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一种通过液体活检检测黑色素瘤的新型 microRNA 特征。

A novel microRNA signature for the detection of melanoma by liquid biopsy.

机构信息

Department of Experimental Medicine, Sapienza University, 00161, Rome, Italy.

Biogem Scarl, Istituto di Ricerche Genetiche "Gaetano Salvatore", 83031, Ariano Irpino, Italy.

出版信息

J Transl Med. 2022 Oct 15;20(1):469. doi: 10.1186/s12967-022-03668-1.

Abstract

BACKGROUND

Melanoma is the deadliest form of skin cancer and metastatic disease is associated with a significant survival rate drop. There is an urgent need for consistent tumor biomarkers to scale precision medicine and reduce cancer mortality. Here, we aimed to identify a melanoma-specific circulating microRNA signature and assess its value as a diagnostic tool.

METHODS

The study consisted of a discovery phase and two validation phases. Circulating plasma extracellular vesicles (pEV) associated microRNA profiles were obtained from a discovery cohort of metastatic melanoma patients and normal subjects as controls. A pEV-microRNA signature was obtained using a LASSO penalized logistic regression model. The pEV-microRNA signature was subsequently validated both in a publicly available dataset and in an independent internal cohort.

RESULTS

We identified and validated in three independent cohorts a panel of melanoma-specific circulating microRNAs that showed high accuracy in differentiating melanoma patients from healthy subjects with an area under the curve (AUC) of 1.00, 0.94 and 0.75 respectively. Investigation of the function of the pEV-microRNA signature evidenced their possible immune suppressive role in melanoma patients.

CONCLUSIONS

We demonstrate that a blood test based on circulating microRNAs can non-invasively detect melanoma, offering a novel diagnostic tool for improving standard care. Moreover, we revealed an immune suppressive role for melanoma pEV-microRNAs.

摘要

背景

黑色素瘤是最致命的皮肤癌形式,转移性疾病与生存率的显著下降有关。迫切需要一致的肿瘤生物标志物来扩大精准医学并降低癌症死亡率。在这里,我们旨在确定黑色素瘤特异性循环 microRNA 特征,并评估其作为诊断工具的价值。

方法

该研究包括发现阶段和两个验证阶段。从转移性黑色素瘤患者的发现队列和正常对照中获得了循环血浆细胞外囊泡 (pEV) 相关 microRNA 谱。使用 LASSO 惩罚逻辑回归模型获得 pEV-microRNA 特征。随后在公开可用的数据集和内部独立队列中验证了 pEV-microRNA 特征。

结果

我们在三个独立队列中确定并验证了一组黑色素瘤特异性循环 microRNAs,它们在区分黑色素瘤患者和健康受试者方面具有很高的准确性,曲线下面积 (AUC) 分别为 1.00、0.94 和 0.75。对 pEV-microRNA 特征功能的研究表明,它们在黑色素瘤患者中可能具有免疫抑制作用。

结论

我们证明了基于循环 microRNAs 的血液检测可以无创检测黑色素瘤,为改善标准护理提供了一种新的诊断工具。此外,我们揭示了黑色素瘤 pEV-microRNAs 的免疫抑制作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4a1/9571479/d88f8d58eb92/12967_2022_3668_Fig1_HTML.jpg

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