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Single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma

BACKGROUND AND AIMS: The early diagnosis and intervention of oesophageal squamous cell carcinoma (ESCC) are particularly important because of the lack of effective therapies and poor prognosis. Comprehensive research on early ESCC at the single‐cell level is rare due to the need for fresh and high‐q...

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Autores principales: Liu, Xin‐Yang, Liu, Yan‐Bo, Xu, Jia‐Cheng, Zhang, Yi‐Fei, Ruan, Yuan‐Yuan, Zhao, Yi, Wu, Lin‐Feng, Hu, Jian‐Wei, Zhang, Zhen, He, Meng‐Jiang, Chen, Tian‐Yin, Xu, Xiao‐Yue, Zhang, Jing‐Wei, Zhang, Yi‐Qun, Zhou, Ping‐Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975454/
https://www.ncbi.nlm.nih.gov/pubmed/36855810
http://dx.doi.org/10.1002/ctm2.1203
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author Liu, Xin‐Yang
Liu, Yan‐Bo
Xu, Jia‐Cheng
Zhang, Yi‐Fei
Ruan, Yuan‐Yuan
Zhao, Yi
Wu, Lin‐Feng
Hu, Jian‐Wei
Zhang, Zhen
He, Meng‐Jiang
Chen, Tian‐Yin
Xu, Xiao‐Yue
Zhang, Jing‐Wei
Zhang, Yi‐Qun
Zhou, Ping‐Hong
author_facet Liu, Xin‐Yang
Liu, Yan‐Bo
Xu, Jia‐Cheng
Zhang, Yi‐Fei
Ruan, Yuan‐Yuan
Zhao, Yi
Wu, Lin‐Feng
Hu, Jian‐Wei
Zhang, Zhen
He, Meng‐Jiang
Chen, Tian‐Yin
Xu, Xiao‐Yue
Zhang, Jing‐Wei
Zhang, Yi‐Qun
Zhou, Ping‐Hong
author_sort Liu, Xin‐Yang
collection PubMed
description BACKGROUND AND AIMS: The early diagnosis and intervention of oesophageal squamous cell carcinoma (ESCC) are particularly important because of the lack of effective therapies and poor prognosis. Comprehensive research on early ESCC at the single‐cell level is rare due to the need for fresh and high‐quality specimens obtained from ESD. This study aims to systematically describe the cellular atlas of human intramucosal ESCC. METHODS: Five paired samples of intramucosal ESCC, para‐ESCC oesophageal tissues from endoscopically resected specimens and peripheral blood mononuclear cells were adopted for scRNA‐seq analysis. Computational pipeline scMetabolism was applied to quantify the metabolic diversity of single cells. RESULTS: A total of 164 715 cells were profiled. Epithelial cells exhibited high intra‐tumoural heterogeneity and two evolutionary trajectories during ESCC tumorigenesis initiated from proliferative cells, and then through an intermediate state, to two different terminal states of normally differentiated epithelial cells or malignant cells, respectively. The abundance of CD8(+) T(EX)s, Tregs and PD1(+)CD4(+)T cells suggested an exhausted and suppressive immune microenvironment. Several genes in immune cells, such as CXCL13, CXCR5 and PADI4, were identified as new biomarkers for poor prognosis. A new subcluster of malignant cells associated with metastasis and angiogenesis that appeared at an early stage compared with progressive ESCC was also identified in this study. Intercellular interaction analysis based on ligand–receptor pairs revealed the subcluster of malignant cells interacting with CAFs via the MDK–NCL pathway, which was verified by cell proliferation assay and IHC. This indicates that the interaction may be an important hallmark in the early change of tumour microenvironment and serves as a sign of CAF activation to stimulate downstream pathways for facilitating tumour invasion. CONCLUSION: This study demonstrates the changes of cell subsets and transcriptional levels in human intramucosal ESCC, which may provide unique insights into the development of novel biomarkers and potential intervention strategies.
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spelling pubmed-99754542023-03-02 Single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma Liu, Xin‐Yang Liu, Yan‐Bo Xu, Jia‐Cheng Zhang, Yi‐Fei Ruan, Yuan‐Yuan Zhao, Yi Wu, Lin‐Feng Hu, Jian‐Wei Zhang, Zhen He, Meng‐Jiang Chen, Tian‐Yin Xu, Xiao‐Yue Zhang, Jing‐Wei Zhang, Yi‐Qun Zhou, Ping‐Hong Clin Transl Med Research Articles BACKGROUND AND AIMS: The early diagnosis and intervention of oesophageal squamous cell carcinoma (ESCC) are particularly important because of the lack of effective therapies and poor prognosis. Comprehensive research on early ESCC at the single‐cell level is rare due to the need for fresh and high‐quality specimens obtained from ESD. This study aims to systematically describe the cellular atlas of human intramucosal ESCC. METHODS: Five paired samples of intramucosal ESCC, para‐ESCC oesophageal tissues from endoscopically resected specimens and peripheral blood mononuclear cells were adopted for scRNA‐seq analysis. Computational pipeline scMetabolism was applied to quantify the metabolic diversity of single cells. RESULTS: A total of 164 715 cells were profiled. Epithelial cells exhibited high intra‐tumoural heterogeneity and two evolutionary trajectories during ESCC tumorigenesis initiated from proliferative cells, and then through an intermediate state, to two different terminal states of normally differentiated epithelial cells or malignant cells, respectively. The abundance of CD8(+) T(EX)s, Tregs and PD1(+)CD4(+)T cells suggested an exhausted and suppressive immune microenvironment. Several genes in immune cells, such as CXCL13, CXCR5 and PADI4, were identified as new biomarkers for poor prognosis. A new subcluster of malignant cells associated with metastasis and angiogenesis that appeared at an early stage compared with progressive ESCC was also identified in this study. Intercellular interaction analysis based on ligand–receptor pairs revealed the subcluster of malignant cells interacting with CAFs via the MDK–NCL pathway, which was verified by cell proliferation assay and IHC. This indicates that the interaction may be an important hallmark in the early change of tumour microenvironment and serves as a sign of CAF activation to stimulate downstream pathways for facilitating tumour invasion. CONCLUSION: This study demonstrates the changes of cell subsets and transcriptional levels in human intramucosal ESCC, which may provide unique insights into the development of novel biomarkers and potential intervention strategies. John Wiley and Sons Inc. 2023-02-28 /pmc/articles/PMC9975454/ /pubmed/36855810 http://dx.doi.org/10.1002/ctm2.1203 Text en © 2023 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Liu, Xin‐Yang
Liu, Yan‐Bo
Xu, Jia‐Cheng
Zhang, Yi‐Fei
Ruan, Yuan‐Yuan
Zhao, Yi
Wu, Lin‐Feng
Hu, Jian‐Wei
Zhang, Zhen
He, Meng‐Jiang
Chen, Tian‐Yin
Xu, Xiao‐Yue
Zhang, Jing‐Wei
Zhang, Yi‐Qun
Zhou, Ping‐Hong
Single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma
title Single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma
title_full Single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma
title_fullStr Single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma
title_full_unstemmed Single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma
title_short Single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma
title_sort single‐cell transcriptomic analysis deciphers key transitional signatures associated with oncogenic evolution in human intramucosal oesophageal squamous cell carcinoma
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975454/
https://www.ncbi.nlm.nih.gov/pubmed/36855810
http://dx.doi.org/10.1002/ctm2.1203
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