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July 23, 2025CancersOpen Access

Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images

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Authors

HKHikmat KhanThe Ohio State UniversityZSZiyu SuThe Ohio State University Wexner Medical CenterHZHuina ZhangWenzhou Medical University

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Overview

Attention-based model predicts pathologic complete response in triple-negative breast cancer, highlighting biomarkers' roles in treatment responses.

Key Points

  • The model predicts neoadjuvant chemotherapy response in triple-negative breast cancer using histopathologic images.
  • Training involved 174 patients, achieving an area under the curve of 0.85 for predictive performance during validation.
  • Attention maps correlate with immune markers, indicating their relevance to treatment response in patients.
  • This work enhances understanding of biomarkers and supports personalized treatment in precision oncology.

Cite This Study

Khan et al. (2025) studied this question.

synapsesocial.com/papers/689a061be6551bb0af8cda95https://doi.org/10.3390/cancers17152423
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