Cargando…
Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas
Small bowel adenocarcinomas (SBAs) are rare malignant tumors with a high mortality rate, and their molecular characteristics are still largely unexplored. Here we performed single-cell RNA sequencing for tumor samples from 12 SBA patients and predicted drug candidates for SBA. We identified four pre...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475032/ https://www.ncbi.nlm.nih.gov/pubmed/36104333 http://dx.doi.org/10.1038/s41421-022-00434-x |
_version_ | 1784789815004233728 |
---|---|
author | Yang, Jingwei Zhou, Xin Dong, Ji Wang, Wendong Lu, Yongqu Gao, Yuan Zhang, Yu Mao, Yunuo Gao, Junpeng Wang, Wei Li, Qingqing Gao, Shuai Wen, Lu Fu, Wei Tang, Fuchou |
author_facet | Yang, Jingwei Zhou, Xin Dong, Ji Wang, Wendong Lu, Yongqu Gao, Yuan Zhang, Yu Mao, Yunuo Gao, Junpeng Wang, Wei Li, Qingqing Gao, Shuai Wen, Lu Fu, Wei Tang, Fuchou |
author_sort | Yang, Jingwei |
collection | PubMed |
description | Small bowel adenocarcinomas (SBAs) are rare malignant tumors with a high mortality rate, and their molecular characteristics are still largely unexplored. Here we performed single-cell RNA sequencing for tumor samples from 12 SBA patients and predicted drug candidates for SBA. We identified four prevalent subtypes of malignant cells with distinct signatures including cell cycle program, mitochondria program, metabolism program and epithelial–mesenchymal transition (EMT) program. The progression relationships of these four subtypes of malignant cells were also revealed, which started from the cell cycle program, through the mitochondria program and then progressing into either the metabolism program or the EMT program. Importantly, ligand–receptor interaction pairs were found to be specifically enriched in pairs of EMT-program malignant cells and highly exhausted CD8(+) T cells, suggesting that cancer cell subpopulations with EMT features may contribute most to the exhaustion of T cells. We also showed that the duodenal subtype of SBA exhibited molecular features more similar to gastric cancer whereas jejunal subtype of SBA more similar to colorectal cancer. Especially, we predicted specific drugs for SBA based on differential gene expression signatures between malignant cells and normal epithelial cells of SBA, and verified more potent inhibitory effects of volasertib and tozasertib for SBA cancer cells than conventional drugs of SBA at the same concentration, which provides new clues for treatments of SBA. In summary, our study provides a blueprint of the molecular signatures of both tumor cells and tumor microenvironment cells in SBA and reveals potential targets and drug candidates for its clinical treatments. |
format | Online Article Text |
id | pubmed-9475032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-94750322022-09-16 Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas Yang, Jingwei Zhou, Xin Dong, Ji Wang, Wendong Lu, Yongqu Gao, Yuan Zhang, Yu Mao, Yunuo Gao, Junpeng Wang, Wei Li, Qingqing Gao, Shuai Wen, Lu Fu, Wei Tang, Fuchou Cell Discov Article Small bowel adenocarcinomas (SBAs) are rare malignant tumors with a high mortality rate, and their molecular characteristics are still largely unexplored. Here we performed single-cell RNA sequencing for tumor samples from 12 SBA patients and predicted drug candidates for SBA. We identified four prevalent subtypes of malignant cells with distinct signatures including cell cycle program, mitochondria program, metabolism program and epithelial–mesenchymal transition (EMT) program. The progression relationships of these four subtypes of malignant cells were also revealed, which started from the cell cycle program, through the mitochondria program and then progressing into either the metabolism program or the EMT program. Importantly, ligand–receptor interaction pairs were found to be specifically enriched in pairs of EMT-program malignant cells and highly exhausted CD8(+) T cells, suggesting that cancer cell subpopulations with EMT features may contribute most to the exhaustion of T cells. We also showed that the duodenal subtype of SBA exhibited molecular features more similar to gastric cancer whereas jejunal subtype of SBA more similar to colorectal cancer. Especially, we predicted specific drugs for SBA based on differential gene expression signatures between malignant cells and normal epithelial cells of SBA, and verified more potent inhibitory effects of volasertib and tozasertib for SBA cancer cells than conventional drugs of SBA at the same concentration, which provides new clues for treatments of SBA. In summary, our study provides a blueprint of the molecular signatures of both tumor cells and tumor microenvironment cells in SBA and reveals potential targets and drug candidates for its clinical treatments. Springer Nature Singapore 2022-09-14 /pmc/articles/PMC9475032/ /pubmed/36104333 http://dx.doi.org/10.1038/s41421-022-00434-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yang, Jingwei Zhou, Xin Dong, Ji Wang, Wendong Lu, Yongqu Gao, Yuan Zhang, Yu Mao, Yunuo Gao, Junpeng Wang, Wei Li, Qingqing Gao, Shuai Wen, Lu Fu, Wei Tang, Fuchou Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas |
title | Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas |
title_full | Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas |
title_fullStr | Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas |
title_full_unstemmed | Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas |
title_short | Single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas |
title_sort | single-cell profiling reveals molecular basis of malignant phenotypes and tumor microenvironments in small bowel adenocarcinomas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475032/ https://www.ncbi.nlm.nih.gov/pubmed/36104333 http://dx.doi.org/10.1038/s41421-022-00434-x |
work_keys_str_mv | AT yangjingwei singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT zhouxin singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT dongji singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT wangwendong singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT luyongqu singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT gaoyuan singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT zhangyu singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT maoyunuo singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT gaojunpeng singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT wangwei singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT liqingqing singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT gaoshuai singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT wenlu singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT fuwei singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas AT tangfuchou singlecellprofilingrevealsmolecularbasisofmalignantphenotypesandtumormicroenvironmentsinsmallboweladenocarcinomas |