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个体循环肿瘤细胞中的突变分析描绘了黑色素瘤中的肿瘤内异质性。

Mutation analysis in individual circulating tumor cells depicts intratumor heterogeneity in melanoma.

机构信息

Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Fleur Hiege Center for Skin Cancer Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

出版信息

EMBO Mol Med. 2024 Jul;16(7):1560-1578. doi: 10.1038/s44321-024-00082-6. Epub 2024 Jun 19.

Abstract

Circulating tumor DNA (ctDNA) is the cornerstone of liquid biopsy diagnostics, revealing clinically relevant genomic aberrations from blood of cancer patients. Genomic analysis of single circulating tumor cells (CTCs) could provide additional insights into intra-patient heterogeneity, but it requires whole-genome amplification (WGA) of DNA, which might introduce bias. Here, we describe a novel approach based on mass spectrometry for mutation detection from individual CTCs not requiring WGA and complex bioinformatics pipelines. After establishment of our protocol on tumor cell line-derived single cells, it was validated on CTCs of 33 metastatic melanoma patients and the mutations were compared to those obtained from tumor tissue and ctDNA. Although concordance with tumor tissue was superior for ctDNA over CTC analysis, a larger number of mutations were found within CTCs compared to ctDNA (p = 0.039), including mutations in melanoma driver genes, or those associated with resistance to therapy or metastasis. Thus, our results demonstrate proof-of-principle data that CTC analysis can provide clinically relevant genomic information that is not redundant to tumor tissue or ctDNA analysis.

摘要

循环肿瘤 DNA(ctDNA)是液体活检诊断的基石,可从癌症患者的血液中揭示具有临床相关性的基因组异常。对单个循环肿瘤细胞(CTC)的基因组分析可以提供更多关于患者内异质性的见解,但需要对 DNA 进行全基因组扩增(WGA),这可能会引入偏差。在这里,我们描述了一种基于质谱的新方法,用于从不需要 WGA 和复杂生物信息学管道的单个 CTC 中检测突变。在我们的肿瘤细胞系衍生的单细胞方案建立后,我们在 33 名转移性黑色素瘤患者的 CTC 上进行了验证,并将突变与从肿瘤组织和 ctDNA 中获得的突变进行了比较。尽管 ctDNA 比 CTC 分析与肿瘤组织的一致性更好,但与 ctDNA 相比,在 CTC 中发现了更多的突变(p=0.039),包括黑色素瘤驱动基因中的突变,或与耐药或转移相关的突变。因此,我们的结果证明了一个原理验证数据,即 CTC 分析可以提供与肿瘤组织或 ctDNA 分析不重复的临床相关基因组信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95bd/11250829/d5904502f64f/44321_2024_82_Fig1_HTML.jpg

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