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黑色素瘤患者肝脏和外周免疫细胞分泌肿瘤抑制性细胞外囊泡的证据。

Evidence for liver and peripheral immune cells secreting tumor-suppressive extracellular vesicles in melanoma patients.

机构信息

Department of Dermatology, University Hospital Erlangen, Hartmannstr. 14, 91054 Erlangen, Germany.

Department of Dermatology, University Hospital Erlangen, Hartmannstr. 14, 91054 Erlangen, Germany.

出版信息

EBioMedicine. 2020 Dec;62:103119. doi: 10.1016/j.ebiom.2020.103119. Epub 2020 Nov 23.

Abstract

BACKGROUND

Before and after surgery melanoma patients harbor elevated levels of extracellular vesicles in plasma (pEV), suppressing tumor cell activity. However, due to technical reasons and lack of cell-specific biomarkers, their cellular origin remains obscure.

METHODS

We mimicked the interaction of tumor cells with liver cells and PBMC in vitro, and compared newly secreted EV-associated miRNAs and protein factors with those detected in melanoma patient`s pEV.

FINDINGS

Our results suggest that pEV from melanoma patients are secreted in part by residual or relapsing tumor cells, but also by liver and peripheral blood mononuclear cells (PBMC). Our approach identified factors that were seemingly associated either with tumor cell activity, or the counteracting immune system, including liver cells. Notably, the presence/absence of these factors correlated with the clinical stage and tumor relapse.

INTERPRETATION

Our study may provide new insights into the innate immune defense against tumor cells and implies that residual tumor cells could be more active than previously thought. In addition we provide some preliminary evidence that pEV marker patterns could be used to predict cancer relapse.

摘要

背景

黑色素瘤患者在手术前后血浆中的细胞外囊泡(pEV)水平升高,抑制肿瘤细胞活性。然而,由于技术原因和缺乏细胞特异性生物标志物,其细胞来源仍不清楚。

方法

我们在体外模拟了肿瘤细胞与肝细胞和 PBMC 的相互作用,并比较了新分泌的 EV 相关 miRNA 和蛋白因子与黑色素瘤患者 pEV 中检测到的因子。

结果

我们的结果表明,黑色素瘤患者的 pEV 部分是由残留或复发的肿瘤细胞分泌的,但也由肝细胞和外周血单核细胞(PBMC)分泌。我们的方法鉴定了似乎与肿瘤细胞活性或拮抗免疫系统相关的因子,包括肝细胞。值得注意的是,这些因子的存在/缺失与临床分期和肿瘤复发相关。

解释

我们的研究可能为固有免疫防御肿瘤细胞提供新的见解,并暗示残留的肿瘤细胞可能比以前认为的更活跃。此外,我们提供了一些初步证据表明,pEV 标志物模式可用于预测癌症复发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c1/7695971/0f7b8c3f11dc/gr1.jpg

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