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从肺癌患者中捕获循环转移癌簇可揭示独特的基因组特征和潜在的抗转移分子靶点:概念验证研究。

Capture of circulating metastatic cancer cell clusters from lung cancer patients can reveal unique genomic profiles and potential anti-metastatic molecular targets: A proof-of-concept study.

机构信息

PhenoVista Biosciences, San Diego, CA, United States of America.

National Cancer Institute Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, United States of America.

出版信息

PLoS One. 2024 Jul 31;19(7):e0306450. doi: 10.1371/journal.pone.0306450. eCollection 2024.

Abstract

Metastasis remains the leading cause of cancer deaths worldwide and lung cancer, known for its highly metastatic progression, remains among the most lethal of malignancies. Lung cancer metastasis can selectively spread to multiple different organs, however the genetic and molecular drivers for this process are still poorly understood. Understanding the heterogeneous genomic profile of lung cancer metastases is considered key in identifying therapeutic targets that prevent its spread. Research has identified the key source for metastasis being clusters of cells rather than individual cancer cells. These clusters, known as metastatic cancer cell clusters (MCCCs) have been shown to be 100-fold more tumorigenic than individual cancer cells. Unfortunately, access to these primary drivers of metastases remains difficult and has limited our understanding of their molecular and genomic profiles. Strong evidence in the literature suggests that differentially regulated biological pathways in MCCCs can provide new therapeutic drug targets to help combat cancer metastases. In order to expand research into MCCCs and their role in metastasis, we demonstrate a novel, proof of principle technology, to capture MCCCs directly from patients' whole blood. Our platform can be readily tuned for different solid tumor types by combining a biomimicry-based margination effect coupled with immunoaffinity to isolate MCCCs. Adopting a selective capture approach based on overexpressed CD44 in MCCCs provides a methodology that preferentially isolates them from whole blood. Furthermore, we demonstrate a high capture efficiency of more than 90% when spiking MCCC-like model cell clusters into whole blood. Characterization of the captured MCCCs from lung cancer patients by immunofluorescence staining and genomic analyses, suggests highly differential morphologies and genomic profiles. This study lays the foundation to identify potential drug targets thus unlocking a new area of anti-metastatic therapeutics.

摘要

转移仍然是全球癌症死亡的主要原因,而肺癌因其高度转移性进展,仍然是最致命的恶性肿瘤之一。肺癌转移可以选择性地扩散到多个不同的器官,但这个过程的遗传和分子驱动因素仍知之甚少。了解肺癌转移的异质基因组谱被认为是识别预防其扩散的治疗靶点的关键。研究已经确定了转移的关键来源是细胞簇而不是单个癌细胞。这些被称为转移性癌细胞簇 (MCCC) 的细胞簇比单个癌细胞的致瘤性高 100 倍。不幸的是,获得这些转移的主要驱动因素仍然很困难,这限制了我们对其分子和基因组特征的理解。文献中有强有力的证据表明,MCCC 中差异调节的生物学途径可以提供新的治疗药物靶点,以帮助对抗癌症转移。为了扩展对 MCCC 及其在转移中的作用的研究,我们展示了一种新颖的、原理验证的技术,可以直接从患者的全血中捕获 MCCC。我们的平台可以通过结合基于仿生的边缘效应和免疫亲和性来分离 MCCC,很容易针对不同的实体瘤类型进行调整。采用基于 MCCC 中过表达 CD44 的选择性捕获方法提供了一种从全血中优先分离它们的方法。此外,我们证明了当将 MCCC 样模型细胞簇掺入全血中时,捕获效率超过 90%。通过免疫荧光染色和基因组分析对来自肺癌患者的捕获的 MCCC 进行表征表明,它们具有高度差异的形态和基因组特征。这项研究为鉴定潜在的药物靶点奠定了基础,从而开辟了一个新的抗转移治疗领域。

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