Universität zu Köln

Karamitopoulou, Eva, Esposito, Irene, Zlobec, Inti, Insilla, Andrea Cacciato, Wartenberg, Martin, Schaeffer, David F., Kalloger, Steve, La Rosa, Stefano, Sempoux, Christine, Centeno, Irene Ramos and Lohneis, Philipp . Reproducibility of tumor budding assessment in pancreatic cancer based on a multicenter interobserver study. Virchows Arch.. NEW YORK: SPRINGER. ISSN 1432-2307

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Abstract

Tumor budding has been reported to be an independent prognostic factor in pancreatic ductal adenocarcinoma (PDAC). Its use in daily diagnostics would improve the prognostic stratification of patients. We performed a multicenter interobserver study to test various budding assessment methods for their reproducibility. Two serial sections of 50 resected, treatment-naive PDACs were stained for Hematoxylin and Eosin (H&E) and pancytokeratin. Tumor budding was scored by independent observers at five participating centers in Switzerland, Germany, and Canada. Pathologists assessed tumor budding on a digital platform comparing H&E with pancytokeratin staining in 10 high-power fields (10HPF) and one HPF hotspot (1HPF). Additionally, tumor budding was assessed in one H&E hotspot at x 20 magnification, as suggested by the International Tumor Budding Consensus Conference (ITBCC). Correlation coefficients for bud counts between centers ranged from r = 0.58648 to r = 0.78641 for H&E and from r = 0.69288 to r = 0.81764 for pancytokeratin. The highest interobserver agreement across all centers was observed for pancytokeratin 10HPFs (ICC = 0.6). ICC values were 0.49, 0.48, 0.41, and 0.4 for H&E in 1HPF hotspot, H&E in 10HPFs, pancytokeratin in 1HPF, and H&E in one hotspot at x20, respectively (ITBCC method). This interobserver study reveals a range between moderately poor to moderate agreement levels between pathologists for the different tumor budding assessment methods in PDAC. Acceptable levels of agreement were reached with the pancytokeratin 10HPF method, which can thus be recommended for the assessment of tumor budding in PDAC resection specimens. To improve the levels of interobserver agreement, the implementation of machine learning applications should be considered.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Karamitopoulou, Eva UNSPECIFIED UNSPECIFIED UNSPECIFIED Esposito, Irene UNSPECIFIED UNSPECIFIED UNSPECIFIED Zlobec, Inti UNSPECIFIED UNSPECIFIED UNSPECIFIED Insilla, Andrea Cacciato UNSPECIFIED UNSPECIFIED UNSPECIFIED Wartenberg, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Schaeffer, David F. UNSPECIFIED UNSPECIFIED UNSPECIFIED Kalloger, Steve UNSPECIFIED UNSPECIFIED UNSPECIFIED La Rosa, Stefano UNSPECIFIED UNSPECIFIED UNSPECIFIED Sempoux, Christine UNSPECIFIED UNSPECIFIED UNSPECIFIED Centeno, Irene Ramos UNSPECIFIED UNSPECIFIED UNSPECIFIED Lohneis, Philipp UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-307823
DOI:	10.1007/s00428-020-02987-2
Journal or Publication Title:	Virchows Arch.
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1432-2307
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language INDEPENDENT PROGNOSTIC-FACTOR; MESENCHYMAL TRANSITION; GEMCITABINE; CELLS; SURVIVAL; IMPROVES; DISTINCT; EMT Multiple languages Pathology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/30782