Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq

Abstract Gastric cancer (GC) is a leading cause of cancer-induced mortality, with poor prognosis with metastasis. The mechanism of gastric carcinoma lymph node metastasis remains unknown due to traditional bulk-leveled approaches masking the roles of subpopulations. To answer questions concerning me...

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Autores principales:	Bin Wang, Yingyi Zhang, Tao Qing, Kaichen Xing, Jie Li, Timing Zhen, Sibo Zhu, Xianbao Zhan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6f415778d2ba4f12b6d97c878fc15f5b
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spelling	oai:doaj.org-article:6f415778d2ba4f12b6d97c878fc15f5b2021-12-02T14:12:45ZComprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq10.1038/s41598-020-80881-22045-2322https://doaj.org/article/6f415778d2ba4f12b6d97c878fc15f5b2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80881-2https://doaj.org/toc/2045-2322Abstract Gastric cancer (GC) is a leading cause of cancer-induced mortality, with poor prognosis with metastasis. The mechanism of gastric carcinoma lymph node metastasis remains unknown due to traditional bulk-leveled approaches masking the roles of subpopulations. To answer questions concerning metastasis from the gastric carcinoma intratumoural perspective, we performed single-cell level analysis on three gastric cancer patients with primary cancer and paired metastatic lymph node cancer tissues using single-cell RNA-seq (scRNA-seq). The results showed distinct carcinoma profiles from each patient, and diverse microenvironmental subsets were shared across different patients. Clustering data showed significant intratumoural heterogeneity. The results also revealed a subgroup of cells bridging the metastatic group and primary group, implying the transition state of cancer during the metastatic process. In the present study, we obtained a more comprehensive picture of gastric cancer lymph node metastasis, and we discovered some GC lymph node metastasis marker genes (ERBB2, CLDN11 and CDK12), as well as potential gastric cancer evolution-driving genes (FOS and JUN), which provide a basis for the treatment of GC.Bin WangYingyi ZhangTao QingKaichen XingJie LiTiming ZhenSibo ZhuXianbao ZhanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bin Wang Yingyi Zhang Tao Qing Kaichen Xing Jie Li Timing Zhen Sibo Zhu Xianbao Zhan Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq
description	Abstract Gastric cancer (GC) is a leading cause of cancer-induced mortality, with poor prognosis with metastasis. The mechanism of gastric carcinoma lymph node metastasis remains unknown due to traditional bulk-leveled approaches masking the roles of subpopulations. To answer questions concerning metastasis from the gastric carcinoma intratumoural perspective, we performed single-cell level analysis on three gastric cancer patients with primary cancer and paired metastatic lymph node cancer tissues using single-cell RNA-seq (scRNA-seq). The results showed distinct carcinoma profiles from each patient, and diverse microenvironmental subsets were shared across different patients. Clustering data showed significant intratumoural heterogeneity. The results also revealed a subgroup of cells bridging the metastatic group and primary group, implying the transition state of cancer during the metastatic process. In the present study, we obtained a more comprehensive picture of gastric cancer lymph node metastasis, and we discovered some GC lymph node metastasis marker genes (ERBB2, CLDN11 and CDK12), as well as potential gastric cancer evolution-driving genes (FOS and JUN), which provide a basis for the treatment of GC.
format	article
author	Bin Wang Yingyi Zhang Tao Qing Kaichen Xing Jie Li Timing Zhen Sibo Zhu Xianbao Zhan
author_facet	Bin Wang Yingyi Zhang Tao Qing Kaichen Xing Jie Li Timing Zhen Sibo Zhu Xianbao Zhan
author_sort	Bin Wang
title	Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq
title_short	Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq
title_full	Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq
title_fullStr	Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq
title_full_unstemmed	Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq
title_sort	comprehensive analysis of metastatic gastric cancer tumour cells using single-cell rna-seq
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6f415778d2ba4f12b6d97c878fc15f5b
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Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq

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