Evidence map›Paper›PMID 39351771›Full record

ReviewNeuro-oncology2024

Targeted radionuclide therapy for patients with central nervous system metastasis: Overlooked potential?

Emilie Le Rhun, Nathalie L Albert, Martin Hüllner, Enrico Franceschi, Norbert Galldiks, Philipp Karschnia, Giuseppe Minniti, Tobias Weiss, Matthias Preusser, Benjamin M Ellingson and 1 more

Abstract readReview
In one paragraph

Review in Neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Antitumor efficacy and safety of locoregional [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Article
  4. The molecular blueprint of targeted radionuclide therapy.Nature reviews. Clinical oncology · 2025
    Review
  5. Article
  6. Article
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

11 authors.

Emilie Le RhunDepartment of Medical Oncology and Hematology, University Hospital and University of Zurich, Zurich, Switzerland.ORCID 0000-0002-9408-3278
Nathalie L AlbertDepartment of Nuclear Medicine, Ludwig Maximilians-University of Munich, Munich, Germany.ORCID 0000-0003-0953-7624
Martin HüllnerDepartment of Nuclear Medicine, University Hospital and University of Zurich, Zurich, Switzerland.
Enrico FranceschiNervous System Medical Oncology Department, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy.
Norbert GalldiksCenter for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.ORCID 0000-0002-2485-1796
Philipp KarschniaGerman Cancer Consortium, Partner Site Munich, Munich, Germany.ORCID 0000-0002-1254-5310
Giuseppe MinnitiIRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy.
Tobias WeissDepartment of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland.ORCID 0000-0002-5533-9429
Matthias PreusserDepartment of Medicine I, Division of Oncology, and Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-3541-2315
Benjamin M EllingsonUCLA Brain Tumor Imaging Laboratory (BTIL), Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Michael WellerDepartment of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland.ORCID 0000-0002-1748-174X

Funding

UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Yvonne Yu-Hsuan Chen · 2017 to 2026
$25.2M
Role of decorin and diffusion MRI in anti-VEGF efficacy for recurrent glioblastomaR01CA270027 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TIMOTHY CLOUGHESY, Benjamin M. Ellingson · 2022 to 2026
$3.0M
Quantitative molecular MR-PET imaging of glycolysis in glioblastomaR01CA279984 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Benjamin M. Ellingson, David A. Nathanson · 2023 to 2026
$2.4M
NCI NIH HHS P50 CA211015NCI NIH HHS R01 CA270027NCI NIH HHS R01 CA279984
6 · The paper itself

Abstract

Targeted radionuclide therapy is an emerging therapeutic concept for metastatic cancer that can be considered if a tumor can be delineated by nuclear medicine imaging and also targeted based on the expression of a particular target (thera-nostics). This mode of treatment can also compete with or supplement conventional radiotherapy, for example, if MRI does not fully capture the extent of the disease, including microscopic metastases. Targeted radionuclide therapy for patients with thyroid cancer, with certain somatostatin receptor 2-expressing tumors and with prostate-specific membrane antigen-expressing prostate cancer is approved, and numerous approaches of targeted radionuclide therapy for patients with metastatic cancer are in development (eg, using fibroblast activation protein as a target). Although brain metastases are rare in cancers with approved targeted radionuclide therapies, there is no a priori reason to assume that such treatments would not be effective against brain metastases if the targets are expressed and not shielded by the blood-brain barrier. Here, we discuss the current state of the art and opportunities of targeted radionuclide therapies for patients with brain and leptomeningeal metastases.

Indexed as

Brain NeoplasmsCentral Nervous System NeoplasmsHumansMolecular Targeted TherapyRadioisotopesRadiopharmaceuticalsRadioisotopesRadiopharmaceuticalsbrainleptomeningealradioligandradiopharmaceuticaltargettheranostics

Identifiers

PMID39351771
PMCPMC11631097

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.