Evidence map›Paper›PMID 32150843›Full record

ArticleInternational journal of molecular sciences2020

A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma.

Tze-An Yuan, Vandy Yourk, Ali Farhat, Katherine L Guo, Angela Garcia, Frank L Meyskens, Feng Liu-Smith

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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, 12 citations in OpenAlex.

  1. A Narrative Review of the Role of Estrogen (Receptors) in Melanoma.International journal of molecular sciences · 2024
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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 at 2 institutions in 1 country.

Tze-An YuanProgram in Public Health, University of California Irvine, Irvine, CA 92697, USA.ORCID 0000-0002-6383-5983
Vandy YourkDepartment of Neurobiology and Behavior, School of Biological Sciences, University of California Irvine, Irvine, CA 92697, USA.
Ali FarhatDepartment of Biomedical Engineering, The Henry Samueli School of Engineering, University of California Irvine, Irvine, CA 92697, USA.
Katherine L GuoDepartment of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, CA 90024, USA.
Angela GarciaDepartment of Medicine, School of Medicine, University of California Irvine, Irvine, CA 92697, USA.
Frank L MeyskensProgram in Public Health, University of California Irvine, Irvine, CA 92697, USA.
Feng Liu-SmithDepartment of Medicine, School of Medicine, University of California Irvine, Irvine, CA 92697, USA.
University of California, Irvine · USUniversity of California, Los Angeles · US

Funding

Melanoma Research Alliance Young Investigation Award 509278NIH HHS CA 160756
6 · The paper itself

Abstract

The mechanism of gender disparity in cutaneous melanoma incidence remains unclear. Steroid hormones including estrogens have long been implicated in the course of melanoma, but the conclusion is controversial. Estrogen receptors (ERs) and insulin-like growth factor 1 receptor (IGF1R) show extensive crosstalk in cancer development, but how the ER/IGF1R network impacts melanoma is currently unclear. Here we studied the melanoma associations of selected SNPs from the ER/IGF1R network. Part of the International Genes, Environment, and Melanoma (GEM) cohort was used as a discovery set, and the Gene Environment Association Studies Initiative (GENEVA) dataset served as a validation set. Based on the associations with other malignant disease conditions, thirteen single nucleotide polymorphism (SNP) variants in ESR1, ESR2, IGF1, and IGF1R were selected for candidate gene association analyses. The rs1520220 in IGF1 and rs2229765 in IGF1R variants were significantly associated with melanoma risk in the GEM dataset after Benjamini-Hochberg multiple comparison correction, although they were not validated in the GENEVA set. The discrepancy may be caused by the multiple melanoma characteristics in the GEM patients. Further analysis of gender disparity was carried out for IGF1 and IGF1R SNPs in the GEM dataset. The GG phenotype in IGF1 rs1520220 (recessive model) presented an increased risk of melanoma (OR = 8.11, 95% CI: 2.20, 52.5,

Indexed as

Polymorphism, Single NucleotideAdolescentAdultAgedBiomarkers, TumorCase-Control StudiesChildChild, PreschoolEstrogen Receptor alphaEstrogen Receptor betaFemaleFollow-Up StudiesGenotypeHumansInfantInfant, NewbornBiomarkers, TumorESR1 protein, humanESR2 protein, humanEstrogen Receptor alphaEstrogen Receptor betaIGF1 protein, humanIGF1R protein, humanInsulin-Like Growth Factor IReceptor, IGF Type 1cutaneous melanomaestrogen receptorsgender disparitiesgenetic variantsinsulin-like growth factor 1insulin-like growth factor 1 receptor

Identifiers

PMID32150843
PMCPMC7084478
OpenAlexW3010591361

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.