Infiltration of γ⁢δ T cells, IL-17+ T cells and FoxP3+ T cells in human breast cancer

Cancer Biomark. 2017 Dec 8;20(4):395-409. doi: 10.3233/CBM-170026.

Abstract

Background: Tumor-infiltrating lymphocytes (TILs) have a strong prognostic value in various forms of cancers. These data often refer to use of the pan-T cell marker CD3, or the cytotoxic T lymphocyte marker CD8α. However, T cells are a heterogeneous group of cells with a wide array of effector mechanisms ranging from immunosuppression to cytotoxicity.

Objective: In this study we have investigated the prognostic effects of some unconventional T cell subtypes in breast cancer; γ⁢δ T cells, IL-17+ T cells and FoxP3+ T cells (Tregs) in relation to the conventional CD3 and CD8α T cell markers.

Methods: This was done using immunohistochemistry on a human breast cancer tissue microarray consisting of 498 consecutive cases of primary breast cancer.

Results: Infiltration of γ⁢δ T cells and T cell infiltration in general (CD3), correlated with a good prognosis, while Treg infiltration with a worse. Infiltration of γ⁢δ T cells was associated with a significantly improved clinical outcome in all breast cancer subtypes except triple negative tumors. Only infiltration of either CD3+ or CD8α+ cells was independently associated with better prognosis for all breast cancer patients.

Conclusions: This study sheds further light on the prognostic impact of various T cell subtypes in breast cancer.

Keywords: Breast cancer; T lymphocytes; TILs; prognosis; unconventional T cells.

MeSH terms

  • Antineoplastic Agents, Hormonal / therapeutic use
  • Breast Neoplasms / drug therapy
  • Breast Neoplasms / immunology*
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / mortality
  • Chemotherapy, Adjuvant
  • Disease-Free Survival
  • Female
  • Forkhead Transcription Factors / metabolism
  • Humans
  • Kaplan-Meier Estimate
  • Lymphocytes, Tumor-Infiltrating / immunology*
  • Lymphocytes, Tumor-Infiltrating / metabolism
  • Middle Aged
  • Multivariate Analysis
  • Proportional Hazards Models
  • Receptors, IgG / metabolism
  • Th17 Cells / immunology*
  • Th17 Cells / metabolism

Substances

  • Antineoplastic Agents, Hormonal
  • FOXP3 protein, human
  • Forkhead Transcription Factors
  • Receptors, IgG