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在胰腺癌组织特异性 Kras(G12D) 敲入小鼠模型中检测血清学蛋白质组。

Surveying the serologic proteome in a tissue-specific kras(G12D) knockin mouse model of pancreatic cancer.

作者信息

Ludwig Michael R, Kojima Kyoko, Bowersock Gregory J, Chen Dongquan, Jhala Nirag C, Buchsbaum Donald J, Grizzle William E, Klug Christopher A, Mobley James A

机构信息

Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.

出版信息

Proteomics. 2016 Feb;16(3):516-31. doi: 10.1002/pmic.201500133. Epub 2016 Jan 18.

Abstract

We have applied a serologic proteomic workflow involving three complementary MS approaches to a tissue-specific Kras(G12D) -knockin mouse model of pancreatic cancer that consistently forms precancerous lesions by 4 months of age. The three proteomics applications were highly complementary and allowed us to survey the entire range of low to high molecular weight serologic proteins. Combined, we identified 121 (49↓, 72↑) unique and statistically relevant serologic biomarkers with 88% previously reported to be associated with cancer and 38% specifically correlated with pancreatic cancer. Four markers, lysozyme C2, cytokeratin 19, Serpina1A and Pcf11, were further verified by Western blotting. When applying systems analysis, the top-associated gene ontology functions were tied to wound healing, RXR signaling, growth, differentiation and innate immune activation through the JAK/STAT pathway. Upon further investigation of the apparent immune response using a multiplex cytokine screen, we found that IFN-γ, VEGF and GM-CSF were significantly increased in serum from the Kras(G12D) animals compared to littermate controls. By combining three complementary MS applications, we were able to survey the native intact peptidome and the global proteome in parallel, unveiling pathways that may be biologically relevant to promotion of pancreatic cancer progression and serologic markers of noninvasive early-stage neoplasia.

摘要

我们将一种涉及三种互补质谱方法的血清学蛋白质组学工作流程应用于一种组织特异性Kras(G12D)敲入胰腺癌小鼠模型,该模型在4个月大时会持续形成癌前病变。这三种蛋白质组学应用具有高度互补性,使我们能够全面检测低分子量至高分子量的血清学蛋白质。综合起来,我们鉴定出121种(49种减少,72种增加)独特且具有统计学相关性的血清生物标志物,其中88%先前报道与癌症相关,38%与胰腺癌特异性相关。四种标志物,即溶菌酶C2、细胞角蛋白19、丝氨酸蛋白酶抑制剂1A和Pcf11,通过蛋白质印迹法进一步验证。在进行系统分析时,最相关的基因本体功能与伤口愈合、RXR信号传导、生长、分化以及通过JAK/STAT途径的先天免疫激活相关。在使用多重细胞因子筛选进一步研究明显的免疫反应时,我们发现与同窝对照相比,Kras(G12D)动物血清中的干扰素-γ、血管内皮生长因子和粒细胞-巨噬细胞集落刺激因子显著增加。通过结合三种互补的质谱应用,我们能够并行检测天然完整肽组和全局蛋白质组,揭示可能与促进胰腺癌进展在生物学上相关的途径以及非侵入性早期肿瘤的血清学标志物。

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