Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

Archive ouverte

Kos, Zuzana | Roblin, Elvire | Kim, Rim | Michiels, Stefan | Gallas, Brandon | Chen, Weijie | van de Vijver, Koen | Goel, Shom | Adams, Sylvia | Demaria, Sandra | Viale, Giuseppe | Nielsen, Torsten | Badve, Sunil | Symmans, W Fraser | Sotiriou, Christos | Rimm, David | Hewitt, Stephen | Denkert, Carsten | Loibl, Sibylle | Luen, Stephen | Bartlett, John | Savas, Peter | Pruneri, Giancarlo | Dillon, Deborah | Cheang, Maggie Chon U | Tutt, Andrew | Hall, Jacqueline | Kok, Marleen | Horlings, Hugo | Madabhushi, Anant | van Der Laak, Jeroen | Ciompi, Francesco | Laenkholm, Anne-Vibeke | Bellolio, Enrique | Gruosso, Tina | Fox, Stephen | Araya, Juan Carlos | Floris, Giuseppe | Hudeček, Jan | Voorwerk, Leonie | Beck, Andrew | Kerner, Jen | Larsimont, Denis | Declercq, Sabine | van den Eynden, Gert | Pusztai, Lajos | Ehinger, Anna | Yang, Wentao | Abduljabbar, Khalid | Yuan, Yinyin | Singh, Rajendra | Hiley, Crispin | Bakir, Maise Al | Lazar, Alexander, J | Naber, Stephen | Wienert, Stephan | Castillo, Miluska | Curigliano, Giuseppe | Dieci, Maria-Vittoria | André, Fabrice | Swanton, Charles | Reis-Filho, Jorge | Sparano, Joseph | Balslev, Eva | Chen, I-Chun | Stovgaard, Elisabeth Ida Specht | Pogue-Geile, Katherine | Blenman, Kim | Penault-Llorca, Frédérique | Schnitt, Stuart | Lakhani, Sunil, R | Vincent-Salomon, Anne | Rojo, Federico | Braybrooke, Jeremy | Hanna, Matthew | Soler-Monsó, M Teresa | Bethmann, Daniel | Castaneda, Carlos | Willard-Gallo, Karen | Sharma, Ashish | Lien, Huang-Chun | Fineberg, Susan | Thagaard, Jeppe | Comerma, Laura | Gonzalez-Ericsson, Paula | Brogi, Edi | Loi, Sherene | Saltz, Joel | Klaushen, Frederick | Cooper, Lee | Amgad, Mohamed | Moore, David | Salgado, Roberto | Symmans, W. Fraser | Cheang, Maggie Chon U. | Soler-Monsó, M. Teresa

Edité par CCSD ; Nature -

International audience. Stromal tumor-infiltrating lymphocytes (sTILs) are important prognostic and predictive biomarkers in triple-negative (TNBC) and HER2-positive breast cancer. Incorporating sTILs into clinical practice necessitates reproducible assessment. Previously developed standardized scoring guidelines have been widely embraced by the clinical and research communities. We evaluated sources of variability in sTIL assessment by pathologists in three previous sTIL ring studies. We identify common challenges and evaluate impact of discrepancies on outcome estimates in early TNBC using a newly-developed prognostic tool. Discordant sTIL assessment is driven by heterogeneity in lymphocyte distribution. Additional factors include: technical slide-related issues; scoring outside the tumor boundary; tumors with minimal assessable stroma; including lymphocytes associated with other structures; and including other inflammatory cells. Small variations in sTIL assessment modestly alter risk estimation in early TNBC but have the potential to affect treatment selection if cutpoints are employed. Scoring and averaging multiple areas, as well as use of reference images, improve consistency of sTIL evaluation. Moreover, to assist in avoiding the pitfalls identified in this analysis, we developed an educational resource available at www.tilsinbreastcancer.org/pitfalls.

Suggestions

Du même auteur

The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group

Archive ouverte | El Bairi, Khalid | CCSD

International audience. The advent of immune-checkpoint inhibitors (ICI) in modern oncology has significantly improved survival in several cancer settings. A subgroup of women with breast cancer (BC) has immunogenic...

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

Archive ouverte | Amgad, Mohamed | CCSD

Auteurs : International Immuno-Oncology Biomarker Working Group. International audience. Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow ...

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

Archive ouverte | Thagaard, Jeppe | CCSD

International audience. 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 bio...

Chargement des enrichissements...