响因子：
--
作者：
King SI;Purdie CA;Bray SE;Quinlan PR;Jordan LB;Thompson AM;Meek DW
通讯作者：
Meek DW
影响因子：
82.9
作者：
Chinetti, G;Lestavel, S;Staels, B
通讯作者：
Staels, B
影响因子：
14.8
作者：
Huang, Da Wei;Sherman, Brad T.;Lempicki, Richard A.
通讯作者：
Lempicki, Richard A.