Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

Research output: Contribution to journalArticle


Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come about thanks to standardized visual reporting guidelines, which helped to reduce inter-reader variability. Now, there are ripe opportunities to employ computational methods that extract spatio-morphologic predictive features, enabling computer-aided diagnostics. We detail the benefits of computational TILs assessment, the readiness of TILs scoring for computational assessment, and outline considerations for overcoming key barriers to clinical translation in this arena. Specifically, we discuss: 1. ensuring computational workflows closely capture visual guidelines and standards; 2. challenges and thoughts standards for assessment of algorithms including training, preanalytical, analytical, and clinical validation; 3. perspectives on how to realize the potential of machine learning models and to overcome the perceptual and practical limits of visual scoring.


  • Mohamed Amgad
  • Lee A. D. Cooper
  • International Immuno-Oncology Biomarker Working Group
  • Anna Ehinger (Contributor)
External organisations
  • Emory University
  • Northwestern University Feinberg School of Medicine
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology
Original languageEnglish
Article number16
Journalnpj Breast Cancer
Issue number16
Publication statusPublished - 2020 May 12
Publication categoryResearch

Related research output

Kos, Z., Roblin, E., Kim, R. S., Michiels, S., Gallas, B. D., Chen, W., van de Vijver, K. K., Goel, S., Adams, S., Demaria, S., Viale, G., Nielsen, T. O., Badve, S. S., Symmans, W. F., Sotiriou, C., Rimm, D. L., Hewitt, S., Denkert, C., Loibl, S., Ehinger, A. & 1 others, Salgado, R., 2020 May 12, In : npj Breast Cancer. 6, 17.

Research output: Contribution to journalArticle

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