临床蛋白质组学揭示了非侵袭性乳腺导管癌的脆弱性,并推动了个性化的治疗策略。

IF 2 Q3 ONCOLOGY
Georgia Mitsa, Livia Florianova, Josiane Lafleur, Adriana Aguilar-Mahecha, Rene P Zahedi, Sonia V Del Rincon, Mark Basik, Christoph H Borchers, Gerald Batist
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引用次数: 0

摘要

导管原位癌(DCIS)是女性中最常见的非侵袭性乳腺病变类型(80%)。缺乏有效的预后标志物、有限的患者数量和可变的组织质量对诊断、风险分层、患者入组和临床研究结果有重大影响。在这里,我们对50例临床福尔马林固定石蜡包埋活检进行了无标记定量蛋白质组学,验证了来自独立遗传研究的22个假定的生物标志物。我们的综合蛋白质组学表型分析揭示了380多种差异表达蛋白和代谢脆弱性,可以为DCIS和浸润性导管癌(IDC)提供新的治疗策略。由于蛋白质和代谢酶或代谢抑制剂的易药物性质,该研究是临床研究和制药行业的高度兴趣。为了进一步评估我们的发现,并促进我们研究的临床转化,我们开发了一种高度多重靶向的蛋白质组学分析,用于90种与癌症代谢、RNA调节和标志性癌症途径相关的蛋白质,如PI3K/AKT/mTOR和EGFR/RAS/RAF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical Proteomics Reveals Vulnerabilities in Noninvasive Breast Ductal Carcinoma and Drives Personalized Treatment Strategies.

Abstract: Ductal carcinoma in situ (DCIS) is the most common type (80%) of noninvasive breast lesions in women. The lack of validated prognostic markers, limited patient numbers, and variable tissue quality have a significant impact on the diagnosis, risk stratification, patient enrollment, and results of clinical studies. In this study, we performed label-free quantitative proteomics on 50 clinical formalin-fixed, paraffin-embedded biopsies, validating 22 putative biomarkers from independent genetic studies. Our comprehensive proteomic phenotyping reveals more than 380 differentially expressed proteins and metabolic vulnerabilities, which can inform new therapeutic strategies for DCIS and invasive ductal carcinoma. Due to the readily druggable nature of proteins and metabolic enzymes or metabolism inhibitors, this study is of high interest for clinical research and the pharmaceutical industry. To further evaluate our findings, and to promote the clinical translation of our study, we developed a highly multiplexed targeted proteomics assay for 90 proteins associated with cancer metabolism, RNA regulation, and signature cancer pathways, such as PI3K/AKT/mTOR and EGFR/RAS/RAF.

Significance: This study provides real-world evidence for DCIS, a disease for which currently no molecular tools or biomarkers exist, and gives an unbiased, comprehensive, and deep proteomic profile, identifying >380 actionable targets.

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