Cargando…
Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients
INTRODUCTION: Metastasis of breast cancer is the main cause of death in patients. Previous genome-wide studies have identified gene-expression patterns correlated with cancer patient outcome. However, these were derived mostly from whole tissue without respect to cell heterogeneity. In reality, only...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053118/ https://www.ncbi.nlm.nih.gov/pubmed/23113900 http://dx.doi.org/10.1186/bcr3344 |
_version_ | 1782320324708139008 |
---|---|
author | Patsialou, Antonia Wang, Yarong Lin, Juan Whitney, Kathleen Goswami, Sumanta Kenny, Paraic A Condeelis, John S |
author_facet | Patsialou, Antonia Wang, Yarong Lin, Juan Whitney, Kathleen Goswami, Sumanta Kenny, Paraic A Condeelis, John S |
author_sort | Patsialou, Antonia |
collection | PubMed |
description | INTRODUCTION: Metastasis of breast cancer is the main cause of death in patients. Previous genome-wide studies have identified gene-expression patterns correlated with cancer patient outcome. However, these were derived mostly from whole tissue without respect to cell heterogeneity. In reality, only a small subpopulation of invasive cells inside the primary tumor is responsible for escaping and initiating dissemination and metastasis. When whole tissue is used for molecular profiling, the expression pattern of these cells is masked by the majority of the noninvasive tumor cells. Therefore, little information is available about the crucial early steps of the metastatic cascade: migration, invasion, and entry of tumor cells into the systemic circulation. METHODS: In the past, we developed an in vivo invasion assay that can capture specifically the highly motile tumor cells in the act of migrating inside living tumors. Here, we used this assay in orthotopic xenografts of human MDA-MB-231 breast cancer cells to isolate selectively the migratory cell subpopulation of the primary tumor for gene-expression profiling. In this way, we derived a gene signature specific to breast cancer migration and invasion, which we call the Human Invasion Signature (HIS). RESULTS: Unsupervised analysis of the HIS shows that the most significant upregulated gene networks in the migratory breast tumor cells include genes regulating embryonic and tissue development, cellular movement, and DNA replication and repair. We confirmed that genes involved in these functions are upregulated in the migratory tumor cells with independent biological repeats. We also demonstrate that specific genes are functionally required for in vivo invasion and hematogenous dissemination in MDA-MB-231, as well as in patient-derived breast tumors. Finally, we used statistical analysis to show that the signature can significantly predict risk of breast cancer metastasis in large patient cohorts, independent of well-established prognostic parameters. CONCLUSIONS: Our data provide novel insights into, and reveal previously unknown mediators of, the metastatic steps of invasion and dissemination in human breast tumors in vivo. Because migration and invasion are the early steps of metastatic progression, the novel markers that we identified here might become valuable prognostic tools or therapeutic targets in breast cancer. |
format | Online Article Text |
id | pubmed-4053118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40531182014-06-12 Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients Patsialou, Antonia Wang, Yarong Lin, Juan Whitney, Kathleen Goswami, Sumanta Kenny, Paraic A Condeelis, John S Breast Cancer Res Research Article INTRODUCTION: Metastasis of breast cancer is the main cause of death in patients. Previous genome-wide studies have identified gene-expression patterns correlated with cancer patient outcome. However, these were derived mostly from whole tissue without respect to cell heterogeneity. In reality, only a small subpopulation of invasive cells inside the primary tumor is responsible for escaping and initiating dissemination and metastasis. When whole tissue is used for molecular profiling, the expression pattern of these cells is masked by the majority of the noninvasive tumor cells. Therefore, little information is available about the crucial early steps of the metastatic cascade: migration, invasion, and entry of tumor cells into the systemic circulation. METHODS: In the past, we developed an in vivo invasion assay that can capture specifically the highly motile tumor cells in the act of migrating inside living tumors. Here, we used this assay in orthotopic xenografts of human MDA-MB-231 breast cancer cells to isolate selectively the migratory cell subpopulation of the primary tumor for gene-expression profiling. In this way, we derived a gene signature specific to breast cancer migration and invasion, which we call the Human Invasion Signature (HIS). RESULTS: Unsupervised analysis of the HIS shows that the most significant upregulated gene networks in the migratory breast tumor cells include genes regulating embryonic and tissue development, cellular movement, and DNA replication and repair. We confirmed that genes involved in these functions are upregulated in the migratory tumor cells with independent biological repeats. We also demonstrate that specific genes are functionally required for in vivo invasion and hematogenous dissemination in MDA-MB-231, as well as in patient-derived breast tumors. Finally, we used statistical analysis to show that the signature can significantly predict risk of breast cancer metastasis in large patient cohorts, independent of well-established prognostic parameters. CONCLUSIONS: Our data provide novel insights into, and reveal previously unknown mediators of, the metastatic steps of invasion and dissemination in human breast tumors in vivo. Because migration and invasion are the early steps of metastatic progression, the novel markers that we identified here might become valuable prognostic tools or therapeutic targets in breast cancer. BioMed Central 2012 2012-10-31 /pmc/articles/PMC4053118/ /pubmed/23113900 http://dx.doi.org/10.1186/bcr3344 Text en Copyright © 2012 Patsialou et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Patsialou, Antonia Wang, Yarong Lin, Juan Whitney, Kathleen Goswami, Sumanta Kenny, Paraic A Condeelis, John S Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients |
title | Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients |
title_full | Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients |
title_fullStr | Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients |
title_full_unstemmed | Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients |
title_short | Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients |
title_sort | selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053118/ https://www.ncbi.nlm.nih.gov/pubmed/23113900 http://dx.doi.org/10.1186/bcr3344 |
work_keys_str_mv | AT patsialouantonia selectivegeneexpressionprofilingofmigratorytumorcellsinvivopredictsclinicaloutcomeinbreastcancerpatients AT wangyarong selectivegeneexpressionprofilingofmigratorytumorcellsinvivopredictsclinicaloutcomeinbreastcancerpatients AT linjuan selectivegeneexpressionprofilingofmigratorytumorcellsinvivopredictsclinicaloutcomeinbreastcancerpatients AT whitneykathleen selectivegeneexpressionprofilingofmigratorytumorcellsinvivopredictsclinicaloutcomeinbreastcancerpatients AT goswamisumanta selectivegeneexpressionprofilingofmigratorytumorcellsinvivopredictsclinicaloutcomeinbreastcancerpatients AT kennyparaica selectivegeneexpressionprofilingofmigratorytumorcellsinvivopredictsclinicaloutcomeinbreastcancerpatients AT condeelisjohns selectivegeneexpressionprofilingofmigratorytumorcellsinvivopredictsclinicaloutcomeinbreastcancerpatients |