- Willis, Joseph;
- Anders, Robert;
- Torigoe, Toshihiko;
- Hirohashi, Yoshihiko;
- Bifulco, Carlo;
- Zlobec, Inti;
- Mlecnik, Bernhard;
- Demaria, Sandra;
- Choi, Won-Tak;
- Dundr, Pavel;
- Tatangelo, Fabiana;
- Di Mauro, Annabella;
- Baldin, Pamela;
- Bindea, Gabriela;
- Marliot, Florence;
- Haicheur, Nacilla;
- Fredriksen, Tessa;
- Kirilovsky, Amos;
- Buttard, Bénédicte;
- Vasaturo, Angela;
- Lafontaine, Lucie;
- Maby, Pauline;
- El Sissy, Carine;
- Hijazi, Assia;
- Majdi, Amine;
- Lagorce, Christine;
- Berger, Anne;
- Van den Eynde, Marc;
- Pagès, Franck;
- Lugli, Alessandro;
- Galon, Jérôme
BACKGROUND: The Immunoscore (IS) is a quantitative digital pathology assay that evaluates the immune response in cancer patients. This study reports on the reproducibility of pathologists visual assessment of CD3+- and CD8+-stained colon tumors, compared to IS quantification. METHODS: An international group of expert pathologists evaluated 540 images from 270 randomly selected colon cancer (CC) cases. Concordance between pathologists T-score, corresponding hematoxylin-eosin (H&E) slides, and the digital IS was evaluated for two- and three-category IS. RESULTS: Non-concordant T-scores were reported in more than 92% of cases. Disagreement between semi-quantitative visual assessment of T-score and the reference IS was observed in 91% and 96% of cases before and after training, respectively. Statistical analyses showed that the concordance index between pathologists and the digital IS was weak in two- and three-category IS, respectively. After training, 42% of cases had a change in T-score, but no improvement was observed with a Kappa of 0.465 and 0.374. For the 20% of patients around the cut points, no concordance was observed between pathologists and digital pathology analysis in both two- and three-category IS, before or after training (all Kappa < 0.12). CONCLUSIONS: The standardized IS assay outperformed expert pathologists T-score evaluation in the clinical setting. This study demonstrates that digital pathology, in particular digital IS, represents a novel generation of immune pathology tools for reproducible and quantitative assessment of tumor-infiltrated immune cell subtypes.