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dc.contributor.authorPerez, EA
dc.contributor.authorBallman, KV
dc.contributor.authorMashadi-Hossein, A
dc.contributor.authorTenner, KS
dc.contributor.authorKachergus, JM
dc.contributor.authorNorton, N
dc.contributor.authorNecela, BM
dc.contributor.authorCarr, JM
dc.contributor.authorFerree, S
dc.contributor.authorPerou, CM
dc.contributor.authorBaehner, F
dc.contributor.authorCheang, MC
dc.contributor.authorThompson, EA
dc.coverage.spatialUnited States
dc.date.accessioned2017-04-19T09:08:36Z
dc.date.issued2017-02-01
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/28376219
dc.identifier2905724
dc.identifier.citationJ Natl Cancer Inst, 2017, 109 (2), pp. 1 - 8
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/607
dc.identifier.eissn1460-2105
dc.identifier.doi10.1093/jnci/djw207
dc.description.abstractBackground: Genomic data from human epidermal growth factor receptor 2-positive (HER2+) tumors were analyzed to assess the association between intrinsic subtype and clinical outcome in a large, well-annotated patient cohort. Methods: Samples from the NCCTG (Alliance) N9831 trial were analyzed using the Prosigna algorithm on the NanoString platform to define intrinsic subtype, risk of recurrence scores, and risk categories for 1392 HER2+ tumors. Subtypes were evaluated for recurrence-free survival (RFS) using Kaplan-Meier and Cox model analysis following adjuvant chemotherapy (n = 484) or chemotherapy plus trastuzumab (n = 908). All statistical tests were two-sided. Results: Patients with HER2+ tumors from N9831 were primarily scored as HER2-enriched (72.1%). These individuals received statistically significant benefit from trastuzumab (hazard ratio [HR] = 0.68, 95% confidence interval [CI] = 0.52 to 0.89, P = .005), as did the patients (291 of 1392) with luminal-type tumors (HR = 0.52, 95% CI = 0.32 to 0.85, P = .01). Patients with basal-like tumors (97 of 1392) did not have statistically significantly better RFS when treated with trastuzumab and chemotherapy compared with chemotherapy alone (HR = 1.06, 95% CI = 0.53 to 2.13, P = .87). Conclusions: The majority of clinically defined HER2-positive tumors were classified as HER2-enriched or luminal using the Prosigna algorithm. Intrinsic subtype alone cannot replace conventional histopathological evaluation of HER2 status because many tumors that are classified as luminal A or luminal B will benefit from adjuvant trastuzumab if that subtype is accompanied by HER2 overexpression. However, among tumors that overexpress HER2, we speculate that assessment of intrinsic subtype may influence treatment, particularly with respect to evaluating alternative therapeutic approaches for that subset of HER2-positive tumors of the basal-like subtype.
dc.format.extent1 - 8
dc.languageeng
dc.language.isoeng
dc.publisherOXFORD UNIV PRESS INC
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved
dc.titleIntrinsic Subtype and Therapeutic Response Among HER2-Positive Breast Tumors from the NCCTG (Alliance) N9831 Trial.
dc.typeJournal Article
dcterms.dateAccepted2016-08-26
rioxxterms.versionofrecord10.1093/jnci/djw207
rioxxterms.licenseref.urihttps://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-02-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfJ Natl Cancer Inst
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.volume109
pubs.embargo.termsNo embargo
icr.researchteamGenomic Analysis – Clinical Trials
dc.contributor.icrauthorCheang, Chon


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