Image-based risk score to predict recurrence of ER+ breast cancer in ECOG-ACRIN Cancer Research Group E2197.

Authors

null

Nishant Verma

Inspirata, Tampa, FL, US

Nishant Verma , Dave Harding , Amir Mohammadi , Lori J. Goldstein , Hannah L. Gilmore , Michael D Feldman , John Tomaszewski , Ajay Basavanhally , Mark Lloyd , Pingfu Fu , Shridar Ganesan , Nancy E. Davidson , Anant Madabhushi , James Monaco

Organizations

Inspirata, Tampa, FL, US, Inspirata, Tampa, FL, Fox Chase Cancer Center, Philadelphia, PA, University Hospitals Case Medical Center, Beachwood, OH, University of Pennsylvania, Department of Pathology, Philadelphia, PA, US, University at Buffalo, Buffalo, NY, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, Rutgers University, New Brunswick, NJ, University of Pittsburgh Cancer Institute, Pittsburgh, PA, Case Western Reserve University, Department of Biomedical Engineering, Cleveland, OH

Research Funding

Pharmaceutical/Biotech Company

Background: Tumor grade is a predictor of breast cancer recurrence, independent of gene expression assays such as Oncotype Dx (ODx). However, grade suffers from significant intra- and inter-observer variability, limiting its clinical utility. Advances in whole slide imaging facilitate computerized analysis of H&E slides. We have developed a prognostic assay called Image-based Risk Score (IbRiS) which extracts and leverages morphometric signatures from H&E slides to classify patients into low- vs. high-risk groups for recurrence. Methods: IbRiS was evaluated on 378 ER+ patients treated with chemo-hormonal therapy obtained from ECOG-ACRIN study E2197; patients had 0-3 positive axillary nodes and H&E slides of acceptable quality; 60 patients suffered recurrence. A subset of 124 patients (27 recurrences) were HER2-. Another (enriched) subset (116 patients with 27 recurrences) had accompanying ODx scores. To establish IbRiS low- and high-risk groups, we determined (over the 378 patients) a cutoff such that the low-risk group had a 10-year recurrence rate of ~10%. We evaluated IbRiS risk groups using Cox proportional hazard analysis, controlling for node status, age, and tumor size. We also compared the recurrence rates in the IbRiS risk groups to those of ODx and a combined assay (IbRiS + ODx). Results: IbRiS risk groups predicted recurrence with a hazard ratio of 2.41 (n = 378, 95% CI = 1.21-4.79, p = 0.01) and 2.52 (n = 124, 95% CI = 0.85-7.46, p = 0.09) for the HER2- subset. Over the 378 patients, IbRiS classified as low-risk 35.3% of the patients who did not suffer recurrence. Table 1 compares the low-/high- risk stratifications of IbRiS, ODx, and the combined assay. Conclusions: IbRiS assay is a significant predictor of breast cancer recurrence and contributes prognostic information independent of ODx. The combined genomic and morphometric assay outperforms either individual assay. Also, while ODx was reported to lose prognostic ability when restricted to HER2- patients in E2197, IbRiS remains a predictor of recurrence.

Performance of assays (N = 116).

% of patients without recurrence classified as low-risk10-year recurrence rate in low-risk group
IbRiS37.5%17.2%
ODx56.3%19.6%
IbRiS + ODx75.0%20.0%

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Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Breast Cancer—Local/Regional/Adjuvant

Track

Breast Cancer

Sub Track

Adjuvant Therapy

Citation

J Clin Oncol 36, 2018 (suppl; abstr 540)

DOI

10.1200/JCO.2018.36.15_suppl.540

Abstract #

540

Poster Bd #

32

Abstract Disclosures