Automating tumor–stroma ratio quantification in colon cancer patients from the UNITED study

We validated a clinically applicable tool for fully automated TSR quantification in colon cancer, including an optimal region of interest and cut-off value for automated scoring. We confirm the independent prognostic value of automated TSR for DFS and OS and highlight its influence on potential ACT benefit, underlining its clinical relevance. Our findings support its integration into digital pathology workflows.

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Publication Details

Journal
ESMO Open
Published
2025-12-30
DOI
https://doi.org/10.1016/j.esmoop.2025.105934
Citations
1
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
1.05

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article

Automating tumor–stroma ratio quantification in colon cancer patients from the UNITED study

Darko Dzambaz, Meaghan Polack, Koen Peeters, Natalja E Leeuwis-Fedorovich et al.
1 citations
ESMO Open
Colorectal Cancer Screening and Detection
1.05
article

Automating tumor–stroma ratio quantification in colon cancer patients from the UNITED study

Darko Dzambaz, Meaghan Polack, Koen Peeters, Natalja E Leeuwis-Fedorovich, Gabi W. van Pelt, Joop van Baarlen, Pance Karagjozov, Mark P.S. Sie, Gordana Petrushevska, Valeska Terpstra, Mário Fontes-Sousa, Emma Witteveen, Adriana Zucchiatti, Svetozar Antović, Frédérique H. Beverdam, Rob AEM. Tollenaar, René Arensman, K.C.M.J. Peeters, Gorana Gašljević, M. T. Rodrigo, Wilma E. Mesker, Koen Talsma, Marloes Smit, Maria João Brito, Iván Archilla Sanz, Vink G.R., Nicole W.J. Bulkmans, Shonali Natu, Ronald Hoekstra, A. Stijn L. P. Crobach, Miriam Koopman, Floor Heilijgers, Slavica Kostadinova Kunovska, Magdalena Bogdanovska Todorovska, E.M.V. de Cuba, A.G.H. Roodvoets, S. Landolfi, R. Buettner, Roger Feakins, Arash Bordbar, A. Raimundo, M.P. Hendriks, M. Vermaas, Maud Strous, R. Souza da Silva, Els Dequeker, M.M. Lacle, Y. Tolkach, Raed Al Dieri, L. Mekenkamp, J. Han van Krieken, Arjan van Tilburg, W.E. Mesker, F. Heilijgers, H. Gelderblom, J.W.T. Dekker, Elma Meershoek-Klein Kranenbarg, Hein Putter, M. Cuatrecasas, Paula Borralho Nunes, S. Simonetti, S. Kjaer-Frifeldt, Jan Jansen, João Manuel B. F. Cruz, Pance Zdravkovski, E. Meershoek - Klein Kranenbarg, M. Polack, Jan Lindebjerg
article en
1 citations

Abstract

We validated a clinically applicable tool for fully automated TSR quantification in colon cancer, including an optimal region of interest and cut-off value for automated scoring. We confirm the independent prognostic value of automated TSR for DFS and OS and highlight its influence on potential ACT benefit, underlining its clinical relevance. Our findings support its integration into digital pathology workflows.

ESMO OpenVol. 11(1)
Leiden University Medical Center (NL), University Hospital Cologne (DE)
Amgen, Eli Lilly and Company, Pfizer, AstraZeneca, Sanofi, Les Laboratories Pierre Fabre, European Society for Medical Oncology, Servier, Dutch Colorectal Cancer Group, Sirtex Medical
Partnerships for the goals
Openalex Percentile: Top 15%
Colorectal Cancer Screening and Detection
1.05
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