VEGF and TWIST1 in a 16-biomarker immunoprofile useful for prognosis of breast cancer patients

Laura Schirosi, Simona De Summa, Stefania Tommasi, Angelo Paradiso, Giampietro Gasparini, Ondina Popescu, Giovanni Simone, Anita Mangia

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)1901-1911
Number of pages11
JournalInternational Journal of Cancer
Volume141
Issue number9
DOIs
Publication statusPublished - Nov 1 2017

Keywords

  • biomarker
  • breast cancer
  • hierarchical clustering analysis
  • immunoprofile
  • TMA

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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