Grading and staging for pituitary neuroendocrine tumors

Author:

Villa Chiara12ORCID,Birtolo Maria Francesca234,Perez‐Rivas Luis Gustavo5,Righi Alberto6,Assie Guillaume27,Baussart Bertrand28,Asioli Sofia910

Affiliation:

1. Department of Neuropathology, Hôpital Universitaire Pitié‐Salpêtrière, APHP Sorbonne Université Paris France

2. Inserm U1016, CNRS UMR 8104, Institut Cochin Université Paris Descartes‐Université de Paris Paris France

3. Department of Biomedical Sciences Humanitas University Milan Italy

4. Endocrinology, Diabetology and Medical Andrology Unit IRCCS Humanitas Research Hospital Milan Italy

5. Medizinische Klinik und Poliklinik IV, LMU Klinikum LMU München Munich Germany

6. Department of Pathology IRCCS Istituto Ortopedico Rizzoli Bologna Italy

7. Department of Endocrinology, Center for Rare Adrenal Diseases Hôpital Cochin APHP Paris France

8. Department of Neurosurgery, Hôpital Universitaire Pitié‐Salpêtrière, APHP Sorbonne Université Paris France

9. Department of Biomedical and Neuromotor Sciences (DIBINEM), Bellaria Hospital, AUSL Bologna University of Bologna Bologna Italy

10. Pituitary Neurosurgery Program, Pituitary Unit IRCCS istituto delle Scienze Neurologiche Bologna Italy

Abstract

AbstractPituitary adenoma/pituitary neuroendocrine tumors (PitNETs) are the second most common primary intracranial tumor and the most frequent neuroendocrine tumors/neoplasms of the human body. Thus, they are one of the most frequent diagnoses in neuropathologist's practise. 2022 5th edition WHO Classification of Endocrine and Neuroendocrine Tumors does not support a grading and/or staging system for PitNETs and argues that histological typing and subtyping are more robust than proliferation rate and invasiveness to stratify tumors. Numerous studies suggest the existence of clinically relevant molecular subgroups encouraging an integrated histo‐molecular approach to the diagnosis of PitNETs to deepen the understanding of their biology and overcome the unresolved problem of grading system. The present review illustrates the main issues involved in establishing a grading and a staging system, as well as alternative systems validated by independent series to date. The state of art of the current histological and molecular markers is detailed, demonstrating that a standardized and reproducible clinico‐pathological approach, combined with the integration of molecular data may help build a workflow to refine the definition of PitNETs with ‘malignant potential’ and most importantly, avoid delay in patient treatment. Next molecular studied are needed to validate an integrated histo‐molecular grading for PitNETs.

Publisher

Wiley

Reference112 articles.

1. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2016—2020

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4. Endocrine and neuroendocrine tumours WHO Classification of Tumors 5th ed. Vol 10 2022.

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