Literature DB >> 33330964

Reproducibility of tumor budding assessment in pancreatic cancer based on a multicenter interobserver study.

Eva Karamitopoulou1, Irene Esposito2, Inti Zlobec3, Andrea Cacciato Insilla2,4, Martin Wartenberg3, David F Schaeffer5, Steve Kalloger5, Stefano La Rosa6, Christine Sempoux6, Irene Ramos Centeno3, Philipp Lohneis7.   

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-naïve 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 × 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 ×20, 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.

Entities:  

Keywords:  Interobserver; Pancreatic cancer; Prognosis; Tumor budding

Mesh:

Year:  2020        PMID: 33330964      PMCID: PMC7990816          DOI: 10.1007/s00428-020-02987-2

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.064


  29 in total

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2.  Pancreatic adenocarcinoma.

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4.  Tumour budding in pancreatic cancer revisited: validation of the ITBCC scoring system.

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9.  Tumour budding is a strong and independent prognostic factor in pancreatic cancer.

Authors:  E Karamitopoulou; I Zlobec; D Born; A Kondi-Pafiti; P Lykoudis; A Mellou; K Gennatas; B Gloor; A Lugli
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