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...
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Frontiers Media S.A.
2022-11-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1063477/full |
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author | Quanquan Lin Zhanjie Fang Jinlong Sun Fei Chen Yipeng Ren Zhenhong Fu Sefei Yang Lin Feng Feng Wang Zhigang Song Wei Chen Wenjun Yu Chen Wang Yixin Shi Yue Liang Haizhong Zhang Hongzhu Qu Xiangdong Fang Qing Xi |
author_facet | Quanquan Lin Zhanjie Fang Jinlong Sun Fei Chen Yipeng Ren Zhenhong Fu Sefei Yang Lin Feng Feng Wang Zhigang Song Wei Chen Wenjun Yu Chen Wang Yixin Shi Yue Liang Haizhong Zhang Hongzhu Qu Xiangdong Fang Qing Xi |
author_sort | Quanquan Lin |
collection | DOAJ |
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. |
first_indexed | 2024-04-12T08:49:12Z |
format | Article |
id | doaj.art-4ff0182e462d40269f8ff11b7c972660 |
institution | Directory Open Access Journal |
issn | 2234-943X |
language | English |
last_indexed | 2024-04-12T08:49:12Z |
publishDate | 2022-11-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Oncology |
spelling | doaj.art-4ff0182e462d40269f8ff11b7c9726602022-12-22T03:39:37ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-11-011210.3389/fonc.2022.10634771063477Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinomaQuanquan Lin0Zhanjie Fang1Jinlong Sun2Fei Chen3Yipeng Ren4Zhenhong Fu5Sefei Yang6Lin Feng7Feng Wang8Zhigang Song9Wei Chen10Wenjun Yu11Chen Wang12Yixin Shi13Yue Liang14Haizhong Zhang15Hongzhu Qu16Xiangdong Fang17Qing Xi18Department of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaKey Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaKey Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, ChinaKey Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, ChinaKey Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaKey Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, ChinaKey Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, ChinaDepartment of Stomatology, Chinese People's Liberation Army General Hospital, Beijing, ChinaAdenoid 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.https://www.frontiersin.org/articles/10.3389/fonc.2022.1063477/fulladenoid cystic carcinomahead and neck cancersingle-cell transcriptomic analysisMYBEN1 |
spellingShingle | Quanquan Lin Zhanjie Fang Jinlong Sun Fei Chen Yipeng Ren Zhenhong Fu Sefei Yang Lin Feng Feng Wang Zhigang Song Wei Chen Wenjun Yu Chen Wang Yixin Shi Yue Liang Haizhong Zhang Hongzhu Qu Xiangdong Fang Qing Xi Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma Frontiers in Oncology adenoid cystic carcinoma head and neck cancer single-cell transcriptomic analysis MYB EN1 |
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 | adenoid cystic carcinoma head and neck cancer single-cell transcriptomic analysis MYB EN1 |
url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1063477/full |
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