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Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics
Cancers exhibit functional and structural diversity in distinct patients. In this mass, normal and malignant cells create tumor microenvironment that is heterogeneous among patients. A residue from primary tumors leaks into the bloodstream as cell clusters and single cells, providing clues about dis...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195402/ https://www.ncbi.nlm.nih.gov/pubmed/32377572 http://dx.doi.org/10.1038/s41698-020-0114-1 |
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author | Allam, Mayar Cai, Shuangyi Coskun, Ahmet F. |
author_facet | Allam, Mayar Cai, Shuangyi Coskun, Ahmet F. |
author_sort | Allam, Mayar |
collection | PubMed |
description | Cancers exhibit functional and structural diversity in distinct patients. In this mass, normal and malignant cells create tumor microenvironment that is heterogeneous among patients. A residue from primary tumors leaks into the bloodstream as cell clusters and single cells, providing clues about disease progression and therapeutic response. The complexity of these hierarchical microenvironments needs to be elucidated. Although tumors comprise ample cell types, the standard clinical technique is still the histology that is limited to a single marker. Multiplexed imaging technologies open new directions in pathology. Spatially resolved proteomic, genomic, and metabolic profiles of human cancers are now possible at the single-cell level. This perspective discusses spatial bioimaging methods to decipher the cascade of microenvironments in solid and liquid biopsies. A unique synthesis of top-down and bottom-up analysis methods is presented. Spatial multi-omics profiles can be tailored to precision oncology through artificial intelligence. Data-driven patient profiling enables personalized medicine and beyond. |
format | Online Article Text |
id | pubmed-7195402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71954022020-05-06 Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics Allam, Mayar Cai, Shuangyi Coskun, Ahmet F. NPJ Precis Oncol Perspective Cancers exhibit functional and structural diversity in distinct patients. In this mass, normal and malignant cells create tumor microenvironment that is heterogeneous among patients. A residue from primary tumors leaks into the bloodstream as cell clusters and single cells, providing clues about disease progression and therapeutic response. The complexity of these hierarchical microenvironments needs to be elucidated. Although tumors comprise ample cell types, the standard clinical technique is still the histology that is limited to a single marker. Multiplexed imaging technologies open new directions in pathology. Spatially resolved proteomic, genomic, and metabolic profiles of human cancers are now possible at the single-cell level. This perspective discusses spatial bioimaging methods to decipher the cascade of microenvironments in solid and liquid biopsies. A unique synthesis of top-down and bottom-up analysis methods is presented. Spatial multi-omics profiles can be tailored to precision oncology through artificial intelligence. Data-driven patient profiling enables personalized medicine and beyond. Nature Publishing Group UK 2020-05-01 /pmc/articles/PMC7195402/ /pubmed/32377572 http://dx.doi.org/10.1038/s41698-020-0114-1 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Perspective Allam, Mayar Cai, Shuangyi Coskun, Ahmet F. Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics |
title | Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics |
title_full | Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics |
title_fullStr | Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics |
title_full_unstemmed | Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics |
title_short | Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics |
title_sort | multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195402/ https://www.ncbi.nlm.nih.gov/pubmed/32377572 http://dx.doi.org/10.1038/s41698-020-0114-1 |
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