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ABSTRACT: Background
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.
SUBMITTER: Perez EA
PROVIDER: S-EPMC5903647 | biostudies-literature | 2017 Feb
REPOSITORIES: biostudies-literature
Perez Edith A EA Ballman Karla V KV Mashadi-Hossein Afshin A Tenner Kathleen S KS Kachergus Jennifer M JM Norton Nadine N Necela Brian M BM Carr Jennifer M JM Ferree Sean S Perou Charles M CM Baehner Frederick F Cheang Maggie Chon U MC Thompson E Aubrey EA
Journal of the National Cancer Institute 20161028 2
<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]