ReviewCancers2023
Current Status of Radiolabeled Monoclonal Antibodies Targeting PSMA for Imaging and Therapy.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Engineering NIR Probes to Enhance Affinity and Clinical Workflow Compatibility for Prostate Cancer Imaging.Angewandte Chemie (International ed. in English) · 2026Article
- Article
- A Spatiotemporal Image-Guided Model of Radiopharmaceutical Transport in Heterogeneous Vasculature Prostate Tumor: A Computational Analysis of Key Parameters in Lutetium-177 PSMA Therapy.Annals of biomedical engineering · 2026Article
- An update on patent issues regarding antibody-drug conjugates.Nature biotechnology · 2026Article
- Cancer treatment by radioimmunotherapy: insights from a dynamical model of cancer stem cells and hypoxia effects.Scientific reports · 2026Article
- Review
- Engineering NIR probes to enhance affinity and clinical workflow compatibility for prostate cancer imaging.bioRxiv : the preprint server for biology · 2025Article
- Pharmacological aspects of FDA-approved novel drug therapies against cancer in 2023: a comprehensive review.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Molecular imaging supports the development of multispecific cancer antibodies.Nature reviews. Clinical oncology · 2024Review
- Clinical insights into nanomedicine and biosafety: advanced therapeutic approaches for common urological cancers.Frontiers in oncology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PCa) is one of the most prevalent cancer diagnoses among men in the United States and in several other developed countries. The prostate specific membrane antigen (PSMA) has been recognized as a promising molecular target in PCa, which has led to the development of specific radionuclide-based tracers for imaging and radiopharmaceuticals for PSMA targeted therapy. These compounds range from small molecule ligands to monoclonal antibodies (mAbs). Monoclonal antibodies play a crucial role in targeting cancer cell-specific antigens with a high degree of specificity while minimizing side effects to normal cells. The same mAb can often be labeled in different ways, such as with radionuclides suitable for imaging with Positron Emission Tomography (β+ positrons), Gamma Camera Scintigraphy (γ photons), or radiotherapy (β- electrons, α-emitters, or Auger electrons). Accordingly, the use of radionuclide-based PSMA-targeting compounds in molecular imaging and therapeutic applications has significantly grown in recent years. In this article, we will highlight the latest developments and prospects of radiolabeled mAbs that target PSMA for the detection and treatment of prostate cancer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.