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Heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models

Molecular subtypes of small cell lung cancer (SCLC) defined by the expression of key transcription regulators have recently been proposed in cell lines and limited number of primary tumors. The clinical and biological implications of neuroendocrine (NE) subtypes in metastatic SCLC, and the extent to...

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Autores principales: Lissa, Delphine, Takahashi, Nobuyuki, Desai, Parth, Manukyan, Irena, Schultz, Christopher W., Rajapakse, Vinodh, Velez, Moises J., Mulford, Deborah, Roper, Nitin, Nichols, Samantha, Vilimas, Rasa, Sciuto, Linda, Chen, Yuanbin, Guha, Udayan, Rajan, Arun, Atkinson, Devon, El Meskini, Rajaa, Weaver Ohler, Zoe, Thomas, Anish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018864/
https://www.ncbi.nlm.nih.gov/pubmed/35440132
http://dx.doi.org/10.1038/s41467-022-29517-9
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author Lissa, Delphine
Takahashi, Nobuyuki
Desai, Parth
Manukyan, Irena
Schultz, Christopher W.
Rajapakse, Vinodh
Velez, Moises J.
Mulford, Deborah
Roper, Nitin
Nichols, Samantha
Vilimas, Rasa
Sciuto, Linda
Chen, Yuanbin
Guha, Udayan
Rajan, Arun
Atkinson, Devon
El Meskini, Rajaa
Weaver Ohler, Zoe
Thomas, Anish
author_facet Lissa, Delphine
Takahashi, Nobuyuki
Desai, Parth
Manukyan, Irena
Schultz, Christopher W.
Rajapakse, Vinodh
Velez, Moises J.
Mulford, Deborah
Roper, Nitin
Nichols, Samantha
Vilimas, Rasa
Sciuto, Linda
Chen, Yuanbin
Guha, Udayan
Rajan, Arun
Atkinson, Devon
El Meskini, Rajaa
Weaver Ohler, Zoe
Thomas, Anish
author_sort Lissa, Delphine
collection PubMed
description Molecular subtypes of small cell lung cancer (SCLC) defined by the expression of key transcription regulators have recently been proposed in cell lines and limited number of primary tumors. The clinical and biological implications of neuroendocrine (NE) subtypes in metastatic SCLC, and the extent to which they vary within and between patient tumors and in patient-derived models is not known. We integrate histology, transcriptome, exome, and treatment outcomes of SCLC from a range of metastatic sites, revealing complex intra- and intertumoral heterogeneity of NE differentiation. Transcriptomic analysis confirms previously described subtypes based on ASCL1, NEUROD1, POU2F3, YAP1, and ATOH1 expression, and reveal a clinical subtype with hybrid NE and non-NE phenotypes, marked by chemotherapy-resistance and exceedingly poor outcomes. NE tumors are more likely to have RB1, NOTCH, and chromatin modifier gene mutations, upregulation of DNA damage response genes, and are more likely to respond to replication stress targeted therapies. In contrast, patients preferentially benefited from immunotherapy if their tumors were non-NE. Transcriptional phenotypes strongly skew towards the NE state in patient-derived model systems, an observation that was confirmed in paired patient-matched tumors and xenografts. We provide a framework that unifies transcriptomic and genomic dimensions of metastatic SCLC. The marked differences in transcriptional diversity between patient tumors and model systems are likely to have implications in development of novel therapeutic agents.
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spelling pubmed-90188642022-04-28 Heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models Lissa, Delphine Takahashi, Nobuyuki Desai, Parth Manukyan, Irena Schultz, Christopher W. Rajapakse, Vinodh Velez, Moises J. Mulford, Deborah Roper, Nitin Nichols, Samantha Vilimas, Rasa Sciuto, Linda Chen, Yuanbin Guha, Udayan Rajan, Arun Atkinson, Devon El Meskini, Rajaa Weaver Ohler, Zoe Thomas, Anish Nat Commun Article Molecular subtypes of small cell lung cancer (SCLC) defined by the expression of key transcription regulators have recently been proposed in cell lines and limited number of primary tumors. The clinical and biological implications of neuroendocrine (NE) subtypes in metastatic SCLC, and the extent to which they vary within and between patient tumors and in patient-derived models is not known. We integrate histology, transcriptome, exome, and treatment outcomes of SCLC from a range of metastatic sites, revealing complex intra- and intertumoral heterogeneity of NE differentiation. Transcriptomic analysis confirms previously described subtypes based on ASCL1, NEUROD1, POU2F3, YAP1, and ATOH1 expression, and reveal a clinical subtype with hybrid NE and non-NE phenotypes, marked by chemotherapy-resistance and exceedingly poor outcomes. NE tumors are more likely to have RB1, NOTCH, and chromatin modifier gene mutations, upregulation of DNA damage response genes, and are more likely to respond to replication stress targeted therapies. In contrast, patients preferentially benefited from immunotherapy if their tumors were non-NE. Transcriptional phenotypes strongly skew towards the NE state in patient-derived model systems, an observation that was confirmed in paired patient-matched tumors and xenografts. We provide a framework that unifies transcriptomic and genomic dimensions of metastatic SCLC. The marked differences in transcriptional diversity between patient tumors and model systems are likely to have implications in development of novel therapeutic agents. Nature Publishing Group UK 2022-04-19 /pmc/articles/PMC9018864/ /pubmed/35440132 http://dx.doi.org/10.1038/s41467-022-29517-9 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 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
Lissa, Delphine
Takahashi, Nobuyuki
Desai, Parth
Manukyan, Irena
Schultz, Christopher W.
Rajapakse, Vinodh
Velez, Moises J.
Mulford, Deborah
Roper, Nitin
Nichols, Samantha
Vilimas, Rasa
Sciuto, Linda
Chen, Yuanbin
Guha, Udayan
Rajan, Arun
Atkinson, Devon
El Meskini, Rajaa
Weaver Ohler, Zoe
Thomas, Anish
Heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models
title Heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models
title_full Heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models
title_fullStr Heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models
title_full_unstemmed Heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models
title_short Heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models
title_sort heterogeneity of neuroendocrine transcriptional states in metastatic small cell lung cancers and patient-derived models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018864/
https://www.ncbi.nlm.nih.gov/pubmed/35440132
http://dx.doi.org/10.1038/s41467-022-29517-9
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