Prediction of Tamoxifen Benefit in Premenopausal Breast Cancer Patients Evaluated by Three Methods for Determination of Hormone Receptor Status

Author:

Engström Terese1ORCID,Ekholm Maria2ORCID,Fernö Mårten1ORCID,Lundgren Christine3ORCID,Nordenskjöld Bo4ORCID,Stål Olle5ORCID,Bendahl Pär-Ola1ORCID,Tutzauer Julia1ORCID,Rydén Lisa6ORCID

Affiliation:

1. Department of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden

2. Department of Oncology, Ryhov Hospital, Jönköping, Sweden, Jönköping; and Department of Biomedical and Clinical Sciences, Division of Oncology, Linköping University, Linköping, Sweden

3. Department of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden; and Department of Oncology, Ryhov Hospital, Jönköping, Sweden, Jönköping; and Department of Biomedical and Clinical Sciences, Division of Oncology, Linköping University, Linköping, Sweden

4. Department of Biomedical and Clinical Sciences, Division of Oncology, Linköping University, Linköping, Sweden

5. Department of Biomedical and Clinical Sciences and Department of Oncology, Linköping University, Linköping, Sweden

6. Department of Clinical Sciences Lund, Division of Surgery and Oncology, Lund University, Lund, Sweden; and Department of Surgery, Skåne University Hospital, Malmö, Sweden

Abstract

Abstract Background Tamoxifen remains an important adjuvant treatment in premenopausal patients with hormone receptor-positive breast cancer. Thus, determination of hormone receptors is important. Here, we compare cytosol-based methods, immunohistochemistry (IHC), and gene expression (GEX) analysis for determining hormone receptor status in premenopausal breast cancer patients from a randomized tamoxifen trial, to determine if any method is superior at identifying patients that benefit from tamoxifen. Methods Premenopausal patients (n = 564) were randomized to two years of tamoxifen or no systemic treatment. Estrogen receptor (ER) and progesterone receptor (PR) status by protein expression measured by cytosol-based methods and IHC, and mRNA by GEX analysis were compared in 313 patients with available data from all methods. Kaplan Meier estimates and Cox regression were used to evaluate the treatment-predictive value for recurrence-free interval (RFi) and overall survival (OS). Median follow-up for event-free patients was 26 (RFi) and 33 (OS) years. Results The mRNA data of ESR1 and PGR distributed bimodally, patterns confirmed in an independent cohort. Kappa-values between all methods were 0.76 and 0.79 for ER and PR respectively. Tamoxifen improved RFi in patients with ER-positive (ER+) or PR-positive (PR+) tumors (Hazard Ratio (HR) and 95% confidence interval (CI)), cytosol-ER + 0.53 (0.36–0.79); IHC-ER + 0.55 (0.38–0.79); GEX-ER + 0.54 (0.37–0.77); cytosol-PR + 0.49 (0.34–0.72); IHC-PR + 0.58 (0.40–0.85); GEX-PR + 0.55 (0.38–0.80)). Results were similar for OS. Conclusion Cytosol-based methods, IHC, and GEX analysis can all identify patients that benefit from two years of tamoxifen with equal performance, indicating that GEX data might be used to guide adjuvant tamoxifen therapy. The trial is registered on ISRCTN: ISRCTN12474687

Publisher

Research Square Platform LLC

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