Prognostic and predictive capacity of tumor infiltrating lymphocytes in the MA.20 regional node radiotherapy trial

Prognostic and predictive value of immune infiltrates in the context of regional nodal radiation (RNI) for breast cancer has not been assessed. Stromal tumor infiltrating lymphocytes (sTILs) were assessed on scanned images of hematoxylin and eosin (H&E) stained sections and by CD8 immunohistochemistry on tissue microarrays available from the MA.20 trial. Cox proportional modelling was used, and hazard ratios (HR) with 95% confidence intervals (CI) are reported for primary and secondary endpoints. Predictive value was assessed by an interaction test. H&E sTILs (continuous parameter) were prognostic for distant-DFS (HR 0.99, 95% CI 0.98-1.00, P = 0.04). CD8+sTILs were associated with significantly improved disease-free survival (DFS) (HR 0.99, 95% CI 0.98-1.00, P = 0.02) and distant-DFS (HR 0.98, 95% CI 0.97-0.99, P = 0.0002). CD8+sTILs was predictive of benefit from RNI for distant-DFS (continuous variable: HR 0.98, 95% CI 0.96-1.00, P<sub>(interaction)</sub> = 0.04; exploratory categorical variable: CD8+ sTILs < 44, HR = 0.83; 95% CI 0.57-1.21, and CD8+ sTILs ≥ 44; HR 0.09; 95% CI 0.01-0.74, P<sub>(interaction)</sub> = 0.04). In MA.20 breast cancer patients, pre-treatment sTILs were prognostic for DFS (CD8+sTILs) and distant-DFS. CD8+sTILs also appeared to be predictive for the effectiveness of RNI on distant-DFS, suggesting that immune mechanisms may in part be responsible and merits further investigation.

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Publication Details

Journal
npj Breast Cancer
Published
2025-08-29
DOI
https://doi.org/10.1038/s41523-025-00821-z
Citations
2
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
2.09

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article

Prognostic and predictive capacity of tumor infiltrating lymphocytes in the MA.20 regional node radiotherapy trial

Anita Bane, S. Chambers, Elisabeth Specht Stovgaard, Bingshu E. Chen et al.
2 citations
npj Breast Cancer
Cancer Immunotherapy and Biomarkers
2.09
article

Prognostic and predictive capacity of tumor infiltrating lymphocytes in the MA.20 regional node radiotherapy trial

Anita Bane, S. Chambers, Elisabeth Specht Stovgaard, Bingshu E. Chen, Timothy Joseph Whelan, Dongxia Gao, Zuzana Kos, Wendy R. Parulekar, Torsten O. Nielsen, Elahe Shenasa, SK Leung, Nazia Riaz
article en
2 citations

Abstract

Prognostic and predictive value of immune infiltrates in the context of regional nodal radiation (RNI) for breast cancer has not been assessed. Stromal tumor infiltrating lymphocytes (sTILs) were assessed on scanned images of hematoxylin and eosin (H&E) stained sections and by CD8 immunohistochemistry on tissue microarrays available from the MA.20 trial. Cox proportional modelling was used, and hazard ratios (HR) with 95% confidence intervals (CI) are reported for primary and secondary endpoints. Predictive value was assessed by an interaction test. H&E sTILs (continuous parameter) were prognostic for distant-DFS (HR 0.99, 95% CI 0.98-1.00, P = 0.04). CD8+sTILs were associated with significantly improved disease-free survival (DFS) (HR 0.99, 95% CI 0.98-1.00, P = 0.02) and distant-DFS (HR 0.98, 95% CI 0.97-0.99, P = 0.0002). CD8+sTILs was predictive of benefit from RNI for distant-DFS (continuous variable: HR 0.98, 95% CI 0.96-1.00, P<sub>(interaction)</sub> = 0.04; exploratory categorical variable: CD8+ sTILs < 44, HR = 0.83; 95% CI 0.57-1.21, and CD8+ sTILs ≥ 44; HR 0.09; 95% CI 0.01-0.74, P<sub>(interaction)</sub> = 0.04). In MA.20 breast cancer patients, pre-treatment sTILs were prognostic for DFS (CD8+sTILs) and distant-DFS. CD8+sTILs also appeared to be predictive for the effectiveness of RNI on distant-DFS, suggesting that immune mechanisms may in part be responsible and merits further investigation.

npj Breast CancerVol. 11(1)
University of Copenhagen (DK), University Health Network (CA), University of British Columbia (CA), Queen's University (CA), Juravinski Cancer Centre (CA), Gentofte Hospital (DK), University of Gothenburg (SE), McMaster University (CA)
Canadian Cancer Society, Göteborgs Universitet
Openalex Percentile: Top 11%
Cancer Immunotherapy and Biomarkers
2.09
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