Abstract
Background:There is a need to develop blood-based bioassays for breast cancer (BC) screening. In this study, differential gene expression between BC samples and benign tumours was used to identify candidate biomarkers for blood-based screening.Methods:We identified two proteins (Fibronectin 1 and CXCL9) from a gene expression data set that included 120 BC samples and 45 benign lesions. These proteins fulfil the following criteria: differential gene expression between cancer and benign lesion, protein released in the extracellular medium and stable in the serum, commercially available ELISA kit, ELISA accuracy in a feasibility study. Protein concentrations were determined by ELISA. Blood samples were from normal volunteers (n119) and early BC patients (n133).Results:Seventy-three per cent of patients had cT1-T2 tumour. Patients had higher CXCL9 and Fibronectin 1 concentrations than volunteers. CXCL9 mean concentration was 851 and 635 pg ml 1 for patients and volunteers respectively (P0.013). CXCL9 concentration was significantly higher in patients with estrogen receptor (ER)-negative compared with volunteers (P0.003), data consistent with gene expression profile. Fibronectin 1 mean concentration was 190 g ml 1 for patients and 125 g ml 1 for volunteers (P0.001). Areas under the curve for BC diagnosis were 0.78 and 0.62 for Fibronectin 1 and CXCL9 respectively. A combined score including Fibronectin 1 and CXCL9 dosages presented 53% of sensitivity and 98% of specificity. Similar performances were observed for ER-negative tumours.Conclusions:This study suggests that Fibronectin 1/CXCL9 dosage in serum could screen a significant rate of BC, including ER-negative, and that differential gene expression analysis is a good approach to select candidate biomarkers to set up blood assays cancer screening.
Original language | English |
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Pages (from-to) | 462-468 |
Number of pages | 7 |
Journal | British Journal of Cancer |
Volume | 102 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Feb 2010 |
Keywords
- Biomaker
- Breast cancer
- DNA arrays
- Screening