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Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures
BACKGROUND: The presence of tumor-associated stroma and tumor-infiltrated immune cells have been largely reported across glioblastomas. Tumor purity, defined as the proportion of tumor cells in the tumor, was associated with the genomic and clinicopathologic features of the tumor and may alter the i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995093/ https://www.ncbi.nlm.nih.gov/pubmed/32021566 http://dx.doi.org/10.1186/s12935-020-1116-3 |
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author | Xiong, Yi Xiong, Zujian Cao, Hang Li, Chang Wanggou, Siyi Li, Xuejun |
author_facet | Xiong, Yi Xiong, Zujian Cao, Hang Li, Chang Wanggou, Siyi Li, Xuejun |
author_sort | Xiong, Yi |
collection | PubMed |
description | BACKGROUND: The presence of tumor-associated stroma and tumor-infiltrated immune cells have been largely reported across glioblastomas. Tumor purity, defined as the proportion of tumor cells in the tumor, was associated with the genomic and clinicopathologic features of the tumor and may alter the interpretation of glioblastoma biology. METHODS: We use an integrative approach to infer tumor purity based on multi-omic data and comprehensively evaluate the impact of tumor purity on glioblastoma (GBM) prognosis, genomic profiling, and the immune microenvironment in the Cancer Genome Atlas Consortium (TCGA) cohort. RESULTS: We found that low tumor purity was significantly associated with reduced survival time. Additionally, we established a purity-relevant 5-gene signature that was an independent prognostic biomarker and validated it in the TCGA, CGGA and GSE4412 cohort. Moreover, we correlated tumor purity with genomic characteristics and tumor microenvironment. We identified that gamma delta T cells in glioblastoma microenvironment were positively correlated with purity and served as a marker for favorable prognosis, which was validated in both TCGA and CGGA dataset. CONCLUSIONS: We observe the potential confounding effects of tumor purity on GBM clinical and molecular information interpretation. GBM microenvironment could be purity-dependent, which provides new insights into the clinical implications of glioblastoma. |
format | Online Article Text |
id | pubmed-6995093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69950932020-02-04 Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures Xiong, Yi Xiong, Zujian Cao, Hang Li, Chang Wanggou, Siyi Li, Xuejun Cancer Cell Int Primary Research BACKGROUND: The presence of tumor-associated stroma and tumor-infiltrated immune cells have been largely reported across glioblastomas. Tumor purity, defined as the proportion of tumor cells in the tumor, was associated with the genomic and clinicopathologic features of the tumor and may alter the interpretation of glioblastoma biology. METHODS: We use an integrative approach to infer tumor purity based on multi-omic data and comprehensively evaluate the impact of tumor purity on glioblastoma (GBM) prognosis, genomic profiling, and the immune microenvironment in the Cancer Genome Atlas Consortium (TCGA) cohort. RESULTS: We found that low tumor purity was significantly associated with reduced survival time. Additionally, we established a purity-relevant 5-gene signature that was an independent prognostic biomarker and validated it in the TCGA, CGGA and GSE4412 cohort. Moreover, we correlated tumor purity with genomic characteristics and tumor microenvironment. We identified that gamma delta T cells in glioblastoma microenvironment were positively correlated with purity and served as a marker for favorable prognosis, which was validated in both TCGA and CGGA dataset. CONCLUSIONS: We observe the potential confounding effects of tumor purity on GBM clinical and molecular information interpretation. GBM microenvironment could be purity-dependent, which provides new insights into the clinical implications of glioblastoma. BioMed Central 2020-01-31 /pmc/articles/PMC6995093/ /pubmed/32021566 http://dx.doi.org/10.1186/s12935-020-1116-3 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Primary Research Xiong, Yi Xiong, Zujian Cao, Hang Li, Chang Wanggou, Siyi Li, Xuejun Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures |
title | Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures |
title_full | Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures |
title_fullStr | Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures |
title_full_unstemmed | Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures |
title_short | Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures |
title_sort | multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995093/ https://www.ncbi.nlm.nih.gov/pubmed/32021566 http://dx.doi.org/10.1186/s12935-020-1116-3 |
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