Abstract PS3-06-17: Prognostic performance analysis of artificial intelligence test and 21-gene assay in premenopausal node-positive HR+ HER2- breast cancer patients

Abstract Background: The RxPONDER trial was a landmark study demonstrating that the 21-gene Oncotype DX (ODX) assay can help avoid unnecessary adjuvant chemotherapy in postmenopausal women with 1-3 positive nodes (N+) and an ODX recurrence score (RS) ≤25. However, N+ premenopausal women with RS≤25 showed a significant but variable benefit to adjuvant chemotherapy despite low or intermediate ODX RS. Current NCCN guidelines therefore recommend ODX only as a consideration in this subgroup, leaving risk-adapted decision-making unresolved. Ataraxis Breast (ATX) is a multi-modal artificial intelligence test that integrates morphological features extracted from standard H&E-stained slides with baseline clinical data. Here we validate the prognostic accuracy of ATX in four premenopausal N+ cohorts. Methods: 150 premenopausal HR+/HER2- node-positive cases were extracted from Providence Health (n=48), TCGA (n=59), Basel (n=32) and Karmanos (n=11) cohorts. ATX recurrence scores were generated using a locked model. 43 patients (Basel and Karmanos cohorts) also had ODX RS available. Prognostic performance of ATX and ODX RS was assessed for disease-free interval (DFI) endpoint using Harrell’s C-index and hazard ratio (HR per 0.1 increase in ATX). Reported HR and C-index are pooled using random-effects meta-analysis. Results: In a univariate model, ATX was a significant predictor of DFI in premenopausal N+ women with a hazard ratio of 2.77 (1.53-5.01, p=0.02) and C-index of 0.78 (95% CI: 0.64-0.92). ODX did not reach statistical significance with a HR of 1.05 (1.00-1.10, p=0.05) and C-index of 0.46 (0.32-0.59). In multivariate analysis adjusting for age, tumor size and grade, ATX was the only variable significantly associated with DFI (p<0.01). The estimated 5-year recurrence rates for ATX bottom and top quartiles were 9.1% and 25.7%. When divided into exploratory low/high ATX risk groups with threshold at 10% 5-year risk of recurrence (RoR), the ATX <10% RoR group included 39 patients with an observed recurrence rate of 5%, while ATX ≥ 10% RoR included 111 patients with an observed recurrence rate of 16%. Conclusions: ATX demonstrates promising independent prognostic performance in premenopausal node-positive breast cancer across diverse datasets. Larger studies are needed to confirm its efficacy and utility. Citation Format: J. Elayoubi, K. Choucair, K. Kalinsky, K. Pogoda, F. J. Esteva, K. Zeng, J. Cappadona, B. Machura, K. J. Geras, J. Witowski. Prognostic performance analysis of artificial intelligence test and 21-gene assay in premenopausal node-positive HR+ HER2- breast cancer patients [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-06-17.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2026-02-17
DOI
https://doi.org/10.1158/1557-3265.sabcs25-ps3-06-17
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract PS3-06-17: Prognostic performance analysis of artificial intelligence test and 21-gene assay in premenopausal node-positive HR+ HER2- breast cancer patients

Khalil Choucair, Jailan A. Elayoubi, F. J. Esteva, K. Pogoda et al.
Clinical Cancer Research
Breast Cancer Treatment Studies
article

Abstract PS3-06-17: Prognostic performance analysis of artificial intelligence test and 21-gene assay in premenopausal node-positive HR+ HER2- breast cancer patients

Khalil Choucair, Jailan A. Elayoubi, F. J. Esteva, K. Pogoda, K. J. Geras, B. Machura, K. G. Zeng, J. Witowski, J. Cappadona, K. Kalinsky
article en

Abstract

Abstract Background: The RxPONDER trial was a landmark study demonstrating that the 21-gene Oncotype DX (ODX) assay can help avoid unnecessary adjuvant chemotherapy in postmenopausal women with 1-3 positive nodes (N+) and an ODX recurrence score (RS) ≤25. However, N+ premenopausal women with RS≤25 showed a significant but variable benefit to adjuvant chemotherapy despite low or intermediate ODX RS. Current NCCN guidelines therefore recommend ODX only as a consideration in this subgroup, leaving risk-adapted decision-making unresolved. Ataraxis Breast (ATX) is a multi-modal artificial intelligence test that integrates morphological features extracted from standard H&E-stained slides with baseline clinical data. Here we validate the prognostic accuracy of ATX in four premenopausal N+ cohorts. Methods: 150 premenopausal HR+/HER2- node-positive cases were extracted from Providence Health (n=48), TCGA (n=59), Basel (n=32) and Karmanos (n=11) cohorts. ATX recurrence scores were generated using a locked model. 43 patients (Basel and Karmanos cohorts) also had ODX RS available. Prognostic performance of ATX and ODX RS was assessed for disease-free interval (DFI) endpoint using Harrell’s C-index and hazard ratio (HR per 0.1 increase in ATX). Reported HR and C-index are pooled using random-effects meta-analysis. Results: In a univariate model, ATX was a significant predictor of DFI in premenopausal N+ women with a hazard ratio of 2.77 (1.53-5.01, p=0.02) and C-index of 0.78 (95% CI: 0.64-0.92). ODX did not reach statistical significance with a HR of 1.05 (1.00-1.10, p=0.05) and C-index of 0.46 (0.32-0.59). In multivariate analysis adjusting for age, tumor size and grade, ATX was the only variable significantly associated with DFI (p<0.01). The estimated 5-year recurrence rates for ATX bottom and top quartiles were 9.1% and 25.7%. When divided into exploratory low/high ATX risk groups with threshold at 10% 5-year risk of recurrence (RoR), the ATX <10% RoR group included 39 patients with an observed recurrence rate of 5%, while ATX ≥ 10% RoR included 111 patients with an observed recurrence rate of 16%. Conclusions: ATX demonstrates promising independent prognostic performance in premenopausal node-positive breast cancer across diverse datasets. Larger studies are needed to confirm its efficacy and utility. Citation Format: J. Elayoubi, K. Choucair, K. Kalinsky, K. Pogoda, F. J. Esteva, K. Zeng, J. Cappadona, B. Machura, K. J. Geras, J. Witowski. Prognostic performance analysis of artificial intelligence test and 21-gene assay in premenopausal node-positive HR+ HER2- breast cancer patients [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-06-17.

Clinical Cancer ResearchVol. 32(4_Supplement)
Emory University (US), Lenox Hill Hospital (US), The Barbara Ann Karmanos Cancer Institute (US), National Institute of Oncology (HU), Young Adult Institute (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 47%
Breast Cancer Treatment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.