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Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma
Adenoid cystic carcinoma (ACC) is a malignant tumor that originates from exocrine gland epithelial cells. We profiled the transcriptomes of 49,948 cells from paracarcinoma and carcinoma tissues of three patients using single-cell RNA sequencing. Three main types of the epithelial cells were identifi...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714264/ https://www.ncbi.nlm.nih.gov/pubmed/36465348 http://dx.doi.org/10.3389/fonc.2022.1063477 |
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author | Lin, Quanquan Fang, Zhanjie Sun, Jinlong Chen, Fei Ren, Yipeng Fu, Zhenhong Yang, Sefei Feng, Lin Wang, Feng Song, Zhigang Chen, Wei Yu, Wenjun Wang, Chen Shi, Yixin Liang, Yue Zhang, Haizhong Qu, Hongzhu Fang, Xiangdong Xi, Qing |
author_facet | Lin, Quanquan Fang, Zhanjie Sun, Jinlong Chen, Fei Ren, Yipeng Fu, Zhenhong Yang, Sefei Feng, Lin Wang, Feng Song, Zhigang Chen, Wei Yu, Wenjun Wang, Chen Shi, Yixin Liang, Yue Zhang, Haizhong Qu, Hongzhu Fang, Xiangdong Xi, Qing |
author_sort | Lin, Quanquan |
collection | PubMed |
description | Adenoid cystic carcinoma (ACC) is a malignant tumor that originates from exocrine gland epithelial cells. We profiled the transcriptomes of 49,948 cells from paracarcinoma and carcinoma tissues of three patients using single-cell RNA sequencing. Three main types of the epithelial cells were identified into myoepithelial-like cells, intercalated duct-like cells, and duct-like cells by marker genes. And part of intercalated duct-like cells with special copy number variations which altered with MYB family gene and EN1 transcriptomes were identified as premalignant cells. Developmental pseudo-time analysis showed that the premalignant cells eventually transformed into malignant cells. Furthermore, MYB and MYBL1 were found to belong to two different gene modules and were expressed in a mutually exclusive manner. The two gene modules drove ACC progression into different directions. Our findings provide novel evidence to explain the high recurrence rate of ACC and its characteristic biological behavior. |
format | Online Article Text |
id | pubmed-9714264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97142642022-12-02 Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma Lin, Quanquan Fang, Zhanjie Sun, Jinlong Chen, Fei Ren, Yipeng Fu, Zhenhong Yang, Sefei Feng, Lin Wang, Feng Song, Zhigang Chen, Wei Yu, Wenjun Wang, Chen Shi, Yixin Liang, Yue Zhang, Haizhong Qu, Hongzhu Fang, Xiangdong Xi, Qing Front Oncol Oncology Adenoid cystic carcinoma (ACC) is a malignant tumor that originates from exocrine gland epithelial cells. We profiled the transcriptomes of 49,948 cells from paracarcinoma and carcinoma tissues of three patients using single-cell RNA sequencing. Three main types of the epithelial cells were identified into myoepithelial-like cells, intercalated duct-like cells, and duct-like cells by marker genes. And part of intercalated duct-like cells with special copy number variations which altered with MYB family gene and EN1 transcriptomes were identified as premalignant cells. Developmental pseudo-time analysis showed that the premalignant cells eventually transformed into malignant cells. Furthermore, MYB and MYBL1 were found to belong to two different gene modules and were expressed in a mutually exclusive manner. The two gene modules drove ACC progression into different directions. Our findings provide novel evidence to explain the high recurrence rate of ACC and its characteristic biological behavior. Frontiers Media S.A. 2022-11-17 /pmc/articles/PMC9714264/ /pubmed/36465348 http://dx.doi.org/10.3389/fonc.2022.1063477 Text en Copyright © 2022 Lin, Fang, Sun, Chen, Ren, Fu, Yang, Feng, Wang, Song, Chen, Yu, Wang, Shi, Liang, Zhang, Qu, Fang and Xi 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 | Oncology Lin, Quanquan Fang, Zhanjie Sun, Jinlong Chen, Fei Ren, Yipeng Fu, Zhenhong Yang, Sefei Feng, Lin Wang, Feng Song, Zhigang Chen, Wei Yu, Wenjun Wang, Chen Shi, Yixin Liang, Yue Zhang, Haizhong Qu, Hongzhu Fang, Xiangdong Xi, Qing Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma |
title | Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma |
title_full | Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma |
title_fullStr | Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma |
title_full_unstemmed | Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma |
title_short | Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma |
title_sort | single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714264/ https://www.ncbi.nlm.nih.gov/pubmed/36465348 http://dx.doi.org/10.3389/fonc.2022.1063477 |
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