Cargando…

The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization

BACKGROUND: Circulating tumor cells (CTCs) are important for metastatic dissemination of cancer. They can provide useful information, regarding biological features and tumor heterogeneity; however, their detection and characterization are difficult due to their limited number in the bloodstream and...

Descripción completa

Detalles Bibliográficos
Autores principales: Kallergi, Galatea, Tsintari, Vasileia, Sfakianakis, Stelios, Bei, Ekaterini, Lagoudaki, Eleni, Koutsopoulos, Anastasios, Zacharopoulou, Nefeli, Alkahtani, Saad, Alarifi, Saud, Stournaras, Christos, Zervakis, Michalis, Georgoulias, Vassilis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676640/
https://www.ncbi.nlm.nih.gov/pubmed/31370904
http://dx.doi.org/10.1186/s13058-019-1166-4
_version_ 1783440804849647616
author Kallergi, Galatea
Tsintari, Vasileia
Sfakianakis, Stelios
Bei, Ekaterini
Lagoudaki, Eleni
Koutsopoulos, Anastasios
Zacharopoulou, Nefeli
Alkahtani, Saad
Alarifi, Saud
Stournaras, Christos
Zervakis, Michalis
Georgoulias, Vassilis
author_facet Kallergi, Galatea
Tsintari, Vasileia
Sfakianakis, Stelios
Bei, Ekaterini
Lagoudaki, Eleni
Koutsopoulos, Anastasios
Zacharopoulou, Nefeli
Alkahtani, Saad
Alarifi, Saud
Stournaras, Christos
Zervakis, Michalis
Georgoulias, Vassilis
author_sort Kallergi, Galatea
collection PubMed
description BACKGROUND: Circulating tumor cells (CTCs) are important for metastatic dissemination of cancer. They can provide useful information, regarding biological features and tumor heterogeneity; however, their detection and characterization are difficult due to their limited number in the bloodstream and their mesenchymal characteristics. Therefore, new biomarkers are needed to address these questions. METHODS: Bioinformatics functional enrichment analysis revealed a subgroup of 24 genes, potentially overexpressed in CTCs. Among these genes, the chemokine receptor CXCR4 plays a central role. After prioritization according to the CXCR4 corresponding pathways, five molecules (JUNB, YWHAB, TYROBP, NFYA, and PRDX1) were selected for further analysis in biological samples. The SKBR3, MDA-MB231, and MCF7 cell lines, as well as PBMCs from normal (n = 10) blood donors, were used as controls to define the expression pattern of all the examined molecules. Consequently, 100 previously untreated metastatic breast cancer (mBC) patients (n = 100) were analyzed using the following combinations of antibodies: CK (cytokeratin)/CXCR4/JUNB, CK/NFYA/ΥWHΑΒ (14-3-3), and CK/TYROBP/PRDX1. A threshold value for every molecule was considered the mean expression in normal PBMCs. RESULTS: Quantification of CXCR4 revealed overexpression of the receptor in SKBR3 and in CTCs, following the subsequent scale (SKBR3>CTCs>Hela>MCF7>MDA-MB231). JUNB was also overexpressed in CTCs (SKBR3>CTCs>MCF7>MDA-MB231>Hela). According to the defined threshold for each molecule, CXCR4-positive CTCs were identified in 90% of the patients with detectable tumor cells in their blood. In addition, 65%, 75%, 14.3%, and 12.5% of the patients harbored JUNB-, TYROBP-, NFYA-, and PRDX-positive CTCs, respectively. Conversely, none of the patients revealed YWHAB-positive CTCs. Interestingly, JUNB expression in CTCs was phenotypically and statistically enhanced compared to patients’ blood cells (p = 0.002) providing a possible new biomarker for CTCs. Furthermore, the detection of JUNB-positive CTCs in patients was associated with poorer PFS (p = 0.015) and OS (p = 0.002). Moreover, JUNB staining of 11 primary and 4 metastatic tumors from the same cohort of patients revealed a dramatic increase of JUNB expression in metastasis. CONCLUSIONS: CXCR4, JUNB, and TYROBP were overexpressed in CTCs, but only the expression of JUNB was associated with poor prognosis, providing a new biomarker and a potential therapeutic target for the elimination of CTCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-019-1166-4) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6676640
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-66766402019-08-06 The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization Kallergi, Galatea Tsintari, Vasileia Sfakianakis, Stelios Bei, Ekaterini Lagoudaki, Eleni Koutsopoulos, Anastasios Zacharopoulou, Nefeli Alkahtani, Saad Alarifi, Saud Stournaras, Christos Zervakis, Michalis Georgoulias, Vassilis Breast Cancer Res Research Article BACKGROUND: Circulating tumor cells (CTCs) are important for metastatic dissemination of cancer. They can provide useful information, regarding biological features and tumor heterogeneity; however, their detection and characterization are difficult due to their limited number in the bloodstream and their mesenchymal characteristics. Therefore, new biomarkers are needed to address these questions. METHODS: Bioinformatics functional enrichment analysis revealed a subgroup of 24 genes, potentially overexpressed in CTCs. Among these genes, the chemokine receptor CXCR4 plays a central role. After prioritization according to the CXCR4 corresponding pathways, five molecules (JUNB, YWHAB, TYROBP, NFYA, and PRDX1) were selected for further analysis in biological samples. The SKBR3, MDA-MB231, and MCF7 cell lines, as well as PBMCs from normal (n = 10) blood donors, were used as controls to define the expression pattern of all the examined molecules. Consequently, 100 previously untreated metastatic breast cancer (mBC) patients (n = 100) were analyzed using the following combinations of antibodies: CK (cytokeratin)/CXCR4/JUNB, CK/NFYA/ΥWHΑΒ (14-3-3), and CK/TYROBP/PRDX1. A threshold value for every molecule was considered the mean expression in normal PBMCs. RESULTS: Quantification of CXCR4 revealed overexpression of the receptor in SKBR3 and in CTCs, following the subsequent scale (SKBR3>CTCs>Hela>MCF7>MDA-MB231). JUNB was also overexpressed in CTCs (SKBR3>CTCs>MCF7>MDA-MB231>Hela). According to the defined threshold for each molecule, CXCR4-positive CTCs were identified in 90% of the patients with detectable tumor cells in their blood. In addition, 65%, 75%, 14.3%, and 12.5% of the patients harbored JUNB-, TYROBP-, NFYA-, and PRDX-positive CTCs, respectively. Conversely, none of the patients revealed YWHAB-positive CTCs. Interestingly, JUNB expression in CTCs was phenotypically and statistically enhanced compared to patients’ blood cells (p = 0.002) providing a possible new biomarker for CTCs. Furthermore, the detection of JUNB-positive CTCs in patients was associated with poorer PFS (p = 0.015) and OS (p = 0.002). Moreover, JUNB staining of 11 primary and 4 metastatic tumors from the same cohort of patients revealed a dramatic increase of JUNB expression in metastasis. CONCLUSIONS: CXCR4, JUNB, and TYROBP were overexpressed in CTCs, but only the expression of JUNB was associated with poor prognosis, providing a new biomarker and a potential therapeutic target for the elimination of CTCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-019-1166-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-01 2019 /pmc/articles/PMC6676640/ /pubmed/31370904 http://dx.doi.org/10.1186/s13058-019-1166-4 Text en © The Author(s). 2019 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
Kallergi, Galatea
Tsintari, Vasileia
Sfakianakis, Stelios
Bei, Ekaterini
Lagoudaki, Eleni
Koutsopoulos, Anastasios
Zacharopoulou, Nefeli
Alkahtani, Saad
Alarifi, Saud
Stournaras, Christos
Zervakis, Michalis
Georgoulias, Vassilis
The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization
title The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization
title_full The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization
title_fullStr The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization
title_full_unstemmed The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization
title_short The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization
title_sort prognostic value of junb-positive ctcs in metastatic breast cancer: from bioinformatics to phenotypic characterization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676640/
https://www.ncbi.nlm.nih.gov/pubmed/31370904
http://dx.doi.org/10.1186/s13058-019-1166-4
work_keys_str_mv AT kallergigalatea theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT tsintarivasileia theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT sfakianakisstelios theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT beiekaterini theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT lagoudakieleni theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT koutsopoulosanastasios theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT zacharopoulounefeli theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT alkahtanisaad theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT alarifisaud theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT stournaraschristos theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT zervakismichalis theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT georgouliasvassilis theprognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT kallergigalatea prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT tsintarivasileia prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT sfakianakisstelios prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT beiekaterini prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT lagoudakieleni prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT koutsopoulosanastasios prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT zacharopoulounefeli prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT alkahtanisaad prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT alarifisaud prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT stournaraschristos prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT zervakismichalis prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization
AT georgouliasvassilis prognosticvalueofjunbpositivectcsinmetastaticbreastcancerfrombioinformaticstophenotypiccharacterization