Serum NSE, MMP-9 and HER2 extracellular domain are associated with brain metastases in metastatic breast cancer patients: predictive biomarkers for brain metastases?

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Darlix, Amélie | Lamy, Pierre-Jean | Lopez-Crapez, Evelyne | Braccini, Antoine Laurent | Firmin, Nelly | Romieu, Gilles | Thèzenas, Simon | Jacot, William

Edité par CCSD ; Wiley -

International audience. Breast cancer (BC) is the second most common cause of brain metastases (BM). Predictive factors for BM have been widely studied in metastatic BC; however, there is no known serum tumor marker to accurately predict BM. Elevated serum S100ß protein and neuron-specific enolase (NSE) could reflect the brain damages induced by BM. Matrix metalloproteinase 9 (MMP-9) is involved in tumor invasion and metastatic dissemination, including BM. Also, HER2-amplified BC were shown to have a particular tropism for central nervous system (CNS). This study evaluated the correlation of these biomarkers with the presence of BM in metastatic BC patients. In this case-control study, 88 consecutive metastatic BC patients with BM (BM group) treated in our institution (2008-2015) were retrospectively selected, based on the availability of frozen serum samples for tumor marker determination. Patients were matched by age, tumor biology and number of previous metastatic chemotherapy lines to 162 metastatic BC patients without CNS involvement (control group). Serum NSE, MMP-9 and HER2 extracellular domain (ECD) levels were significantly higher in the BM group (p = 0.0051, p = 0.0062 and p = 0.0057, respectively). In multivariate analysis, serum HER2 and MMP-9 levels accurately discriminated patients with BM: odds ratios 4.4 (p < 0.001; 95%CI: 1.9-9.6) for HER2 ECD and 3.5 (p = 0.005; 95%CI: 1.5-8.4) for MMP-9. In multivariate analysis, HER2 ECD and NSE serum levels were independent prognostic factors in patients with BM. Serum HER2 ECD and MMP-9 appear to be associated with BM in metastatic BC patients. Their predictive value for BM still needs to be evaluated in further prospective studies.

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