Ovarian Neuroendocrine Neoplasms: Challenges and Future Perspectives

<b>Background</b>: Ovarian neuroendocrine neoplasms (O-NENs) are extremely rare, representing less than 1% of all ovarian neoplasms and under 5% of all neuroendocrine tumors (NETs). They encompass two primary histological subtypes: well-differentiated carcinoids and poorly differentiated neuroendocrine carcinomas, which display distinct biological behaviors and prognoses. The ovary can also be a site of metastasis from extra-ovarian NETs. Owing to their rarity, clinical management lacks standardization, and diagnosis is often incidental following surgery for presumed epithelial ovarian neoplasms. <b>Objectives</b>: This review aims to provide an updated synthesis of current evidence on the epidemiology, pathogenesis, clinical presentation, diagnosis, treatment strategies, and prognosis of O-NENs, highlighting unmet clinical needs. <b>Methods</b>: A literature search was performed on PubMed for the years 2014-2024 using the keywords: "ovarian neuroendocrine tumor", "ovarian neuroendocrine neoplasm", "ovarian neuroendocrine carcinoma", and "ovarian carcinoid". Only articles published in English were considered. Given the rarity of the disease, in addition to meta-analyses and systematic reviews, relevant case reports and case series were also included to provide a comprehensive clinical picture, yielding 32 eligible articles. <b>Results</b>: Evidence indicates that O-NENs remain understudied, with most data derived from case reports and small series. Clinical presentations vary from asymptomatic masses to hormone-related syndromes, often mimicking other ovarian pathologies. Diagnostic work-up typically follows the same protocol as epithelial ovarian cancer, with the neuroendocrine nature only recognized postoperatively. Treatment strategies are empirical and largely extrapolated from extra-ovarian NETs due to the absence of specific guidelines. Prognosis varies widely depending on histotype, stage, and secretory activity. <b>Conclusions</b>: O-NENs pose significant diagnostic and therapeutic challenges due to their rarity and heterogeneity. Greater clinical awareness, multidisciplinary management, and multicenter research are essential to establish evidence-based protocols and improve patient outcomes.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2025-12-13
DOI
https://doi.org/10.3390/jcm14248833
Primary Topic
Neuroendocrine Tumor Research Advances
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ovarian Neuroendocrine Neoplasms: Challenges and Future Perspectives

Silvia Migliaccio, Andrea Baiocchini, Andrea Lania, Carla Lubrano et al.
Journal of Clinical Medicine
Neuroendocrine Tumor Research Advances
article

Ovarian Neuroendocrine Neoplasms: Challenges and Future Perspectives

Silvia Migliaccio, Andrea Baiocchini, Andrea Lania, Carla Lubrano, Anna La Salvia, Guido Rindi, Laura Rizzà, Valentina Di Vito, Gabriele Veroi, Francesca Silvia Rota, Maria Cristina Macciomei, Lucia Rosalba Grillo, Roberto Baldelli
article en

Abstract

<b>Background</b>: Ovarian neuroendocrine neoplasms (O-NENs) are extremely rare, representing less than 1% of all ovarian neoplasms and under 5% of all neuroendocrine tumors (NETs). They encompass two primary histological subtypes: well-differentiated carcinoids and poorly differentiated neuroendocrine carcinomas, which display distinct biological behaviors and prognoses. The ovary can also be a site of metastasis from extra-ovarian NETs. Owing to their rarity, clinical management lacks standardization, and diagnosis is often incidental following surgery for presumed epithelial ovarian neoplasms. <b>Objectives</b>: This review aims to provide an updated synthesis of current evidence on the epidemiology, pathogenesis, clinical presentation, diagnosis, treatment strategies, and prognosis of O-NENs, highlighting unmet clinical needs. <b>Methods</b>: A literature search was performed on PubMed for the years 2014-2024 using the keywords: "ovarian neuroendocrine tumor", "ovarian neuroendocrine neoplasm", "ovarian neuroendocrine carcinoma", and "ovarian carcinoid". Only articles published in English were considered. Given the rarity of the disease, in addition to meta-analyses and systematic reviews, relevant case reports and case series were also included to provide a comprehensive clinical picture, yielding 32 eligible articles. <b>Results</b>: Evidence indicates that O-NENs remain understudied, with most data derived from case reports and small series. Clinical presentations vary from asymptomatic masses to hormone-related syndromes, often mimicking other ovarian pathologies. Diagnostic work-up typically follows the same protocol as epithelial ovarian cancer, with the neuroendocrine nature only recognized postoperatively. Treatment strategies are empirical and largely extrapolated from extra-ovarian NETs due to the absence of specific guidelines. Prognosis varies widely depending on histotype, stage, and secretory activity. <b>Conclusions</b>: O-NENs pose significant diagnostic and therapeutic challenges due to their rarity and heterogeneity. Greater clinical awareness, multidisciplinary management, and multicenter research are essential to establish evidence-based protocols and improve patient outcomes.

Journal of Clinical MedicineVol. 14(24)
Università Cattolica del Sacro Cuore (IT), Istituto Superiore di Sanità (IT), Carlo Forlanini Hospital (IT), IRCCS Humanitas Research Hospital (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 48%
Neuroendocrine Tumor Research Advances
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.