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Proteomic portrait of human breast cancer progression identifies novel prognostic markers

机译:人类乳腺癌进展的蛋白质组学肖像确定了新的预后标志物

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Breast cancer is the second leading cause of cancer death for women in the United States. Of the different subtypes, estrogen receptor-negative (ER -) tumors, which are ErbB2+ or triple-negative, carry a relatively poor prognosis. In this study, we used system-wide analysis of breast cancer proteomes to identify proteins that are associated with the progression of ER - tumors. Our two-step approach included an initial deep analysis of cultured cells that were obtained from tumors of defined breast cancer stages, followed by a validation set using human breast tumors. Using high-resolution mass spectrometry and quantification by Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC), we identified 8,750 proteins and quantified 7,800 of them. A stagespecific signature was extracted and validated by mass spectrometry and immunohistochemistry on tissue microarrays. Overall, the proteomics signature reflected both a global loss of tissue architecture and a number of metabolic changes in the transformed cells. Proteomic analysis also identified high levels of IDH2 and CRABP2 and low levels of SEC14L2 to be prognostic markers for overall breast cancer survival. Together, our findings suggest that global proteomic analysis provides information about the protein changes specific to ER - breast tumor progression as well as important prognostic information.
机译:乳腺癌是美国女性癌症死亡的第二大主要原因。在不同的亚型中,ErbB2 +或三阴性的雌激素受体阴性(ER-)肿瘤预后相对较差。在这项研究中,我们使用了乳腺癌蛋白质组的全系统分析来鉴定与ER-肿瘤进展相关的蛋白质。我们的两步方法包括对从定义的乳腺癌阶段的肿瘤中获得的培养细胞进行初步的深度分析,然后使用人乳腺肿瘤进行验证。使用高分辨率质谱法和通过细胞培养物中氨基酸进行稳定同位素标记(SILAC)进行定量,我们鉴定了8​​,750种蛋白质,并对其中的7,800种进行了定量。提取特定阶段的特征并通过质谱和组织微阵列上的免疫组织化学验证。总体而言,蛋白质组学特征既反映了组织结构的整体丧失,也反映了转化细胞中许多代谢变化。蛋白质组学分析还确定高水平的IDH2和CRABP2和低水平的SEC14L2是整体乳腺癌生存的预后标志物。总之,我们的发现表明,整体蛋白质组学分析可提供有关ER特异性蛋白质变化的信息-乳腺肿瘤进展以及重要的预后信息。

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