癌症干细胞
结直肠癌
生物
癌症研究
转录组
转移
干细胞
干细胞标记物
细胞
癌症
基因
基因表达
遗传学
作者
Kangyu Lin,Saikat Chowdhury,Mohammad A. Zeineddine,Fadl A. Zeineddine,Nicholas J. Hornstein,Oscar E. Villarreal,Dipen M. Maru,Cara Haymaker,Jean‐Nicolas Vauthey,George J. Chang,Elena Bogatenkova,David G. Menter,Scott Kopetz,John Paul Shen
标识
DOI:10.1158/1541-7786.mcr-23-0468
摘要
Abstract Cancer stem cells (CSC) play a critical role in metastasis, relapse, and therapy resistance in colorectal cancer. While characterization of the normal lineage of cell development in the intestine has led to the identification of many genes involved in the induction and maintenance of pluripotency, recent studies suggest significant heterogeneity in CSC populations. Moreover, while many canonical colorectal cancer CSC marker genes have been identified, the ability to use these classical markers to annotate stemness at the single-cell level is limited. In this study, we performed single-cell RNA sequencing on a cohort of 6 primary colon, 9 liver metastatic tumors, and 11 normal (nontumor) controls to identify colorectal CSCs at the single-cell level. Finding poor alignment of the 11 genes most used to identify colorectal CSC, we instead extracted a single-cell stemness signature (SCS_sig) that robustly identified “gold-standard” colorectal CSCs that expressed all marker genes. Using this SCS_sig to quantify stemness, we found that while normal epithelial cells show a bimodal distribution, indicating distinct stem and differentiated states, in tumor epithelial cells stemness is a continuum, suggesting greater plasticity in these cells. The SCS_sig score was quite variable between different tumors, reflective of the known transcriptomic heterogeneity of CRC. Notably, patients with higher SCS_sig scores had significantly shorter disease-free survival time after curative intent surgical resection, suggesting stemness is associated with relapse. Implications: This study reveals significant heterogeneity of expression of genes commonly used to identify colorectal CSCs, and identifies a novel stemness signature to identify these cells from scRNA-seq data.
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