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dc.date.accessioned2020-08-20T11:22:45Z
dc.date.available2020-08-20T11:22:45Z
dc.date.created2020-01-16T12:06:45Z
dc.date.issued2020
dc.identifier.citationNome, Marianne Eikhom Euceda, Leslie R. Jabeen, Shakila Debik, Julia Bathen, Tone Frost Giskeødegård, Guro F. Tasken, Kristin Austlid Mælandsmo, Gunhild Mari Halvorsen, Bente Yndestad, Arne Borgen, Elin Garred, Øystein Aukrust, Pål Ueland, Thor Engebraaten, Olav Kristensen, Vessela N. Tekpli, Xavier . Serum levels of inflammation-related markers and metabolites predict response to neoadjuvant chemotherapy with and without bevacizumab in breast cancers. International Journal of Cancer. 2019, 146, 223-235
dc.identifier.urihttp://hdl.handle.net/10852/78647
dc.description.abstractAngiogenesis is necessary for tumor growth and has been targeted in breast cancer; however, it is unclear which patients will respond and benefit from antiangiogenic therapy. We report noninvasive monitoring of patient response to neoadjuvant chemotherapy given alone or in combination with anti‐vascular endothelial growth factor (bevacizumab) in a randomized clinical trial. At four time points during neoadjuvant chemotherapy ± bevacizumab of receptor tyrosine‐protein kinase erbB‐2‐negative breast cancers, we measured metabolites and inflammation‐related markers in patient's serum. We report significant changes in the levels of several molecules induced by bevacizumab, the most prominent being an increase in pentraxin 3 (PTX3) and von Willebrand factor (VWF). Serum levels of AXL, VWF and pulmonary and activation‐regulated cytokine (PARC/CCL18) reflected response to chemotherapy alone or in combination with bevacizumab. We further analyzed serum cytokines in relation to tumor characteristics such as gene expression, tumor metabolites and tumor infiltrating leukocytes. We found that VWF and growth‐differentiation factor 15 tumor mRNA levels correlated with their respective serum protein levels suggesting that these cytokines may be produced by tumors and outflow to the bloodstream while influencing the tumor microenvironment locally. Finally, we used binomial logistic regression which allowed to predict patient's response using only 10 noninvasive biomarkers. Our study highlights the potential of monitoring circulating levels of cytokines and metabolites during breast cancer therapy.en_US
dc.languageNO
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleSerum levels of inflammation-related markers and metabolites predict response to neoadjuvant chemotherapy with and without bevacizumab in breast cancersen_US
dc.typeJournal articleen_US
dc.creator.authorNome, Marianne Eikhom
dc.creator.authorEuceda, Leslie R.
dc.creator.authorJabeen, Shakila
dc.creator.authorDebik, Julia
dc.creator.authorBathen, Tone Frost
dc.creator.authorGiskeødegård, Guro F.
dc.creator.authorTasken, Kristin Austlid
dc.creator.authorMælandsmo, Gunhild Mari
dc.creator.authorHalvorsen, Bente
dc.creator.authorYndestad, Arne
dc.creator.authorBorgen, Elin
dc.creator.authorGarred, Øystein
dc.creator.authorAukrust, Pål
dc.creator.authorUeland, Thor
dc.creator.authorEngebraaten, Olav
dc.creator.authorKristensen, Vessela N.
dc.creator.authorTekpli, Xavier
cristin.unitcode185,53,49,12
cristin.unitnameInstitutt for kreftforskning
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin1774702
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International Journal of Cancer&rft.volume=146&rft.spage=223&rft.date=2019
dc.identifier.jtitleInternational Journal of Cancer
dc.identifier.volume146
dc.identifier.issue1
dc.identifier.startpage223
dc.identifier.endpage235
dc.identifier.doihttps://doi.org/10.1002/ijc.32638
dc.identifier.urnURN:NBN:no-81749
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn0020-7136
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/78647/2/Serum%2Blevels%2Bof%2Bin%25EF%25AC%2582ammation-related%2Bmarkers%2Band%2Bmetabolites%2Bpredict%2Bresponse%2Bto%2Bneoadjuvant%2Bchemotherapy%2Bwith%2Band%2Bwithout%2Bbevacizumab%2Bin%2Bbreast%2Bcancers.pdf
dc.type.versionPublishedVersion


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