Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer
- Author(s)
- Page, DB; Broeckx, G; Jahangir, CA; Verbandt, S; Gupta, RR; Thagaard, J; Khiroya, R; Kos, Z; Abduljabbar, K; Acosta Haab, G; Acs, B; Akturk, G; Almeida, JS; Alvarado-Cabrero, I; Azmoudeh-Ardalan, F; Badve, S; Baharun, NB; Bellolio, ER; Bheemaraju, V; Blenman, KRM; Botinelly Mendonca Fujimoto, L; Bouchmaa, N; Burgues, O; Cheang, MCU; Ciompi, F; Cooper, LAD; Coosemans, A; Corredor, G; Dantas Portela, FL; Deman, F; Demaria, S; Dudgeon, SN; Elghazawy, M; Ely, S; Fernandez-Martin, C; Fineberg, S; Fox, SB; Gallagher, WM; Giltnane, JM; Gnjatic, S; Gonzalez-Ericsson, PI; Grigoriadis, A; Halama, N; Hanna, MG; Harbhajanka, A; Hardas, A; Hart, SN; Hartman, J; Hewitt, S; Hida, AI; Horlings, HM; Husain, Z; Hytopoulos, E; Irshad, S; Janssen, EAM; Kahila, M; Kataoka, TR; Kawaguchi, K; Kharidehal, D; Khramtsov, AI; Kiraz, U; Kirtani, P; Kodach, LL; Korski, K; Kovacs, A; Laenkholm, AV; Lang-Schwarz, C; Larsimont, D; Lennerz, JK; Lerousseau, M; Li, X; Ly, A; Madabhushi, A; Maley, SK; Manur Narasimhamurthy, VM; 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; Vincent-Salomon, A; Salto-Tellez, M; Saltz, J; Sayed, S; Siziopikou, KP; Sotiriou, C; Stenzinger, A; Sughayer, MA; Sur, D; 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; Adams, S; Bartlett, JMS; Loibl, S; Denkert, C; Savas, P; Loi, S; Salgado, R; Specht Stovgaard, E;
- Details
- Publication Year 2023-08,Volume 260,Issue #5,Page 514-532
- Journal Title
- Journal of Pathology
- Publication Type
- Review
- Abstract
- Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. (c) 2023 The Pathological Society of Great Britain and Ireland.
- Publisher
- Wiley
- Keywords
- Humans; *Colonic Neoplasms; Biomarkers; Benchmarking; Lymphocytes, Tumor-Infiltrating; Spatial Analysis; Tumor Microenvironment; Immunoscore; Til; multispectral immunofluorescence; sTIL score; spatial heterogeneity; spatial statistics; tumor infiltrating lymphocytes
- Department(s)
- Pathology; Laboratory Research; Medical Oncology
- PubMed ID
- 37608771
- Publisher's Version
- https://doi.org/10.1002/path.6165
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2023-11-08 07:27:56
Last Modified: 2024-07-16 04:02:14