Development and Validation of a Genomic Profile for the Omission of Local Adjuvant Radiation in Breast Cancer

Author:

Sjöström Martin12ORCID,Fyles Anthony3,Liu Fei-Fei3ORCID,McCready David3,Shi Wei3ORCID,Rey-McIntyre Katrina3,Chang S. Laura4,Feng Felix Y.2ORCID,Speers Corey W.5ORCID,Pierce Lori J.5ORCID,Holmberg Erik6ORCID,Fernö Mårten1ORCID,Malmström Per17,Karlsson Per6ORCID

Affiliation:

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

2. Department of Radiation Oncology, University of California San Francisco, San Francisco, CA

3. Princess Margaret Cancer Centre and University of Toronto, Toronto, ON, Canada

4. Exact Sciences, Madison, WI

5. Department of Radiation Oncology, University of Michigan, Ann Arbor, MI

6. Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

7. Department of Haematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden

Abstract

PURPOSE Adjuvant radiotherapy (RT) is used for women with early-stage invasive breast cancer treated with breast-conserving surgery. However, some women with low risk of recurrence may safely be spared RT. This study aimed to identify these women using a molecular-based approach. METHODS We analyzed two randomized trials of women with node-negative invasive breast cancer to ± RT following breast-conserving surgery: SweBCG91-RT (stage I-II, no adjuvant systemic therapy) and Princess Margaret (age 50 years or older, T1-T2, adjuvant tamoxifen). Transcriptome-wide profiling was performed (Affymetrix Human Exon 1.0 ST microarray). Patients with estrogen receptor–positive/human epidermal growth factor receptor 2–negative tumors and with gene expression data were included. The SweBCG91-RT cohort was divided into training (N = 243) and validation (N = 354) cohorts. A 16-gene signature named Profile for the Omission of Local Adjuvant Radiation (POLAR) was trained to predict locoregional recurrence (LRR) using elastic net regression. POLAR was then validated in the SweBCG91-RT validation cohort and the Princess Margaret cohort (N = 132). RESULTS Patients categorized as POLAR low-risk without RT had a 10-year LRR of 6% (95% CI, 2 to 16) and 7% (0 to 27) in SweBCG91-RT and Princess Margaret cohorts, respectively. There was no significant benefit from RT in POLAR low-risk patients (hazard ratio [HR], 1.1 [0.39 to 3.4], P = .81, and HR, 1.5 [0.14 to 16], P = .74, respectively). Patients categorized as POLAR high-risk had a significant decreased risk of LRR with RT (HR, 0.43 [0.24 to 0.78], P = .0055, and HR, 0.25 [0.07 to 0.92], P = .038, respectively). An exploratory analysis testing for interaction between RT and POLAR in the combined validation cohort was performed ( P = .066). CONCLUSION The novel POLAR genomic signature on the basis of LRR biology may identify patients with a low risk of LRR despite not receiving RT, and thus may be candidates for RT omission.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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