Biological targets and therapeutic strategies in the treatment of non-functioning pituitary tumors: state-of-the-art

Non-functioning pituitary neuroendocrine tumors (NF-PitNETs) represent one of the most common and heterogenous sellar pathology, and are nowadays still orphan of an effective pharmacological therapy that could substitute surgery or support in case of persistency/recurrence. In fact, despite NF-PitNETs are generally benign tumors, they can be characterized by supra- or extra-sellar growth with invasion of the cavernous sinus and/or involvement of the optical chiasm. For these reasons, lots of studies tried to unveil the molecular mechanisms underlying resistance and tumoral cells growth, so as to identify new possible therapeutic targets and novel drugs that could improve NF-PitNETs treatment. This review aims to summarize the new biological targets and therapeutic strategies that have been proposed so far, trying to give rise to novel approaches and paving the way for personalized strategies for patients harboring NF-PitNETs. In addition, further studies related to the complex mechanisms involved in NF-PitNETs resistance to the available therapies could provide the basis for the development of both prognostic biomarkers useful for patients' management and novel targets for the pharmacological treatment of these tumors.

Authors

Institutions

Publication Details

Journal
European Journal of Endocrinology
Published
2026-02-01
DOI
https://doi.org/10.1093/ejendo/lvag028
Primary Topic
Pituitary Gland Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biological targets and therapeutic strategies in the treatment of non-functioning pituitary tumors: state-of-the-art

Donatella Treppiedi, Genesio Di Muro, Erika Peverelli, Federica Mangili et al.
European Journal of Endocrinology
Pituitary Gland Disorders and Treatments
article

Biological targets and therapeutic strategies in the treatment of non-functioning pituitary tumors: state-of-the-art

Donatella Treppiedi, Genesio Di Muro, Erika Peverelli, Federica Mangili, Nicole Panseri, Luca Bosoni
article en

Abstract

Non-functioning pituitary neuroendocrine tumors (NF-PitNETs) represent one of the most common and heterogenous sellar pathology, and are nowadays still orphan of an effective pharmacological therapy that could substitute surgery or support in case of persistency/recurrence. In fact, despite NF-PitNETs are generally benign tumors, they can be characterized by supra- or extra-sellar growth with invasion of the cavernous sinus and/or involvement of the optical chiasm. For these reasons, lots of studies tried to unveil the molecular mechanisms underlying resistance and tumoral cells growth, so as to identify new possible therapeutic targets and novel drugs that could improve NF-PitNETs treatment. This review aims to summarize the new biological targets and therapeutic strategies that have been proposed so far, trying to give rise to novel approaches and paving the way for personalized strategies for patients harboring NF-PitNETs. In addition, further studies related to the complex mechanisms involved in NF-PitNETs resistance to the available therapies could provide the basis for the development of both prognostic biomarkers useful for patients' management and novel targets for the pharmacological treatment of these tumors.

European Journal of EndocrinologyVol. 194(2)
University of Milan (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
Good health and well-being
Openalex Percentile: Top 58%
Pituitary Gland Disorders and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.