Blanco Ester, Ibañez-Vea Maria, Hernandez Carlos, Drici Lylia, Martínez de Morentin Xabier, Gato Maria, Ausin Karina, Bocanegra Ana, Zuazo Miren, Chocarro Luisa, Arasanz Hugo, Fernandez-Hinojal Gonzalo, Fernandez-Irigoyen Joaquin, Smerdou Cristian, Garnica Maider, Echaide Miriam, Fernandez Leticia, Morente Pilar, Ramos-Castellanos Pablo, Llopiz Diana, Santamaria Enrique, Larsen Martin R, Escors David, Kochan Grazyna
Oncoimmunology Group, Navarrabiomed, Fundación Miguel Servet-Complejo Hospitalario de Navarra UPNA-IdISNA, 31008 Pamplona, Spain.
Genetics, Genomics and Microbiology Research Group, Institute for Multidisciplinary Research in Applied Biology (IMAB-UPNA), University Public of Navarre, Campus Arrosadía, 31006 Pamplona, Spain.
J Pers Med. 2021 Jun 11;11(6):542. doi: 10.3390/jpm11060542.
Monocytic and granulocytic myeloid-derived suppressor cells together with tumor-infiltrating macrophages constitute the main tumor-infiltrating immunosuppressive myeloid populations. Due to the phenotypic resemblance to conventional myeloid cells, their identification and purification from within the tumors is technically difficult and makes their study a challenge. We differentiated myeloid cells modeling the three main tumor-infiltrating types together with uncommitted macrophages, using ex vivo differentiation methods resembling the tumor microenvironment. The phenotype and proteome of these cells was compared to identify linage-dependent relationships and cancer-specific interactome expression modules. The relationships between monocytic MDSCs and TAMs, monocytic MDSCs and granulocytic MDSCs, and hierarchical relationships of expression networks and transcription factors due to lineage and cancer polarization were mapped. Highly purified immunosuppressive myeloid cell populations that model tumor-infiltrating counterparts were systematically analyzed by quantitative proteomics. Full functional interactome maps have been generated to characterize at high resolution the relationships between the three main myeloid tumor-infiltrating cell types. Our data highlights the biological processes related to each cell type, and uncover novel shared and differential molecular targets. Moreover, the high numbers and fidelity of ex vivo-generated subsets to their natural tumor-shaped counterparts enable their use for validation of new treatments in high-throughput experiments.
单核细胞和粒细胞来源的髓系抑制细胞与肿瘤浸润巨噬细胞共同构成了主要的肿瘤浸润性免疫抑制性髓系细胞群体。由于其与传统髓系细胞在表型上相似,从肿瘤内部对它们进行鉴定和纯化在技术上具有难度,这使得对它们的研究成为一项挑战。我们使用类似于肿瘤微环境的体外分化方法,将模拟三种主要肿瘤浸润类型的髓系细胞与未定向的巨噬细胞进行分化。比较这些细胞的表型和蛋白质组,以确定谱系依赖性关系和癌症特异性相互作用组表达模块。绘制了单核细胞来源的髓系抑制细胞(MDSCs)与肿瘤相关巨噬细胞(TAMs)之间、单核细胞来源的MDSCs与粒细胞来源的MDSCs之间的关系,以及由于谱系和癌症极化导致的表达网络和转录因子的层次关系。通过定量蛋白质组学系统地分析了模拟肿瘤浸润对应物的高度纯化的免疫抑制性髓系细胞群体。已经生成了完整的功能相互作用组图谱,以高分辨率表征三种主要的肿瘤浸润性髓系细胞类型之间的关系。我们的数据突出了与每种细胞类型相关的生物学过程,并揭示了新的共同和差异分子靶点。此外,体外产生的亚群数量众多且与天然肿瘤形成的对应物高度相似,这使得它们能够用于高通量实验中的新治疗方法的验证。