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dc.date.accessioned2022-04-21T16:11:47Z
dc.date.available2022-04-21T16:11:47Z
dc.date.created2022-02-17T19:23:16Z
dc.date.issued2021
dc.identifier.citationHaugen, Mads Haugland Lingjærde, Ole Christian Hedenfalk, Ingrid Garred, Øystein Borgen, Elin Loman, Niklas Hatschek, Thomas Børresen-Dale, Anne-Lise Naume, Bjørn Mills, Gordon B. Mælandsmo, Gunhild Mari Engebråten, Olav . Protein signature predicts response to neoadjuvant treatment with chemotherapy and bevacizumab in HER2-negative breast cancers. JCO Precision Oncology (JCO PO). 2021, 5, 286-306
dc.identifier.urihttp://hdl.handle.net/10852/93659
dc.description.abstractPURPOSE Antiangiogenic therapy using bevacizumab has proven effective for a number of cancers; however, in breast cancer (BC), there is an unmet need to identify patients who benefit from such treatment. PATIENTS AND METHODS In the NeoAva phase II clinical trial, patients (N = 132) with large (≥ 25 mm) human epidermal growth factor receptor 2 (HER2)-negative primary tumors were randomly assigned 1:1 to treatment with neoadjuvant chemotherapy (CTx) alone or in combination with bevacizumab (Bev plus CTx). The ratio of the tumor size after relative to before treatment was calculated into a continuous response scale. Tumor biopsies taken prior to neoadjuvant treatment were analyzed by reverse-phase protein arrays (RPPA) for expression levels of 210 BC-relevant (phospho-) proteins. Lasso regression was used to derive a predictor of tumor shrinkage from the expression of selected proteins prior to treatment. RESULTS We identified a nine-protein signature score named vascular endothelial growth factor inhibition response predictor (ViRP) for use in the Bev plus CTx treatment arm able to predict with accuracy pathologic complete response (pCR) (area under the curve [AUC] = 0.85; 95% CI, 0.74 to 0.97) and low residual cancer burden (RCB 0/I) (AUC = 0.80; 95% CI, 0.68 to 0.93). The ViRP score was significantly lower in patients with pCR ( P < .001) and in patients with low RCB ( P < .001). The ViRP score was internally validated on mRNA data and the resultant surrogate mRNA ViRP score significantly separated the pCR patients ( P = .016). Similarly, the mRNA ViRP score was validated ( P < .001) in an independent phase II clinical trial (PROMIX). CONCLUSION Our ViRP score, integrating the expression of nine proteins and validated on mRNA data both internally and in an independent clinical trial, may be used to increase the likelihood of benefit from treatment with bevacizumab combined with chemotherapy in patients with HER2-negative BC.
dc.languageEN
dc.publisherAmerican Society of Clinical Oncology
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleProtein signature predicts response to neoadjuvant treatment with chemotherapy and bevacizumab in HER2-negative breast cancers
dc.typeJournal article
dc.creator.authorHaugen, Mads Haugland
dc.creator.authorLingjærde, Ole Christian
dc.creator.authorHedenfalk, Ingrid
dc.creator.authorGarred, Øystein
dc.creator.authorBorgen, Elin
dc.creator.authorLoman, Niklas
dc.creator.authorHatschek, Thomas
dc.creator.authorBørresen-Dale, Anne-Lise
dc.creator.authorNaume, Bjørn
dc.creator.authorMills, Gordon B.
dc.creator.authorMælandsmo, Gunhild Mari
dc.creator.authorEngebråten, Olav
cristin.unitcode185,15,5,43
cristin.unitnameForskningsgruppen for biomedisinsk informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2003074
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=JCO Precision Oncology (JCO PO)&rft.volume=5&rft.spage=286&rft.date=2021
dc.identifier.jtitleJCO Precision Oncology (JCO PO)
dc.identifier.volume5
dc.identifier.issue5
dc.identifier.startpage286
dc.identifier.endpage306
dc.identifier.doihttps://doi.org/10.1200/PO.20.00086
dc.identifier.urnURN:NBN:no-96222
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2473-4284
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/93659/1/Protein%2Bsignature%2Bpredicts%2Bresponse%2Bto%2Bneoadjuvant%2Btreatment%2Bwith%2Bchemotherapy%2Band%2Bbevacizumab%2Bin%2BHER2-negative%2Bbreast%2Bcancers.pdf
dc.type.versionPublishedVersion


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