Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

Thagaard, Jeppe; Broeckx, Glenn; B Page, David; Arif Jahangir, Chowdhury; Verbandt, Sara; Kos, Zuzana; Gupta, Rajarsi; Khiroya, Reena; Abduljabbar, Khalid; Acosta Haab, Gabriela; Acs, Balazs; Akturk, Guray; S Almeida, Jonas; Alvarado‐Cabrero, Isabel; Amgad, Mohamed; Azmoudeh‐Ardalan, Farid; Badve, Sunil; Bariyah Baharun, Nurkhairul; Balslev, Eva; R Bellolio, Enrique; Bheemaraju, Vydehi; RM Blenman, Kim; Botinelly Mendonça Fujimoto, Luciana; Bouchmaa, Najat; Burgues, Octavio; Chardas, Alexandros; Chon U Cheang, Maggie; Ciompi, Francesco; AD Cooper, Lee; Coosemans, An; Corredor, Germán; B Dahl, Anders; Luis Dantas Portela, Flavio; Deman, Frederik; Demaria, Sandra; Doré Hansen, Johan; N Dudgeon, Sarah; Ebstrup, Thomas; Elghazawy, Mahmoud; Fernandez‐Martín, Claudio; B Fox, Stephen; M Gallagher, William; M Giltnane, Jennifer; Gnjatic, Sacha; I Gonzalez‐Ericsson, Paula; Grigoriadis, Anita; Halama, Niels; G Hanna, Matthew; Harbhajanka, Aparna; N Hart, Steven; Hartman, Johan; Hauberg, Søren; Hewitt, Stephen; I Hida, Akira; M Horlings, Hugo; Husain, Zaheed; Hytopoulos, Evangelos; Irshad, Sheeba; AM Janssen, Emiel; Kahila, Mohamed; R Kataoka, Tatsuki; Kawaguchi, Kosuke; Kharidehal, Durga; I Khramtsov, Andrey; Kiraz, Umay; Kirtani, Pawan; L Kodach, Liudmila; Korski, Konstanty; Kovács, Anikó; Laenkholm, Anne‐Vibeke; Lang‐Schwarz, Corinna; Larsimont, Denis; K Lennerz, Jochen; Lerousseau, Marvin; Li, Xiaoxian; Ly, Amy; Madabhushi, Anant; K Maley, Sai; Manur Narasimhamurthy, Vidya; K Marks, Douglas; S McDonald, Elizabeth; Mehrotra, Ravi; Michiels, Stefan; ul Amir Afsar Minhas, Fayyaz; Mittal, Shachi; A Moore, David; Mushtaq, Shamim; Nighat, Hussain; Papathomas, Thomas; Penault‐Llorca, Frederique; D Perera, Rashindrie; J Pinard, Christopher; Carlos Pinto‐Cardenas, Juan; Pruneri, Giancarlo; Pusztai, Lajos; Rahman, Arman; Mahmood Rajpoot, Nasir; Leon Rapoport, Bernardo; T Rau, Tilman; S Reis‐Filho, Jorge; M Ribeiro, Joana; Rimm, David; Roslind, Anne; Vincent‐Salomon, Anne; Salto‐Tellez, Manuel; Saltz, Joel; Sayed, Shahin; Scott, Ely; P Siziopikou, Kalliopi; Sotiriou, Christos; Stenzinger, Albrecht; A Sughayer, Maher; Sur, Daniel; Fineberg, Susan; Symmans, Fraser; Tanaka, Sunao; Taxter, Timothy; Tejpar, Sabine; Teuwen, Jonas; Aubrey Thompson, E; Tramm, Trine; T Tran, William; van der Laak, Jeroen; J van Diest, Paul; E Verghese, Gregory; Viale, Giuseppe; Vieth, Michael; Wahab, Noorul; Walter, Thomas; Waumans, Yannick; Y Wen, Hannah; Yang, Wentao; Yuan, Yinyin; Md Zin, Reena; Adams, Sylvia; Bartlett, John; Loibl, Sibylle; Denkert, Carsten; Savas, Peter; Loi, Sherene; Salgado, Roberto; Specht Stovgaard, Elisabeth

doi:10.1002/path.6155

Public

Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

Shared by NobleBlocks on Aug 1, 2023 • 12:00 AM UTC

Authors:

Jeppe Thagaard

Glenn Broeckx

David B Page

Abstract

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) breas...

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!