Mast Cell Association with the Microenvironment of a Phosphaturic Mesenchymal Tumour Secreting Fibroblast Growth Factor 23.

IF 4.4 Q1 Medicine
Andrey Kostin, Alexei Lyundup, Alexander Alekhnovich, Aleksandra Prikhodko, Olga Patsap, Sofia Gronskaia, Zhanna Belaya, Olga Lesnyak, Galina Melnichenko, Natalia Mokrysheva, Igor Buchwalow, Markus Tiemann, Dmitrii Atiakshin
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引用次数: 0

Abstract

Background: Phosphaturic mesenchymal tumours secreting fibroblast growth factor 23 (hereinafter referred to as FGF23+ PMT) are rare neoplasms that can cause hypophosphataemic osteomalacia, owing to excessive FGF23 production. Mast cells (MCs) play a key role in tumour biology by modulating proliferative activity of atypical cells, resistance to innate and acquired immunity, angiogenesis, and metastatic behaviour. However, MCs associated with FGF23+ PMT have not previously been investigated. This study, to our knowledge, is the first to characterise features of the tumour microenvironment through spatial phenotyping of the immune and stromal landscape, together with histotopographic mapping of intercellular MC interactions with other subcellular populations in FGF23+ PMT. Methods: Histochemical staining (haematoxylin and eosin, toluidine blue, Giemsa solution, picro-Mallory protocol, silver impregnation), as well as monoplex and multiplex immunohistochemical staining with spatial phenotyping, were performed to detect atypical FGF23-secreting cells, immune cells (CD3, CD4, CD8, CD14, CD20, CD38, CD68, or CD163), stromal components (CD31, α-SMA, or vimentin), and specific MC proteases (tryptase, chymase, or carboxypeptidase A3). Bioinformatics analysis using artificial intelligence technologies was applied for spatial profiling of MC interactions with tumour, immunocompetent, and stromal cells in the tumour microenvironment. Results: Bioinformatic analysis of the entire tumour histological section, comprising over 70,000 cells stained using monoplex and multiplex immunohistochemical protocols, enabled identification of more than half of the cell population. The most abundant were CD14+ (30.7%), CD163+ (23.2%), and CD31+ (17.9%) cells. Tumour-associated MCs accounted for 0.7% of the total pool of immunopositive cells and included both mucosal and connective tissue subpopulations, predominantly of the tryptase + chymase-CPA3-specific protease phenotype. This pattern reflected combined multidirectional morphogenetic processes in the patient's FGF23+ PMT. More than 50% of MCs were colocalized with neighbouring cells of the tumour microenvironment within 20 μm, most frequently with monocytes (CD14+CD68+), M2 macrophages (CD68+CD163+), and endothelial cells (CD31+). In contrast, colocalization with atypical FGF23-secreting cells was rare, indicating minimal direct effects on tumour cell activity. Interaction with T lymphocytes, including CD8+, was also infrequent, excluding their activation and the development of antitumour effects. Mapping of MC histotopography validated the hypothesis of their inductive role in monocyte differentiation into M2 macrophages and probable polarisation of macrophages from M1 into M2, thereby contributing to slow tumour growth. MCs were further involved in extracellular matrix remodelling and participated in the formation of pro-osteogenic niches within the FGF23+ PMT microenvironment, leading to pathological osteoid development. Conclusions: This study demonstrated active MC participation in the evolution of the FGF23+ PMT microenvironment. The findings may be applied in translational medicine to develop novel algorithms for personalised therapy in patients with FGF23-secreting tumours, offering an alternative when surgical removal of the tumour is not feasible.

肥大细胞与分泌成纤维细胞生长因子23的磷化间充质肿瘤微环境的关联
背景:分泌成纤维细胞生长因子23的磷化间充质肿瘤(以下简称FGF23+ PMT)是一种罕见的肿瘤,由于FGF23分泌过多,可引起低磷性骨软化症。肥大细胞(MCs)通过调节非典型细胞的增殖活性、对先天免疫和获得性免疫的抵抗、血管生成和转移行为,在肿瘤生物学中发挥关键作用。然而,与FGF23+ PMT相关的MCs以前没有被研究过。据我们所知,这项研究首次通过免疫和基质景观的空间表型,以及FGF23+ PMT中细胞间MC与其他亚细胞群体相互作用的组织形貌图来表征肿瘤微环境的特征。方法:采用组织化学染色(血红素和伊红、甲苯胺蓝、Giemsa溶液、picro-Mallory方案、银浸渍)和单、多重免疫组织化学染色(空间表型)检测非典型fgf23分泌细胞、免疫细胞(CD3、CD4、CD8、CD14、CD20、CD38、CD68或CD163)、基质成分(CD31、α-SMA或vimentin)和特异性MC蛋白酶(tryptase、chymase或carboxypeptidase A3)。利用人工智能技术进行生物信息学分析,对肿瘤微环境中MC与肿瘤细胞、免疫活性细胞和基质细胞的相互作用进行空间分析。结果:整个肿瘤组织学切片的生物信息学分析,包括使用单一和多重免疫组化方案染色的超过70,000个细胞,能够识别超过一半的细胞群。CD14+(30.7%)、CD163+(23.2%)和CD31+(17.9%)细胞数量最多。肿瘤相关MCs占免疫阳性细胞总数的0.7%,包括粘膜和结缔组织亚群,主要是胰蛋白酶+乳糜酶- cpa3特异性蛋白酶表型。这种模式反映了患者FGF23+ PMT的多向形态发生过程。超过50%的MCs与肿瘤微环境的邻近细胞共定位在20 μm内,最常见的是单核细胞(CD14+CD68+), M2巨噬细胞(CD68+CD163+)和内皮细胞(CD31+)。相比之下,与非典型fgf23分泌细胞共定位是罕见的,表明对肿瘤细胞活性的直接影响很小。与T淋巴细胞(包括CD8+)的相互作用也不常见,排除了它们的激活和抗肿瘤作用的发展。MC组织地形图的绘制证实了它们诱导单核细胞向M2巨噬细胞分化以及巨噬细胞从M1向M2极化的假设,从而有助于减缓肿瘤的生长。MCs进一步参与细胞外基质重塑,并参与FGF23+ PMT微环境中促成骨龛的形成,导致病理性类骨发育。结论:本研究表明,MC积极参与FGF23+ PMT微环境的进化。这些发现可能应用于转化医学,为分泌fgf23的肿瘤患者开发个性化治疗的新算法,在手术切除肿瘤不可行的情况下提供另一种选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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