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dc.contributor.authorGoncalves, R
dc.contributor.authorDeSchryver, K
dc.contributor.authorMa, C
dc.contributor.authorTao, Y
dc.contributor.authorHoog, J
dc.contributor.authorCheang, M
dc.contributor.authorCrouch, E
dc.contributor.authorDahiya, N
dc.contributor.authorSanati, S
dc.contributor.authorBarnes, M
dc.contributor.authorSarian, LOZ
dc.contributor.authorOlson, J
dc.contributor.authorAllred, DC
dc.contributor.authorEllis, MJ
dc.date.accessioned2017-07-05T11:17:59Z
dc.date.issued2017-09-01
dc.identifier.citationBreast cancer research and treatment, 2017, 165 (2), pp. 355 - 364
dc.identifier.issn0167-6806
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/687
dc.identifier.eissn1573-7217
dc.identifier.doi10.1007/s10549-017-4329-y
dc.description.abstractPURPOSE: The recent publication of the ACOSOG Z1031 trial results demonstrated that Ki-67 proliferation marker-based neoadjuvant endocrine therapy response monitoring could be used for tailoring the use of adjuvant chemotherapy in ER+HER2-negative breast cancer patients. In this paper, we describe the development of the Ki-67 clinical trial assay used for this study. METHODS: Ki-67 assay assessment focused on reproducing a 2.7% Ki-67 cut-point (CP) required for calculating the Preoperative Endocrine Prognostic Index and a 10% CP for poor endocrine therapy response identification within the first month of neoadjuvant endocrine treatment. Image analysis was assessed to increase the efficiency of the scoring process. Clinical outcome concordance for two independent Ki-67 scores was the primary performance metric. RESULTS: Discordant scores led to a triage approach where cases with complex histological features that software algorithms could not resolve were flagged for visual point counting (17%). The final Ki-67 scoring approach was run on T1/2 N0 cases from the P024 and POL trials (N = 58). The percent positive agreement for the 2.7% CP was 87.5% (95% CI 61.7-98.5%); percent negative agreement 88.9% (95% CI: 65.3-98.6%). Minor discordance did not affect the ability to predict similar relapse-free outcomes (Log-Rank P = 0.044 and P = 0.055). The data for the 10% early triage CP in the POL trial were similar (N = 66), the percentage positive agreement was 100%, and percent negative agreement 93.55% (95% CI: 78.58-99.21%). The independent survival predictions were concordant (Log-rank P = 0.0001 and P = 0.01). CONCLUSIONS: We have developed an efficient and reproducible Ki-67 scoring system that was approved by the Clinical Trials Evaluation Program for NCI-supported neoadjuvant endocrine therapy trials. Using the methodology described here, investigators are able to identify a subgroup of patients with ER+HER2-negative breast cancer that can be safely managed without the need of adjuvant chemotherapy.
dc.formatPrint-Electronic
dc.format.extent355 - 364
dc.languageeng
dc.language.isoeng
dc.publisherSPRINGER
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectBreast Neoplasms
dc.subjectKi-67 Antigen
dc.subjectAntineoplastic Agents, Hormonal
dc.subjectAntineoplastic Combined Chemotherapy Protocols
dc.subjectPrognosis
dc.subjectTreatment Outcome
dc.subjectChemotherapy, Adjuvant
dc.subjectNeoadjuvant Therapy
dc.subjectReproducibility of Results
dc.subjectROC Curve
dc.subjectFemale
dc.subjectKaplan-Meier Estimate
dc.subjectBiomarkers
dc.subjectClinical Decision-Making
dc.titleDevelopment of a Ki-67-based clinical trial assay for neoadjuvant endocrine therapy response monitoring in breast cancer.
dc.typeJournal Article
dcterms.dateAccepted2017-06-01
rioxxterms.versionofrecord10.1007/s10549-017-4329-y
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2017-09
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfBreast cancer research and treatment
pubs.issue2
pubs.notesNo embargo
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Genomic Analysis – Clinical Trials
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Genomic Analysis – Clinical Trials
pubs.publication-statusPublished
pubs.volume165
pubs.embargo.termsNo embargo
icr.researchteamGenomic Analysis – Clinical Trials
dc.contributor.icrauthorCheang, Chon


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