Carvalho Ana Sofia, Moraes Maria Carolina Strano, Hyun Na Chan, Fierro-Monti Ivo, Henriques Andreia, Zahedi Sara, Bodo Cristian, Tranfield Erin M, Sousa Ana Laura, Farinho Ana, Rodrigues Luís Vaz, Pinto Paula, Bárbara Cristina, Mota Leonor, Abreu Tiago Tavares de, Semedo Júlio, Seixas Susana, Kumar Prashant, Costa-Silva Bruno, Pandey Akhilesh, Matthiesen Rune
Computational and Experimental Biology Group, Chronic Diseases Research Centre, NOVA Medical School, Faculdade de Ciencias Medicas, Universidade NOVA de Lisboa, Campo dos Martires da Patria, 130, 1169-056 Lisboa, Portugal.
Systems Oncology Group, Champalimaud Research, Champalimaud Centre for the Unknown, Av. Brasilia, Doca de Pedroucos, 1400-038 Lisbon, Portugal.
Cancers (Basel). 2020 Nov 20;12(11):3450. doi: 10.3390/cancers12113450.
Acellular bronchoalveolar lavage (BAL) proteomics can partially separate lung cancer from non-lung cancer patients based on principal component analysis and multivariate analysis. Furthermore, the variance in the proteomics data sets is correlated mainly with lung cancer status and, to a lesser extent, smoking status and gender. Despite these advances BAL small and large extracellular vehicles (EVs) proteomes reveal aberrant protein expression in paracrine signaling mechanisms in cancer initiation and progression. We consequently present a case-control study of 24 bronchoalveolar lavage extracellular vesicle samples which were analyzed by state-of-the-art liquid chromatography-mass spectrometry (LC-MS). We obtained evidence that BAL EVs proteome complexity correlated with lung cancer stage 4 and mortality within two years´ follow-up ( value = 0.006). The potential therapeutic target DNMT3B complex is significantly up-regulated in tumor tissue and BAL EVs. The computational analysis of the immune and fibroblast cell markers in EVs suggests that patients who deceased within the follow-up period display higher marker expression indicative of innate immune and fibroblast cells (four out of five cases). This study provides insights into the proteome content of BAL EVs and their correlation to clinical outcomes.
无细胞支气管肺泡灌洗(BAL)蛋白质组学可基于主成分分析和多变量分析,部分区分肺癌患者与非肺癌患者。此外,蛋白质组数据集的差异主要与肺癌状态相关,在较小程度上与吸烟状态和性别相关。尽管有这些进展,但BAL中小细胞外囊泡(sEVs)和大细胞外囊泡(lEVs)的蛋白质组揭示了癌症发生和发展过程中旁分泌信号机制中异常的蛋白质表达。因此,我们开展了一项病例对照研究,对24份支气管肺泡灌洗细胞外囊泡样本进行了分析,采用了最先进的液相色谱-质谱联用(LC-MS)技术。我们获得的证据表明,BAL细胞外囊泡蛋白质组的复杂性与肺癌4期及两年随访期内的死亡率相关(P值=0.006)。潜在的治疗靶点DNMT3B复合物在肿瘤组织和BAL细胞外囊泡中显著上调。对细胞外囊泡中免疫和成纤维细胞标志物的计算分析表明,随访期内死亡的患者显示出更高的标志物表达,表明存在先天免疫和成纤维细胞(五例中有四例)。本研究深入探讨了BAL细胞外囊泡的蛋白质组内容及其与临床结果的相关性。