ddpys3是低claudin乳腺癌的一种多功能调节剂

Ryoichi Matsunuma, M. Ellis
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摘要

蛋白质基因组学是将基于质谱的散弹枪蛋白质组学和磷酸化蛋白质组学的数据整合到下一代RNA和DNA测序数据分析管道中的领域,有望为癌症生物学和治疗靶向提供新的见解。除了用于疾病表型关联分析的临床样本分析外,蛋白质基因组学在模型系统中的应用也具有相当大的潜力。在免疫抑制小鼠株中产生的患者源性异种移植物(PDX)为分析乳腺癌固有亚型的生物学特性提供了有用的环境,因为这种方法有效地捕获了这种疾病的生物学多样性[1]。临床蛋白质组学肿瘤分析联盟(CPTAC)在WHIM系列PDXs肿瘤中生成了基于i-TRAQ质谱的定量蛋白质组学和磷酸化蛋白质组学数据,这些数据与RNA和DNA测序信息相结合,提供了集成的蛋白质基因组图谱[2]。在此,我们对这些数据进行了研究,以确定蛋白质基因组数据中的极端异常值,这些异常值是Claudin-low (CLOW)亚型特异性的,以前没有在乳腺癌中进行过研究。whab12乳腺癌PDX先前被归类为基于转录组学分析的高置信度CLOW肿瘤。一项CPTAC蛋白质基因组学分析将二氢嘧啶样蛋白-3 (DPYSL3)作为三阴性乳腺癌CLOW亚群特异性的多水平(RNA/蛋白/磷酸化蛋白)表达异常值。这些数据表明,高水平的DPYSL3表达和超磷酸化与CLOW乳腺癌相关,因此DPYSL3可能调节该亚型的一些独特生物学特征。在我们看来,利用文献搜索引擎对多层组学数据进行三角排列,以识别新的、可靶向的癌症生物学的发现方法应该得到更广泛的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DPYSL3 is a mutifunctional modulator in claudin-low breast cancer
Proteogenomics is the field of integrating data from mass spectrometry-based shotgun proteomics, and phosphoproteomics into next-generation RNA and DNA sequencing data analysis pipelines that promises new insights into cancer biology and therapeutic targeting. As well as analyses of clinical samples for disease phenotype association analysis, the application of proteogenomics to model systems also has considerable potential. Patient-derived xenografts (PDX) generated in immunosuppressed mice strains provide a useful setting to analyze the biological properties of the intrinsic subtypes of breast cancer because this approach effectively captures the biological diversity of this disease [1]. The Clinical Proteomic Tumor Analysis Consortium (CPTAC) generated quantitative i-TRAQ mass spectrometry-based proteomics and phosphoproteomics data across the WHIM series of PDXs tumors that was combined with RNA and DNA sequencing information to provide integrated proteogenomic profiles [2]. Herein we explored these data to identify extreme outliers in the proteogenomic data that were Claudin-low (CLOW) subtype-specific and had not previously studied in breast cancer. WHIM12 breast cancer PDX was previously classified as a high confidence CLOW tumor based on transcriptomic profiling [2]. A CPTAC proteogenomic analysis prioritized dihydropyrimidinaselike-3 (DPYSL3) as a multi-level (RNA/Protein/Phosphoprotein) expression outlier specific to the CLOW subset of triple negative breast cancers. These data suggested high-levels of DPYSL3 expression and hyper-phosphorylation were associated with CLOW breast cancer and thus DPYSL3 may regulate some of the unique biological features of this subtype. In our view, discovery approaches that trangulate multiple tiers of ‘omics data with literature search engines to identify novel and targetable cancer biology should be more widely applied.
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