Evidence map›Paper›PMID 39200222›Full record

ReviewBiomedicines2024

Uveal Melanoma: Comprehensive Review of Its Pathophysiology, Diagnosis, Treatment, and Future Perspectives.

Merve Kulbay, Emily Marcotte, Raheem Remtulla, Tsz Hin Alexander Lau, Manuel Paez-Escamilla, Kevin Y Wu, Miguel N Burnier

Abstract readReview
In one paragraph

Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Ocular Melanoma: A Comprehensive Review with a Focus on Molecular Biology.International journal of molecular sciences · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

7 authors.

Merve KulbayDepartment of Ophthalmology & Visual Sciences, McGill University, Montreal, QC H4A 3S5, Canada.ORCID 0000-0003-2756-3973
Emily MarcotteMcGill University Ocular Pathology and Translational Research Laboratory, McGill University, Montreal, QC H4A 3J1, Canada.ORCID 0009-0002-8648-7093
Raheem RemtullaDepartment of Ophthalmology & Visual Sciences, McGill University, Montreal, QC H4A 3S5, Canada.
Tsz Hin Alexander LauDepartment of Ophthalmology & Visual Sciences, McGill University, Montreal, QC H4A 3S5, Canada.
Manuel Paez-EscamillaDepartment of Ophthalmology & Visual Sciences, McGill University, Montreal, QC H4A 3S5, Canada.
Kevin Y WuDepartment of Surgery, Division of Ophthalmology, University of Sherbrooke, Sherbrooke, QC J1G 2E8, Canada.ORCID 0000-0002-1662-6900
Miguel N BurnierDepartment of Ophthalmology & Visual Sciences, McGill University, Montreal, QC H4A 3S5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uveal melanoma (UM) is the most common intraocular malignancy in adults. Recent advances highlight the role of tumor-derived extracellular vesicles (TEV) and circulating hybrid cells (CHC) in UM tumorigenesis. Bridged with liquid biopsies, a novel technology that has shown incredible performance in detecting cancer cells or products derived from tumors in bodily fluids, it can significantly impact disease management and outcome. The aim of this comprehensive literature review is to provide a summary of current knowledge and ongoing advances in posterior UM pathophysiology, diagnosis, and treatment. The first section of the manuscript discusses the complex and intricate role of TEVs and CHCs. The second part of this review delves into the epidemiology, etiology and risk factors, clinical presentation, and prognosis of UM. Third, current diagnostic methods, ensued by novel diagnostic tools for the early detection of UM, such as liquid biopsies and artificial intelligence-based technologies, are of paramount importance in this review. The fundamental principles, limits, and challenges associated with these diagnostic tools, as well as their potential as a tracker for disease progression, are discussed. Finally, a summary of current treatment modalities is provided, followed by an overview of ongoing preclinical and clinical research studies to provide further insights on potential biomolecular pathway alterations and therapeutic targets for the management of UM. This review is thus an important resource for all healthcare professionals, clinicians, and researchers working in the field of ocular oncology.

Indexed as

artificial intelligencecirculating hybrid cellsliquid biopsiesuveal melanoma

Identifiers

PMID39200222
PMCPMC11352094

What OpenQuestion holds

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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.