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Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns
Cell lines are commonly used as cancer models. The tissue of origin provides context for understanding biological mechanisms and predicting therapy response. We therefore systematically examined whether cancer cell lines exhibit features matching the presumed cancer type of origin. Gene expression a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458440/ https://www.ncbi.nlm.nih.gov/pubmed/32937430 http://dx.doi.org/10.1126/sciadv.aba1862 |
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author | Salvadores, Marina Fuster-Tormo, Francisco Supek, Fran |
author_facet | Salvadores, Marina Fuster-Tormo, Francisco Supek, Fran |
author_sort | Salvadores, Marina |
collection | PubMed |
description | Cell lines are commonly used as cancer models. The tissue of origin provides context for understanding biological mechanisms and predicting therapy response. We therefore systematically examined whether cancer cell lines exhibit features matching the presumed cancer type of origin. Gene expression and DNA methylation classifiers trained on ~9000 tumors identified 35 (of 614 examined) cell lines that better matched a different tissue or cell type than the one originally assigned. Mutational patterns further supported most reassignments. For instance, cell lines identified as originating from the skin often exhibited a UV mutational signature. We cataloged 366 “golden set” cell lines in which transcriptomic and epigenomic profiles strongly resemble the cancer type of origin, further proposing their assignments to subtypes. Accounting for the uncertain tissue of origin in cell line panels can change the interpretation of drug screening and genetic screening data, revealing previously unknown genomic determinants of sensitivity or resistance. |
format | Online Article Text |
id | pubmed-7458440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74584402020-09-16 Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns Salvadores, Marina Fuster-Tormo, Francisco Supek, Fran Sci Adv Research Articles Cell lines are commonly used as cancer models. The tissue of origin provides context for understanding biological mechanisms and predicting therapy response. We therefore systematically examined whether cancer cell lines exhibit features matching the presumed cancer type of origin. Gene expression and DNA methylation classifiers trained on ~9000 tumors identified 35 (of 614 examined) cell lines that better matched a different tissue or cell type than the one originally assigned. Mutational patterns further supported most reassignments. For instance, cell lines identified as originating from the skin often exhibited a UV mutational signature. We cataloged 366 “golden set” cell lines in which transcriptomic and epigenomic profiles strongly resemble the cancer type of origin, further proposing their assignments to subtypes. Accounting for the uncertain tissue of origin in cell line panels can change the interpretation of drug screening and genetic screening data, revealing previously unknown genomic determinants of sensitivity or resistance. American Association for the Advancement of Science 2020-07-01 /pmc/articles/PMC7458440/ /pubmed/32937430 http://dx.doi.org/10.1126/sciadv.aba1862 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Salvadores, Marina Fuster-Tormo, Francisco Supek, Fran Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns |
title | Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns |
title_full | Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns |
title_fullStr | Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns |
title_full_unstemmed | Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns |
title_short | Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns |
title_sort | matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458440/ https://www.ncbi.nlm.nih.gov/pubmed/32937430 http://dx.doi.org/10.1126/sciadv.aba1862 |
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