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Series GSE210347

Query DataSets for GSE210347

Status

Public on Aug 07, 2022

Title

Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment

Sample organism

Homo sapiens

Experiment type

Third-party reanalysis

Summary

Cancer-associated fibroblasts (CAFs) are the dominant components of stroma in the tumor microenvironment (TME), and they influence cancer hallmarks by interacting with other TME components. However, the heterogeneity and dynamics of CAFs have not been systematically characterized across different cancer types. Here, we performed pan-cancer analysis on 226 samples from 164 donors across 10 types of solid cancers to profile the TME at single-cell resolution. The activation trajectory of fibroblasts into various major types of CAFs was divided into three distinct differentiated states and was capable of sculpting the TME, which was associated with the prognosis of immunotherapy. On the other hand, except for activation, minor CAF components represented the dynamic transition between fibroblasts and other TME components (i.e., macrophages, peripheral nerve and endothelial cells) and delineated the alternative origins of CAFs. Particularly, the ubiquitous presentation of CAFEndoMT (endothelial-mesenchymal transition), which may be stimulated by proximal SPP1+ tumor-associated macrophages, played a role in angiogenesis and patient survival stratifications. Our study comprehensively profiled the heterogeneity and plasticity of CAFs, implied a potential divergent origin of different CAF populations, and highlighted its generalized key role in the TME across different cancer types.

Overall design

In total, we included 232 single cell transcriptome samples (normal = 31; adjacent = 54; tumor = 148) from 12 articles for pancancer's analysis. Of these, 31 GSM samples were derived from GSE134355; 11 GSM samples were related to GSE141445; 49 samples were derived from the ArrayExpress database at EMBL-EBI (www.ebi.ac.uk/arrayexpress) under accession number E-MTAB-8107; 2 GSM samples were associated with GSE157703; 22 GSM samples were derived from GSE131907; 7 GSM samples were derived from GSE138709; 31 samples were derived from the ArrayExpress database at EMBL-EBI (www.ebi.ac.uk/arrayexpress) under accession number E-MTAB-6149 and E-MTAB-6653; 32 CRR samples were related to GSA database under accession number CRA001160; 10 GSM samples were related to GSE154778; 7 HRR samples were available in GSA-Human under the accession code HRA000212; 10 thyroid samples were derived from GSA-Human database under accession number HRA000686; 20 gastric samples were download from http://dna-discovery.stanford.edu/download/1401/;

Contributor(s)

Luo H, Xia X, Huang L, An H, Cao M, Chen H, Zhang W, Shu Y, Kong X, Ren Z, Li P, Liu Y, Tang H, Sun R, Li C, Bai B, Jia W, Liu Y, Zhang W, Yang L, Peng Y, Dai L, Hu H, Jiang Y, Hu Y, Zhu J, Jiang H, Li Z, Caulin C, Park J, Xu H

Citation(s)

36333338

Submission date

Aug 02, 2022

Last update date

Dec 08, 2022

Contact name

Heng Xu

E-mail(s)

xuheng81916@gmail.com

Phone

+86-15928058711

Organization name

Sichuan University

Street address

17#, section 3, South Renmin Road

City

Chengdu

State/province

Sichuan

ZIP/Postal code

610041

Country

China

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Download family	Format
SOFT formatted family file(s)	SOFT
MINiML formatted family file(s)	MINiML
Series Matrix File(s)	TXT

Supplementary file	Size	Download	File type/resource
GSE210347_counts.Rds.gz	2.4 Gb	(ftp)(http)	RDS
GSE210347_meta.txt.gz	18.5 Mb	(ftp)(http)	TXT
GSE210347_sample_information.txt.gz	632 b	(ftp)(http)	TXT
GSE210347_study_metadata.xls.gz	39.8 Kb	(ftp)(http)	XLS
Processed data are available on Series record