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将蛋白质组学纳入精准肿瘤学。

Integrating proteomics into precision oncology.

机构信息

Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Int J Cancer. 2021 Mar 15;148(6):1438-1451. doi: 10.1002/ijc.33301. Epub 2020 Sep 25.

DOI:10.1002/ijc.33301
PMID:32949162
Abstract

DNA sequencing and RNA sequencing are increasingly applied in precision oncology, where molecular tumor boards evaluate the actionability of genetic events in individual tumors to guide targeted treatment. To work toward an additional level of patient characterization, we assessed the abundance and activity of 27 proteins in 134 patients whose tumors had previously undergone whole-exome and RNA sequencing within the Molecularly Aided Stratification for Tumor Eradication Research (MASTER) program of National Center for Tumor Diseases, Heidelberg. Proteomic and phosphoproteomic targets were selected to reflect the most relevant therapeutic baskets in MASTER. Among six different therapeutic baskets, the proteomic data supported treatment recommendations that were based on DNA and RNA analyses in 10% to 57% and frequently suggested alternative treatment options. In several cases, protein activities explained the patients' clinical course and provided potential explanations for treatment failure. Our study indicates that the integrative analysis of DNA, RNA and protein data may refine therapeutic stratification of individual patients and, thus, holds potential to increase the success rate of precision cancer therapy. Prospective validation studies are needed to advance the integration of proteomic analysis into precision oncology.

摘要

DNA 测序和 RNA 测序在精准肿瘤学中得到了越来越广泛的应用,分子肿瘤委员会评估个体肿瘤中遗传事件的可操作性,以指导靶向治疗。为了进一步对患者进行特征描述,我们评估了在海德堡国家肿瘤中心肿瘤消除研究分子辅助分层(MASTER)计划中,134 名患者的肿瘤先前经过全外显子组和 RNA 测序的 27 种蛋白质的丰度和活性。蛋白质组学和磷酸蛋白质组学靶标被选择以反映 MASTER 中最相关的治疗篮。在六个不同的治疗篮中,蛋白质组学数据在 10%至 57%的情况下支持基于 DNA 和 RNA 分析的治疗建议,并且经常提出替代治疗方案。在几种情况下,蛋白质活性解释了患者的临床过程,并为治疗失败提供了潜在的解释。我们的研究表明,对 DNA、RNA 和蛋白质数据的综合分析可能会细化个体患者的治疗分层,从而有可能提高精准癌症治疗的成功率。需要前瞻性验证研究来推进蛋白质组学分析在精准肿瘤学中的整合。

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Int J Cancer. 2021 Mar 15;148(6):1438-1451. doi: 10.1002/ijc.33301. Epub 2020 Sep 25.
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