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Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients
Cancer-associated fibroblasts (CAFs), a prominent component of the tumor microenvironment, play an important role in tumor development, invasion, and drug resistance. The expression of distinct “CAF-markers” which separates CAFs from normal fibroblasts and epithelial cells, have traditionally been u...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457345/ https://www.ncbi.nlm.nih.gov/pubmed/37626157 http://dx.doi.org/10.1038/s41598-023-40908-w |
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author | Dwivedi, Nehanjali Shukla, Nidhi Prathima, K. M. Das, Manjula Dhar, Sujan K. |
author_facet | Dwivedi, Nehanjali Shukla, Nidhi Prathima, K. M. Das, Manjula Dhar, Sujan K. |
author_sort | Dwivedi, Nehanjali |
collection | PubMed |
description | Cancer-associated fibroblasts (CAFs), a prominent component of the tumor microenvironment, play an important role in tumor development, invasion, and drug resistance. The expression of distinct “CAF-markers” which separates CAFs from normal fibroblasts and epithelial cells, have traditionally been used to identify them. These commonly used CAF-markers have been reported to differ greatly across different CAF subpopulations, even within a cancer type. Using an unbiased -omic approach from public data and in-house RNAseq data from patient derived novel CAF cells, TIMP-1, SPARC, COL1A2, COL3A1 and COL1A1 were identified as potential CAF-markers by differential gene expression analysis using publicly available single cell sequencing data and in-house RNAseq data to distinguish CAF populations from tumor epithelia and normal oral fibroblasts. Experimental validation using qPCR and immunofluorescence revealed CAF-specific higher expression of TIMP-1 and COL1A2 as compared to other markers in 5 novel CAF cells, derived from patients of diverse gender, habits and different locations of head and neck squamous cell carcinoma (HNSC). Upon immunohistochemical (IHC) analysis of FFPE blocks however, COL1A2 showed better differential staining between tumor epithelia and tumor stroma. Similar data science driven approach utilizing single cell sequencing and RNAseq data from stabilized CAFs can be employed to identify CAF-markers in various cancers. |
format | Online Article Text |
id | pubmed-10457345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104573452023-08-27 Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients Dwivedi, Nehanjali Shukla, Nidhi Prathima, K. M. Das, Manjula Dhar, Sujan K. Sci Rep Article Cancer-associated fibroblasts (CAFs), a prominent component of the tumor microenvironment, play an important role in tumor development, invasion, and drug resistance. The expression of distinct “CAF-markers” which separates CAFs from normal fibroblasts and epithelial cells, have traditionally been used to identify them. These commonly used CAF-markers have been reported to differ greatly across different CAF subpopulations, even within a cancer type. Using an unbiased -omic approach from public data and in-house RNAseq data from patient derived novel CAF cells, TIMP-1, SPARC, COL1A2, COL3A1 and COL1A1 were identified as potential CAF-markers by differential gene expression analysis using publicly available single cell sequencing data and in-house RNAseq data to distinguish CAF populations from tumor epithelia and normal oral fibroblasts. Experimental validation using qPCR and immunofluorescence revealed CAF-specific higher expression of TIMP-1 and COL1A2 as compared to other markers in 5 novel CAF cells, derived from patients of diverse gender, habits and different locations of head and neck squamous cell carcinoma (HNSC). Upon immunohistochemical (IHC) analysis of FFPE blocks however, COL1A2 showed better differential staining between tumor epithelia and tumor stroma. Similar data science driven approach utilizing single cell sequencing and RNAseq data from stabilized CAFs can be employed to identify CAF-markers in various cancers. Nature Publishing Group UK 2023-08-25 /pmc/articles/PMC10457345/ /pubmed/37626157 http://dx.doi.org/10.1038/s41598-023-40908-w Text en © The Author(s) 2023 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 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/) . |
spellingShingle | Article Dwivedi, Nehanjali Shukla, Nidhi Prathima, K. M. Das, Manjula Dhar, Sujan K. Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients |
title | Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients |
title_full | Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients |
title_fullStr | Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients |
title_full_unstemmed | Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients |
title_short | Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients |
title_sort | novel caf-identifiers via transcriptomic and protein level analysis in hnsc patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457345/ https://www.ncbi.nlm.nih.gov/pubmed/37626157 http://dx.doi.org/10.1038/s41598-023-40908-w |
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