ARX, PDX1, ISL1 and CDX2 expression distinguishes five subgroups of PanNETs with correlations to histology, hormone expression and outcome.

PanNETs hormone expression outcome subgroups transcription factors

Journal

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
ISSN: 1530-0285
Titre abrégé: Mod Pathol
Pays: United States
ID NLM: 8806605

Informations de publication

Date de publication:
13 Aug 2024
Historique:
received: 30 05 2024
revised: 22 07 2024
accepted: 09 08 2024
medline: 16 8 2024
pubmed: 16 8 2024
entrez: 15 8 2024
Statut: aheadofprint

Résumé

Many pancreatic neuroendocrine tumors (PanNETs) fall into two major prognostic subtypes based on DAXX/ATRX induced ALT phenotype and alpha and beta cell-like epigenomic profiles. However, these PanNETs are still flanked by other PanNETs that do not fit into either subtype. Furthermore, despite advanced genotyping, PanNETs are generally not well characterized in terms of their histological and hormonal phenotype. We aimed to identify new subgroups of PanNETs by extending the currently used transcription factor signatures and to investigate their correlation with histological, hormonal molecular and prognostic findings. 185 PanNETs (non-functioning 165, functioning 20) resected between 1996 and 2023 were classified into five subgroups (A1, A2, B, C, D) by cluster analysis based on ARX, PDX1, ISL1 and CDX2 expression and correlated with trabecular vs. solid histology, expression of insulin, glucagon, PP, somatostatin, serotonin, gastrin, calcitonin, ACTH, DAXX/ATRX, MEN1 and ALT status by FISH, and disease-free survival (DFS). A1 (46%, ARX+/ISL1+/PDX1-/CDX2-) and A2 (15%, ARX+/ISL1+/PDX1+/CDX2-) showed trabecular histology and glucagon/ PP expression, with A2 also showing gastrin expression. B (18%, PDX1+/ISL1+/ARX-/CDX2-) showed solid histology, insulin and somatostatin expression (p<0.001). It included all insulinomas and had the best outcome (p<0.01). C (15%, ARX-/PDX1-/ISL1-/CDX2-) showed solid histology and frequent expression of serotonin, calcitonin und ACTH. D (5%, PDX1+/CDX2+/ISL1-/ARX-) showed solid histology, expressed ACTH/serotonin and was an independent poor prognosticator (p<0.01). Differential expression of ARX, PDX1, ISL1 and CDX2 stratified PanNETs into five subgroups with different histology, hormone expression and outcome. Subgroups A1 and A2 resembled the alpha cell-like type, subgroup B the beta cell-like type. Subgroup C with almost a no transcription factor signature was unclear in cell lineage, while the PDX+/CDX2+ signature of subgroup D suggested a pancreatic/intestinal cell lineage. Assigning PanNETs to the subgroups may help to establish the diagnosis, predict the outcome, and guide the treatment.

Identifiants

pubmed: 39147030
pii: S0893-3952(24)00175-3
doi: 10.1016/j.modpat.2024.100595
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100595

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Elisa Moser (E)

Department of Pathology.

Ayako Ura (A)

Department of Pathology.

Loreen Vogel (L)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich.

Katja Steiger (K)

Department of Pathology.

Carolin Mogler (C)

Department of Pathology.

Matthias Evert (M)

Institute of Pathology, University of Regensburg.

Bruno Märkl (B)

Pathology, Medical Faculty Augsburg, University Augsburg.

Klemens Scheidhauer (K)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich.

Marc Martignoni (M)

Department of Surgery.

Helmut Friess (H)

Department of Surgery.

Alexander von Werder (A)

Department of Internal Medicine II, TUM School of Medicine and Health, Munich, Germany.

Ilaria Marinoni (I)

Institute of Tissue Medicine and Pathology, University of Bern, Switzerland.

Aurel Perren (A)

Institute of Tissue Medicine and Pathology, University of Bern, Switzerland.

Günter Klöppel (G)

Department of Pathology.

Atsuko Kasajima (A)

Department of Pathology,. Electronic address: atsuko.kasajima@tum.de.

Classifications MeSH