Identification of Colorectal Cancer Cell Stemness from Single-Cell RNA Sequencing

Authors

Kangyu Lin
Saikat Chowdhury
Mohammad A Zeineddine
Fadl A Zeineddine
Nicholas J Hornstein
Oscar E Villarreal
Dipen M Maru
Cara L Haymaker
Jean-Nicolas Vauthey
George J Chang
Elena Bogatenkova
David Menter
Scott Kopetz
John Paul Shen

Publication Date

4-2-2024

Journal

Molecular Cancer Research

Abstract

UNLABELLED: 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.

Keywords

Humans, Neoplasm Recurrence, Local, Gene Expression Profiling, Colorectal Neoplasms, Recurrence, Sequence Analysis, RNA, Neoplastic Stem Cells, Cell Line, Tumor

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Associated Data

PMID: 38156967