Laboratório Nacional de Biociências - LNBio, Centro Nacional de Pesquisa em Energia e Materiais - CNPEM, Campinas, SP, 13083-100, Brazil.
Laboratório de Bioinformática e Biologia Computacional, Divisão de Pesquisa Experimental e Translacional, Instituto Nacional do Câncer - INCA, Rio de Janeiro, RJ, 20231-050, Brazil.
Nat Commun. 2022 Nov 7;13(1):6725. doi: 10.1038/s41467-022-34407-1.
The poor prognosis of head and neck cancer (HNC) is associated with metastasis within the lymph nodes (LNs). Herein, the proteome of 140 multisite samples from a 59-HNC patient cohort, including primary and matched LN-negative or -positive tissues, saliva, and blood cells, reveals insights into the biology and potential metastasis biomarkers that may assist in clinical decision-making. Protein profiles are strictly associated with immune modulation across datasets, and this provides the basis for investigating immune markers associated with metastasis. The proteome of LN metastatic cells recapitulates the proteome of the primary tumor sites. Conversely, the LN microenvironment proteome highlights the candidate prognostic markers. By integrating prioritized peptide, protein, and transcript levels with machine learning models, we identify nodal metastasis signatures in blood and saliva. We present a proteomic characterization wiring multiple sites in HNC, thus providing a promising basis for understanding tumoral biology and identifying metastasis-associated signatures.
头颈部癌症（HNC）预后不良与淋巴结（LNs）内转移有关。在此，对来自 59 例 HNC 患者队列的 140 个多部位样本的蛋白质组进行了分析，包括原发组织和匹配的 LN 阴性或阳性组织、唾液和血细胞，揭示了肿瘤生物学和潜在转移生物标志物的相关见解，这些标志物可能有助于临床决策。蛋白质图谱与数据集之间的免疫调节严格相关，这为研究与转移相关的免疫标志物提供了基础。LN 转移细胞的蛋白质组再现了原发肿瘤部位的蛋白质组。相反，LN 微环境蛋白质组突出了候选预后标志物。通过整合优先肽、蛋白质和转录本水平与机器学习模型，我们在血液和唾液中鉴定出了与淋巴结转移相关的特征。我们对头颈部癌症的多个部位进行了蛋白质组学特征描述，从而为理解肿瘤生物学和鉴定与转移相关的特征提供了有前途的基础。
