Cargando…
Rho-GTPase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer
BACKGROUND: The prognostic value of lymphovascular invasion (LVI) in breast cancer (BC) has been demonstrated in several independent studies. However, identification of driver molecules for LVI remains a challenging task. Large-scale transcriptomic profiling of histologically validated LVI can poten...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674094/ https://www.ncbi.nlm.nih.gov/pubmed/28829761 http://dx.doi.org/10.1038/bjc.2017.261 |
_version_ | 1783276706480521216 |
---|---|
author | Aleskandarany, Mohammed A Sonbul, Sultan Surridge, Rachel Mukherjee, Abhik Caldas, Carlos Diez-Rodriguez, Maria Ashankyty, Ibraheem Albrahim, Khalil I Elmouna, Ahmed M Aneja, Ritu Martin, Stewart G Ellis, Ian O Green, Andrew R Rakha, Emad A |
author_facet | Aleskandarany, Mohammed A Sonbul, Sultan Surridge, Rachel Mukherjee, Abhik Caldas, Carlos Diez-Rodriguez, Maria Ashankyty, Ibraheem Albrahim, Khalil I Elmouna, Ahmed M Aneja, Ritu Martin, Stewart G Ellis, Ian O Green, Andrew R Rakha, Emad A |
author_sort | Aleskandarany, Mohammed A |
collection | PubMed |
description | BACKGROUND: The prognostic value of lymphovascular invasion (LVI) in breast cancer (BC) has been demonstrated in several independent studies. However, identification of driver molecules for LVI remains a challenging task. Large-scale transcriptomic profiling of histologically validated LVI can potentially identify genes that regulate LVI. METHODS: Integrative bio-informatics analyses of the METABRIC study were performed utilising a subset of strictly defined LVI using histological and immunohistochemical (IHC) criteria. ARHGAP18 was among the top differentially expressed genes between LVI+ and LVI− BC with a 1.8-fold change. The prognostic impact of ARHGAP18 gene expression was assessed in the METABRIC data set (n=1980) and externally validated using the online BC gene expression data sets utilising bc-GenExMiner v4.0 (n=2016). Subsequently, ARHGAP18 protein expression was assessed on a large cohort of invasive BC (n=959) with long-term follow-up using IHC. RESULTS: Pooled analysis of ARHGAP18 mRNA expression showed that overexpression was associated with better outcome (P<0.001, hazard ratio (HR)=0.82, 95% CI 0.75–0.90). ARHGAP18 protein was expressed in the cytoplasm and nuclei of the tumour cells and its expression was positively associated with good prognostic variables. Lack of cytoplasmic expression showed associations with LVI (P=0.006), epithelial-mesenchymal transition and the HER+ subtype (P=0.01). Loss of nuclear expression was associated with higher grade, HER2+ and high Ki67LI (P=0.001). Cytoplasmic and nuclear expression showed a positive association with improved survival independent of other variables (P=0.01, HR=0.74, 95% CI 0.60–87). CONCLUSIONS: ARHGAP18 expression at transcriptomic and protein levels is associated with improved patients’ outcomes whose deregulation may play a role in tumour progression and the development of LVI in BC. Further assessment of its potential therapeutic value in BC is warranted. |
format | Online Article Text |
id | pubmed-5674094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56740942018-10-10 Rho-GTPase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer Aleskandarany, Mohammed A Sonbul, Sultan Surridge, Rachel Mukherjee, Abhik Caldas, Carlos Diez-Rodriguez, Maria Ashankyty, Ibraheem Albrahim, Khalil I Elmouna, Ahmed M Aneja, Ritu Martin, Stewart G Ellis, Ian O Green, Andrew R Rakha, Emad A Br J Cancer Molecular Diagnostics BACKGROUND: The prognostic value of lymphovascular invasion (LVI) in breast cancer (BC) has been demonstrated in several independent studies. However, identification of driver molecules for LVI remains a challenging task. Large-scale transcriptomic profiling of histologically validated LVI can potentially identify genes that regulate LVI. METHODS: Integrative bio-informatics analyses of the METABRIC study were performed utilising a subset of strictly defined LVI using histological and immunohistochemical (IHC) criteria. ARHGAP18 was among the top differentially expressed genes between LVI+ and LVI− BC with a 1.8-fold change. The prognostic impact of ARHGAP18 gene expression was assessed in the METABRIC data set (n=1980) and externally validated using the online BC gene expression data sets utilising bc-GenExMiner v4.0 (n=2016). Subsequently, ARHGAP18 protein expression was assessed on a large cohort of invasive BC (n=959) with long-term follow-up using IHC. RESULTS: Pooled analysis of ARHGAP18 mRNA expression showed that overexpression was associated with better outcome (P<0.001, hazard ratio (HR)=0.82, 95% CI 0.75–0.90). ARHGAP18 protein was expressed in the cytoplasm and nuclei of the tumour cells and its expression was positively associated with good prognostic variables. Lack of cytoplasmic expression showed associations with LVI (P=0.006), epithelial-mesenchymal transition and the HER+ subtype (P=0.01). Loss of nuclear expression was associated with higher grade, HER2+ and high Ki67LI (P=0.001). Cytoplasmic and nuclear expression showed a positive association with improved survival independent of other variables (P=0.01, HR=0.74, 95% CI 0.60–87). CONCLUSIONS: ARHGAP18 expression at transcriptomic and protein levels is associated with improved patients’ outcomes whose deregulation may play a role in tumour progression and the development of LVI in BC. Further assessment of its potential therapeutic value in BC is warranted. Nature Publishing Group 2017-10-10 2017-08-22 /pmc/articles/PMC5674094/ /pubmed/28829761 http://dx.doi.org/10.1038/bjc.2017.261 Text en Copyright © 2017 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Molecular Diagnostics Aleskandarany, Mohammed A Sonbul, Sultan Surridge, Rachel Mukherjee, Abhik Caldas, Carlos Diez-Rodriguez, Maria Ashankyty, Ibraheem Albrahim, Khalil I Elmouna, Ahmed M Aneja, Ritu Martin, Stewart G Ellis, Ian O Green, Andrew R Rakha, Emad A Rho-GTPase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer |
title | Rho-GTPase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer |
title_full | Rho-GTPase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer |
title_fullStr | Rho-GTPase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer |
title_full_unstemmed | Rho-GTPase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer |
title_short | Rho-GTPase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer |
title_sort | rho-gtpase activating-protein 18: a biomarker associated with good prognosis in invasive breast cancer |
topic | Molecular Diagnostics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674094/ https://www.ncbi.nlm.nih.gov/pubmed/28829761 http://dx.doi.org/10.1038/bjc.2017.261 |
work_keys_str_mv | AT aleskandaranymohammeda rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT sonbulsultan rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT surridgerachel rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT mukherjeeabhik rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT caldascarlos rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT diezrodriguezmaria rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT ashankytyibraheem rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT albrahimkhalili rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT elmounaahmedm rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT anejaritu rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT martinstewartg rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT ellisiano rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT greenandrewr rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer AT rakhaemada rhogtpaseactivatingprotein18abiomarkerassociatedwithgoodprognosisininvasivebreastcancer |