The Prognostic Value of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Systematic Review and Meta-Analysis

PLoS One. 2016 Apr 13;11(4):e0152500. doi: 10.1371/journal.pone.0152500. eCollection 2016.

Abstract

Background: The prognostic values of tumor-infiltrating lymphocytes (TILs) and TILs subsets in breast cancer (BC) are uncertain.

Methods: A systematic literature search (MEDLINE, Web of Science, EMBASE, and the Cochrane Library to August 2014) was conducted for studies which met the eligibility criteria. The primary clinical outcome was defined as disease-free survival (DFS), overall survival (OS), and BC-specific survival (BCSS). Random or fixed-effects model was adopted to estimate the summary hazard ratio (HR).

Results: Twenty-five published studies comprising 22,964 patients were reviewed. Pooled analysis indicated that TILs were not prognostic markers for DFS and OS in overall population, but related to improved DFS (HR, 0.82; 95% CI, 0.76-0.88) and OS (HR, 0.79; 95% CI, 0.71-0.87) in triple negative breast cancer (TNBC) patients. For TILs subsets, CD8+ lymphocytes were associated with improved DFS (HR, 0.69; 95% CI, 0.56-0.84) and BCSS (HR, 0.78; 95% CI, 0.71-0.86) in overall population, while FOXP3+ lymphocytes were associated with reduced DFS (HR, 1.47; 95% CI, 1.01-2.05) and OS (HR, 1.50; 95% CI, 1.15-1.97). In estrogen receptor (ER) negative patients, CD8+ lymphocytes was also related to better BCSS. In addition, the high density of CD20+, CD3+ or low level of PD-1+ or γδ T lymphocytes indicated increased OS in limited studies.

Conclusion: TILs and TILs subsets are promising prognostic biomarkers in breast cancer, especially in TNBC.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Biomarkers, Tumor / analysis*
  • Breast Neoplasms / immunology*
  • Breast Neoplasms / pathology*
  • Female
  • Humans
  • Lymphocytes, Tumor-Infiltrating / immunology*
  • Lymphocytes, Tumor-Infiltrating / pathology
  • Prognosis

Substances

  • Biomarkers, Tumor

Grants and funding

The authors' work was supported by Doctor Innovation funding of Shanghai Jiao Tong University School of Medicine (BXJ201213), the National Natural funding of China (81202087, 81202088, and 81172520), Shanghai Municipal Science and Technology Commission funding (12ZR144640, 14411950200, 14411950201).