dia-PASEF Proteomics of Tumor and Stroma LMD Enriched from Archived HNSCC Samples

Aswini Panigrahi, Allison L Hunt, Diego Assis, Matthew Willetts, Bhaskar V Kallakury, Bruce Davidson, Thomas P Conrads, Radoslav Goldman
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Abstract

We employed laser microdissection to selectively harvest tumor cells and stroma from the microenvironment of formalin-fixed, paraffin-embedded head and neck squamous cell carcinoma (HNSCC) tissues. The captured HNSCC tissue fractions were analyzed by quantitative mass spectrometry-based proteomics using a data independent analysis approach. In paired samples, we achieved excellent proteome coverage having quantified 6,668 proteins with a median quantitative coefficient of variation under 10%. We observed significant differences in relevant functional pathways between the spatially resolved tumor and stroma regions. Our results identified extracellular matrix (ECM) as a major component enriched in the stroma, including many cancer associated fibroblast signature proteins in this compartment. We demonstrate the potential for comparative deep proteome analysis from very low starting input in a scalable format that is useful to decipher the alterations in tumor and the stromal microenvironment. Correlating such results with clinical features or disease progression will likely enable identification of novel targets for disease classification and interventions.
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从归档 HNSCC 样品中富集的肿瘤和基质 LMD 的 dia-PASEF 蛋白质组学研究
我们采用激光显微切割技术,从福尔马林固定、石蜡包埋的头颈部鳞状细胞癌(HNSCC)组织的微环境中选择性地采集肿瘤细胞和基质。捕获的 HNSCC 组织碎片通过基于质谱的定量蛋白质组学进行了分析,采用的是数据独立分析方法。在配对样本中,我们实现了极好的蛋白质组覆盖率,量化了 6,668 个蛋白质,中位定量变异系数低于 10%。我们观察到空间分辨的肿瘤和基质区域的相关功能通路存在明显差异。我们的研究结果表明,细胞外基质(ECM)是基质中富集的主要成分,包括基质中许多与癌症相关的成纤维细胞特征蛋白。我们展示了以可扩展格式从极低的起始输入进行深度蛋白质组比较分析的潜力,这种分析有助于解读肿瘤和基质微环境的改变。将这些结果与临床特征或疾病进展联系起来,就有可能确定疾病分类和干预的新目标。
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