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Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones

The molecular mechanisms underlying lethal castration-resistant prostate cancer remain poorly understood, with intratumoral heterogeneity a likely contributing factor. To examine the temporal aspects of resistance, we analyze tumor heterogeneity in needle biopsies collected before and after treatmen...

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Autores principales: Marklund, Maja, Schultz, Niklas, Friedrich, Stefanie, Berglund, Emelie, Tarish, Firas, Tanoglidi, Anna, Liu, Yao, Bergenstråhle, Ludvig, Erickson, Andrew, Helleday, Thomas, Lamb, Alastair D., Sonnhammer, Erik, Lundeberg, Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482614/
https://www.ncbi.nlm.nih.gov/pubmed/36115838
http://dx.doi.org/10.1038/s41467-022-33069-3
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author Marklund, Maja
Schultz, Niklas
Friedrich, Stefanie
Berglund, Emelie
Tarish, Firas
Tanoglidi, Anna
Liu, Yao
Bergenstråhle, Ludvig
Erickson, Andrew
Helleday, Thomas
Lamb, Alastair D.
Sonnhammer, Erik
Lundeberg, Joakim
author_facet Marklund, Maja
Schultz, Niklas
Friedrich, Stefanie
Berglund, Emelie
Tarish, Firas
Tanoglidi, Anna
Liu, Yao
Bergenstråhle, Ludvig
Erickson, Andrew
Helleday, Thomas
Lamb, Alastair D.
Sonnhammer, Erik
Lundeberg, Joakim
author_sort Marklund, Maja
collection PubMed
description The molecular mechanisms underlying lethal castration-resistant prostate cancer remain poorly understood, with intratumoral heterogeneity a likely contributing factor. To examine the temporal aspects of resistance, we analyze tumor heterogeneity in needle biopsies collected before and after treatment with androgen deprivation therapy. By doing so, we are able to couple clinical responsiveness and morphological information such as Gleason score to transcriptome-wide data. Our data-driven analysis of transcriptomes identifies several distinct intratumoral cell populations, characterized by their unique gene expression profiles. Certain cell populations present before treatment exhibit gene expression profiles that match those of resistant tumor cell clusters, present after treatment. We confirm that these clusters are resistant by the localization of active androgen receptors to the nuclei in cancer cells post-treatment. Our data also demonstrates that most stromal cells adjacent to resistant clusters do not express the androgen receptor, and we identify differentially expressed genes for these cells. Altogether, this study shows the potential to increase the power in predicting resistant tumors.
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spelling pubmed-94826142022-09-19 Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones Marklund, Maja Schultz, Niklas Friedrich, Stefanie Berglund, Emelie Tarish, Firas Tanoglidi, Anna Liu, Yao Bergenstråhle, Ludvig Erickson, Andrew Helleday, Thomas Lamb, Alastair D. Sonnhammer, Erik Lundeberg, Joakim Nat Commun Article The molecular mechanisms underlying lethal castration-resistant prostate cancer remain poorly understood, with intratumoral heterogeneity a likely contributing factor. To examine the temporal aspects of resistance, we analyze tumor heterogeneity in needle biopsies collected before and after treatment with androgen deprivation therapy. By doing so, we are able to couple clinical responsiveness and morphological information such as Gleason score to transcriptome-wide data. Our data-driven analysis of transcriptomes identifies several distinct intratumoral cell populations, characterized by their unique gene expression profiles. Certain cell populations present before treatment exhibit gene expression profiles that match those of resistant tumor cell clusters, present after treatment. We confirm that these clusters are resistant by the localization of active androgen receptors to the nuclei in cancer cells post-treatment. Our data also demonstrates that most stromal cells adjacent to resistant clusters do not express the androgen receptor, and we identify differentially expressed genes for these cells. Altogether, this study shows the potential to increase the power in predicting resistant tumors. Nature Publishing Group UK 2022-09-17 /pmc/articles/PMC9482614/ /pubmed/36115838 http://dx.doi.org/10.1038/s41467-022-33069-3 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
Marklund, Maja
Schultz, Niklas
Friedrich, Stefanie
Berglund, Emelie
Tarish, Firas
Tanoglidi, Anna
Liu, Yao
Bergenstråhle, Ludvig
Erickson, Andrew
Helleday, Thomas
Lamb, Alastair D.
Sonnhammer, Erik
Lundeberg, Joakim
Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones
title Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones
title_full Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones
title_fullStr Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones
title_full_unstemmed Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones
title_short Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones
title_sort spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482614/
https://www.ncbi.nlm.nih.gov/pubmed/36115838
http://dx.doi.org/10.1038/s41467-022-33069-3
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