Evidence map›Paper›PMID 33837773›Full record

SynthesisJournal of the National Cancer Institute2021

Genomic Risk Score for Melanoma in a Prospective Study of Older Individuals.

Andrew Bakshi, Mabel Yan, Moeen Riaz, Galina Polekhina, Suzanne G Orchard, Jane Tiller, Rory Wolfe, Amit Joshi, Yin Cao, Aideen M McInerney-Leo and 11 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the National Cancer Institute, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Artificial intelligence and skin cancer.Frontiers in medicine · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Genotypic vs Phenotypic Risk Assessment for Melanoma.Journal of the National Cancer Institute · 2021
    Article
  10. Melanoma susceptibility: an update on genetic and epigenetic findings.International journal of molecular epidemiology and genetics · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 8 institutions in 2 countries.

Andrew BakshiDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0001-5650-7036
Mabel YanDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Moeen RiazDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Galina PolekhinaDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0001-9535-9291
Suzanne G OrchardDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0003-0211-3183
Jane TillerDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0003-3906-6632
Rory WolfeDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Amit JoshiClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; MGH Cancer Center, Boston, MA, USA.
Yin CaoDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA; Alvin J. Siteman Cancer Center, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0001-9835-7662
Aideen M McInerney-LeoThe University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, USA.ORCID 0000-0002-0059-5732
Tatiane YanesThe University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, USA.ORCID 0000-0002-3905-3025
Monika JandaThe University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, USA.ORCID 0000-0002-1728-8085
H Peter SoyerThe University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, USA.
Anne E CustSydney School of Public Health and Melanoma Institute Australia, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-5331-6370
Matthew H LawStatistical Genetics Lab, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.ORCID 0000-0002-4303-8821
Peter GibbsDepartment of Anatomical Pathology, Alfred Hospital, Melbourne, Victoria, Australia.
Catriona McLeanDepartment of Anatomical Pathology, Alfred Hospital, Melbourne, Victoria, Australia.
Andrew T ChanClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; MGH Cancer Center, Boston, MA, USA.ORCID 0000-0001-7284-6767
John J McNeilDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Victoria J MarDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Paul LacazeDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0002-0902-6798
Monash University · AUHarvard University · USThe Alfred Hospital · AUAlfred Health · AUQueensland University of Technology · AUThe University of Queensland · AUThe University of Sydney · AUWashington University in St. Louis · US

Funding

ASPirin in Reducing Events in the ElderlyU01AG029824 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI MCNEIL, JOHN JAMES, MURRAY, ANNE M · 2009 to 2018
$64.6M
Main Administrative CoreU19AG062682 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI CHAN, ANDREW T, MURRAY, ANNE M · 2019 to 2023
$42.9M
Recombinant and Chemo-/Bio-Orthogonal Synthesis of Liposomal ThrombomodulinR01HL102604 · NHLBI · CLEVELAND STATE UNIVERSITY · PI SUN, XUE-LONG · 2010 to 2013
$1.2M
Optimizing the Impact of Aspirin for ChemopreventionK07CA218377 · NCI · WASHINGTON UNIVERSITY · PI CAO, YIN · 2018 to 2021
$504k
NCI NIH HHS K07 CA218377NIA NIH HHS U01 AG029824NIA NIH HHS U19 AG062682
6 · The paper itself

Abstract

backgroundRecent genome-wide association meta-analysis for melanoma doubled the number of previously identified variants. We assessed the performance of an updated polygenic risk score (PRS) in a population of older individuals, where melanoma incidence and cumulative ultraviolet radiation exposure is greatest.

methodsWe assessed a PRS for cutaneous melanoma comprising 55 variants in a prospective study of 12 712 individuals in the ASPirin in Reducing Events in the Elderly Trial. We evaluated incident melanomas diagnosed during the trial and prevalent melanomas diagnosed preenrolment (self-reported). Multivariable models examined associations between PRS as a continuous variable (per SD) and categorical (low-risk [0%-20%], medium-risk [21%-80%], high-risk [81%-100%] groups) with incident melanoma. Logistic regression examined the association between PRS and prevalent melanoma.

resultsAt baseline, mean participant age was 75 years; 55.0% were female, and 528 (4.2%) had prevalent melanomas. During follow-up (median = 4.7 years), 120 (1.0%) incident cutaneous melanomas occurred, 98 of which were in participants with no history. PRS was associated with incident melanoma (hazard ratio = 1.46 per SD, 95% confidence interval [CI] = 1.20 to 1.77) and prevalent melanoma (odds ratio [OR] = 1.55 per SD, 95% CI = 1.42 to 1.69). Participants in the highest-risk PRS group had increased risk compared with the low-risk group for incident melanoma (OR = 2.51, 95% CI = 1.28 to 4.92) and prevalent melanoma (OR = 3.66, 95% CI = 2.69 to 5.05). When stratifying by sex, only males had an association between the PRS and incident melanoma, whereas both sexes had an association between the PRS and prevalent melanoma.

conclusionsA genomic risk score is associated with melanoma risk in older individuals and may contribute to targeted surveillance.

Indexed as

MelanomaSkin NeoplasmsAgedClinical Trials as TopicFemaleGenome-Wide Association StudyGenomicsHumansMaleProspective StudiesRisk FactorsUltraviolet Rays

Identifiers

PMID33837773
PMCPMC8921762
OpenAlexW3146985094

What OpenQuestion holds

Textmetadata
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.