Evidence map›Paper›PMID 38977769›Full record

ReviewNature reviews. Urology2025

Biological determinants of PSMA expression, regulation and heterogeneity in prostate cancer.

Martin K Bakht, Himisha Beltran

Registry-linked trialAbstract readReview
In one paragraph

Review in Nature reviews. Urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07272317 (PSMA-PET/MRI-Ultrasound Multimodal Fusion Navigation for Da Vinci Robot-Assisted Radical Prostatectomy), which is not on this map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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.

NCT07272317 nanot yet recruitingnot on this map

PSMA-PET/MRI-Ultrasound Multimodal Fusion Navigation for Da Vinci Robot-Assisted Radical Prostatectomy: A Randomized Controlled Trial

TypeinterventionalSponsorShanghai General Hospital, Shanghai Jiao Tong University School of MedicineRan2025 to 2026Enrolled98ConditionsProstate CancerArmsexperimental group (navigation-assisted RARP)
3 · Its place in the literature

Who cites it

100 citing papers in PubMed.

  1. Trial
  2. First-in-human evaluation of [Annals of medicine · 2026
    Article
  3. Article
  4. Efficacy and outcomes of [European journal of nuclear medicine and molecular imaging · 2026
    Article
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  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. A Preliminary Evaluation ofPharmaceutics · 2026
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

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

2 authors.

Martin K BakhtDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-8803-2485
Himisha BeltranDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Himisha_Beltran@dfci.harvard.edu.ORCID 0000-0003-3259-2226

Funding

Molecular Determinants of Response and Resistance to EZH2 and PARP inhibition in Prostate CancerP50CA272390 · NCI · DANA-FARBER CANCER INST · PI Steven P. Balk, Himisha Beltran · 2023 to 2026
$12.0M
Molecular mechanisms underlying lineage plasticity in prostate cancerR37CA241486 · NCI · DANA-FARBER CANCER INST · PI Himisha Beltran · 2020 to 2026
$4.1M
Department of Defense W81XWH-17-1-0653Department of Defense W81XWH-22-1-0010NCI NIH HHS P50 CA272390NCI NIH HHS R37 CA241486
6 · The paper itself

Abstract

Prostate-specific membrane antigen (PSMA) is an important cell-surface imaging biomarker and therapeutic target in prostate cancer. The PSMA-targeted theranostic

Indexed as

Antigens, SurfaceGlutamate Carboxypeptidase IIProstatic NeoplasmsGene Expression Regulation, NeoplasticHumansMaleProstatic Neoplasms, Castration-ResistantTumor MicroenvironmentAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase II

Identifiers

PMID38977769
PMCPMC11841200

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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.