Navigating the diagnostic gray zone: a challenging case of pancreatic high-grade neuroendocrine neoplasm.


Journal

Diagnostic pathology
ISSN: 1746-1596
Titre abrégé: Diagn Pathol
Pays: England
ID NLM: 101251558

Informations de publication

Date de publication:
12 Sep 2024
Historique:
received: 08 07 2024
accepted: 01 09 2024
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 12 9 2024
Statut: epublish

Résumé

Grade 3 neuroendocrine tumor (G3 PanNET) and poorly differentiated neuroendocrine carcinoma (PanNEC) of the pancreas are considered distinct entities from a biological and prognostic perspective but may have overlapping features complicating a definitive diagnosis. A 52-year-old female presented with a pancreatic body mass and liver lesions. Initial biopsies showed variable lower- and higher-grade morphologies and modestly elevated Ki67 proliferation index up to 30%, leading to a diagnosis of G3 PanNET. The patient underwent everolimus treatment followed by surgical resection, revealing a complex tumor with features of both G3 PanNET and PanNEC, including admixed well- and poorly differentiated morphologies, modestly elevated hotspot Ki67 of 28%, retained ATRX/DAXX expression, and loss of RB expression. The final diagnosis rendered was "high-grade neuroendocrine neoplasm" with discussion of both entities in the differential. Post-operatively, the patient remains alive with stable metastases. This case highlights the diagnostic complexities of distinguishing G3 PanNET and PanNEC even with the support of ancillary immunohistochemical and molecular studies. In addition, such cases raise the possibility that G3 PanNET and PanNEC may lie on a spectrum of disease with potential biological overlap.

Sections du résumé

BACKGROUND BACKGROUND
Grade 3 neuroendocrine tumor (G3 PanNET) and poorly differentiated neuroendocrine carcinoma (PanNEC) of the pancreas are considered distinct entities from a biological and prognostic perspective but may have overlapping features complicating a definitive diagnosis.
CASE PRESENTATION METHODS
A 52-year-old female presented with a pancreatic body mass and liver lesions. Initial biopsies showed variable lower- and higher-grade morphologies and modestly elevated Ki67 proliferation index up to 30%, leading to a diagnosis of G3 PanNET. The patient underwent everolimus treatment followed by surgical resection, revealing a complex tumor with features of both G3 PanNET and PanNEC, including admixed well- and poorly differentiated morphologies, modestly elevated hotspot Ki67 of 28%, retained ATRX/DAXX expression, and loss of RB expression. The final diagnosis rendered was "high-grade neuroendocrine neoplasm" with discussion of both entities in the differential. Post-operatively, the patient remains alive with stable metastases.
CONCLUSIONS CONCLUSIONS
This case highlights the diagnostic complexities of distinguishing G3 PanNET and PanNEC even with the support of ancillary immunohistochemical and molecular studies. In addition, such cases raise the possibility that G3 PanNET and PanNEC may lie on a spectrum of disease with potential biological overlap.

Identifiants

pubmed: 39267076
doi: 10.1186/s13000-024-01546-6
pii: 10.1186/s13000-024-01546-6
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Case Reports Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Brooke Mullen (B)

Department of Pathology, Massachusetts General Hospital, 55 Fruit Street, 02114, Boston, MA, USA.

Albert L Sy (AL)

Department of Pathology, Massachusetts General Hospital, 55 Fruit Street, 02114, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.

Priscila Dias Goncalves (P)

Department of Pathology, Massachusetts General Hospital, 55 Fruit Street, 02114, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.

M Lisa Zhang (ML)

Department of Pathology, Massachusetts General Hospital, 55 Fruit Street, 02114, Boston, MA, USA. mlzhang@mgh.harvard.edu.
Harvard Medical School, Boston, MA, USA. mlzhang@mgh.harvard.edu.

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