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Single-cell analysis reveals the COL11A1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression

Background: Cancer-associated fibroblasts (CAFs) promote tumor progression through extracellular matrix (ECM) remodeling and extensive communication with other cells in tumor microenvironment. However, most CAF-targeting strategies failed in clinical trials due to the heterogeneity of CAFs. Hence, w...

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Autores principales: Zhang, Jiayu, Lu, Shiqi, Lu, Tong, Han, Donghui, Zhang, Keying, Gan, Lunbiao, Wu, Xinjie, Li, Yu, Zhao, Xiaolong, Li, Zhengxuan, Shen, Yajie, Hu, Sijun, Yang, Fa, Wen, Weihong, Qin, Weijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894880/
https://www.ncbi.nlm.nih.gov/pubmed/36744260
http://dx.doi.org/10.3389/fphar.2023.1121586
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author Zhang, Jiayu
Lu, Shiqi
Lu, Tong
Han, Donghui
Zhang, Keying
Gan, Lunbiao
Wu, Xinjie
Li, Yu
Zhao, Xiaolong
Li, Zhengxuan
Shen, Yajie
Hu, Sijun
Yang, Fa
Wen, Weihong
Qin, Weijun
author_facet Zhang, Jiayu
Lu, Shiqi
Lu, Tong
Han, Donghui
Zhang, Keying
Gan, Lunbiao
Wu, Xinjie
Li, Yu
Zhao, Xiaolong
Li, Zhengxuan
Shen, Yajie
Hu, Sijun
Yang, Fa
Wen, Weihong
Qin, Weijun
author_sort Zhang, Jiayu
collection PubMed
description Background: Cancer-associated fibroblasts (CAFs) promote tumor progression through extracellular matrix (ECM) remodeling and extensive communication with other cells in tumor microenvironment. However, most CAF-targeting strategies failed in clinical trials due to the heterogeneity of CAFs. Hence, we aimed to identify the cluster of tumor-promoting CAFs, elucidate their function and determine their specific membrane markers to ensure precise targeting. Methods: We integrated multiple single-cell RNA sequencing (scRNA-seq) datasets across different tumors and adjacent normal tissues to identify the tumor-promoting CAF cluster. We analyzed the origin of these CAFs by pseudotime analysis, and tried to elucidate the function of these CAFs by gene regulatory network analysis and cell-cell communication analysis. We also performed cell-type deconvolution analysis to examine the association between the proportion of these CAFs and patients’ prognosis in TCGA cancer cohorts, and validated that through IHC staining in clinical tumor tissues. In addition, we analyzed the membrane molecules in different fibroblast clusters, trying to identify the membrane molecules that were specifically expressed on these CAFs. Results: We found that COL11A1+ fibroblasts specifically exist in tumor tissues but not in normal tissues and named them cancer-specific fibroblasts (CSFs). We revealed that these CSFs were transformed from normal fibroblasts. CSFs represented a more activated CAF cluster and may promote tumor progression through the regulation on ECM remodeling and antitumor immune responses. High CSF proportion was associated with poor prognosis in bladder cancer (BCa) and lung adenocarcinoma (LUAD), and IHC staining of COL11A1 confirmed their specific expression in tumor stroma in clinical BCa samples. We also identified that CSFs specifically express the membrane molecules LRRC15, ITGA11, SPHK1 and FAP, which could distinguish CSFs from other fibroblasts. Conclusion: We identified that CSFs is a tumor specific cluster of fibroblasts, which are in active state, may promote tumor progression through the regulation on ECM remodeling and antitumor immune responses. Membrane molecules LRRC15, ITGA11, SPHK1 and FAP could be used as therapeutic targets for CSF-targeting cancer treatment.
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spelling pubmed-98948802023-02-04 Single-cell analysis reveals the COL11A1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression Zhang, Jiayu Lu, Shiqi Lu, Tong Han, Donghui Zhang, Keying Gan, Lunbiao Wu, Xinjie Li, Yu Zhao, Xiaolong Li, Zhengxuan Shen, Yajie Hu, Sijun Yang, Fa Wen, Weihong Qin, Weijun Front Pharmacol Pharmacology Background: Cancer-associated fibroblasts (CAFs) promote tumor progression through extracellular matrix (ECM) remodeling and extensive communication with other cells in tumor microenvironment. However, most CAF-targeting strategies failed in clinical trials due to the heterogeneity of CAFs. Hence, we aimed to identify the cluster of tumor-promoting CAFs, elucidate their function and determine their specific membrane markers to ensure precise targeting. Methods: We integrated multiple single-cell RNA sequencing (scRNA-seq) datasets across different tumors and adjacent normal tissues to identify the tumor-promoting CAF cluster. We analyzed the origin of these CAFs by pseudotime analysis, and tried to elucidate the function of these CAFs by gene regulatory network analysis and cell-cell communication analysis. We also performed cell-type deconvolution analysis to examine the association between the proportion of these CAFs and patients’ prognosis in TCGA cancer cohorts, and validated that through IHC staining in clinical tumor tissues. In addition, we analyzed the membrane molecules in different fibroblast clusters, trying to identify the membrane molecules that were specifically expressed on these CAFs. Results: We found that COL11A1+ fibroblasts specifically exist in tumor tissues but not in normal tissues and named them cancer-specific fibroblasts (CSFs). We revealed that these CSFs were transformed from normal fibroblasts. CSFs represented a more activated CAF cluster and may promote tumor progression through the regulation on ECM remodeling and antitumor immune responses. High CSF proportion was associated with poor prognosis in bladder cancer (BCa) and lung adenocarcinoma (LUAD), and IHC staining of COL11A1 confirmed their specific expression in tumor stroma in clinical BCa samples. We also identified that CSFs specifically express the membrane molecules LRRC15, ITGA11, SPHK1 and FAP, which could distinguish CSFs from other fibroblasts. Conclusion: We identified that CSFs is a tumor specific cluster of fibroblasts, which are in active state, may promote tumor progression through the regulation on ECM remodeling and antitumor immune responses. Membrane molecules LRRC15, ITGA11, SPHK1 and FAP could be used as therapeutic targets for CSF-targeting cancer treatment. Frontiers Media S.A. 2023-01-20 /pmc/articles/PMC9894880/ /pubmed/36744260 http://dx.doi.org/10.3389/fphar.2023.1121586 Text en Copyright © 2023 Zhang, Lu, Lu, Han, Zhang, Gan, Wu, Li, Zhao, Li, Shen, Hu, Yang, Wen and Qin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Zhang, Jiayu
Lu, Shiqi
Lu, Tong
Han, Donghui
Zhang, Keying
Gan, Lunbiao
Wu, Xinjie
Li, Yu
Zhao, Xiaolong
Li, Zhengxuan
Shen, Yajie
Hu, Sijun
Yang, Fa
Wen, Weihong
Qin, Weijun
Single-cell analysis reveals the COL11A1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression
title Single-cell analysis reveals the COL11A1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression
title_full Single-cell analysis reveals the COL11A1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression
title_fullStr Single-cell analysis reveals the COL11A1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression
title_full_unstemmed Single-cell analysis reveals the COL11A1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression
title_short Single-cell analysis reveals the COL11A1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression
title_sort single-cell analysis reveals the col11a1(+) fibroblasts are cancer-specific fibroblasts that promote tumor progression
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894880/
https://www.ncbi.nlm.nih.gov/pubmed/36744260
http://dx.doi.org/10.3389/fphar.2023.1121586
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