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Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes
Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide. Only a fraction of NSCLC harbor actionable driver mutations and there is an urgent need for patient-derived model systems that will enable the development of new targeted therapies. NSCLC and other cancers display pr...
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/PMC8983714/ https://www.ncbi.nlm.nih.gov/pubmed/35383171 http://dx.doi.org/10.1038/s41467-022-29444-9 |
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author | Mirhadi, Shideh Tam, Shirley Li, Quan Moghal, Nadeem Pham, Nhu-An Tong, Jiefei Golbourn, Brian J. Krieger, Jonathan R. Taylor, Paul Li, Ming Weiss, Jessica Martins-Filho, Sebastiao N. Raghavan, Vibha Mamatjan, Yasin Khan, Aafaque A. Cabanero, Michael Sakashita, Shingo Huo, Kugeng Agnihotri, Sameer Ishizawa, Kota Waddell, Thomas K. Zadeh, Gelareh Yasufuku, Kazuhiro Liu, Geoffrey Shepherd, Frances A. Moran, Michael F. Tsao, Ming-Sound |
author_facet | Mirhadi, Shideh Tam, Shirley Li, Quan Moghal, Nadeem Pham, Nhu-An Tong, Jiefei Golbourn, Brian J. Krieger, Jonathan R. Taylor, Paul Li, Ming Weiss, Jessica Martins-Filho, Sebastiao N. Raghavan, Vibha Mamatjan, Yasin Khan, Aafaque A. Cabanero, Michael Sakashita, Shingo Huo, Kugeng Agnihotri, Sameer Ishizawa, Kota Waddell, Thomas K. Zadeh, Gelareh Yasufuku, Kazuhiro Liu, Geoffrey Shepherd, Frances A. Moran, Michael F. Tsao, Ming-Sound |
author_sort | Mirhadi, Shideh |
collection | PubMed |
description | Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide. Only a fraction of NSCLC harbor actionable driver mutations and there is an urgent need for patient-derived model systems that will enable the development of new targeted therapies. NSCLC and other cancers display profound proteome remodeling compared to normal tissue that is not predicted by DNA or RNA analyses. Here, we generate 137 NSCLC patient-derived xenografts (PDXs) that recapitulate the histology and molecular features of primary NSCLC. Proteome analysis of the PDX models reveals 3 adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, signatures of activated pathways and candidate targets, and in adenocarcinoma, stromal immune features. These findings portend proteome-based NSCLC classification and treatment and support the PDX resource as a viable model for the development of new targeted therapies. |
format | Online Article Text |
id | pubmed-8983714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89837142022-04-22 Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes Mirhadi, Shideh Tam, Shirley Li, Quan Moghal, Nadeem Pham, Nhu-An Tong, Jiefei Golbourn, Brian J. Krieger, Jonathan R. Taylor, Paul Li, Ming Weiss, Jessica Martins-Filho, Sebastiao N. Raghavan, Vibha Mamatjan, Yasin Khan, Aafaque A. Cabanero, Michael Sakashita, Shingo Huo, Kugeng Agnihotri, Sameer Ishizawa, Kota Waddell, Thomas K. Zadeh, Gelareh Yasufuku, Kazuhiro Liu, Geoffrey Shepherd, Frances A. Moran, Michael F. Tsao, Ming-Sound Nat Commun Article Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide. Only a fraction of NSCLC harbor actionable driver mutations and there is an urgent need for patient-derived model systems that will enable the development of new targeted therapies. NSCLC and other cancers display profound proteome remodeling compared to normal tissue that is not predicted by DNA or RNA analyses. Here, we generate 137 NSCLC patient-derived xenografts (PDXs) that recapitulate the histology and molecular features of primary NSCLC. Proteome analysis of the PDX models reveals 3 adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, signatures of activated pathways and candidate targets, and in adenocarcinoma, stromal immune features. These findings portend proteome-based NSCLC classification and treatment and support the PDX resource as a viable model for the development of new targeted therapies. Nature Publishing Group UK 2022-04-05 /pmc/articles/PMC8983714/ /pubmed/35383171 http://dx.doi.org/10.1038/s41467-022-29444-9 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 Mirhadi, Shideh Tam, Shirley Li, Quan Moghal, Nadeem Pham, Nhu-An Tong, Jiefei Golbourn, Brian J. Krieger, Jonathan R. Taylor, Paul Li, Ming Weiss, Jessica Martins-Filho, Sebastiao N. Raghavan, Vibha Mamatjan, Yasin Khan, Aafaque A. Cabanero, Michael Sakashita, Shingo Huo, Kugeng Agnihotri, Sameer Ishizawa, Kota Waddell, Thomas K. Zadeh, Gelareh Yasufuku, Kazuhiro Liu, Geoffrey Shepherd, Frances A. Moran, Michael F. Tsao, Ming-Sound Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes |
title | Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes |
title_full | Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes |
title_fullStr | Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes |
title_full_unstemmed | Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes |
title_short | Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes |
title_sort | integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983714/ https://www.ncbi.nlm.nih.gov/pubmed/35383171 http://dx.doi.org/10.1038/s41467-022-29444-9 |
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