卵巢癌患者的全身炎症模式:细胞因子、趋化因子和微颗粒分析

Aline Evangelista Santiago, Sálua Oliveira Calil de Paula, Andréa Teixeira de Carvalho, Eduardo Batista Cândido, Rafaela de Souza Furtado, Agnaldo Lopes da Silva Filho
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引用次数: 0

摘要

目的比较患有上皮性卵巢癌(EOC)或无恶性疾病证据的妇女的全身炎症反应模式,以及评估1型和2型肿瘤的全身炎症反应概况。这是一种非侵入性的间接方法,既能评估肿瘤活性,也能评估炎症模式在促癌和抗癌反应中的作用:我们对 56 名患者进行了前瞻性评估:材料: 我们对 56 名患者进行了前瞻性评估:30 名无恶性疾病证据的妇女和 26 名患有 EOC 的妇女。使用流式细胞术对血浆中的细胞因子、趋化因子和微颗粒(MPs)进行了定量分析:结果:EOC 患者血浆中的促炎症细胞因子白细胞介素-12(IL12)、白细胞介素-6(IL-6)、肿瘤坏死因子α(TNF-α)、白细胞介素-1β(IL-1β)、白细胞介素-10(IL-10)、C-X-C 矩阵趋化因子配体 9(CXCL-9)和 C-X-C 矩阵趋化因子配体 10(CXCL-10)的水平明显高于对照组。EOC患者血浆中细胞因子白细胞介素-17A(IL-17A)和来自内皮细胞的MPs水平低于对照组。在 2 型肿瘤中,白细胞和内皮细胞衍生的 MPs 的频率高于无恶性肿瘤的患者。我们观察到,在 EOC 病例中,炎症/调节细胞因子和趋化因子的数量明显增加,它们之间还存在负相关和正相关关系,这导致这些网络的复杂性更高:本研究表明,通过由细胞因子、趋化因子和多巴胺组成的网络的发展,EOC 患者的全身炎症反应更强,而且这些生物标志物在 2 型肿瘤中的相关性更复杂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systemic Inflammatory Patterns in Ovarian Cancer Patients: Analysis of Cytokines, Chemokines, and Microparticles.

Objective:  To compare the patterns of systemic inflammatory response in women with epithelial ovarian cancer (EOC) or no evidence of malignant disease, as well as to evaluate the profile of systemic inflammatory responses in type-1 and type-2 tumors. This is a non-invasive and indirect way to assess both tumor activity and the role of the inflammatory pattern during pro- and antitumor responses.

Materials and methods:  We performed a prospective evaluation of 56 patients: 30 women without evidence of malignant disease and 26 women with EOC. The plasma quantification of cytokines, chemokines, and microparticles (MPs) was performed using flow cytometry.

Results:  Plasma levels of proinflammatory cytokines interleukin-12 (IL12), interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α) interleukin-1 beta (IL-1β), and interleukin-10 (IL-10), and C-X-C motif chemokine ligand 9 (CXCL-9) and C-X-C motif chemokine ligand 10 (CXCL-10) were significantly higher in patients with EOC than in those in the control group. Plasma levels of cytokine interleukin-17A (IL-17A) and MPs derived from endothelial cells were lower in patients with EOC than in the control group. The frequency of leukocytes and MPs derived from endothelial cells was higher in type-2 tumors than in those without malignancy. We observed an expressive number of inflammatory/regulatory cytokines and chemokines in the cases of EOC, as well as negative and positive correlations involving them, which leads to a higher complexity of these networks.

Conclusion:  The present study showed that, through the development of networks consisting of cytokines, chemokines, and MPs, there is a greater systemic inflammatory response in patients with EOC and a more complex correlation of these biomarkers in type-2 tumors.

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