Abstract
Purpose
Whether peripheral immune cell subsets can predict pathological complete response (pCR) in breast cancer patients remains to be elucidated. We aimed to dissect the relationship between peripheral immune cell subsets and pCR.
Methods
Two hundred and twenty-six eligible patients from two prospective clinical trials (SHPD001 and SHPD002) in China were randomly divided into a training cohort and a validation cohort. The breast cancer subtypes in this study included hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative (n = 95), HER2-positive (n = 100), and triple negative (n = 31) breast cancer. We defined the “Neo-Peripheral Adaptive Immune Score” for neoadjuvant chemotherapy (neoPAI Score) based on the percentages of CD4 + T cells, CD8 + T cells, B cells, and the CD4 + /CD8 + ratio in peripheral blood. We also evaluated the ability of the neoPAI Score derived from tumor-infiltrating immune cells (TIICs) to predict survival by employing The Cancer Genome Atlas-Breast Cancer (TCGA-BRCA) database.
Results
In the training cohort, multivariate analysis showed that HR status [odds ratio (OR) 0.325; 95% confidence interval (CI) 0.135–0.761; P = 0.010], HER2 status (OR 2.657; 95% CI 1.266–5.730; P = 0.011), Ki67 index (OR 3.191; 95% CI 1.509–6.956; P = 0.003), histological grade (OR 2.297; 95% CI 1.031–5.290; P = 0.045) and neoPAI Score (OR 4.451; 95% CI 1.608–13.068; P = 0.005) were independent predictors of pCR. In the validation cohort, histological grade (OR 3.779; 95% CI 3.793–1.136 × 103; P = 0.008) and neoPAI Score (OR 90.828; 95% CI 3.827–9.843 × 103; P = 0.019) were independent predictors of pCR. The Immune Model that integrated the neoPAI Score was more accurate in predicting pCR than the Clinical Model that exclusively contained clinicopathological parameters in both cohorts. In TCGA-BRCA database, the neoPAI Score constructed from TIICs can predict the progression-free interval (P = 0.048) of breast cancer.
Conclusion
The neoPAI Score defined by the percentages of peripheral immune cell subsets could be used as a potential biomarker for neoadjuvant chemotherapy efficacy.
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Data availability
Data are contained within the article, supplementary materials and from the corresponding author upon request.
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Funding
This work was supported by the Shanghai Sailing Program (Grant No. 22YF1424500), National Natural Science Foundation of China (Grant No. 82103695), Clinical Research Plan of Shanghai Hospital Development Center (Grant No. SHDC2020CR3003A), Science and Technology Commission of Shanghai Municipality (Grant No. 20DZ2201600), Shanghai Municipal Key Clinical Specialty, Shanghai Rising-Star Program (Grant No. 22QC1400200), Multidisciplinary Cross Research Foundation of Shanghai Jiao Tong University (Grant No. YG2019QNA28), Nurturing Fund of Renji Hospital (Grant Nos. PYIII20-09 and RJPY-LX-002), Clinical Research Innovation Nurturing Fund of Renji Hospital and United Imaging (Grant No. 2021RJLY-002).
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HW, YW, WY and JL: conceptualization, HW, YW and XS: methodology, YX, TY, JZ and YL: investigation, HW: formal analysis, HW and XS: writing—original draft preparation, HW, YW, WY and JL: writing—review and editing, YY, SX, LZ, WY and JL: supervision. All authors have read and agreed to the published version of the manuscript.
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Wang, H., Sheng, X., Yan, T. et al. Neo-peripheral adaptive immune score predicts neoadjuvant chemotherapy for locally advanced breast cancer. Breast Cancer Res Treat 197, 343–354 (2023). https://doi.org/10.1007/s10549-022-06791-1
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DOI: https://doi.org/10.1007/s10549-022-06791-1