Baseline microvessel density predicts response to neoadjuvant bevacizumab treatment of locally advanced breast cancer

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Kristi Krüger
Laxmi Silwal-Pandit
Elisabeth Wik
Oddbjørn Straume
Ingunn M. Stefansson
Elin Borgen
Øystein Garred
Bjørn Naume
Olav Engebraaten
Lars A. Akslen
机构
[1] Haukeland University Hospital,Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology
[2] University of Bergen,Department of Cancer Genetics, Institute for Cancer Research, Division of Cancer Medicine, Surgery and Transplantation
[3] Oslo University Hospital Radiumhospitalet,Department of Pathology
[4] Haukeland University Hospital,Department of Oncology
[5] Haukeland University Hospital,Department of Pathology
[6] Oslo University Hospital,Department of Oncology, Division of Cancer Medicine
[7] Oslo University Hospital,Institute for Clinical Medicine
[8] University of Oslo,Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, Section for Oncology
[9] University of Bergen,undefined
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A subset of breast cancer patients benefits from preoperative bevacizumab and chemotherapy, but validated predictive biomarkers are lacking. Here, we aimed to evaluate tissue-based angiogenesis markers for potential predictive value regarding response to neoadjuvant bevacizumab treatment in breast cancer. In this randomized 1:1 phase II clinical trial, 132 patients with large or locally advanced HER2-negative tumors received chemotherapy ± bevacizumab. Dual Factor VIII/Ki-67 immunohistochemical staining was performed on core needle biopsies at baseline and week 12. Microvessel density (MVD), proliferative microvessel density (pMVD; Factor VIII/Ki-67 co-expression), glomeruloid microvascular proliferation (GMP), and a gene expression angiogenesis signature score, were studied in relation to pathologic complete response (pCR), clinico-pathologic features and intrinsic molecular subtype. We found that high baseline MVD (by median) significantly predicted pCR in the bevacizumab-arm (odds ratio 4.9, P = 0.012). High pMVD, presence of GMP, and the angiogenesis signature score did not predict pCR, but were associated with basal-like (P ≤ 0.009) and triple negative phenotypes (P ≤ 0.041). pMVD and GMP did also associate with high-grade tumors (P ≤ 0.048). To conclude, high baseline MVD significantly predicted response to bevacizumab treatment. In contrast, pMVD, GMP, and the angiogenesis signature score, did not predict response, but associated with aggressive tumor features, including basal-like and triple-negative phenotypes.
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