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The identification of a TNBC liver metastasis gene signature by sequential CTC‐xenograft modeling

Triple‐negative breast cancer (TNBC) liver metastasis is associated with poor prognosis and low patient survival. It occurs when tumor cells disseminate from primary tumors, circulate in blood/lymph [circulating tumor cells (CTCs)], and acquire distinct characteristics during disease progression tow...

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Autores principales: Vishnoi, Monika, Liu, Nikki Haowen, Yin, Wei, Boral, Debasish, Scamardo, Antonio, Hong, David, Marchetti, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717757/
https://www.ncbi.nlm.nih.gov/pubmed/31216110
http://dx.doi.org/10.1002/1878-0261.12533
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author Vishnoi, Monika
Liu, Nikki Haowen
Yin, Wei
Boral, Debasish
Scamardo, Antonio
Hong, David
Marchetti, Dario
author_facet Vishnoi, Monika
Liu, Nikki Haowen
Yin, Wei
Boral, Debasish
Scamardo, Antonio
Hong, David
Marchetti, Dario
author_sort Vishnoi, Monika
collection PubMed
description Triple‐negative breast cancer (TNBC) liver metastasis is associated with poor prognosis and low patient survival. It occurs when tumor cells disseminate from primary tumors, circulate in blood/lymph [circulating tumor cells (CTCs)], and acquire distinct characteristics during disease progression toward the metastatic phenotype. The purpose of this study was to decipher the genomic/transcriptomic properties of TNBC liver metastasis and its recurrence for potential therapeutic targeting. We employed a negative depletion strategy to isolate and interrogate CTCs from the blood of patients with TNBC, and to establish sequential generations of CTC‐derived xenografts (CDXs) through injection of patient CTCs in immunodeficient mice. The isolation and validation of CDX‐derived cell populations [analyses of CTCs were paired with bone marrow‐resident cells (BMRTCs) and liver tissue cells obtained from the same animal] were performed by multiparametric flow cytometry, immune phenotyping, and genomic sequencing of putative CTCs. Comprehensive characterization of gene expression arrays from sequentially generated CDX‐derived cell populations, online gene expression arrays, and TCGA databases were employed to discover a CTC‐driven, liver metastasis‐associated TNBC signature. We discovered a distinct transcriptomic signature of TNBC patient‐isolated CTCs from primary TNBCs, which was consistent throughout sequential CDX modeling. We established a novel TNBC liver metastasis‐specific CDX model that selectively recapitulates CTC biology for four sequential generations of mice. The evaluation of online databases and CDX‐derived populations revealed 597 genes specific to the TNBC liver metastasis signatures. Further investigation of the TNBC liver metastasis signature predicted 16 hub genes, 6 biomarkers with clinically available drugs, and 22 survival genes. The sequential interrogation of CDX‐CTCs is an innovative liquid biopsy‐based approach for the discovery of organ metastasis‐specific signatures of CTCs. This represents the first step for mechanistic and analytical validation in their application as prognostic indicators and therapeutic targets. Targeting CTC drug candidate biomarkers along with combination therapy can improve the clinical outcome of TNBC patients in general and recurrence of liver metastasis in particular.
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spelling pubmed-67177572019-09-06 The identification of a TNBC liver metastasis gene signature by sequential CTC‐xenograft modeling Vishnoi, Monika Liu, Nikki Haowen Yin, Wei Boral, Debasish Scamardo, Antonio Hong, David Marchetti, Dario Mol Oncol Research Articles Triple‐negative breast cancer (TNBC) liver metastasis is associated with poor prognosis and low patient survival. It occurs when tumor cells disseminate from primary tumors, circulate in blood/lymph [circulating tumor cells (CTCs)], and acquire distinct characteristics during disease progression toward the metastatic phenotype. The purpose of this study was to decipher the genomic/transcriptomic properties of TNBC liver metastasis and its recurrence for potential therapeutic targeting. We employed a negative depletion strategy to isolate and interrogate CTCs from the blood of patients with TNBC, and to establish sequential generations of CTC‐derived xenografts (CDXs) through injection of patient CTCs in immunodeficient mice. The isolation and validation of CDX‐derived cell populations [analyses of CTCs were paired with bone marrow‐resident cells (BMRTCs) and liver tissue cells obtained from the same animal] were performed by multiparametric flow cytometry, immune phenotyping, and genomic sequencing of putative CTCs. Comprehensive characterization of gene expression arrays from sequentially generated CDX‐derived cell populations, online gene expression arrays, and TCGA databases were employed to discover a CTC‐driven, liver metastasis‐associated TNBC signature. We discovered a distinct transcriptomic signature of TNBC patient‐isolated CTCs from primary TNBCs, which was consistent throughout sequential CDX modeling. We established a novel TNBC liver metastasis‐specific CDX model that selectively recapitulates CTC biology for four sequential generations of mice. The evaluation of online databases and CDX‐derived populations revealed 597 genes specific to the TNBC liver metastasis signatures. Further investigation of the TNBC liver metastasis signature predicted 16 hub genes, 6 biomarkers with clinically available drugs, and 22 survival genes. The sequential interrogation of CDX‐CTCs is an innovative liquid biopsy‐based approach for the discovery of organ metastasis‐specific signatures of CTCs. This represents the first step for mechanistic and analytical validation in their application as prognostic indicators and therapeutic targets. Targeting CTC drug candidate biomarkers along with combination therapy can improve the clinical outcome of TNBC patients in general and recurrence of liver metastasis in particular. John Wiley and Sons Inc. 2019-06-19 2019-09 /pmc/articles/PMC6717757/ /pubmed/31216110 http://dx.doi.org/10.1002/1878-0261.12533 Text en © 2019 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Vishnoi, Monika
Liu, Nikki Haowen
Yin, Wei
Boral, Debasish
Scamardo, Antonio
Hong, David
Marchetti, Dario
The identification of a TNBC liver metastasis gene signature by sequential CTC‐xenograft modeling
title The identification of a TNBC liver metastasis gene signature by sequential CTC‐xenograft modeling
title_full The identification of a TNBC liver metastasis gene signature by sequential CTC‐xenograft modeling
title_fullStr The identification of a TNBC liver metastasis gene signature by sequential CTC‐xenograft modeling
title_full_unstemmed The identification of a TNBC liver metastasis gene signature by sequential CTC‐xenograft modeling
title_short The identification of a TNBC liver metastasis gene signature by sequential CTC‐xenograft modeling
title_sort identification of a tnbc liver metastasis gene signature by sequential ctc‐xenograft modeling
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717757/
https://www.ncbi.nlm.nih.gov/pubmed/31216110
http://dx.doi.org/10.1002/1878-0261.12533
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