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Tracking tumor evolution one-cell-at-a-time
Accumulating evidence suggests that intra-tumor heterogeneity (ITH) within tumor sub-populations is a major contributor to therapy resistance, with genomically distinct clonal populations exhibiting different therapeutic vulnerabilities. Here we employed single-cell transcriptomics in patient-derive...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512908/ https://www.ncbi.nlm.nih.gov/pubmed/31131309 http://dx.doi.org/10.1080/23723556.2019.1590089 |
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author | Sharma, Ankur DasGupta, Ramanuj |
author_facet | Sharma, Ankur DasGupta, Ramanuj |
author_sort | Sharma, Ankur |
collection | PubMed |
description | Accumulating evidence suggests that intra-tumor heterogeneity (ITH) within tumor sub-populations is a major contributor to therapy resistance, with genomically distinct clonal populations exhibiting different therapeutic vulnerabilities. Here we employed single-cell transcriptomics in patient-derived primary cells to understand the impact of phenotypic intra-tumor heterogeneity on drug-induced tumor evolution in oral squamous cell carcinoma. |
format | Online Article Text |
id | pubmed-6512908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-65129082020-04-02 Tracking tumor evolution one-cell-at-a-time Sharma, Ankur DasGupta, Ramanuj Mol Cell Oncol Author's Views Accumulating evidence suggests that intra-tumor heterogeneity (ITH) within tumor sub-populations is a major contributor to therapy resistance, with genomically distinct clonal populations exhibiting different therapeutic vulnerabilities. Here we employed single-cell transcriptomics in patient-derived primary cells to understand the impact of phenotypic intra-tumor heterogeneity on drug-induced tumor evolution in oral squamous cell carcinoma. Taylor & Francis 2019-04-02 /pmc/articles/PMC6512908/ /pubmed/31131309 http://dx.doi.org/10.1080/23723556.2019.1590089 Text en © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Author's Views Sharma, Ankur DasGupta, Ramanuj Tracking tumor evolution one-cell-at-a-time |
title | Tracking tumor evolution one-cell-at-a-time |
title_full | Tracking tumor evolution one-cell-at-a-time |
title_fullStr | Tracking tumor evolution one-cell-at-a-time |
title_full_unstemmed | Tracking tumor evolution one-cell-at-a-time |
title_short | Tracking tumor evolution one-cell-at-a-time |
title_sort | tracking tumor evolution one-cell-at-a-time |
topic | Author's Views |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512908/ https://www.ncbi.nlm.nih.gov/pubmed/31131309 http://dx.doi.org/10.1080/23723556.2019.1590089 |
work_keys_str_mv | AT sharmaankur trackingtumorevolutiononecellatatime AT dasguptaramanuj trackingtumorevolutiononecellatatime |