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dc.contributor.authorHolsbø, Einar
dc.contributor.authorPerduca, Vittorio
dc.contributor.authorBongo, Lars Ailo
dc.contributor.authorLund, Eiliv
dc.contributor.authorBirmelé, Etienne
dc.date.accessioned2021-01-21T11:29:46Z
dc.date.available2021-01-21T11:29:46Z
dc.date.issued2020-05-20
dc.description.abstract<i>Objective</i> - In this exploratory work we investigate whether blood gene expression measurements predict breast cancer metastasis. Early detection of increased metastatic risk could potentially be life-saving. Our data comes from the Norwegian Women and Cancer epidemiological cohort study. The women who contributed to these data provided a blood sample up to a year before receiving a breast cancer diagnosis. We estimate a penalized maximum likelihood logistic regression. We evaluate this in terms of calibration, concordance probability, and stability, all of which we estimate by the bootstrap.<p> <p><i>Results</i> - We identify a set of 108 candidate predictor genes that exhibit a fold change in average metastasized observation where there is none for the average non-metastasized observation.en_US
dc.identifier.citationHolsbø, Perduca, Bongo, Lund, Birmelé. Predicting breast cancer metastasis from whole-blood transcriptomic measurements. BMC Research Notes. 2020;13(1)en_US
dc.identifier.cristinIDFRIDAID 1853747
dc.identifier.doi10.1186/s13104-020-05088-0
dc.identifier.issn1756-0500
dc.identifier.urihttps://hdl.handle.net/10037/20356
dc.language.isoengen_US
dc.publisherBMCen_US
dc.relation.journalBMC Research Notes
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/TICE/232997/Norway/TRANSCRIPTOMICS IN CANCER EPIDEMIOLOGY//en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420en_US
dc.titlePredicting breast cancer metastasis from whole-blood transcriptomic measurementsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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