Evidence map›Paper›PMID 31755428›Full record

ReviewIndian journal of ophthalmology2019

Prognostication of uveal melanoma is simple and highly predictive using The Cancer Genome Atlas (TCGA) classification: A review.

Carol L Shields, Lauren A Dalvin, Pornpattana Vichitvejpaisal, Mehdi Mazloumi, Arupa Ganguly, Jerry A Shields

Open access · diamondAbstract readReview
In one paragraph

Review in Indian journal of ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Pathological and Molecular Diagnosis of Uveal Melanoma.Diagnostics (Basel, Switzerland) · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Conditional survival of uveal melanoma using The Cancer Genome Atlas (TCGA) classification (Simplified Version) in 1001 cases.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society
    Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Carol L ShieldsOcular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Suite, Philadelphia, PA, United States.
Lauren A DalvinOcular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Suite, Philadelphia, PA, United States.
Pornpattana VichitvejpaisalOcular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Suite, Philadelphia, PA, United States.
Mehdi MazloumiOcular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Suite, Philadelphia, PA, United States.
Arupa GangulyDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Jerry A ShieldsOcular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Suite, Philadelphia, PA, United States.
University of Pennsylvania · USThomas Jefferson University · USWills Eye Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The cancer genome atlas (TCGA) is a comprehensive project supported by the National Cancer Institute (NCI) in the United States to explore molecular alterations in cancer, including uveal melanoma (UM). This led to TCGA classification for UM. In this report, we review the American Joint Committee on Cancer (AJCC) classification and TCGA classification for UM from the NCI's Center for Cancer Genomics (NCI CCG) (based on enucleation specimens [n = 80 eyes]) and from Wills Eye Hospital (WEH) (based on fine needle aspiration biopsy [FNAB] specimens [n = 658 eyes]). We then compare accuracy and predictability of AJCC versus (vs.) TCGA. Methods: Review of published reports on AJCC and TCGA classification for UM was performed. Outcomes based on AJCC 7 Results: In the NCI CCG study, there were 80 eyes with UM sampled by enucleation (n = 77), resection (n = 2), or orbitotomy (n = 1) and analysis revealed four distinct genetic classes. Metastasis and death outcomes were subsequently evaluated per class in the WEH study. The WEH study reviewed 658 eyes with UM, sampled by FNAB, and found Class A (n = 342, 52%), B (n = 91, 14%), C (n = 118, 18%), and D (n = 107, 16%). Comparison by increasing class (A vs. B vs. C vs. D) revealed older mean patient age (P < 0.001), worse entering visual acuity (P < 0.001), greater distance from the optic disc (P < 0.001), larger tumor diameter (P < 0.001), and greater tumor thickness (P < 0.001). Regarding outcomes, more advanced TCGA class demonstrated increased 5-year risk for metastasis (4% vs. 20% vs. 33% vs. 63%,P < 0.001) with corresponding increasing hazard ratio (HR) (1.0 vs. 4.1, 10.1, 30.0,P= 0.01 for B vs. A andP < 0.001 for C vs. A and D vs. A) as well as increased 5-year estimated risk for death (1% vs. 0% vs. 9% vs. 23%,P < 0.001) with corresponding increasing HR (1 vs. NA vs. 3.1 vs. 13.7,P= 0.11 for C vs. A andP < 0.001 for D vs. A). Comparison of AJCC to TCGA classification revealed TCGA was superior in prediction of metastasis and death from UM. Conclusion: TCGA classification for UM is simple, accurate, and highly predictive of melanoma-related metastasis and death, more so than the AJCC classification.

Indexed as

Chromosomes, Human, Pair 3Chromosomes, Human, Pair 8Genes, NeoplasmGenome, HumanHumansMelanomaNeoplasm StagingPrognosisUveal MelanomaUveal NeoplasmsAJCCAmerican joint committee on cancerclassificationgeneticsTCGAthe cancer genome atlasuveal melanoma

Identifiers

PMID31755428
PMCPMC6896568
OpenAlexW2991444323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.