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Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model

BACKGROUND: Disseminated tumor cells (DTCs) found in the bone marrow (BM) of patients with breast cancer portend a poor prognosis and are thought to be intermediaries in the metastatic process. To assess the clinical relevance of a mouse model for identifying possible prognostic and predictive bioma...

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Autores principales: Pillai, Sreeraj G., Li, Shunqiang, Siddappa, Chidananda M., Ellis, Matthew J, Watson, Mark A., Aft, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748947/
https://www.ncbi.nlm.nih.gov/pubmed/29291741
http://dx.doi.org/10.1186/s13058-017-0927-1
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author Pillai, Sreeraj G.
Li, Shunqiang
Siddappa, Chidananda M.
Ellis, Matthew J
Watson, Mark A.
Aft, Rebecca
author_facet Pillai, Sreeraj G.
Li, Shunqiang
Siddappa, Chidananda M.
Ellis, Matthew J
Watson, Mark A.
Aft, Rebecca
author_sort Pillai, Sreeraj G.
collection PubMed
description BACKGROUND: Disseminated tumor cells (DTCs) found in the bone marrow (BM) of patients with breast cancer portend a poor prognosis and are thought to be intermediaries in the metastatic process. To assess the clinical relevance of a mouse model for identifying possible prognostic and predictive biomarkers of these cells, we have employed patient-derived xenografts (PDX) for propagating and molecularly profiling human DTCs. METHODS: Previously developed mouse xenografts from five breast cancer patients were further passaged by implantation into NOD/SCID mouse mammary fat pads. BM was collected from long bones at early, serial passages and analyzed for human-specific gene expression by qRT-PCR as a surrogate biomarker for the detection of DTCs. Microarray-based gene expression analyses were performed to compare expression profiles between primary xenografts, solid metastasis, and populations of BM DTCs. Differential patterns of gene expression were then compared to previously generated microarray data from primary human BM aspirates from patients with breast cancer and healthy volunteers. RESULTS: Human-specific gene expression of SNAI1, GSC, FOXC2, KRT19, and STAM2, presumably originating from DTCs, was detected in the BM of all xenograft mice that also developed metastatic tumors. Human-specific gene expression was undetectable in the BM of those xenograft lines with no evidence of distant metastases and in non-transplanted control mice. Comparative gene expression analysis of BM DTCs versus the primary tumor of one mouse line identified multiple gene transcripts associated with epithelial-mesenchymal transition, aggressive clinical phenotype, and metastatic disease development. Sixteen of the PDX BM associated genes also demonstrated a statistically significant difference in expression in the BM of healthy volunteers versus the BM of breast cancer patients with distant metastatic disease. CONCLUSION: Unique and reproducible patterns of differential gene expression can be identified that presumably originate from BM DTCs in mouse PDX lines. Several of these identified genes are also detected in the BM of patients with breast cancer who develop early metastases, which suggests that they may be clinically relevant biomarkers. The PDX model may also provide a clinically relevant system for analyzing and targeting these intermediaries of metastases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-017-0927-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-57489472018-01-05 Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model Pillai, Sreeraj G. Li, Shunqiang Siddappa, Chidananda M. Ellis, Matthew J Watson, Mark A. Aft, Rebecca Breast Cancer Res Research Article BACKGROUND: Disseminated tumor cells (DTCs) found in the bone marrow (BM) of patients with breast cancer portend a poor prognosis and are thought to be intermediaries in the metastatic process. To assess the clinical relevance of a mouse model for identifying possible prognostic and predictive biomarkers of these cells, we have employed patient-derived xenografts (PDX) for propagating and molecularly profiling human DTCs. METHODS: Previously developed mouse xenografts from five breast cancer patients were further passaged by implantation into NOD/SCID mouse mammary fat pads. BM was collected from long bones at early, serial passages and analyzed for human-specific gene expression by qRT-PCR as a surrogate biomarker for the detection of DTCs. Microarray-based gene expression analyses were performed to compare expression profiles between primary xenografts, solid metastasis, and populations of BM DTCs. Differential patterns of gene expression were then compared to previously generated microarray data from primary human BM aspirates from patients with breast cancer and healthy volunteers. RESULTS: Human-specific gene expression of SNAI1, GSC, FOXC2, KRT19, and STAM2, presumably originating from DTCs, was detected in the BM of all xenograft mice that also developed metastatic tumors. Human-specific gene expression was undetectable in the BM of those xenograft lines with no evidence of distant metastases and in non-transplanted control mice. Comparative gene expression analysis of BM DTCs versus the primary tumor of one mouse line identified multiple gene transcripts associated with epithelial-mesenchymal transition, aggressive clinical phenotype, and metastatic disease development. Sixteen of the PDX BM associated genes also demonstrated a statistically significant difference in expression in the BM of healthy volunteers versus the BM of breast cancer patients with distant metastatic disease. CONCLUSION: Unique and reproducible patterns of differential gene expression can be identified that presumably originate from BM DTCs in mouse PDX lines. Several of these identified genes are also detected in the BM of patients with breast cancer who develop early metastases, which suggests that they may be clinically relevant biomarkers. The PDX model may also provide a clinically relevant system for analyzing and targeting these intermediaries of metastases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-017-0927-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-02 2018 /pmc/articles/PMC5748947/ /pubmed/29291741 http://dx.doi.org/10.1186/s13058-017-0927-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Pillai, Sreeraj G.
Li, Shunqiang
Siddappa, Chidananda M.
Ellis, Matthew J
Watson, Mark A.
Aft, Rebecca
Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model
title Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model
title_full Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model
title_fullStr Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model
title_full_unstemmed Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model
title_short Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model
title_sort identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748947/
https://www.ncbi.nlm.nih.gov/pubmed/29291741
http://dx.doi.org/10.1186/s13058-017-0927-1
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