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单细胞循环肿瘤细胞分析揭示基因组不稳定性是侵袭性前列腺癌的一个显著特征。

Single-Cell Circulating Tumor Cell Analysis Reveals Genomic Instability as a Distinctive Feature of Aggressive Prostate Cancer.

机构信息

USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California.

Epic Sciences, Inc, San Diego, California.

出版信息

Clin Cancer Res. 2020 Aug 1;26(15):4143-4153. doi: 10.1158/1078-0432.CCR-19-4100. Epub 2020 Apr 27.

Abstract

PURPOSE

Aggressive variant prostate cancer (AVPC) represents a clinical subset distinguished by therapy resistance and poor prognosis, linked to combined losses of the tumor suppressor genes (TSG) , and . Circulating tumor cells (CTC) provide a minimally invasive opportunity for identification and molecular characterization of AVPC. We aimed to evaluate the incidence and clinical significance of compound (2+)TSG losses and genomic instability in prostate cancer CTC, and to expand the set genomic biomarkers relevant to AVPC.

EXPERIMENTAL DESIGN

Genomic analysis of chromosomal copy-number alterations (CNA) at single-cell resolution was performed in CTC from patients with and without AVPC before initiating chemotherapy with cabazitaxel or cabazitaxel and carboplatin. We evaluated associations between single-CTC genomics and clinical features, progression-free survival, and overall survival.

RESULTS

A total of 257 individual CTC were sequenced from 47 patients (1-22 CTC/patient). Twenty patients (42.6%) had concurrent 2+TSG losses in at least one CTC in association with poor survival and increased genomic instability, inferred by high large-scale transitions scores. Higher LST in CTC were independent of CTC enumerated, clinically more indicative of aggressive behavior than co-occurring TSG losses, and molecularly associated with gains in chromosomal regions including , and ; increased androgen receptor expression; and loss. In 57 patients with matched cell-free tumor DNA data, CTC were more frequently detectable and evaluable for CNA analysis (in 73.7% vs. 42.1%, respectively).

CONCLUSIONS

Our findings suggest that genomic instability in CTC is a hallmark of advanced prostate cancer aggressiveness, and support single-CTC sequencing as a compelling tool to noninvasively characterize cancer heterogeneity.

摘要

目的

侵袭性变异前列腺癌(AVPC)代表了一种临床亚型,其特征为治疗耐药和预后不良,与肿瘤抑制基因(TSG)的联合缺失有关, 。循环肿瘤细胞(CTC)为识别和分子特征分析 AVPC 提供了微创机会。我们旨在评估前列腺癌 CTC 中复合(2+)TSG 缺失和基因组不稳定性的发生率和临床意义,并扩大与 AVPC 相关的基因组生物标志物集。

实验设计

在开始使用卡巴他赛或卡巴他赛联合卡铂化疗之前,对来自患有和不患有 AVPC 的患者的 CTC 进行单细胞分辨率的染色体拷贝数改变(CNA)的基因组分析。我们评估了单个 CTC 基因组与临床特征、无进展生存期和总生存期之间的关联。

结果

从 47 名患者(1-22 个 CTC/患者)中共测序了 257 个单个 CTC。20 名患者(42.6%)至少在一个 CTC 中同时存在 2+TSG 缺失,与不良预后和增加的基因组不稳定性相关,这可以通过高大规模转移评分推断出来。CTC 中的较高 LST 独立于 CTC 计数,在临床上比同时存在的 TSG 缺失更能指示侵袭性行为,并且与包括 、 和 在内的染色体区域的增益、雄激素受体表达增加和 缺失相关。在 57 名具有匹配的无细胞肿瘤 DNA 数据的患者中,CTC 更频繁地可检测和可评估 CNA 分析(分别为 73.7%和 42.1%)。

结论

我们的研究结果表明,CTC 中的基因组不稳定性是高级前列腺癌侵袭性的标志,并支持单个 CTC 测序作为一种有吸引力的工具,用于非侵入性地描绘癌症异质性。

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本文引用的文献

3
Genomic correlates of clinical outcome in advanced prostate cancer.
Proc Natl Acad Sci U S A. 2019 Jun 4;116(23):11428-11436. doi: 10.1073/pnas.1902651116. Epub 2019 May 6.
4
Genomic Drivers of Poor Prognosis and Enzalutamide Resistance in Metastatic Castration-resistant Prostate Cancer.
Eur Urol. 2019 Nov;76(5):562-571. doi: 10.1016/j.eururo.2019.03.020. Epub 2019 Mar 28.
5
Compound Genomic Alterations of TP53, PTEN, and RB1 Tumor Suppressors in Localized and Metastatic Prostate Cancer.
Eur Urol. 2019 Jul;76(1):89-97. doi: 10.1016/j.eururo.2018.11.045. Epub 2018 Dec 12.
6
Dimensionality reduction for visualizing single-cell data using UMAP.
Nat Biotechnol. 2018 Dec 3. doi: 10.1038/nbt.4314.
7
State-of-the-art strategies for targeting the DNA damage response in cancer.
Nat Rev Clin Oncol. 2019 Feb;16(2):81-104. doi: 10.1038/s41571-018-0114-z.
8
Outperforms Other Androgen Receptor Biomarkers to Predict Abiraterone or Enzalutamide Outcome in Metastatic Castration-Resistant Prostate Cancer.
Clin Cancer Res. 2019 Mar 15;25(6):1766-1773. doi: 10.1158/1078-0432.CCR-18-1943. Epub 2018 Sep 12.
9
Genomic Hallmarks and Structural Variation in Metastatic Prostate Cancer.
Cell. 2018 Jul 26;174(3):758-769.e9. doi: 10.1016/j.cell.2018.06.039. Epub 2018 Jul 19.

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