VEGF and TWIST1 in a 16‐biomarker immunoprofile useful for prognosis of breast cancer patients
- 20 July 2017
- journal article
- research article
- Published by Wiley in International Journal of Cancer
- Vol. 141 (9) , 1901-1911
Abstract
This study concerns the expression of biomarkers involved in diverse pathways, such as progression, DNA repair mechanisms and angiogenesis to establish an immunoprofile capable of characterizing sporadic versus familial breast cancers (BCs). The aim was to identify a patient subgroup with a different clinical outcome, which could then be directed towards new targeted therapies. Hierarchical cluster analysis (HCA) was carried out using the immunohistochemical score from tissue microarray sections of an initial cohort of 183 (88 sporadic and 95 familial) patients with invasive BC. For the survival analysis, only those patients with complete follow‐up were considered. The HCA revealed a 16‐protein immunoprofile, nine of which represent the core, as was also found when familial and sporadic BCs were analysed individually. The 16‐biomarker immunoprofile was able to identify a group of patients (Group 1) with a more aggressive tumour phenotype. Survival analyses showed that VEGF+/TWIST1‐ patients with familial BC of Group 1 tended to demonstrate a lower DFS than the VEGF‐/TWIST1+ sporadic BC patients of Group 2 (p = 0.052). Moreover, the entire cohort of VEGF+/TWIST1‐ patients showed a statistically worse DFS than the patients with VEGF‐/TWIST1+ expression (p = 0.034). In conclusion, we found that tumour stratification based on an immunoprofile is useful to predict the patient clinical behaviour. In particular, our study indicates that the clustering of tumors on the basis of this immunoprofile suggests the possibility to differentiate familial from sporadic BCs and to clinically select those patients who are more likely to benefit from inhibition of the VEGF pathway.Keywords
Funding Information
- Ministero della Salute, “Ricerca Corrente 2016”
This publication has 31 references indexed in Scilit:
- A Review of the Clinical Implications of Breast Cancer BiologyElectronic Physiciane, 2016
- Cancer Hallmarks, Biomarkers and Breast Cancer Molecular SubtypesJournal of Cancer, 2016
- Immunoprofile from tissue microarrays to stratify familial breast cancer patientsOncotarget, 2015
- Expression of proteins involved in DNA damage response in familial and sporadic breast cancer patientsInternational Journal of Cancer, 2015
- Nuclear NHERF1 expression as a prognostic marker in breast cancerCell Death & Disease, 2013
- Tumor angiogenesis: molecular pathways and therapeutic targetsNature Medicine, 2011
- Molecular profiling currently offers no more than tumour morphology and basic immunohistochemistryBreast Cancer Research, 2010
- The contribution of gene expression profiling to breast cancer classification, prognostication and prediction: a retrospective of the last decadeThe Journal of Pathology, 2009
- Characterization of a Naturally Occurring Breast Cancer Subset Enriched in Epithelial-to-Mesenchymal Transition and Stem Cell CharacteristicsCancer Research, 2009
- BRCA1 mutations and polymorphisms in a hospital-based consecutive series of breast cancer patients from Apulia, ItalyMutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 2005