Willis, Joseph; Anders, Robert A; 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; ... (2023). Multi-Institutional Evaluation of Pathologists' Assessment Compared to Immunoscore. Cancers, 15(16) MDPI AG 10.3390/cancers15164045
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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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Service Sector > Institute of Pathology > Clinical Pathology 04 Faculty of Medicine > Service Sector > Institute of Pathology |
UniBE Contributor: |
Zlobec, Inti, Lugli, Alessandro |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health |
ISSN: |
2072-6694 |
Publisher: |
MDPI AG |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
30 Aug 2023 16:12 |
Last Modified: |
31 Aug 2023 07:17 |
Publisher DOI: |
10.3390/cancers15164045 |
PubMed ID: |
37627073 |
Uncontrolled Keywords: |
T cell anatomopathology colon cancer digital pathology immunoscore prognostic markers risk stratification tumor microenvironment |
BORIS DOI: |
10.48350/185774 |
URI: |
https://boris.unibe.ch/id/eprint/185774 |
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