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Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity
Glioblastoma (GBM), a deadly brain tumor, is still one of a few lasting challenges of contemporary oncology. Current therapies fail to significantly improve patient survival due to GBM tremendous genetic, transcriptomic, immunological, and sex-dependent heterogeneity. Over the years, clinical differ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978243/ https://www.ncbi.nlm.nih.gov/pubmed/36875988 http://dx.doi.org/10.12688/f1000research.126243.2 |
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author | Perdyan, Adrian Lawrynowicz, Urszula Horbacz, Monika Kaminska, Bozena Mieczkowski, Jakub |
author_facet | Perdyan, Adrian Lawrynowicz, Urszula Horbacz, Monika Kaminska, Bozena Mieczkowski, Jakub |
author_sort | Perdyan, Adrian |
collection | PubMed |
description | Glioblastoma (GBM), a deadly brain tumor, is still one of a few lasting challenges of contemporary oncology. Current therapies fail to significantly improve patient survival due to GBM tremendous genetic, transcriptomic, immunological, and sex-dependent heterogeneity. Over the years, clinical differences between males and females were characterized. For instance, higher incidence of GBM in males or distinct responses to cancer chemotherapy and immunotherapy between males and females have been noted. Despite the introduction of single-cell RNA sequencing and spatial transcriptomics, these differences were not further investigated as studies were focused only on revealing the general picture of GBM heterogeneity. Hence, in this mini-review, we summarized the current state of knowledge on GBM heterogeneity revealed by single-cell RNA sequencing and spatial transcriptomics with regard to genetics, immunology, and sex-dependent differences. Additionally, we highlighted future research directions which would fill the gap of knowledge on the impact of patient’s sex on the disease outcome. |
format | Online Article Text |
id | pubmed-9978243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-99782432023-03-03 Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity Perdyan, Adrian Lawrynowicz, Urszula Horbacz, Monika Kaminska, Bozena Mieczkowski, Jakub F1000Res Review Glioblastoma (GBM), a deadly brain tumor, is still one of a few lasting challenges of contemporary oncology. Current therapies fail to significantly improve patient survival due to GBM tremendous genetic, transcriptomic, immunological, and sex-dependent heterogeneity. Over the years, clinical differences between males and females were characterized. For instance, higher incidence of GBM in males or distinct responses to cancer chemotherapy and immunotherapy between males and females have been noted. Despite the introduction of single-cell RNA sequencing and spatial transcriptomics, these differences were not further investigated as studies were focused only on revealing the general picture of GBM heterogeneity. Hence, in this mini-review, we summarized the current state of knowledge on GBM heterogeneity revealed by single-cell RNA sequencing and spatial transcriptomics with regard to genetics, immunology, and sex-dependent differences. Additionally, we highlighted future research directions which would fill the gap of knowledge on the impact of patient’s sex on the disease outcome. F1000 Research Limited 2023-08-09 /pmc/articles/PMC9978243/ /pubmed/36875988 http://dx.doi.org/10.12688/f1000research.126243.2 Text en Copyright: © 2023 Perdyan A et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Perdyan, Adrian Lawrynowicz, Urszula Horbacz, Monika Kaminska, Bozena Mieczkowski, Jakub Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity |
title | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity |
title_full | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity |
title_fullStr | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity |
title_full_unstemmed | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity |
title_short | Integration of single-cell RNA sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity |
title_sort | integration of single-cell rna sequencing and spatial transcriptomics to reveal the glioblastoma heterogeneity |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978243/ https://www.ncbi.nlm.nih.gov/pubmed/36875988 http://dx.doi.org/10.12688/f1000research.126243.2 |
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