What question did this study set out to answer?

The aim is to develop an AI model that enhances predictions of hormonal therapy response and chemotherapy benefit in ER+/HER2- breast cancer.

February 22, 2026Clinical Cancer Research

Abstract PS3-06-24: Transcriptomics-guided AI outperforms and expands on OncotypeDX to predict Hormonal therapy response and Chemotherapy benefit from H&E-stained Whole Slide images in ER+/HER2- Breast Cancer

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The aim is to develop an AI model that enhances predictions of hormonal therapy response and chemotherapy benefit in ER+/HER2- breast cancer.
Developed an AI model utilizing cross-modality transfer learning from H&E-stained whole slide images.
Created biomarkers for predicting hormonal therapy response and chemotherapy failure using genomic data.
Conducted external validation on 300 breast cancer patient samples using predictive models and Kaplan-Meier survival estimation.
The AI model identified 73% of patients with low ODX scores who metastasized after hormonal therapy alone.
The model effectively predicted chemotherapy failure with a hazard ratio of 2.42 for those treated with both hormonal therapy and chemotherapy.
Combining ODX scores with the AI model improved prediction accuracy for treatment response.

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Implication

AI technology predicts hormonal therapy response and chemotherapy benefit in early stage ER+/HER2- breast cancer, suggesting improved patient stratification.

Cite This Study

Muhammad et al. (2026) studied this question.

synapsesocial.com/papers/699a9da0482488d673cd396b https://doi.org/10.1158/1557-3265.sabcs25-ps3-06-24

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Implication

AI technology predicts hormonal therapy response and chemotherapy benefit in early stage ER+/HER2- breast cancer, suggesting improved patient stratification.

Abstract PS3-06-24: Transcriptomics-guided AI outperforms and expands on OncotypeDX to predict Hormonal therapy response and Chemotherapy benefit from H&E-stained Whole Slide images in ER+/HER2- Breast Cancer

Key Points

Discussion

Implication

Cite This Study

Abstract PS3-06-24: Transcriptomics-guided AI outperforms and expands on OncotypeDX to predict Hormonal therapy response and Chemotherapy benefit from H&E-stained Whole Slide images in ER+/HER2- Breast Cancer

Key Points

Discussion

Implication

Cite This Study

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