Cargando…

Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq

BACKGROUND: Lung cancer, one of the most common malignant tumors, exhibits high inter- and intra-tumor heterogeneity which contributes significantly to treatment resistance and failure. Single-cell RNA sequencing (scRNA-seq) has been widely used to dissect the cellular composition and characterize t...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Qingqing, Wang, Rui, Yang, Zhenlin, Li, Wen, Yang, Jingwei, Wang, Zhijie, Bai, Hua, Cui, Yueli, Tian, Yanhua, Wu, Zixin, Guo, Yuqing, Xu, Jiachen, Wen, Lu, He, Jie, Tang, Fuchou, Wang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375433/
https://www.ncbi.nlm.nih.gov/pubmed/35962452
http://dx.doi.org/10.1186/s13073-022-01089-9
_version_ 1784767963856896000
author Li, Qingqing
Wang, Rui
Yang, Zhenlin
Li, Wen
Yang, Jingwei
Wang, Zhijie
Bai, Hua
Cui, Yueli
Tian, Yanhua
Wu, Zixin
Guo, Yuqing
Xu, Jiachen
Wen, Lu
He, Jie
Tang, Fuchou
Wang, Jie
author_facet Li, Qingqing
Wang, Rui
Yang, Zhenlin
Li, Wen
Yang, Jingwei
Wang, Zhijie
Bai, Hua
Cui, Yueli
Tian, Yanhua
Wu, Zixin
Guo, Yuqing
Xu, Jiachen
Wen, Lu
He, Jie
Tang, Fuchou
Wang, Jie
author_sort Li, Qingqing
collection PubMed
description BACKGROUND: Lung cancer, one of the most common malignant tumors, exhibits high inter- and intra-tumor heterogeneity which contributes significantly to treatment resistance and failure. Single-cell RNA sequencing (scRNA-seq) has been widely used to dissect the cellular composition and characterize the molecular properties of cancer cells and their tumor microenvironment in lung cancer. However, the transcriptomic heterogeneity among various cancer cells in non-small cell lung cancer (NSCLC) warrants further illustration. METHODS: To comprehensively analyze the molecular heterogeneity of NSCLC, we performed high-precision single-cell RNA-seq analyses on 7364 individual cells from tumor tissues and matched normal tissues from 19 primary lung cancer patients and 1 pulmonary chondroid hamartoma patient. RESULTS: In 6 of 16 patients sequenced, we identified a significant proportion of cancer cells simultaneously expressing classical marker genes for two or even three histologic subtypes of NSCLC—adenocarcinoma (ADC), squamous cell carcinoma (SCC), and neuroendocrine tumor (NET) in the same individual cell, which we defined as mixed-lineage tumor cells; this was verified by both co-immunostaining and RNA in situ hybridization. These data suggest that mixed-lineage tumor cells are highly plastic with mixed features of different types of NSCLC. Both copy number variation (CNV) patterns and mitochondrial mutations clearly showed that the mixed-lineage and single-lineage tumor cells from the same patient had common tumor ancestors rather than different origins. Moreover, we revealed that patients with high mixed-lineage features of different cancer subtypes had worse survival than patients with low mixed-lineage features, indicating that mixed-lineage tumor features were associated with poorer prognosis. In addition, gene signatures specific to mixed-lineage tumor cells were identified, including AKR1B1. Gene knockdown and small molecule inhibition of AKR1B1 can significantly decrease cell proliferation and promote cell apoptosis, suggesting that AKR1B1 plays an important role in tumorigenesis and can serve as a candidate target for tumor therapy of NSCLC patients with mixed-lineage tumor features. CONCLUSIONS: In summary, our work provides novel insights into the tumor heterogeneity of NSCLC in terms of the identification of prevalent mixed-lineage subpopulations of cancer cells with combined signatures of SCC, ADC, and NET and offers clues for potential treatment strategies in these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01089-9.
format Online
Article
Text
id pubmed-9375433
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-93754332022-08-14 Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq Li, Qingqing Wang, Rui Yang, Zhenlin Li, Wen Yang, Jingwei Wang, Zhijie Bai, Hua Cui, Yueli Tian, Yanhua Wu, Zixin Guo, Yuqing Xu, Jiachen Wen, Lu He, Jie Tang, Fuchou Wang, Jie Genome Med Research BACKGROUND: Lung cancer, one of the most common malignant tumors, exhibits high inter- and intra-tumor heterogeneity which contributes significantly to treatment resistance and failure. Single-cell RNA sequencing (scRNA-seq) has been widely used to dissect the cellular composition and characterize the molecular properties of cancer cells and their tumor microenvironment in lung cancer. However, the transcriptomic heterogeneity among various cancer cells in non-small cell lung cancer (NSCLC) warrants further illustration. METHODS: To comprehensively analyze the molecular heterogeneity of NSCLC, we performed high-precision single-cell RNA-seq analyses on 7364 individual cells from tumor tissues and matched normal tissues from 19 primary lung cancer patients and 1 pulmonary chondroid hamartoma patient. RESULTS: In 6 of 16 patients sequenced, we identified a significant proportion of cancer cells simultaneously expressing classical marker genes for two or even three histologic subtypes of NSCLC—adenocarcinoma (ADC), squamous cell carcinoma (SCC), and neuroendocrine tumor (NET) in the same individual cell, which we defined as mixed-lineage tumor cells; this was verified by both co-immunostaining and RNA in situ hybridization. These data suggest that mixed-lineage tumor cells are highly plastic with mixed features of different types of NSCLC. Both copy number variation (CNV) patterns and mitochondrial mutations clearly showed that the mixed-lineage and single-lineage tumor cells from the same patient had common tumor ancestors rather than different origins. Moreover, we revealed that patients with high mixed-lineage features of different cancer subtypes had worse survival than patients with low mixed-lineage features, indicating that mixed-lineage tumor features were associated with poorer prognosis. In addition, gene signatures specific to mixed-lineage tumor cells were identified, including AKR1B1. Gene knockdown and small molecule inhibition of AKR1B1 can significantly decrease cell proliferation and promote cell apoptosis, suggesting that AKR1B1 plays an important role in tumorigenesis and can serve as a candidate target for tumor therapy of NSCLC patients with mixed-lineage tumor features. CONCLUSIONS: In summary, our work provides novel insights into the tumor heterogeneity of NSCLC in terms of the identification of prevalent mixed-lineage subpopulations of cancer cells with combined signatures of SCC, ADC, and NET and offers clues for potential treatment strategies in these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01089-9. BioMed Central 2022-08-13 /pmc/articles/PMC9375433/ /pubmed/35962452 http://dx.doi.org/10.1186/s13073-022-01089-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Qingqing
Wang, Rui
Yang, Zhenlin
Li, Wen
Yang, Jingwei
Wang, Zhijie
Bai, Hua
Cui, Yueli
Tian, Yanhua
Wu, Zixin
Guo, Yuqing
Xu, Jiachen
Wen, Lu
He, Jie
Tang, Fuchou
Wang, Jie
Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq
title Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq
title_full Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq
title_fullStr Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq
title_full_unstemmed Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq
title_short Molecular profiling of human non-small cell lung cancer by single-cell RNA-seq
title_sort molecular profiling of human non-small cell lung cancer by single-cell rna-seq
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375433/
https://www.ncbi.nlm.nih.gov/pubmed/35962452
http://dx.doi.org/10.1186/s13073-022-01089-9
work_keys_str_mv AT liqingqing molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT wangrui molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT yangzhenlin molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT liwen molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT yangjingwei molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT wangzhijie molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT baihua molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT cuiyueli molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT tianyanhua molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT wuzixin molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT guoyuqing molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT xujiachen molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT wenlu molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT hejie molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT tangfuchou molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq
AT wangjie molecularprofilingofhumannonsmallcelllungcancerbysinglecellrnaseq