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  3. Tumor budding and poorly differentiated clusters as a biological continuum in colorectal cancer invasion and prognosis.
 

Tumor budding and poorly differentiated clusters as a biological continuum in colorectal cancer invasion and prognosis.

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BORIS DOI
10.48620/89116
Date of Publication
May 15, 2025
Publication Type
Article
Division/Institute

Institute of Tissue M...

Institute of Tissue M...

Clinic of Medical Onc...

Institute of Tissue M...

Contributor
Haddad, Tariq Sami
Bokhorst, John-Melle
van den Dobbelsteen, Luuk
Öztürk, Sonay K
Baumann, Eliasorcid-logo
Institute of Tissue Medicine and Pathology
van Vliet, Shannon
Verrijp, Kiek
Jamieson, Nigel B
Wood, Colin
Berger, Martin D.
Clinic of Medical Oncology
Kirsch, Richard
Aben, Marco
Rutgers, Natasja
Ueno, Hideki
Ciompi, Francesco
Simmer, Femke
van der Laak, Jeroen
Lugli, Alessandroorcid-logo
Institute of Tissue Medicine and Pathology, Clinical Pathology
Institute of Tissue Medicine and Pathology, Clinical Pathology
Institute of Tissue Medicine and Pathology
Zlobec, Intiorcid-logo
Institute of Tissue Medicine and Pathology, Digital Pathology
Institute of Tissue Medicine and Pathology
Nagtegaal, Iris
Subject(s)

600 - Technology::610...

Series
Scientific Reports
ISSN or ISBN (if monograph)
2045-2322
Publisher
Nature Research
Language
English
Publisher DOI
10.1038/s41598-025-00866-x
PubMed ID
40374662
Description
Tumor budding (TB) and poorly differentiated clusters (PDCs) are features of infiltrative growth patterns and powerful independent prognostic factors in colorectal cancer (CRC), yet the underlying biological mechanisms behind their role in CRC invasion is less understood. The aim of this study was to investigate the molecular background and prognostic role of tumor cluster size at the invasive margin (IM) of CRC, and determine whether a biological continuum between TB and PDCs exists. Using a combination of spatial transcriptomic and immunohistochemical (IHC) techniques, we demonstrated a biological continuum from larger to smaller tumor clusters, with TB possessing greater invasive potential than PDCs. We deployed artificial intelligence on a cohort of 1134 Stage I-III CRC resections to automatically detect nearly 400,000 isolated tumor cells/clusters of any particular size across the IM. We determined that 2-celled clusters were the most abundant feature at the IM, and the simultaneous assessment of TB and PDCs yielded a prognostic performance stronger than either independently. Our study provides a deeper understanding of the mechanisms behind CRC invasion while improving risk stratification for Stage I-III CRC.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/211160
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File(s)
FileFile TypeFormatSizeLicensePublisher/Copright statementContent
s41598-025-00866-x.pdftextAdobe PDF6.38 MBpublishedOpen
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