Elsevier

Annals of Oncology

Volume 26, Issue 2, February 2015, Pages 259-271
Annals of Oncology

reviews
The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014

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ABSTRACT

Evidence is strengthening for the morphological evaluation of tumor infiltrating lymphocytes (TILs) in breast cancer. Herein, the concepts for TILs assessment are laid out by pathologists to facilitate their wider evaluation and consistent interpretation. The goal of this article is to promote the evaluation of TILs as a biomarker in research, clinical trial settings and day-to-day practice.

Background

The morphological evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer (BC) is gaining momentum as evidence strengthens for the clinical relevance of this immunological biomarker. Accumulating evidence suggests that the extent of lymphocytic infiltration in tumor tissue can be assessed as a major parameter by evaluation of hematoxylin and eosin (H&E)-stained tumor sections. TILs have been shown to provide prognostic and potentially predictive value, particularly in triple-negative and human epidermal growth factor receptor 2-overexpressing BC.

Design

A standardized methodology for evaluating TILs is now needed as a prerequisite for integrating this parameter in standard histopathological practice, in a research setting as well as in clinical trials. This article reviews current data on the clinical validity and utility of TILs in BC in an effort to foster better knowledge and insight in this rapidly evolving field, and to develop a standardized methodology for visual assessment on H&E sections, acknowledging the future potential of molecular/multiplexed approaches.

Conclusions

The methodology provided is sufficiently detailed to offer a uniformly applied, pragmatic starting point and improve consistency and reproducibility in the measurement of TILs for future studies.

Key words

tumor-infiltrating lymphocytes (TILs)
breast cancer (BC)
prognosis
prediction
clinical validity

Cited by (0)

These authors contributed equally to this manuscript.