Evidence map›Paper›PMID 24699816›Full record

ArticlePloS one2014

RNASEL and MIR146A SNP-SNP interaction as a susceptibility factor for non-melanoma skin cancer.

Shohreh F Farzan, Margaret R Karagas, Brock C Christensen, Zhongze Li, Jacquelyn K Kuriger, Heather H Nelson, New Hampshire Skin Cancer Study

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.9field-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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Hormonal interventions in skin wounds - a mini review.Molecular medicine (Cambridge, Mass.) · 2024
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

7 authors at 2 institutions in 1 country.

Shohreh F FarzanDepartment of Community and Family Medicine, Section of Biostatistics and Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America.
Margaret R KaragasDepartment of Community and Family Medicine, Section of Biostatistics and Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America.
Brock C ChristensenDepartment of Community and Family Medicine, Section of Biostatistics and Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America; Department of Pharmacology and Toxicology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
Zhongze LiDepartment of Community and Family Medicine, Section of Biostatistics and Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, United States of America.
Jacquelyn K KurigerDivision of Epidemiology and Community Health, The Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America.
Heather H NelsonDivision of Epidemiology and Community Health, The Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America.
New Hampshire Skin Cancer Study
Dartmouth College · USUniversity of Minnesota · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
NONMELANOMA SKIN CANCER IN NEW HAMPSHIRER01CA057494 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 1993 to 2015
$10.9M
MOLECULAR EPIDEMIOLOGY OF NON-MELANOMA SKIN CANCERR01CA082354 · NCI · UNIVERSITY OF MINNESOTA · PI NELSON, HEATHER HAMMOND · 1999 to 2011
$4.2M
Training Program for Quantitative Population Sciences in CancerR25CA134286 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA, TOSTESON, TOR D · 2009 to 2018
$3.0M
MicroRNA related genetic variation and head and neck cancerR01DE022772 · NIDCR · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2013 to 2016
$2.7M
MicroRNA Related Genetic Variation in Bladder Cancer Recurrence and SurvivalR21CA175553 · NCI · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2013 to 2014
$381k
NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA057494NCI NIH HHS R01 CA082354NCI NIH HHS R21 CA175553NCI NIH HHS R25 CA134286NIDCR NIH HHS R01 DE022772
6 · The paper itself

Abstract

Immunity and inflammatory pathways are important in the genesis of non-melanoma skin cancers (NMSC). Functional genetic variation in immune modulators has the potential to affect disease etiology. We investigated associations between common variants in two key regulators, MIR146A and RNASEL, and their relation to NMSCs. Using a large population-based case-control study of basal cell (BCC) and squamous cell carcinoma (SCC), we investigated the impact of MIR146A SNP rs2910164 on cancer risk, and interaction with a SNP in one of its putative targets (RNASEL, rs486907). To examine associations between genotype and BCC and SCC, occurrence odds ratios (OR) and 95% confidence intervals (95%CI) were calculated using unconditional logistic regression, accounting for multiple confounding factors. We did not observe an overall change in the odds ratios for SCC or BCC among individuals carrying either of the RNASEL or MIR146A variants compared with those who were wild type at these loci. However, there was a sex-specific association between BCC and MIR146A in women (ORGC = 0.73, [95%CI = 0.52-1.03]; ORCC = 0.29, [95% CI = 0.14-0.61], p-trend<0.001), and a reduction in risk, albeit not statistically significant, associated with RNASEL and SCC in men (ORAG = 0.88, [95%CI = 0.65-1.19]; ORAA = 0.68, [95%CI = 0.43-1.08], p-trend = 0.10). Most striking was the strong interaction between the two genes. Among individuals carrying variant alleles of both rs2910164 and rs486907, we observed inverse relationships with SCC (ORSCC = 0.56, [95%CI = 0.38-0.81], p-interaction = 0.012) and BCC (ORBCC = 0.57, [95%CI = 0.40-0.80], p-interaction = 0.005). Our results suggest that genetic variation in immune and inflammatory regulators may influence susceptibility to NMSC, and novel SNP-SNP interaction for a microRNA and its target. These data suggest that RNASEL, an enzyme involved in RNA turnover, is controlled by miR-146a and may be important in NMSC etiology.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAgedBasal Cell CarcinomaCarcinoma, Squamous CellCase-Control StudiesEndoribonucleasesFemaleHumansMaleMelanomaMicroRNAsMiddle AgedSkin Neoplasms2-5A-dependent ribonucleaseEndoribonucleasesMicroRNAsMIRN146 microRNA, human

Identifiers

PMID24699816
PMCPMC3974770
OpenAlexW2088504954

What OpenQuestion 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 OpenQuestion graph.