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Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics
Lymphomas are a heterogenous group of lymphoid neoplasms with a wide variety of clinical presentations. Response to treatment and prognosis differs both between and within lymphoma subtypes. Improved molecular and genetic profiling has increased our understanding of the factors which drive these cli...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586500/ https://www.ncbi.nlm.nih.gov/pubmed/37869076 http://dx.doi.org/10.3389/fonc.2023.1258245 |
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author | Pickard, Keir Stephenson, Emily Mitchell, Alex Jardine, Laura Bacon, Chris M. |
author_facet | Pickard, Keir Stephenson, Emily Mitchell, Alex Jardine, Laura Bacon, Chris M. |
author_sort | Pickard, Keir |
collection | PubMed |
description | Lymphomas are a heterogenous group of lymphoid neoplasms with a wide variety of clinical presentations. Response to treatment and prognosis differs both between and within lymphoma subtypes. Improved molecular and genetic profiling has increased our understanding of the factors which drive these clinical dynamics. Immune and non-immune cells within the lymphoma tumor microenvironment (TME) can both play a key role in antitumor immune responses and conversely also support lymphoma growth and survival. A deeper understanding of the lymphoma TME would identify key lymphoma and immune cell interactions which could be disrupted for therapeutic benefit. Single cell RNA sequencing studies have provided a more comprehensive description of the TME, however these studies are limited in that they lack spatial context. Spatial transcriptomics provides a comprehensive analysis of gene expression within tissue and is an attractive technique in lymphoma to both disentangle the complex interactions between lymphoma and TME cells and improve understanding of how lymphoma cells evade the host immune response. This article summarizes current spatial transcriptomic technologies and their use in lymphoma research to date. The resulting data has already enriched our knowledge of the mechanisms and clinical impact of an immunosuppressive TME in lymphoma and the accrual of further studies will provide a fundamental step in the march towards personalized medicine. |
format | Online Article Text |
id | pubmed-10586500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105865002023-10-20 Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics Pickard, Keir Stephenson, Emily Mitchell, Alex Jardine, Laura Bacon, Chris M. Front Oncol Oncology Lymphomas are a heterogenous group of lymphoid neoplasms with a wide variety of clinical presentations. Response to treatment and prognosis differs both between and within lymphoma subtypes. Improved molecular and genetic profiling has increased our understanding of the factors which drive these clinical dynamics. Immune and non-immune cells within the lymphoma tumor microenvironment (TME) can both play a key role in antitumor immune responses and conversely also support lymphoma growth and survival. A deeper understanding of the lymphoma TME would identify key lymphoma and immune cell interactions which could be disrupted for therapeutic benefit. Single cell RNA sequencing studies have provided a more comprehensive description of the TME, however these studies are limited in that they lack spatial context. Spatial transcriptomics provides a comprehensive analysis of gene expression within tissue and is an attractive technique in lymphoma to both disentangle the complex interactions between lymphoma and TME cells and improve understanding of how lymphoma cells evade the host immune response. This article summarizes current spatial transcriptomic technologies and their use in lymphoma research to date. The resulting data has already enriched our knowledge of the mechanisms and clinical impact of an immunosuppressive TME in lymphoma and the accrual of further studies will provide a fundamental step in the march towards personalized medicine. Frontiers Media S.A. 2023-10-04 /pmc/articles/PMC10586500/ /pubmed/37869076 http://dx.doi.org/10.3389/fonc.2023.1258245 Text en Copyright © 2023 Pickard, Stephenson, Mitchell, Jardine and Bacon 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). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Pickard, Keir Stephenson, Emily Mitchell, Alex Jardine, Laura Bacon, Chris M. Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics |
title | Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics |
title_full | Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics |
title_fullStr | Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics |
title_full_unstemmed | Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics |
title_short | Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics |
title_sort | location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586500/ https://www.ncbi.nlm.nih.gov/pubmed/37869076 http://dx.doi.org/10.3389/fonc.2023.1258245 |
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