Cancers (Aug 2023)

Multi-Institutional Evaluation of Pathologists’ Assessment Compared to Immunoscore

  • Joseph Willis,
  • Robert A. Anders,
  • Toshihiko Torigoe,
  • Yoshihiko Hirohashi,
  • Carlo Bifulco,
  • Inti Zlobec,
  • Bernhard Mlecnik,
  • Sandra Demaria,
  • Won-Tak Choi,
  • Pavel Dundr,
  • Fabiana Tatangelo,
  • Annabella Di Mauro,
  • Pamela Baldin,
  • Gabriela Bindea,
  • Florence Marliot,
  • Nacilla Haicheur,
  • Tessa Fredriksen,
  • Amos Kirilovsky,
  • Bénédicte Buttard,
  • Angela Vasaturo,
  • Lucie Lafontaine,
  • Pauline Maby,
  • Carine El Sissy,
  • Assia Hijazi,
  • Amine Majdi,
  • Christine Lagorce,
  • Anne Berger,
  • Marc Van den Eynde,
  • Franck Pagès,
  • Alessandro Lugli,
  • Jérôme Galon

DOI
https://doi.org/10.3390/cancers15164045
Journal volume & issue
Vol. 15, no. 16
p. 4045

Abstract

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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.

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