- Poster presentation
- Open Access
Population-based study of hormone receptor status comparing OncotypeDX with standard immunohistochemistry
© BioMed Central Ltd. 2009
- Published: 23 June 2009
- Estrogen Receptor
- Progesterone Receptor
- Hormone Receptor
- Recurrence Score
- Progesterone Receptor Status
Accurate measurement of hormone receptor (HR) status is important as hormonal therapy reduces risk of recurrence by >50% in breast cancer patients with hormone-sensitive tumors. We compared estrogen receptor (ER) and progesterone receptor (PR) results obtained with Oncotype DX, a validated 21-gene recurrence score assay that utilizes quantitative RT-PCR, with results from established immunohistochemistry (IHC).
Breast cancer specimens from the Kaiser Oncotype DX study were evaluated by IHC for ER (SP1) and PR (636) using ≥ 1% staining for positivity. ER and PR status was also determined using Oncotype DX (RT-PCR) with pre-defined positivity cutoff values of 6.5 units and 5.5 units, respectively (each unit = twofold change in expression). HR positivity was defined as ER+ and/or PR+.
The overall concordance in 607 evaluable patients (95% CI) between IHC and Oncotype DX was 96% for ER, 90% for PR, and 95% for HR (all P < 0.0001). The kappa (95% CI) between IHC and Oncotype DX was 83% for ER, 76% for PR, and 81% for HR (all P < 0.0001). For discordant pairs that were within cutoff limits, there were 20 that were IHC ER- but ER+ by Oncotype DX, 17 (85%) of which were within cutoff limits; another 38 were IHC PR- but PR+ by Oncotype DX, 23 (61%) of which were within cutoff limits; seven pairs were IHC ER+ but ER- by Oncotype DX, six (86%) of which were within cutoff limits; and 22 pairs were IHC PR+ but Oncotype DX PR-, 19 (86%) of which were within cutoff limits.
There was a high degree of concordance between Oncotype DX and standard IHC methods for ER, PR and HR status, indicating Oncotype DX may be a valid alternative to IHC. The notable incidence of IHC HR-negative patients who were Oncotype DX HR-positive, which could affect treatment decisions, deserves further study.
FLB is an employee and shareholder of Genomic Health, Inc.
Supported by funding from Genomic Health Inc.