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Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data

Tumor tissues contain both tumor and non-tumor cells, which include infiltrated immune cells and stromal cells, collectively called the tumor microenvironment (TME). Single-cell RNA sequencing (scRNAseq) enables the examination of heterogeneity of tumor cells and TME. In this review, we examined scR...

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Detalles Bibliográficos
Autores principales: Wang, Wenhui, Wang, Li, She, Junjun, Zhu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Compuscript 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763007/
https://www.ncbi.nlm.nih.gov/pubmed/34398535
http://dx.doi.org/10.20892/j.issn.2095-3941.2020.0762
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author Wang, Wenhui
Wang, Li
She, Junjun
Zhu, Jun
author_facet Wang, Wenhui
Wang, Li
She, Junjun
Zhu, Jun
author_sort Wang, Wenhui
collection PubMed
description Tumor tissues contain both tumor and non-tumor cells, which include infiltrated immune cells and stromal cells, collectively called the tumor microenvironment (TME). Single-cell RNA sequencing (scRNAseq) enables the examination of heterogeneity of tumor cells and TME. In this review, we examined scRNAseq datasets for multiple cancer types and evaluated the heterogeneity of major cell type composition in different cancer types. We further showed that endothelial cells and fibroblasts/myofibroblasts in different cancer types can be classified into common subtypes, and the subtype composition is clearly associated with cancer characteristic and therapy response.
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spelling pubmed-87630072022-02-07 Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data Wang, Wenhui Wang, Li She, Junjun Zhu, Jun Cancer Biol Med Review Tumor tissues contain both tumor and non-tumor cells, which include infiltrated immune cells and stromal cells, collectively called the tumor microenvironment (TME). Single-cell RNA sequencing (scRNAseq) enables the examination of heterogeneity of tumor cells and TME. In this review, we examined scRNAseq datasets for multiple cancer types and evaluated the heterogeneity of major cell type composition in different cancer types. We further showed that endothelial cells and fibroblasts/myofibroblasts in different cancer types can be classified into common subtypes, and the subtype composition is clearly associated with cancer characteristic and therapy response. Compuscript 2022-01-15 2022-01-15 /pmc/articles/PMC8763007/ /pubmed/34398535 http://dx.doi.org/10.20892/j.issn.2095-3941.2020.0762 Text en Copyright: © 2022, Cancer Biology & Medicine 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) 4.0 (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
spellingShingle Review
Wang, Wenhui
Wang, Li
She, Junjun
Zhu, Jun
Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data
title Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data
title_full Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data
title_fullStr Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data
title_full_unstemmed Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data
title_short Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data
title_sort examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell rna sequencing data
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763007/
https://www.ncbi.nlm.nih.gov/pubmed/34398535
http://dx.doi.org/10.20892/j.issn.2095-3941.2020.0762
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