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科学家绘制出乳腺癌肿瘤发生和靶向治疗的蛋白基因组学图谱
作者:小柯机器人 发布时间:2020/11/20 14:37:37

美国博德研究所Michael A. Gillette等研究人员合作绘制出乳腺癌肿瘤发生和靶向治疗的蛋白基因组学图谱。相关论文于2020年11月18日在线发表在《细胞》杂志上。

研究人员表示,基于质谱的蛋白质组学与下一代DNA和RNA测序的集成可更全面地分析肿瘤。
 
研究人员发现,这种“蛋白质组学”方法适用于122种未经治疗的原发性乳腺癌,这些乳腺癌可保留翻译后修饰,包括蛋白质磷酸化和乙酰化。蛋白质组学挑战了标准的乳腺癌诊断,提供了对ERBB2扩增子的详细分析,确定了可从免疫检查点治疗中受益的肿瘤亚群,并能够更准确地评估Rb的状态以预测CDK4/6抑制剂的反应性。磷酸化蛋白质组学分析发现了肿瘤抑制因子丧失与可靶向激酶之间的新型关联。
 
乙酰蛋白质组分析突出显示了参与DNA损伤反应的关键核蛋白的乙酰化作用,并揭示了细胞质和线粒体乙酰化作用与代谢之间的相互影响。这些结果通过更准确地注释可靶向途径和这种显著异质性恶性肿瘤的生物学特征,突出了蛋白质组学在乳腺癌临床研究中的潜力。
 
附:英文原文

Title: Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy

Author: Karsten Krug, Eric J. Jaehnig, Shankha Satpathy, Lili Blumenberg, Alla Karpova, Meenakshi Anurag, George Miles, Philipp Mertins, Yifat Geffen, Lauren C. Tang, David I. Heiman, Song Cao, Yosef E. Maruvka, Jonathan T. Lei, Chen Huang, Ramani B. Kothadia, Antonio Colaprico, Chet Birger, Jarey Wang, Yongchao Dou, Bo Wen, Zhiao Shi, Yuxing Liao, Maciej Wiznerowicz, Matthew A. Wyczalkowski, Xi Steven Chen, Jacob J. Kennedy, Amanda G. Paulovich, Mathangi Thiagarajan, Christopher R. Kinsinger, Tara Hiltke, Emily S. Boja, Mehdi Mesri, Ana I. Robles, Henry Rodriguez, Thomas F. Westbrook, Li Ding, Gad Getz, Karl R. Clauser, David Feny, Kelly V. Ruggles, Bing Zhang, D.R. Mani, Steven A. Carr, Matthew J. Ellis, Michael A. Gillette, Shayan C. Avanessian, Shuang Cai, Daniel Chan, Xian Chen, Nathan J. Edwards, Andrew N. Hoofnagle, M. Harry Kane, Karen A. Ketchum, Eric Kuhn, Douglas A. Levine, Shunqiang Li, Daniel C. Liebler, Tao Liu, Jingqin Luo, Subha Madhavan, Chris Maher, Jason E. McDermott, Peter B. McGarvey, Mauricio Oberti, Akhilesh Pandey, Samuel H. Payne, David F. Ransohoff, Robert C. Rivers, Karin D. Rodland, Paul Rudnick, Melinda E. Sanders, Kenna M. Shaw, Ie-Ming Shih, Robbert J.C. Slebos, Richard D. Smith, Michael Snyder, Stephen E. Stein, David L. Tabb

Issue&Volume: 2020-11-18

Abstract: The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively. Here this “proteogenomics” approach was applied to 122 treatment-naive primary breast cancers accrued to preserve post-translational modifications, including protein phosphorylation and acetylation. Proteogenomics challenged standard breast cancer diagnoses, provided detailed analysis of the ERBB2 amplicon, defined tumor subsets that could benefit from immune checkpoint therapy, and allowed more accurate assessment of Rb status for prediction of CDK4/6 inhibitor responsiveness. Phosphoproteomics profiles uncovered novel associations between tumor suppressor loss and targetable kinases. Acetylproteome analysis highlighted acetylation on key nuclear proteins involved in the DNA damage response and revealed cross-talk between cytoplasmic and mitochondrial acetylation and metabolism. Our results underscore the potential of proteogenomics for clinical investigation of breast cancer through more accurate annotation of targetable pathways and biological features of this remarkably heterogeneous malignancy.

DOI: 10.1016/j.cell.2020.10.036

Source: https://www.cell.com/cell/fulltext/S0092-8674(20)31400-8

期刊信息
Cell:《细胞》,创刊于1974年。隶属于细胞出版社,最新IF:36.216
官方网址:https://www.cell.com/