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Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling

Metastatic prostate cancer (mPC) comprises a spectrum of diverse phenotypes. However, the extent of inter- and intra-tumor heterogeneity is not established. Here we use digital spatial profiling (DSP) technology to quantitate transcript and protein abundance in spatially-distinct regions of mPCs. By...

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Autores principales: Brady, Lauren, Kriner, Michelle, Coleman, Ilsa, Morrissey, Colm, Roudier, Martine, True, Lawrence D., Gulati, Roman, Plymate, Stephen R., Zhou, Zoey, Birditt, Brian, Meredith, Rhonda, Geiss, Gary, Hoang, Margaret, Beechem, Joseph, Nelson, Peter S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930198/
https://www.ncbi.nlm.nih.gov/pubmed/33658518
http://dx.doi.org/10.1038/s41467-021-21615-4
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author Brady, Lauren
Kriner, Michelle
Coleman, Ilsa
Morrissey, Colm
Roudier, Martine
True, Lawrence D.
Gulati, Roman
Plymate, Stephen R.
Zhou, Zoey
Birditt, Brian
Meredith, Rhonda
Geiss, Gary
Hoang, Margaret
Beechem, Joseph
Nelson, Peter S.
author_facet Brady, Lauren
Kriner, Michelle
Coleman, Ilsa
Morrissey, Colm
Roudier, Martine
True, Lawrence D.
Gulati, Roman
Plymate, Stephen R.
Zhou, Zoey
Birditt, Brian
Meredith, Rhonda
Geiss, Gary
Hoang, Margaret
Beechem, Joseph
Nelson, Peter S.
author_sort Brady, Lauren
collection PubMed
description Metastatic prostate cancer (mPC) comprises a spectrum of diverse phenotypes. However, the extent of inter- and intra-tumor heterogeneity is not established. Here we use digital spatial profiling (DSP) technology to quantitate transcript and protein abundance in spatially-distinct regions of mPCs. By assessing multiple discrete areas across multiple metastases, we find a high level of intra-patient homogeneity with respect to tumor phenotype. However, there are notable exceptions including tumors comprised of regions with high and low androgen receptor (AR) and neuroendocrine activity. While the vast majority of metastases examined are devoid of significant inflammatory infiltrates and lack PD1, PD-L1 and CTLA4, the B7-H3/CD276 immune checkpoint protein is highly expressed, particularly in mPCs with high AR activity. Our results demonstrate the utility of DSP for accurately classifying tumor phenotype, assessing tumor heterogeneity, and identifying aspects of tumor biology involving the immunological composition of metastases.
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spelling pubmed-79301982021-03-21 Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling Brady, Lauren Kriner, Michelle Coleman, Ilsa Morrissey, Colm Roudier, Martine True, Lawrence D. Gulati, Roman Plymate, Stephen R. Zhou, Zoey Birditt, Brian Meredith, Rhonda Geiss, Gary Hoang, Margaret Beechem, Joseph Nelson, Peter S. Nat Commun Article Metastatic prostate cancer (mPC) comprises a spectrum of diverse phenotypes. However, the extent of inter- and intra-tumor heterogeneity is not established. Here we use digital spatial profiling (DSP) technology to quantitate transcript and protein abundance in spatially-distinct regions of mPCs. By assessing multiple discrete areas across multiple metastases, we find a high level of intra-patient homogeneity with respect to tumor phenotype. However, there are notable exceptions including tumors comprised of regions with high and low androgen receptor (AR) and neuroendocrine activity. While the vast majority of metastases examined are devoid of significant inflammatory infiltrates and lack PD1, PD-L1 and CTLA4, the B7-H3/CD276 immune checkpoint protein is highly expressed, particularly in mPCs with high AR activity. Our results demonstrate the utility of DSP for accurately classifying tumor phenotype, assessing tumor heterogeneity, and identifying aspects of tumor biology involving the immunological composition of metastases. Nature Publishing Group UK 2021-03-03 /pmc/articles/PMC7930198/ /pubmed/33658518 http://dx.doi.org/10.1038/s41467-021-21615-4 Text en © The Author(s) 2021 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/.
spellingShingle Article
Brady, Lauren
Kriner, Michelle
Coleman, Ilsa
Morrissey, Colm
Roudier, Martine
True, Lawrence D.
Gulati, Roman
Plymate, Stephen R.
Zhou, Zoey
Birditt, Brian
Meredith, Rhonda
Geiss, Gary
Hoang, Margaret
Beechem, Joseph
Nelson, Peter S.
Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling
title Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling
title_full Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling
title_fullStr Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling
title_full_unstemmed Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling
title_short Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling
title_sort inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930198/
https://www.ncbi.nlm.nih.gov/pubmed/33658518
http://dx.doi.org/10.1038/s41467-021-21615-4
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