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

Mohamed Amgad Elisabeth Specht Stovgaard Eva Balslev 1 Jeppe Thagaard Weijie Chen Sarah Dudgeon Ashish Sharma 2 Jennifer Kerner 3 Carsten Denkert 4 Yinyin Yuan Khalid Abduljabbar Stephan Wienert Peter Savas Leonie Voorwerk Andrew Beck Anant Madabhushi Johan Hartman Manu Sebastian Hugo Horlings 5 Jan Hudeček Francesco Ciompi David Moore 6 Rajendra Singh Elvire Roblin Marcelo Luiz Balancin Marie-Christine Mathieu 7 Jochen Lennerz Pawan Kirtani I-Chun Chen Jeremy Braybrooke Giancarlo Pruneri 8 Sandra Demaria Sylvia Adams Stuart Schnitt Sunil Lakhani 9 Federico Rojo 10 Laura Comerma Sunil Badve Mehrnoush Khojasteh W Fraser Symmans Christos Sotiriou 11 Paula Gonzalez-Ericsson Katherine Pogue-Geile Rim Kim David Rimm Giuseppe Viale 12 Stephen Hewitt John Bartlett 13 Frédérique Penault-Llorca 14, 15 Shom Goel Huang-Chun Lien Sibylle Loibl 16 Zuzana Kos Sherene Loi 17 Matthew Hanna Stefan Michiels 18 Marleen Kok 19 Torsten Nielsen Alexander Lazar 20 Zsuzsanna Bago-Horvath 21 Loes Kooreman Jeroen van der Laak Joel Saltz Brandon Gallas Uday Kurkure 22 Michael Barnes Roberto Salgado 17 Lee Cooper W. Fraser Symmans
Abstract : 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.
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Contributor : Mouniati Colo <>
Submitted on : Friday, June 26, 2020 - 2:45:46 PM
Last modification on : Thursday, July 9, 2020 - 3:36:27 AM

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Mohamed Amgad, Elisabeth Specht Stovgaard, Eva Balslev, Jeppe Thagaard, Weijie Chen, et al.. Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group. npj Breast Cancer, 2020, 6 (1), pp.16. ⟨10.1038/s41523-020-0154-2⟩. ⟨hal-02882162⟩



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