iTRAQ-based quantitative proteomic analysis reveals potential early diagnostic markers of clear-cell Renal cell carcinoma.

iTRAQ-based quantitative proteomic analysis reveals potential early diagnostic markers of clear-cell Renal cell carcinoma.
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DOI:
10.5582/bst.2016.01055
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发表时间:
2016-06
期刊:
影响因子:
5.5
通讯作者:
Limin Zhang;Haowen Jiang;Gang Xu;Nan Chu;N. Xu;H. Wen;Bin Gu;Jun Liu;Shanghua Mao;R. Na;Y. Jing;Q. Ding;Yuan-fang Zhang;Ling Wang
Limin Zhang;Haowen Jiang;Gang Xu;Nan Chu;N. Xu;H. Wen;Bin Gu;Jun Liu;Shanghua Mao;R. Na;Y. Jing;Q. Ding;Yuan-fang Zhang;Ling Wang
中科院分区:
生物学4区
文献类型:
--
作者:
Limin Zhang;Haowen Jiang;Gang Xu;Nan Chu;N. Xu;H. Wen;Bin Gu;Jun Liu;Shanghua Mao;R. Na;Y. Jing;Q. Ding;Yuan-fang Zhang;Ling Wang

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早期发现是改善肾癌预后的关键。本研究使用同量异位素标签进行基于相对和绝对定量(iTRAQ)的质谱分析,分析并鉴定了T1 a期肾细胞癌(RCC)中差异表达的血清蛋白。对总计99份血清样品进行基于iTRAQ的质谱分析,其中包括29名ccRCC患者、24名良性肾肿块患者、28名其他类型泌尿系统肿瘤患者(20例移行细胞癌和8例前列腺癌或男性生殖器肿瘤)和18名健康对照。应用ProteinPilot软件分析肾细胞癌与其他3个人群血清蛋白质的差异表达。然后根据癌症基因组图谱(TCGA)RCC数据库进行分层聚类分析作为跨平台验证。进行免疫组织化学以验证来自这些受试者的组织样品中所选蛋白质的表达。iTRAQ在RCC患者中鉴定了27种差异表达的血清蛋白,其中11种蛋白在TCGA数据库的RCC组织中进行了交叉验证。验证了C1 QC、C1 QB、S100 A8、S100 A9、铜蓝蛋白和Lumican的表达,并与肿瘤分期和/或分级相关。iTRAQ共鉴定出27个差异表达蛋白,其中C1 QC、C1 QB、S100 A8、S100 A9、铜蓝蛋白、Lumican的表达与肿瘤分期和/或分级相关。需要进一步的研究来证实这些数据作为RCC早期检测的生物标志物。
Early detection is the key to improve the prognosis of kidney cancer. This study profiled and identified differentially expressed serum proteins in stage T1a renal cell carcinoma (RCC) using isobaric tags for relative and absolute quantification (iTRAQ)-based mass spectrometry. A total amount of 99 serum samples including 29 patients with ccRCC, 24 patients with a benign kidney mass, 28 patients with another type of urological tumor (20 cases of transitional cell carcinoma and 8 cases of prostate cancer or a male genital tumor), and 18 healthy controls were subjected to iTRAQ-based mass spectrometry. ProteinPilot software was used to identify the differentially expressed serum proteins in RCC compared to the other three populations. Hierarchical clustering analysis according to The Cancer Genome Atlas (TCGA) RCC database was then performed as the cross-platform validation. Immunohistochemistry was performed to verify the expression of selected proteins in tissue samples from these subjects. iTRAQ identified 27 differentially expressed serum proteins in the RCC patients, and 11 of these proteins were cross validated in RCC tissues from the TCGA database. The expression of C1QC, C1QB, S100A8, S100A9, ceruplasmin, and lumican was verified and associated with the tumor stage and/or grade. There were 27 differentially expressed proteins in early-stage RCC identified by iTRAQ; among them, the expression of C1QC, C1QB, S100A8, S100A9, ceruplasmin, and lumican were associated with the tumor stage and/or grade. Further studies are needed to confirm these data for their use as biomarkers for the early detection of RCC.