Evidence map›Paper›PMID 36249692›Full record

ArticleOphthalmology science2022

Improved Uveal Melanoma Copy Number Subtypes Including an Ultra-High-Risk Group.

Emilie Lalonde, Kathryn Ewens, Jennifer Richards-Yutz, Jessica Ebrahimzedeh, Mizue Terai, Carin F Gonsalves, Takami Sato, Carol L Shields, Arupa Ganguly

Open access · goldAbstract read
In one paragraph

Article in Ophthalmology science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Ocular Melanoma: A Comprehensive Review with a Focus on Molecular Biology.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Machine Learning Methods for Gene Selection in Uveal Melanoma.International journal of molecular sciences · 2024
    Article
  10. Interdependence of Molecular Lesions That Drive Uveal Melanoma Metastasis.International journal of molecular sciences · 2023
    Article
  11. Review
  12. 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

9 authors at 2 institutions in 1 country.

Emilie LalondeGenetics Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
Kathryn EwensGenetics Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
Jennifer Richards-YutzGenetics Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
Jessica EbrahimzedehGenetics Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
Mizue TeraiDepartment of Medical Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Carin F GonsalvesDepartment of Radiology, Division of Interventional Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Takami SatoDepartment of Medical Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Carol L ShieldsOcular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Philadelphia, Pennsylvania.
Arupa GangulyGenetics Diagnostic Laboratory, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · USThomas Jefferson University · US

Funding

Mutation Profile as Translatable Prognostic Biomarker of Uveal MelanomaR21CA181935 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GANGULY, ARUPA · 2015 to 2016
$383k
NCI NIH HHS R21 CA181935
6 · The paper itself

Abstract

Purpose: To evaluate the clinical relevance of low-frequency copy number aberrations (CNAs) in uveal melanoma (UM) and to discern residual genomic and clinical heterogeneity within established molecular subtypes based on genome-wide CNA profiling of 921 primary tumors. Design: Retrospective single-center case series. Participants: Patients with primary UM referred for genetic testing between 2008 and 2016 (n = 921). The Cancer Genome Atlas cohort with clinical outcome data available (n = 70) was used to validate findings. Methods: Genome-wide CNAs were generated for primary tumors from 921 patients and for 19 metastatic UM (mUM) in the liver. Of the 921 patients, metastatic outcome was known for 678 patients with a median time to metastasis of 4.5 years. The primary tumors were processed on the Affymetrix arrays SNP-5.0 (n = 140), SNP-6.0 (n = 359), or CytoScanHD (n = 422), and the metastatic tumors on the CytoScanHD array (n = 19). Recurrent CNAs were identified, and the prognostic effect of individual CNAs and multiple CNA clustering strategies, including more specific molecular subgroups with rare CNAs, were evaluated. Main Outcome Measures: CNA recurrence, and effect of CNAs and derived molecular subtypes on metastatic-free survival. Results: Genomic profiling revealed CNAs associated with risk of metastasis and demonstrated a strong association between chromosomal instability and patient prognosis. Using standard prognostic CNAs, 6 clusters were detected, and inclusion of chromosome 16q deletion revealed an additional cluster. Of these 7 genomic clusters, 5 patient groups showed distinct rates of metastasis, indicating that different genomic patterns can have similar patient outcomes. A small group of patients with a significantly higher rate of metastasis was characterized by monosomy 3, 8q amplification, and deletion of 1p or 16q. Although this ultra-high-risk group accounts for only 7% of this cohort, 88% demonstrated metastasis within 4 years, compared with 45% in the second-highest risk group. Conclusions: These results suggest that 1p and 16q deletion should be incorporated in clinical assays to assess prognosis at diagnosis and to guide enrollment in clinical trials for adjuvant therapies.

Indexed as

16q deletionCNA, copy number aberrationCopy number profileFNAB, fine-needle aspiration biopsyHR, hazard ratioMolecular risk groupsmUM, metastatic uveal melanomaPrognosisTCGA, The Cancer Genome AtlasUM, uveal melanomaUveal melanoma

Identifiers

PMID36249692
PMCPMC9559896
OpenAlexW4210677694

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.