Integrating spatial and single-cell transcriptomes reveals the role of COL1A2(+) MMP1(+/-) cancer-associated fibroblasts in ER-positive breast cancer

Cancer-associated fibroblasts (CAFs) are highly heterogeneous cells and important components of the breast tumor microenvironment (TME). However, their role and clinical value in ER-positive breast cancer have not been fully clarified. Our study aims to comprehensively characterize the heterogeneity, potential biological functions, and molecular mechanisms of CAFs in ER-positive breast cancer within the tumor microenvironment using multi-omics data, to provide new strategies for the diagnosis and treatment of ER-positive breast cancer patients. In this study, we found that COL1A2(+) MMP1(+) and COL1A2(+) MMP1(-) CAFs were associated with unfavorable prognosis. The dynamic evolution and cell-cell communications of CAFs were analyzed, revealing that COL1A2(+) MMP1(+/-) CAFs show extensive crosstalk with tumor-associated macrophages (TAMs), contributing to an immunosuppressive TME. Moreover, the somatic mutation of TP53 may be a potential indicator for evaluating the infiltration of COL1A2(+) MMP1(+/-) CAFs. Finally, an MRI-based radiomic model was constructed to estimate the abundance of these CAFs. In conclusion, our findings provide a theoretical basis for targeting CAFs and offer a noninvasive approach to evaluate the infiltration level of COL1A2(+) MMP1(+/-) CAFs.

Authors

Institutions

Publication Details

Journal
Cancer Cell International
Published
2025-03-07
DOI
https://doi.org/10.1186/s12935-025-03705-1
Citations
3
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
3.14

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating spatial and single-cell transcriptomes reveals the role of COL1A2(+) MMP1(+/-) cancer-associated fibroblasts in ER-positive breast cancer

Yao Tian, Guixin Wang, Yingxi Li, Zhihao Yu et al.
3 citations
Cancer Cell International
Cancer Cells and Metastasis
3.14
article

Integrating spatial and single-cell transcriptomes reveals the role of COL1A2(+) MMP1(+/-) cancer-associated fibroblasts in ER-positive breast cancer

Yao Tian, Guixin Wang, Yingxi Li, Zhihao Yu, Xuchen Cao, Xuejun Wang, Yue Yu, Shuo Wang, Zhaohui Chen, Haonan Xu, Long He, Wenbin Song
article en
3 citations

Abstract

Cancer-associated fibroblasts (CAFs) are highly heterogeneous cells and important components of the breast tumor microenvironment (TME). However, their role and clinical value in ER-positive breast cancer have not been fully clarified. Our study aims to comprehensively characterize the heterogeneity, potential biological functions, and molecular mechanisms of CAFs in ER-positive breast cancer within the tumor microenvironment using multi-omics data, to provide new strategies for the diagnosis and treatment of ER-positive breast cancer patients. In this study, we found that COL1A2(+) MMP1(+) and COL1A2(+) MMP1(-) CAFs were associated with unfavorable prognosis. The dynamic evolution and cell-cell communications of CAFs were analyzed, revealing that COL1A2(+) MMP1(+/-) CAFs show extensive crosstalk with tumor-associated macrophages (TAMs), contributing to an immunosuppressive TME. Moreover, the somatic mutation of TP53 may be a potential indicator for evaluating the infiltration of COL1A2(+) MMP1(+/-) CAFs. Finally, an MRI-based radiomic model was constructed to estimate the abundance of these CAFs. In conclusion, our findings provide a theoretical basis for targeting CAFs and offer a noninvasive approach to evaluate the infiltration level of COL1A2(+) MMP1(+/-) CAFs.

Cancer Cell InternationalVol. 25(1)
Tianjin Medical University General Hospital (CN), Tianjin Medical University Cancer Institute and Hospital (CN), Jiangmen Central Hospital (CN), Tianjin Medical University (CN)
National Natural Science Foundation of China, Tianjin Science and Technology Committee
Good health and well-being
Openalex Percentile: Top 9%
Cancer Cells and Metastasis
3.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.