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单细胞发现和多发性骨髓瘤治疗靶点的多组学特征分析。

Single-Cell Discovery and Multiomic Characterization of Therapeutic Targets in Multiple Myeloma.

机构信息

Department of Medicine, Washington University in St. Louis, St. Louis, Missouri.

McDonnell Genome Institute, Washington University in St. Louis, St. Louis, Missouri.

出版信息

Cancer Res. 2023 Apr 14;83(8):1214-1233. doi: 10.1158/0008-5472.CAN-22-1769.

DOI:10.1158/0008-5472.CAN-22-1769
PMID:36779841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10102848/
Abstract

UNLABELLED

Multiple myeloma (MM) is a highly refractory hematologic cancer. Targeted immunotherapy has shown promise in MM but remains hindered by the challenge of identifying specific yet broadly representative tumor markers. We analyzed 53 bone marrow (BM) aspirates from 41 MM patients using an unbiased, high-throughput pipeline for therapeutic target discovery via single-cell transcriptomic profiling, yielding 38 MM marker genes encoding cell-surface proteins and 15 encoding intracellular proteins. Of these, 20 candidate genes were highlighted that are not yet under clinical study, 11 of which were previously uncharacterized as therapeutic targets. The findings were cross-validated using bulk RNA sequencing, flow cytometry, and proteomic mass spectrometry of MM cell lines and patient BM, demonstrating high overall concordance across data types. Independent discovery using bulk RNA sequencing reiterated top candidates, further affirming the ability of single-cell transcriptomics to accurately capture marker expression despite limitations in sample size or sequencing depth. Target dynamics and heterogeneity were further examined using both transcriptomic and immuno-imaging methods. In summary, this study presents a robust and broadly applicable strategy for identifying tumor markers to better inform the development of targeted cancer therapy.

SIGNIFICANCE

Single-cell transcriptomic profiling and multiomic cross-validation to uncover therapeutic targets identifies 38 myeloma marker genes, including 11 transcribing surface proteins with previously uncharacterized potential for targeted antitumor therapy.

摘要

未标记

多发性骨髓瘤(MM)是一种高度难治的血液系统癌症。靶向免疫疗法在 MM 中显示出了前景,但仍受到识别特定但具有广泛代表性的肿瘤标志物的挑战的阻碍。我们使用无偏的高通量管道,通过单细胞转录组谱分析,对来自 41 名 MM 患者的 53 份骨髓(BM)吸出物进行了分析,得出了 38 个编码细胞表面蛋白的 MM 标记基因和 15 个编码细胞内蛋白的 MM 标记基因。其中,有 20 个候选基因尚未在临床研究中,其中 11 个以前未被表征为治疗靶点。使用批量 RNA 测序、流式细胞术和 MM 细胞系和患者 BM 的蛋白质组质谱分析对这些发现进行了交叉验证,证明了不同数据类型之间的高度总体一致性。使用批量 RNA 测序进行独立发现再次强调了顶级候选基因,进一步证实了单细胞转录组学能够准确捕获标记表达,尽管在样本量或测序深度方面存在限制。使用转录组学和免疫成像方法进一步检查了目标的动态和异质性。总之,这项研究提出了一种强大且广泛适用的策略,用于识别肿瘤标志物,以更好地为靶向癌症治疗的发展提供信息。

意义

单细胞转录组谱分析和多组学交叉验证以揭示治疗靶点,确定了 38 个骨髓瘤标记基因,包括 11 个转录表面蛋白,具有以前未被表征的潜在靶向抗肿瘤治疗作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/9cc4f92765fb/1214fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/41d21e632074/1214fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/657e06af0863/1214fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/f7938ca1f9cd/1214fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/5e0c25ceaf33/1214fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/7bc2d022ae27/1214fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/dae9f53d3631/1214fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/9cc4f92765fb/1214fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/41d21e632074/1214fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/657e06af0863/1214fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/f7938ca1f9cd/1214fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/5e0c25ceaf33/1214fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/7bc2d022ae27/1214fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/dae9f53d3631/1214fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acaf/10102848/9cc4f92765fb/1214fig7.jpg

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