The Diagnostic Value of EZH2 in Distinguishing NET G3 from NEC: An Immunohistochemical Study of 1618 Neuroendocrine Neoplasms of Various Origins and Grades
Year: 2026
Type: preprint
Study design: Observational Study
Abstract: The distinction between well-differentiated neuroendocrine tumours of grade 3 (NET G3) and poorly differentiated neuroendocrine carcinomas (NEC) guides treatment but remains challenging. We evaluated Enhancer of Zeste Homolog 2 (EZH2) immunohistochemistry as a supportive marker in 1618 neuroendocrine neoplasms (NEN) from ten centres, including 1083 NET G1/G2 and pulmonary carcinoids, 56 NET G3, 443 NEC and 36 medullary thyroid carcinomas and pheochromocytomas/paragangliomas, using the H-score with three expression groups (low < 100, intermediate 100–200, high > 200). EZH2 expression was low in 99.2% of NET G1/G2 and carcinoids and in all medullary thyroid carcinomas and pheochromocytomas/paragangliomas. NET G3 were EZH2-low in 67.9%, intermediate in 23.2% and high in 8.9% of cases, whereas large and small cell NEC were high in 52.2%, intermediate in 34.0% and low in 13.8% (p < 0.001). Low EZH2 expression supported NET G3 with a specificity of 86.2% (positive likelihood ratio 4.9), high expression supported NEC with a specificity of 91.1% (positive likelihood ratio 5.8), and intermediate expression was non-discriminatory. In an exploratory subset, EZH2 and p53/RB1 immunohistochemistry provided complementary information. EZH2 expression was associated with overall survival across the cohort but not within NET G3 or NEC. EZH2 is a simple supportive marker for the distinction of NET G3 and NEC: low expression supports NET G3, high expression supports NEC, and intermediate expression should be resolved by morphology and the established markers.
Source: Research Square
Authors: Katharina Ofner, Moritz Jesinghaus, Detlef Klaus Bartsch, Daniel-Christoph Wagner, Anne-Sophie Litmeyer, Marcus Kremer, Matthias Evert, Bruno Märkl, Alexander Quaas, Markus Eckstein, Konrad Steinestel, Carsten Denkert, Katja Steiger, Günter Klöppel, Atsuko Kasajima, Sebastian Foersch, Philipp Ströbel, Maxime Schmitt, Hanibal Bohnenberger
Institutions: Universitätsmedizin Göttingen, Philipps University of Marburg, University Medical Center of the Johannes Gutenberg University Mainz, München Klinik, University of Regensburg, University Hospital Augsburg, University Hospital Cologne, Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsklinikum Erlangen, Bundeswehrkrankenhaus Ulm, Technical University of Munich
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7225052856
