Kamal Mohamed, Wang Yiru Jess, Plummer Sarai, Dickerson Amber, Yu Min
Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Cancers (Basel). 2023 May 9;15(10):2669. doi: 10.3390/cancers15102669.
Using previously established CTC lines from breast cancer patients, we identified different morphometric subgroups of CTCs with one of them having the highest tumorigenic potential in vivo despite the slowest cell proliferation in vitro. This subgroup represents 32% of all cells and contains cells with small cell volume, large nucleus to cell, dense nuclear areas to the nucleus, mitochondria to cell volume ratios and rough texture of cell membrane and termed "Small cell, Large mitochondria, Rough membrane" (SLR). RNA-seq analyses showed that the SLR group is enriched in pathways and cellular processes related to DNA replication, DNA repair and metabolism. SLR upregulated genes are associated with poor survival in patients with ER+ breast cancer based on the KM Plotter database. The high tumorigenic potential, slow proliferation, and enriched DNA replication/repair pathways suggest that the SLR subtype is associated with stemness properties. Our new findings provide a simple image-based identification of CTC subpopulations with elevated aggressiveness, which is expected to provide a more accurate prediction of patient survival and therapy response than total CTC numbers. The detection of morphometric and transcriptomic profiles related to the SLR subgroup of CTCs also opens opportunities for potential targeted cancer treatment.
利用先前建立的乳腺癌患者循环肿瘤细胞(CTC)系,我们鉴定出了不同形态学亚组的CTC,其中一个亚组在体内具有最高的致瘤潜能,尽管其在体外的细胞增殖最慢。该亚组占所有细胞的32%,包含细胞体积小、核质比大、核内致密核区、线粒体与细胞体积比以及细胞膜粗糙的细胞,被称为“小细胞、大线粒体、粗糙膜”(SLR)。RNA测序分析表明,SLR组在与DNA复制、DNA修复和代谢相关的通路和细胞过程中富集。基于KM Plotter数据库,SLR上调基因与雌激素受体阳性(ER+)乳腺癌患者的不良生存相关。高致瘤潜能、缓慢增殖以及富集的DNA复制/修复通路表明,SLR亚型与干性特征相关。我们的新发现提供了一种基于图像的简单方法来识别具有更高侵袭性的CTC亚群,预计这将比总CTC数量更准确地预测患者生存和治疗反应。检测与CTC的SLR亚组相关的形态学和转录组学特征也为潜在的靶向癌症治疗带来了机会。