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Multi-modal molecular programs regulate melanoma cell state
Melanoma cells display distinct intrinsic phenotypic states. Here, we seek to characterize the molecular regulation of these states using multi-omic analyses of whole exome, transcriptome, microRNA, long non-coding RNA and DNA methylation data together with reverse-phase protein array data on a pane...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271073/ https://www.ncbi.nlm.nih.gov/pubmed/35810190 http://dx.doi.org/10.1038/s41467-022-31510-1 |
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author | Andrews, Miles C. Oba, Junna Wu, Chang-Jiun Zhu, Haifeng Karpinets, Tatiana Creasy, Caitlin A. Forget, Marie-Andrée Yu, Xiaoxing Song, Xingzhi Mao, Xizeng Robertson, A. Gordon Romano, Gabriele Li, Peng Burton, Elizabeth M. Lu, Yiling Sloane, Robert Szczepaniak Wani, Khalida M. Rai, Kunal Lazar, Alexander J. Haydu, Lauren E. Bustos, Matias A. Shen, Jianjun Chen, Yueping Morgan, Margaret B. Wargo, Jennifer A. Kwong, Lawrence N. Haymaker, Cara L. Grimm, Elizabeth A. Hwu, Patrick Hoon, Dave S. B. Zhang, Jianhua Gershenwald, Jeffrey E. Davies, Michael A. Futreal, P. Andrew Bernatchez, Chantale Woodman, Scott E. |
author_facet | Andrews, Miles C. Oba, Junna Wu, Chang-Jiun Zhu, Haifeng Karpinets, Tatiana Creasy, Caitlin A. Forget, Marie-Andrée Yu, Xiaoxing Song, Xingzhi Mao, Xizeng Robertson, A. Gordon Romano, Gabriele Li, Peng Burton, Elizabeth M. Lu, Yiling Sloane, Robert Szczepaniak Wani, Khalida M. Rai, Kunal Lazar, Alexander J. Haydu, Lauren E. Bustos, Matias A. Shen, Jianjun Chen, Yueping Morgan, Margaret B. Wargo, Jennifer A. Kwong, Lawrence N. Haymaker, Cara L. Grimm, Elizabeth A. Hwu, Patrick Hoon, Dave S. B. Zhang, Jianhua Gershenwald, Jeffrey E. Davies, Michael A. Futreal, P. Andrew Bernatchez, Chantale Woodman, Scott E. |
author_sort | Andrews, Miles C. |
collection | PubMed |
description | Melanoma cells display distinct intrinsic phenotypic states. Here, we seek to characterize the molecular regulation of these states using multi-omic analyses of whole exome, transcriptome, microRNA, long non-coding RNA and DNA methylation data together with reverse-phase protein array data on a panel of 68 highly annotated early passage melanoma cell lines. We demonstrate that clearly defined cancer cell intrinsic transcriptomic programs are maintained in melanoma cells ex vivo and remain highly conserved within melanoma tumors, are associated with distinct immune features within tumors, and differentially correlate with checkpoint inhibitor and adoptive T cell therapy efficacy. Through integrative analyses we demonstrate highly complex multi-omic regulation of melanoma cell intrinsic programs that provide key insights into the molecular maintenance of phenotypic states. These findings have implications for cancer biology and the identification of new therapeutic strategies. Further, these deeply characterized cell lines will serve as an invaluable resource for future research in the field. |
format | Online Article Text |
id | pubmed-9271073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92710732022-07-11 Multi-modal molecular programs regulate melanoma cell state Andrews, Miles C. Oba, Junna Wu, Chang-Jiun Zhu, Haifeng Karpinets, Tatiana Creasy, Caitlin A. Forget, Marie-Andrée Yu, Xiaoxing Song, Xingzhi Mao, Xizeng Robertson, A. Gordon Romano, Gabriele Li, Peng Burton, Elizabeth M. Lu, Yiling Sloane, Robert Szczepaniak Wani, Khalida M. Rai, Kunal Lazar, Alexander J. Haydu, Lauren E. Bustos, Matias A. Shen, Jianjun Chen, Yueping Morgan, Margaret B. Wargo, Jennifer A. Kwong, Lawrence N. Haymaker, Cara L. Grimm, Elizabeth A. Hwu, Patrick Hoon, Dave S. B. Zhang, Jianhua Gershenwald, Jeffrey E. Davies, Michael A. Futreal, P. Andrew Bernatchez, Chantale Woodman, Scott E. Nat Commun Article Melanoma cells display distinct intrinsic phenotypic states. Here, we seek to characterize the molecular regulation of these states using multi-omic analyses of whole exome, transcriptome, microRNA, long non-coding RNA and DNA methylation data together with reverse-phase protein array data on a panel of 68 highly annotated early passage melanoma cell lines. We demonstrate that clearly defined cancer cell intrinsic transcriptomic programs are maintained in melanoma cells ex vivo and remain highly conserved within melanoma tumors, are associated with distinct immune features within tumors, and differentially correlate with checkpoint inhibitor and adoptive T cell therapy efficacy. Through integrative analyses we demonstrate highly complex multi-omic regulation of melanoma cell intrinsic programs that provide key insights into the molecular maintenance of phenotypic states. These findings have implications for cancer biology and the identification of new therapeutic strategies. Further, these deeply characterized cell lines will serve as an invaluable resource for future research in the field. Nature Publishing Group UK 2022-07-09 /pmc/articles/PMC9271073/ /pubmed/35810190 http://dx.doi.org/10.1038/s41467-022-31510-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Andrews, Miles C. Oba, Junna Wu, Chang-Jiun Zhu, Haifeng Karpinets, Tatiana Creasy, Caitlin A. Forget, Marie-Andrée Yu, Xiaoxing Song, Xingzhi Mao, Xizeng Robertson, A. Gordon Romano, Gabriele Li, Peng Burton, Elizabeth M. Lu, Yiling Sloane, Robert Szczepaniak Wani, Khalida M. Rai, Kunal Lazar, Alexander J. Haydu, Lauren E. Bustos, Matias A. Shen, Jianjun Chen, Yueping Morgan, Margaret B. Wargo, Jennifer A. Kwong, Lawrence N. Haymaker, Cara L. Grimm, Elizabeth A. Hwu, Patrick Hoon, Dave S. B. Zhang, Jianhua Gershenwald, Jeffrey E. Davies, Michael A. Futreal, P. Andrew Bernatchez, Chantale Woodman, Scott E. Multi-modal molecular programs regulate melanoma cell state |
title | Multi-modal molecular programs regulate melanoma cell state |
title_full | Multi-modal molecular programs regulate melanoma cell state |
title_fullStr | Multi-modal molecular programs regulate melanoma cell state |
title_full_unstemmed | Multi-modal molecular programs regulate melanoma cell state |
title_short | Multi-modal molecular programs regulate melanoma cell state |
title_sort | multi-modal molecular programs regulate melanoma cell state |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271073/ https://www.ncbi.nlm.nih.gov/pubmed/35810190 http://dx.doi.org/10.1038/s41467-022-31510-1 |
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