Abstract

Colorectal cancer (CRC) is the third most common cancer and the second leading cause of death in the world. In most cases, drug resistance and tumor recurrence are ultimately inevitable. One obstacle is the presence of chemotherapy-insensitive quiescent cancer cells (QCCs). Identification of unique features of QCCs may facilitate the development of new targeted therapeutic strategies to eliminate tumor cells and thereby delay tumor recurrence. Here, using single-cell RNA sequencing, we classified proliferating and quiescent cancer cell populations in the human colorectal cancer spheroid model and identified ATF3 as a novel signature of QCCs that could support cells living in a metabolically restricted microenvironment. RNA velocity further showed a shift from the QCC group to the PCC group indicating the regenerative capacity of the QCCs. Our further results of epigenetic analysis, STING analysis, and evaluation of TCGA COAD datasets build a conclusion that ATF3 can interact with DDIT4 and TRIB3 at the transcriptional level. In addition, decreasing the expression level of ATF3 could enhance the efficacy of 5-FU on CRC MCTS models. In conclusion, ATF3 was identified as a novel marker of QCCs, and combining conventional drugs targeting PCCs with an option to target QCCs by reducing ATF3 expression levels may be a promising strategy for more efficient removal of tumor cells.

Details

Title
Identification of ATF3 as a novel protective signature of quiescent colorectal tumor cells
Author
Lu, Xi 1 ; Zhong, Lei 2 ; Lindell, Emma 1 ; Veanes, Margus 1 ; Guo, Jing 3 ; Zhao, Miao 1 ; Salehi, Maede 1 ; Swartling, Fredrik J. 1   VIAFID ORCID Logo  ; Chen, Xingqi 1   VIAFID ORCID Logo  ; Sjöblom, Tobias 1 ; Zhang, Xiaonan 1   VIAFID ORCID Logo 

 Uppsala University, Department of Immunology, Genetics and Pathology, Uppsala, Sweden (GRID:grid.8993.b) (ISNI:0000 0004 1936 9457) 
 Uppsala University, Department of Immunology, Genetics and Pathology, Uppsala, Sweden (GRID:grid.8993.b) (ISNI:0000 0004 1936 9457); Sichuan Provincial People’s Hospital, Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan, China (GRID:grid.440288.2) (ISNI:0000 0004 1758 0451) 
 Duke-NUS Medical School, Centre for Computational Biology, Singapore, Singapore (GRID:grid.428397.3) (ISNI:0000 0004 0385 0924) 
Pages
676
Publication year
2023
Publication date
Oct 2023
Publisher
Springer Nature B.V.
e-ISSN
20414889
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2876793776
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.