Back to Search Start Over

Multiregion single cell analysis reveals a novel subtype of cancer-associated fibroblasts located in the hypoxic tumor microenvironment in colorectal cancer

Authors :
Nanxin Zheng
Rongbo Wen
Leqi Zhou
Qingying Meng
Kuo Zheng
Zhixuan Li
Fuao Cao
Wei Zhang
Source :
Translational Oncology, Vol 27, Iss , Pp 101570- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Background: : The tumor microenvironment (TME) plays a critical role in shaping tumor progression and determining the outcome of the therapeutic response. In this study, we aimed to generate a comprehensive cellular landscape of the colorectal cancer (CRC) TME. Methods: : We generated a comprehensive single-cell atlas by collecting CRC cases that have been uploaded to the online database and conducting an in-depth secondary analysis. We then carried out spatial transcriptomic sequencing and multiple immunohistochemical analyses to verify the results of the single-cell analysis. Moreover, we applied our findings to the TCGA database and used tissue microarray (TMA) on CRC tissue specimens to validate clinical prognosis. Findings: We re-analyzed the transcriptomes of 23785 cells, revealing a pattern of cell heterogeneity in the tumor region, leading-edge region, and non-tumor region. A subtype of COL11A1+INHBA+ tumor-resident cancer-associated fibroblasts (CAFs) was identified, and marker genes, transcription factors, and tissue-specific expression differences were noted and suggested to have potential roles in promoting cancer. We further confirmed that COL11A1+INHBA+ tumor-resident CAFs are mainly located in the hypoxic TME and we propose that they interact with CD44+ CRC cells via INHBA. Elevation of INHBA in CRC is associated with a poor prognosis. Interpretation: : Our results demonstrated a single cell landscape of CRC in different regions and identified in hypoxic TME a special subtype of CAFs producing INHBA, which promotes CRC development and correlates with poor prognosis. This special subtype of CAFs is a candidate target for translational research.

Details

Language :
English
ISSN :
19365233
Volume :
27
Issue :
101570-
Database :
Directory of Open Access Journals
Journal :
Translational Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.4aafdbabcc6945d9ad2d577da041f4c0
Document Type :
article
Full Text :
https://doi.org/10.1016/j.tranon.2022.101570