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Spatial transcriptomics technology in cancer research

In recent years, spatial transcriptomics (ST) technologies have developed rapidly and have been widely used in constructing spatial tissue atlases and characterizing spatiotemporal heterogeneity of cancers. Currently, ST has been used to profile spatial heterogeneity in multiple cancer types. Beside...

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Detalles Bibliográficos
Autores principales: Yu, Qichao, Jiang, Miaomiao, Wu, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606570/
https://www.ncbi.nlm.nih.gov/pubmed/36313703
http://dx.doi.org/10.3389/fonc.2022.1019111
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author Yu, Qichao
Jiang, Miaomiao
Wu, Liang
author_facet Yu, Qichao
Jiang, Miaomiao
Wu, Liang
author_sort Yu, Qichao
collection PubMed
description In recent years, spatial transcriptomics (ST) technologies have developed rapidly and have been widely used in constructing spatial tissue atlases and characterizing spatiotemporal heterogeneity of cancers. Currently, ST has been used to profile spatial heterogeneity in multiple cancer types. Besides, ST is a benefit for identifying and comprehensively understanding special spatial areas such as tumor interface and tertiary lymphoid structures (TLSs), which exhibit unique tumor microenvironments (TMEs). Therefore, ST has also shown great potential to improve pathological diagnosis and identify novel prognostic factors in cancer. This review presents recent advances and prospects of applications on cancer research based on ST technologies as well as the challenges.
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spelling pubmed-96065702022-10-28 Spatial transcriptomics technology in cancer research Yu, Qichao Jiang, Miaomiao Wu, Liang Front Oncol Oncology In recent years, spatial transcriptomics (ST) technologies have developed rapidly and have been widely used in constructing spatial tissue atlases and characterizing spatiotemporal heterogeneity of cancers. Currently, ST has been used to profile spatial heterogeneity in multiple cancer types. Besides, ST is a benefit for identifying and comprehensively understanding special spatial areas such as tumor interface and tertiary lymphoid structures (TLSs), which exhibit unique tumor microenvironments (TMEs). Therefore, ST has also shown great potential to improve pathological diagnosis and identify novel prognostic factors in cancer. This review presents recent advances and prospects of applications on cancer research based on ST technologies as well as the challenges. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9606570/ /pubmed/36313703 http://dx.doi.org/10.3389/fonc.2022.1019111 Text en Copyright © 2022 Yu, Jiang and Wu 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
Yu, Qichao
Jiang, Miaomiao
Wu, Liang
Spatial transcriptomics technology in cancer research
title Spatial transcriptomics technology in cancer research
title_full Spatial transcriptomics technology in cancer research
title_fullStr Spatial transcriptomics technology in cancer research
title_full_unstemmed Spatial transcriptomics technology in cancer research
title_short Spatial transcriptomics technology in cancer research
title_sort spatial transcriptomics technology in cancer research
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606570/
https://www.ncbi.nlm.nih.gov/pubmed/36313703
http://dx.doi.org/10.3389/fonc.2022.1019111
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AT jiangmiaomiao spatialtranscriptomicstechnologyincancerresearch
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