肿瘤相关中性粒细胞在复发性呼吸道乳头状瘤病发病机制中的作用。

IF 3.6 3区 医学 Q3 CELL BIOLOGY
Yang Xiao, Zijie Niu, Lijing Ma, Jun Wang
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引用次数: 0

摘要

已知中性粒细胞广泛浸润各种肿瘤组织并促进疾病进展。然而,肿瘤相关中性粒细胞在复发性呼吸道乳头状瘤病发病机制中的作用尚不清楚。本研究旨在探讨肿瘤相关中性粒细胞的预后意义,并探讨其在复发性呼吸道乳头状瘤病发病机制中的作用。免疫组化法检测RRP肿瘤组织中中性粒细胞浸润强度。采用多因素logistic回归分析评价肿瘤相关中性粒细胞与患者预后的关系。流式细胞术检测中性粒细胞表型。此外,用肿瘤相关的中性粒细胞和外周T细胞进行共培养试验,以评估它们的功能相互作用。免疫组化分析显示复发性呼吸道乳头状瘤患者肿瘤组织内中性粒细胞密度明显增高。在侵袭性复发性呼吸道乳头状瘤患者中观察到中性粒细胞计数、中性粒细胞与淋巴细胞比值和肿瘤相关的中性粒细胞浸润升高。多因素logistic回归确定中性粒细胞浸润程度是这些患者侵袭性临床病程的独立危险因素。此外,肿瘤相关的中性粒细胞表达高水平的CXCR1、CXCR2和精氨酸酶1,表明肿瘤表型,以及免疫抑制分子PD-L1水平升高。功能上,这些肿瘤相关的中性粒细胞有效地抑制t细胞的增殖、活化和细胞因子的分泌。因此,肿瘤相关的中性粒细胞在培养免疫抑制微环境中起着至关重要的作用,使肿瘤免疫逃避。这个过程启动了一个正反馈循环,肿瘤细胞分泌趋化因子来招募更多的中性粒细胞,从而进一步加速肿瘤的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of tumor-associated neutrophils in the pathogenesis of recurrent respiratory papillomatosis.

Neutrophils are known to infiltrate various tumor tissues extensively and contribute to disease progression. However, the role of tumor-associated neutrophils in the pathogenesis of recurrent respiratory papillomatosis remains unclear. This study aimed to explore the prognostic significance of tumor-associated neutrophils and examine their role in the pathogenesis of recurrent respiratory papillomatosis. Immunohistochemistry was employed to assess the intensity of neutrophil infiltration in RRP tumor tissues. Multifactorial logistic regression analysis was conducted to evaluate the relationship between tumor-associated neutrophils and patient prognosis. Flow cytometry analysis was used to examine the phenotype of neutrophils. Additionally, coculture assays were performed with tumor-associated neutrophils and peripheral T cells to assess their functional interactions. Immunohistochemical analysis revealed that patients with recurrent respiratory papillomatosis exhibited significantly higher neutrophil densities within tumor tissues. Elevated neutrophil counts, neutrophil-to-lymphocyte ratio, and tumor-associated neutrophil infiltration were observed in patients with more aggressive forms of recurrent respiratory papillomatosis. Multivariate logistic regression identified the extent of neutrophil infiltration as an independent risk factor for an aggressive clinical course in these patients. Furthermore, tumor-associated neutrophils expressed high levels of CXCR1, CXCR2, and arginase 1, indicating a protumor phenotype, along with elevated levels of PD-L1, an immunosuppressive molecule. Functionally, these tumor-associated neutrophils effectively suppressed T-cell proliferation, activation, and cytokine secretion. Thus, tumor-associated neutrophils play a crucial role in fostering an immunosuppressive microenvironment that enables tumor immune evasion. This process initiates a positive feedback loop, where tumor cells secrete chemokines to recruit more neutrophils, thereby further accelerating tumor progression.

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来源期刊
Journal of Leukocyte Biology
Journal of Leukocyte Biology 医学-免疫学
CiteScore
11.50
自引率
0.00%
发文量
358
审稿时长
2 months
期刊介绍: JLB is a peer-reviewed, academic journal published by the Society for Leukocyte Biology for its members and the community of immunobiologists. The journal publishes papers devoted to the exploration of the cellular and molecular biology of granulocytes, mononuclear phagocytes, lymphocytes, NK cells, and other cells involved in host physiology and defense/resistance against disease. Since all cells in the body can directly or indirectly contribute to the maintenance of the integrity of the organism and restoration of homeostasis through repair, JLB also considers articles involving epithelial, endothelial, fibroblastic, neural, and other somatic cell types participating in host defense. Studies covering pathophysiology, cell development, differentiation and trafficking; fundamental, translational and clinical immunology, inflammation, extracellular mediators and effector molecules; receptors, signal transduction and genes are considered relevant. Research articles and reviews that provide a novel understanding in any of these fields are given priority as well as technical advances related to leukocyte research methods.
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