Tumor-infiltrating immune cell profiles and their change after neoadjuvant chemotherapy predict response and prognosis of breast cancer
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  • 作者:Elena García-Martínez (1)
    Ginés Luengo Gil (1)
    Asunción Chaves Benito (2)
    Enrique González-Billalabeitia (1)
    María Angeles Vicente Conesa (1)
    Teresa García García (1)
    Elisa García-Garre (1)
    Vicente Vicente (1) (3)
    Francisco Ayala de la Pe?a (1)
  • 刊名:Breast Cancer Research
  • 出版年:2014
  • 出版时间:December 2014
  • 年:2014
  • 卷:16
  • 期:6
  • 全文大小:1,646 KB
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  • 作者单位:Elena García-Martínez (1)
    Ginés Luengo Gil (1)
    Asunción Chaves Benito (2)
    Enrique González-Billalabeitia (1)
    María Angeles Vicente Conesa (1)
    Teresa García García (1)
    Elisa García-Garre (1)
    Vicente Vicente (1) (3)
    Francisco Ayala de la Pe?a (1)

    1. Department of Hematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
    2. Department of Pathology, University Hospital Morales Meseguer, Murcia, Spain
    3. Centro Regional de Hemodonación, Murcia, Spain
  • ISSN:1465-5411
文摘
Introduction Tumor microenvironment immunity is associated with breast cancer outcome. A high lymphocytic infiltration has been associated with response to neoadjuvant chemotherapy, but the contribution to response and prognosis of immune cell subpopulations profiles in both pre-treated and post-treatment residual tumor is still unclear. Methods We analyzed pre- and post-treatment tumor-infiltrating immune cells (CD3, CD4, CD8, CD20, CD68, Foxp3) by immunohistochemistry in a series of 121 breast cancer patients homogeneously treated with neoadjuvant chemotherapy. Immune cell profiles were analyzed and correlated with response and survival. Results We identified three tumor-infiltrating immune cell profiles, which were able to predict pathological complete response (pCR) to neoadjuvant chemotherapy (cluster B: 58%, versus clusters A and C: 7%). A higher infiltration by CD4 lymphocytes was the main factor explaining the occurrence of pCR, and this association was validated in six public genomic datasets. A higher chemotherapy effect on lymphocytic infiltration, including an inversion of CD4/CD8 ratio, was associated with pCR and with better prognosis. Analysis of the immune infiltrate in post-chemotherapy residual tumor identified a profile (cluster Y), mainly characterized by high CD3 and CD68 infiltration, with a worse disease free survival. Conclusions Breast cancer immune cell subpopulation profiles, determined by immunohistochemistry-based computerized analysis, identify groups of patients characterized by high response (in the pre-treatment setting) and poor prognosis (in the post-treatment setting). Further understanding of the mechanisms underlying the distribution of immune cells and their changes after chemotherapy may contribute to the development of new immune-targeted therapies for breast cancer.

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