JoVE - Journal of Visualized Experiments
JoVE Visualize
Contact Us

Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer Predicted by CD4+, CD8+, and FOXP3+ Tumor-Infiltrating Lymphocytes

  • 0Department of Anatomic Pathology, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Hospital, Jakarta, Indonesia.
Asian Pacific Journal of Cancer Prevention : Apjcp +

|

May 29, 2024

|

May 29, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Tumor-infiltrating lymphocytes (TILs), including CD4+, CD8+, and FOXP3+ TILs, show potential as biomarkers for predicting invasive breast cancer response to neoadjuvant chemotherapy. FOXP3+ TILs demonstrated particular dominance in predictive models.

Area Of Science

  • Oncology
  • Immunology
  • Biomarker Discovery

Background

  • Monitoring neoadjuvant chemotherapy (NC) response in invasive breast cancer (IBC) is crucial.
  • Tumor-infiltrating lymphocytes (TILs), specifically CD4+, CD8+, and FOXP3+ TILs, are emerging as potential biomarkers.
  • NC can modulate the anti-tumor immune response within the tumor microenvironment.

Purpose Of The Study

  • To explore the potential of CD4+, CD8+, and FOXP3+ TIL components as predictive biomarkers for NC pathological response in IBC.
  • To evaluate the relationship between TIL expression and the Miller-Payne grading system.

Main Methods

  • Analysis of 40 IBC samples examining CD4+, CD8+, and FOXP3+ TIL expression via IHC staining.
  • Correlation of TIL expression with the Miller-Payne (MP) grading system.
  • Univariate and multivariate analyses were performed on TIL data and other clinicopathological factors (Age, tumour grade, PR, ER, Ki-67, HER2).

Main Results

  • Significant univariate relationships were found between CD4+ TIL and MP (p<0.001), CD8+ TIL and MP (p=0.004), and FOXP3+ TIL and MP (p<0.001).
  • A combined model of all three TIL types was not sufficiently predictive.
  • Exploratory models combining two TIL types showed significant predictive value, with CD4+CD8+ (model 2) and CD8+FOXP3+ (model 4) demonstrating significant coefficients; model 4 showed significant threshold coefficients.

Conclusions

  • CD4+, CD8+, and FOXP3+ TILs show promise as predictive biomarkers for pathological response to NC in IBC.
  • FOXP3+ TILs emerged as a dominant predictor in the evaluated models.
  • Further validation is warranted to establish these TILs as reliable clinical biomarkers.

Keywords: