Evidence map›Paper›PMID 36739981›Full record

ArticleOphthalmology2023

Validation of the Prognostic Usefulness of the Gene Expression Profiling Test in Patients with Uveal Melanoma.

Sofia Miguez, Ryan Y Lee, Alison X Chan, Patrick C Demkowicz, Bailey S C L Jones, Christopher P Long, David H Abramson, Marcus Bosenberg, Mario Sznol, Harriet Kluger and 4 more

Open access · greenAbstract read
In one paragraph

Article in Ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

14 authors at 5 institutions in 1 country.

Sofia MiguezYale University School of Medicine, New Haven, Connecticut.
Ryan Y LeeYale University School of Medicine, New Haven, Connecticut.
Alison X ChanThe Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, California.
Patrick C DemkowiczYale University School of Medicine, New Haven, Connecticut.
Bailey S C L JonesDepartment of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, Connecticut.
Christopher P LongDepartment of Ophthalmology, University of Southern California, Los Angeles, California.
David H AbramsonDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Marcus BosenbergDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut; Yale Cancer Center, Yale University, New Haven, Connecticut.
Mario SznolYale Cancer Center, Yale University, New Haven, Connecticut; Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.
Harriet KlugerYale Cancer Center, Yale University, New Haven, Connecticut; Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.
Michael H GoldbaumThe Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, California.
Jasmine H FrancisDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Renelle Pointdujour-LimDepartment of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, Connecticut; Yale Cancer Center, Yale University, New Haven, Connecticut.
Mathieu F BakhoumDepartment of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, Connecticut; Department of Pathology, Yale University School of Medicine, New Haven, Connecticut; Yale Cancer Center, Yale University, New Haven, Connecticut. Electronic address: mathieu.bakhoum@gmail.com.
Yale Cancer Center · USYale University · USMemorial Sloan Kettering Cancer Center · USUniversity of California San Diego · USUniversity of Southern California · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI Eric P. Winer · 1985 to 2026
$85.0M
NIA Short Term Research Training: Students in Health Professional SchoolsT35AG049685 · NIA · YALE UNIVERSITY · PI Sarwat I Chaudhry, Terri R. Fried · 2016 to 2026
$804k
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016359NCI NIH HHS P30 CA016672NIA NIH HHS T35 AG049685
6 · The paper itself

Abstract

purposeTo validate the prognostic usefulness of gene expression profile (GEP) testing in patients with uveal melanoma. To determine whether combining tumor size with the GEP classification provides additional prognostic value.

designRetrospective analysis.

participantsPatients with a diagnosis of choroidal melanoma examined at Yale New Haven Hospital; University of California, San Diego; and Memorial Sloan Kettering Cancer Center.

methodsPatients' demographic and clinical data and tumor characteristics were collected. Univariate and multivariate Cox hazard regression analysis were used to assess the association between tumor characteristics and GEP classification with metastasis as an outcome.

main outcome measuresMetastasis-free survival (MFS).

resultsOf the 337 individuals included in the study, 87 demonstrated metastases. The mean follow-up time was 37.2 (standard deviation [SD], 40.2) months for patients with metastases and 55.0 (SD, 49.3) months for those without metastases. Tumors of larger thickness and GEP class 2 (vs. class 1) were associated significantly with increased risk of metastasis. Tumor thickness showed better prognostic usefulness than GEP classification (Wald statistic, 40.7 and 24.2, respectively). Class 2 tumors with a thickness of 7.0 mm or more were associated with increased risk of metastasis than tumors with a thickness of < 7.0 mm (hazard ratio [HR], 3.23; 95% confidence interval [CI], 1.61-6.51), whereas class 1 tumors with a thickness of 9.0 mm or more were associated with increased risk of metastasis than tumors with a thickness of < 9.0 mm (HR, 2.07; 95% CI, 0.86-4.99). No difference in MFS was found between patients with class 1A tumors compared with those with class 1B tumors (P = 0.8). Patients with class 2 tumors showed an observed 5-year MFS of 47.5% (95% CI, 36.0%-62.8%).

conclusionsTumor size was the most significant predictor of metastasis and provided additional prognostic value independent of GEP classification. In addition, rates of metastasis for class 2 tumors were lower than estimates reported by Castle Bioscience, and no difference in rates of metastasis were found between class 1A and 1B tumors. This indicates that tumor size should be accounted for when relying on GEP for prognostication and that patients with GEP class 1A or 1B tumors may benefit from the same metastatic surveillance protocols. FINANCIAL DISCLOSURE(S): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Indexed as

MelanomaUveal NeoplasmsGene Expression ProfilingHumansPrognosisRetrospective StudiesUveal MelanomaGene expression profileMetastasisOcular oncologyPrognosticationUveal melanoma

Identifiers

PMID36739981
PMCPMC10619207
OpenAlexW4319067681

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.