Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group

Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, Gupta R, Khiroya R, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvarado-Cabrero I, Amgad M, Azmoudeh-Ardalan F, Badve S, Baharun NB, Balslev E, Bellolio ER, Bheemaraju V, Blenman KR, Botinelly Mendonça Fujimoto L, Bouchmaa N, Burgues O, Chardas A, Chon U Cheang M, Ciompi F, Cooper LA, Coosemans A, Corredor G, Dahl AB, Dantas Portela FL, Deman F, Demaria S, Doré Hansen J, Dudgeon SN, Ebstrup T, Elghazawy M, Fernandez-Martín C, Fox SB, Gallagher WM, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hart SN, Hartman J, Hauberg S, Hewitt S, Hida AI, Horlings HM, Husain Z, Hytopoulos E, Irshad S, Janssen EA, Kahila M, Kataoka TR, Kawaguchi K, Kharidehal D, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Kovács A, Laenkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Ly A, Madabhushi A, Maley SK, Manur Narasimhamurthy V, Marks DK, McDonald ES, Mehrotra R, Michiels S, Minhas FuAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rahman A, Rajpoot NM, Rapoport BL, Rau TT, Reis-Filho JS, Ribeiro JM, Rimm D, Roslind A, Vincent-Salomon A, Salto-Tellez M, Saltz J, Sayed S, Scott E, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Fineberg S, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, van Diest PJ, Verghese GE, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Zin RM, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Specht Stovgaard E (2023)


Publication Language: English

Publication Type: Journal article, Review article

Publication year: 2023

Journal

Book Volume: 260

Pages Range: 498-513

Journal Issue: 5

DOI: 10.1002/path.6155

Abstract

The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. We categorize our findings into four main topics: (1) technical slide issues, (2) ML and image analysis aspects, (3) data challenges, and (4) validation issues. The main reason for discordant assessments is the inclusion of false-positive areas or cells identified by performance on certain tissue patterns or design choices in the computational implementation. To aid the adoption of ML for TIL assessment, we provide an in-depth discussion of ML and image analysis, including validation issues that need to be considered before reliable computational reporting of TILs can be incorporated into the trial and routine clinical management of patients with triple-negative breast cancer. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Authors with CRIS profile

Involved external institutions

Kuala Lumpur Hospital MY Malaysia (MY) New York University (NYU) US United States (USA) (US) University of Edinburgh GB United Kingdom (GB) Philipps-Universität Marburg DE Germany (DE) Peter MacCallum Cancer Centre AU Australia (AU) GZA Ziekenhuizen BE Belgium (BE) Copenhagen University Hospital DK Denmark (DK) Karolinska Institute SE Sweden (SE) National Cancer Institute (NCI) US United States (USA) (US) Centro Medico Nacional Siglo XXI MX Mexico (MX) Northwestern University US United States (USA) (US) Tehran University of Medical Sciences (TUMS) / دانشگاه علوم پزشکی تهران IR Iran, Islamic Republic of (IR) Emory University US United States (USA) (US) The National University of Malaysia / Universiti Kebangsaan Malaysia (UKM) MY Malaysia (MY) University of the Frontier / Universidad de La Frontera (UFRO) CL Chile (CL) Université Mohammed VI Polytechnique (UM6P) MA Morocco (MA) Radboud University Nijmegen Medical Centre / Radboudumc of voluit Radboud Universitair Medisch Centrum (UMC) NL Netherlands (NL) Katholieke Universiteit Leuven (KUL) / Catholic University of Leuven BE Belgium (BE) Technical University of Denmark / Danmarks Tekniske Universitet (DTU) DK Denmark (DK) Hospital Universitário Getúlio Vargas (HUGV) BR Brazil (BR) Visiopharm A/S DK Denmark (DK) Yale University US United States (USA) (US) University of Surrey GB United Kingdom (GB) Polytechnic University of Valencia / Universidad Politécnica de Valencia ES Spain (ES) The University of Melbourne AU Australia (AU) University College Dublin (UCD) IE Ireland (IE) Genentech Inc. US United States (USA) (US) Icahn School of Medicine at Mount Sinai US United States (USA) (US) King’s College London GB United Kingdom (GB) Deutsches Krebsforschungszentrum (DKFZ) DE Germany (DE) Memorial Sloan Kettering Cancer Center US United States (USA) (US) Case Western Reserve University US United States (USA) (US) Matsuyama Shimin Hospital / 松山市民病院 JP Japan (JP) Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital (NKI / NKI-AVL) NL Netherlands (NL) Praava Health BD Bangladesh (BD) iRhythm Technologies, Inc. US United States (USA) (US) Guy's and St Thomas' (NHS Foundation Trust) GB United Kingdom (GB) Sahlgrenska University Hospital / Sahlgrenska Universitetssjukhuset SE Sweden (SE) Sjællands Universitetshospital, Roskilde DK Denmark (DK) Institut Jules Bordet BE Belgium (BE) Massachusetts General Hospital US United States (USA) (US) Mines ParisTech / École Nationale Supérieure des Mines de Paris (ENSMP) FR France (FR) Manipal Hospitals India IN India (IN) University of Pennsylvania (UPenn) US United States (USA) (US) ICGA Foundation IN India (IN) Institut Gustave-Roussy FR France (FR) University of Warwick GB United Kingdom (GB) Ziauddin University (ZU) PK Pakistan (PK) Centre Jean-Perrin (UNICANCER) FR France (FR) University of Washington US United States (USA) (US) University College London (UCL) GB United Kingdom (GB) All India Institute of Medical Sciences Raipur (AIIMS) / अखिल भारतीय आयुर्विज्ञान संस्थान रायपुर IN India (IN) Heinrich-Heine-Universität Düsseldorf DE Germany (DE) Bristol-Myers Squibb US United States (USA) (US) Fondazione IRCCS: Istituto Nazionale dei Tumori IT Italy (IT) Medical Oncology Centre of Rosebank ZA South Africa (ZA) Universitätsklinikum Heidelberg DE Germany (DE) King Hussein Cancer Center (KHCC) / مركز الحسين للسرطان JO Jordan (JO) Cardiovascular Research Foundation US United States (USA) (US) University of Texas MD Anderson Cancer Center US United States (USA) (US) Kyoto University / 京都大学 Kyōto daigaku JP Japan (JP) Tempus Labs US United States (USA) (US) Mayo Clinic Hospital US United States (USA) (US) Aarhus University Hospital / Aarhus Universitetshospital DK Denmark (DK) Sunnybrook Health Sciences Centre CA Canada (CA) University Medical Centre Utrecht (UMC Utrecht) NL Netherlands (NL) European Institute of Oncology / Istituto Europeo di Oncologia (IEO) IT Italy (IT) CellCarta CA Canada (CA) Fudan University / 复旦大学 CN China (CN) Institut Curie FR France (FR) The Institute of Cancer Research (ICR) GB United Kingdom (GB) State University of New York at Albany (UNY Albany / UAlbany) US United States (USA) (US) Aga Khan University (AKU) / آغا خان یونیورسٹی‎ PK Pakistan (PK) University College Hospital GB United Kingdom (GB) Merck & Co., Inc. / Merck Sharp & Dohme Corp (MSD) US United States (USA) (US) Narayana Medical College & Hospital IN India (IN) Federal University of Amazonas / Universidade Federal do Amazonas (UFAM) BR Brazil (BR) Hospital Clínico Universitario de Valencia ES Spain (ES) University of London GB United Kingdom (GB) Weill Cornell Medicine US United States (USA) (US) Vanderbilt University US United States (USA) (US) Mayo Clinic US United States (USA) (US) Iuliu Hațieganu University of Medicine and Pharmacy / Universitatea de Medicină și Farmacie "Iuliu Hațieganu" (UMF Cluj) RO Romania (RO) Earle A. Chiles Research Institute at the Robert W. Franz Cancer Center US United States (USA) (US) University of British Columbia CA Canada (CA) Stavanger University Hospital NO Norway (NO) Iwate Medical University JP Japan (JP) Ann & Robert H. Lurie Children's Hospital of Chicago US United States (USA) (US) Aakash Healthcare Super Speciality Hospital IN India (IN) F. Hoffmann-La Roche Ltd CH Switzerland (CH) Georgia Institute of Technology US United States (USA) (US) National Surgical Adjuvant Breast and Bowel Project Foundation (NSABP) US United States (USA) (US) University of Birmingham GB United Kingdom (GB)

How to cite

APA:

Thagaard, J., Broeckx, G., Page, D.B., Jahangir, C.A., Verbandt, S., Kos, Z.,... Specht Stovgaard, E. (2023). Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group. Journal of Pathology, 260(5), 498-513. https://doi.org/10.1002/path.6155

MLA:

Thagaard, Jeppe, et al. "Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group." Journal of Pathology 260.5 (2023): 498-513.

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