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Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806779/ https://www.ncbi.nlm.nih.gov/pubmed/33441952 http://dx.doi.org/10.1038/s41598-020-80881-2 |
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author | Wang, Bin Zhang, Yingyi Qing, Tao Xing, Kaichen Li, Jie Zhen, Timing Zhu, Sibo Zhan, Xianbao |
author_facet | Wang, Bin Zhang, Yingyi Qing, Tao Xing, Kaichen Li, Jie Zhen, Timing Zhu, Sibo Zhan, Xianbao |
author_sort | Wang, Bin |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7806779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78067792021-01-14 Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq Wang, Bin Zhang, Yingyi Qing, Tao Xing, Kaichen Li, Jie Zhen, Timing Zhu, Sibo Zhan, Xianbao Sci Rep Article 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. Nature Publishing Group UK 2021-01-13 /pmc/articles/PMC7806779/ /pubmed/33441952 http://dx.doi.org/10.1038/s41598-020-80881-2 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wang, Bin Zhang, Yingyi Qing, Tao Xing, Kaichen Li, Jie Zhen, Timing Zhu, Sibo Zhan, Xianbao Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806779/ https://www.ncbi.nlm.nih.gov/pubmed/33441952 http://dx.doi.org/10.1038/s41598-020-80881-2 |
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