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dc.contributor.authorKrüger, Kristi
dc.contributor.authorSilwal-Pandit, Laxmi
dc.contributor.authorWik, Elisabeth
dc.contributor.authorStraume, Oddbjørn
dc.contributor.authorStefansson, Ingunn Marie
dc.contributor.authorBorgen, Elin
dc.contributor.authorGarred, Øystein
dc.contributor.authorNaume, Bjørn
dc.contributor.authorEngebråten, Olav
dc.contributor.authorAkslen, Lars Andreas
dc.date.accessioned2021-08-11T08:57:04Z
dc.date.available2021-08-11T08:57:04Z
dc.date.created2021-06-07T12:53:03Z
dc.date.issued2021
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/2767327
dc.description.abstractA 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.en_US
dc.language.isoengen_US
dc.publisherNature Researchen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBaseline microvessel density predicts response to neoadjuvant bevacizumab treatment of locally advanced breast canceren_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright The Author(s) 2021en_US
dc.source.articlenumber3388en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1038/s41598-021-81914-0
dc.identifier.cristin1914170
dc.source.journalScientific Reportsen_US
dc.identifier.citationScientific Reports. 2021, 11, 3388.en_US
dc.source.volume11en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal