Predictive Factors of Neoadjuvant Chemotherapy Response in Breast Cancer Validated by Three Anatomopathological Scores: Residual Cancer Burden, Chevallier System, and Tumor-Infiltrating Lymphocytes

  • 0Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", Bucharest, ROU.

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Summary

This summary is machine-generated.

Predictors of neoadjuvant therapy response in breast cancer were identified. Younger age, premenopausal status, high Ki67, and triple-negative breast cancer predict a positive response, aiding treatment decisions.

Area Of Science

  • Oncology
  • Pathology
  • Medical Research

Background

  • Neoadjuvant therapy is crucial for breast cancer treatment.
  • Predicting response to neoadjuvant therapy is essential for personalized treatment strategies.
  • Accurate assessment of treatment response is vital for patient outcomes.

Purpose Of The Study

  • To identify and validate predictors of response to neoadjuvant therapy in breast cancer.
  • To correlate predictors with established scoring systems like RCB, Chevallier, and TIL.
  • To enhance the understanding of factors influencing neoadjuvant chemotherapy effectiveness.

Main Methods

  • Retrospective observational study of 88 female breast cancer patients.
  • Analysis of patient demographics, clinical/imaging features, biomarkers (ER/PR/HER2, Ki67), and histopathology.
  • Validation of predictors using Residual Cancer Burden (RCB) score, Chevallier system, and Tumor-Infiltrating Lymphocytes (TIL) score.

Main Results

  • Younger age (<49), premenopausal status, no special type (NST) carcinoma, high Ki67, and triple-negative breast cancer (TNBC) are positive predictors.
  • Lobular/mixt carcinoma, luminal A subtype, positive lymph nodes, and low differentiation grade are negative predictors.
  • The percentage of patients eligible for conservative surgery increased significantly post-neoadjuvant therapy.

Conclusions

  • A strong correlation exists between RCB score and Chevallier system in quantifying neoadjuvant therapy response.
  • Most identified predictive factors were statistically validated for both scoring systems.
  • TIL score correlation was limited, suggesting the need for its assessment on both biopsy and resection specimens.