Evidence map›Paper›PMID 41584722›Full record

ReviewJTO clinical and research reports2026

Thymic Neuroendocrine Tumors: Evolving Insights and Innovative Approaches.

Erica Pietroluongo, Christine M Bestvina, Rachel Brattin, Pietro De Placido, Anna Di Lello, Waqas Haque, Alessandra Esposito, Roberto Bianco, Noura Choudhury, Marina Chiara Garassino

Abstract readReview
In one paragraph

Review in JTO clinical and research reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Thymic neuroendocrine tumours: molecular landscape, immune microenvironment and therapeutic perspectives.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Erica PietroluongoDepartment of Medicine, Section of Hematology Oncology, Thoracic Oncology Program, The University of Chicago Medicine, Chicago, Illinois.
Christine M BestvinaDepartment of Medicine, Section of Hematology Oncology, Thoracic Oncology Program, The University of Chicago Medicine, Chicago, Illinois.
Rachel BrattinDepartment of Medicine, Section of Hematology Oncology, Thoracic Oncology Program, The University of Chicago Medicine, Chicago, Illinois.
Pietro De PlacidoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Anna Di LelloMedical Oncology Department, IRCCS San Raffaele Hospital, Milan, Italy.
Waqas HaqueDepartment of Medicine, Section of Hematology Oncology, Thoracic Oncology Program, The University of Chicago Medicine, Chicago, Illinois.
Alessandra EspositoDepartment of Medicine, Section of Hematology Oncology, Thoracic Oncology Program, The University of Chicago Medicine, Chicago, Illinois.
Roberto BiancoDepartment of Clinical Medicine and Surgery, University Federico II, Naples, Italy.
Noura ChoudhuryDepartment of Medicine, Section of Hematology Oncology, Thoracic Oncology Program, The University of Chicago Medicine, Chicago, Illinois.
Marina Chiara GarassinoDepartment of Medicine, Section of Hematology Oncology, Thoracic Oncology Program, The University of Chicago Medicine, Chicago, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Thymic neuroendocrine tumors (TNENs) are exceptionally rare and a clinically heterogeneous malignancy, often diagnosed at an advanced stage and lacking standardized treatment algorithms. Due to the scarcity of dedicated evidence, most therapeutic strategies are extrapolated from other neuroendocrine neoplasms. Methods: This narrative review provides an updated overview of current and emerging treatment approaches for TNENs, focusing on histology-driven strategies and the evolving role of targeted and radionuclide therapies. A comprehensive literature search was conducted through PubMed/MEDLINE and Embase from January 1, 2000, up to May 31, 2025, integrating retrospective series, real-world data, and ongoing clinical trials. Results: Surgical resection remains the cornerstone of treatment whenever feasible. The benefit of adjuvant therapy in well-differentiated tumors is unclear, whereas thymic neuroendocrine carcinomas often require multimodal approaches, including platinum-etoposide chemotherapy and radiotherapy. Retrospective evidence suggests that even well-differentiated, high-grade tumors may respond to cytotoxic agents. Somatostatin analogues are widely used in indolent or peptide receptor-positive tumors, whereas everolimus and, more recently, cabozantinib represent options for progressive disease. Peptide receptor radionuclide therapy has demonstrated encouraging results in somatostatin receptor-positive tumors and is currently under further investigation in prospective trials involving thymic primaries. However, the 5-year overall survival rate varies significantly (approximately 28%-80%), underlining an urgent need for prospective, subtype-specific studies. Conclusions: The management of TNENs requires a multidisciplinary and individualized approach based on histologic subtype, somatostatin receptor status, and disease aggressiveness. Despite promising therapeutic options, robust prospective data remain limited. The integration of TNENs into basket trials, the molecular refinement of prognostic subgroups (e.g., NET G3), and the conduct of dedicated multicenter prospective studies are urgently needed to define optimal treatment algorithms and improve clinical outcomes in these rare entities.

Indexed as

PRRTSomatostatin analogsTargeted therapyThymic neuroendocrine tumors

Identifiers

PMID41584722
PMCPMC12828808

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.