Cargando…
AR Is Not an Independent Marker for TNBC: The Lesson We Learn From Two PDX Models
Extensive efforts, through cell line-based models, have been made to characterize the androgen receptor (AR) signaling pathway in triple-negative breast cancer (TNBC). However, these efforts have not yet reached a consensus with regards to the mechanism of AR in TNBC. On the other hand, patient-deri...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8090347/ http://dx.doi.org/10.1210/jendso/bvab048.1636 |
_version_ | 1783687261552902144 |
---|---|
author | Wang, Xiaoqiang Petrossian, Karineh Huang, Miao-Juei Saeki, Kohei Kanaya, Noriko Chang, Gregory George, Somlo Chen, Shiuan |
author_facet | Wang, Xiaoqiang Petrossian, Karineh Huang, Miao-Juei Saeki, Kohei Kanaya, Noriko Chang, Gregory George, Somlo Chen, Shiuan |
author_sort | Wang, Xiaoqiang |
collection | PubMed |
description | Extensive efforts, through cell line-based models, have been made to characterize the androgen receptor (AR) signaling pathway in triple-negative breast cancer (TNBC). However, these efforts have not yet reached a consensus with regards to the mechanism of AR in TNBC. On the other hand, patient-derived xenografts (PDXs) are generally considered more appropriate than cell line-based models for recapitulating the structural and molecular features of a patient’s tumor, but only a few have been reported to be AR-positive TNBC. In our study, we identified and molecularly characterized two new, AR-positive TNBC PDX models and assessed the impacts of AR agonist (DHT) and antagonist (enzalutamide) on tumor growth and gene expression profiles by utilizing immunohistochemistry (IHC), western blots, and RNA-Seq and TNBC subtyping analyses. Two PDX models, termed TN1 and TN2, were derived from two grade 3 TNBC tumors, each containing 1~5% of AR positive tumor cells. DHT activated AR in both PDX tumors by increasing AR nuclear localization and protein levels. However, the endpoint tumor volume of DHT-treated TN1 was 3-folds smaller than that of non-treated TN1 tumors. Conversely, the endpoint tumor volume of DHT-treated TN2 was 2-folds larger than that of non-treated TN2. Moreover, enzalutamide failed to antagonize DHT-induced tumor growth in TN2. The RNA-Seq analyses revealed that DHT suppressed gene expression in TN1 (961 down-regulated genes versus 149 up-regulated genes), while the DHT promoted gene expression in TN2 (673 up-regulated genes versus192 down-regulated genes). TNBC subtyping analyses based on RNA-Seq data predicted distinct molecular subtypes of TN1 and TN2: TN1 correlated to a basal-like 1 (BL1) subtype, and TN2 correlated to a basal-like 2 (BL2) subtype. These analyses suggest that TN1 and TN2, which both express functional AR, are two molecularly distinct PDX models that expand our current knowledge of AR-positive TNBC. Our results do not support that AR is a suitable therapeutic target in TNBC. To our best knowledge, the molecular mechanisms of AR in TNBC are equivocal and should be evaluated using clinically relevant models, considering both the heterogeneous expression of AR in TNBC and the general complexities of AR signaling. |
format | Online Article Text |
id | pubmed-8090347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80903472021-05-06 AR Is Not an Independent Marker for TNBC: The Lesson We Learn From Two PDX Models Wang, Xiaoqiang Petrossian, Karineh Huang, Miao-Juei Saeki, Kohei Kanaya, Noriko Chang, Gregory George, Somlo Chen, Shiuan J Endocr Soc Steroid Hormones and Receptors Extensive efforts, through cell line-based models, have been made to characterize the androgen receptor (AR) signaling pathway in triple-negative breast cancer (TNBC). However, these efforts have not yet reached a consensus with regards to the mechanism of AR in TNBC. On the other hand, patient-derived xenografts (PDXs) are generally considered more appropriate than cell line-based models for recapitulating the structural and molecular features of a patient’s tumor, but only a few have been reported to be AR-positive TNBC. In our study, we identified and molecularly characterized two new, AR-positive TNBC PDX models and assessed the impacts of AR agonist (DHT) and antagonist (enzalutamide) on tumor growth and gene expression profiles by utilizing immunohistochemistry (IHC), western blots, and RNA-Seq and TNBC subtyping analyses. Two PDX models, termed TN1 and TN2, were derived from two grade 3 TNBC tumors, each containing 1~5% of AR positive tumor cells. DHT activated AR in both PDX tumors by increasing AR nuclear localization and protein levels. However, the endpoint tumor volume of DHT-treated TN1 was 3-folds smaller than that of non-treated TN1 tumors. Conversely, the endpoint tumor volume of DHT-treated TN2 was 2-folds larger than that of non-treated TN2. Moreover, enzalutamide failed to antagonize DHT-induced tumor growth in TN2. The RNA-Seq analyses revealed that DHT suppressed gene expression in TN1 (961 down-regulated genes versus 149 up-regulated genes), while the DHT promoted gene expression in TN2 (673 up-regulated genes versus192 down-regulated genes). TNBC subtyping analyses based on RNA-Seq data predicted distinct molecular subtypes of TN1 and TN2: TN1 correlated to a basal-like 1 (BL1) subtype, and TN2 correlated to a basal-like 2 (BL2) subtype. These analyses suggest that TN1 and TN2, which both express functional AR, are two molecularly distinct PDX models that expand our current knowledge of AR-positive TNBC. Our results do not support that AR is a suitable therapeutic target in TNBC. To our best knowledge, the molecular mechanisms of AR in TNBC are equivocal and should be evaluated using clinically relevant models, considering both the heterogeneous expression of AR in TNBC and the general complexities of AR signaling. Oxford University Press 2021-05-03 /pmc/articles/PMC8090347/ http://dx.doi.org/10.1210/jendso/bvab048.1636 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Steroid Hormones and Receptors Wang, Xiaoqiang Petrossian, Karineh Huang, Miao-Juei Saeki, Kohei Kanaya, Noriko Chang, Gregory George, Somlo Chen, Shiuan AR Is Not an Independent Marker for TNBC: The Lesson We Learn From Two PDX Models |
title | AR Is Not an Independent Marker for TNBC: The Lesson We Learn From Two PDX Models |
title_full | AR Is Not an Independent Marker for TNBC: The Lesson We Learn From Two PDX Models |
title_fullStr | AR Is Not an Independent Marker for TNBC: The Lesson We Learn From Two PDX Models |
title_full_unstemmed | AR Is Not an Independent Marker for TNBC: The Lesson We Learn From Two PDX Models |
title_short | AR Is Not an Independent Marker for TNBC: The Lesson We Learn From Two PDX Models |
title_sort | ar is not an independent marker for tnbc: the lesson we learn from two pdx models |
topic | Steroid Hormones and Receptors |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8090347/ http://dx.doi.org/10.1210/jendso/bvab048.1636 |
work_keys_str_mv | AT wangxiaoqiang arisnotanindependentmarkerfortnbcthelessonwelearnfromtwopdxmodels AT petrossiankarineh arisnotanindependentmarkerfortnbcthelessonwelearnfromtwopdxmodels AT huangmiaojuei arisnotanindependentmarkerfortnbcthelessonwelearnfromtwopdxmodels AT saekikohei arisnotanindependentmarkerfortnbcthelessonwelearnfromtwopdxmodels AT kanayanoriko arisnotanindependentmarkerfortnbcthelessonwelearnfromtwopdxmodels AT changgregory arisnotanindependentmarkerfortnbcthelessonwelearnfromtwopdxmodels AT georgesomlo arisnotanindependentmarkerfortnbcthelessonwelearnfromtwopdxmodels AT chenshiuan arisnotanindependentmarkerfortnbcthelessonwelearnfromtwopdxmodels |