Evidence map›Paper›PMID 33842617›Full record

ArticleAnnals of translational medicine2021

Association of genetic variants of

Haijiao Wang, Hongliang Liu, Wei Dai, Sheng Luo, Christopher I Amos, Jeffrey E Lee, Xin Li, Ying Yue, Hongmei Nan, Qingyi Wei

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Polyunsaturated fatty acid metabolism in the retinal pigment epithelium and its association with outer retinal disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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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

10 authors at 7 institutions in 2 countries.

Haijiao WangDepartment of Gynecology Oncology, The First Hospital of Jilin University, Changchun, Jilin, China.
Hongliang LiuDuke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
Wei DaiDepartment of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Christopher I AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Jeffrey E LeeDepartment of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Xin LiDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Ying YueDepartment of Gynecology Oncology, The First Hospital of Jilin University, Changchun, Jilin, China.
Hongmei NanDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
Duke University · USIndiana University – Purdue University Indianapolis · USBaylor College of Medicine · USFirst Hospital of Jilin University · CNJilin University · CNNanfang Hospital · CNThe University of Texas MD Anderson Cancer Center · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
UT M.D. Anderson Cancer Center SPORE in MelanomaP50CA093459 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GRIMM, ELIZABETH A · 2004 to 2014
$23.7M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Genetic Predictors for DNA Repair Phenotype in CMMR01CA100264 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WEI, QINGYI · 2004 to 2008
$1.5M
Statistical Methods for Gene Environment Interactions In Lung CancerR01CA133996 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 2007 to 2009
$790k
NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA093459NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA100264NCI NIH HHS R01 CA133996NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundPeroxisomes are ubiquitous and dynamic organelles that are involved in the metabolism of reactive oxygen species (ROS) and lipids. However, whether genetic variants in the peroxisome pathway genes are associated with survival in patients with melanoma has not been established. Therefore, our aim was to identify additional genetic variants in the peroxisome pathway that may provide new prognostic biomarkers for cutaneous melanoma (CM).

methodsWe assessed the associations between 8,397 common single-nucleotide polymorphisms (SNPs) in 88 peroxisome pathway genes and CM disease-specific survival (CMSS) in a two-stage analysis. For the discovery, we extracted the data from a published genome-wide association study from The University of Texas MD Anderson Cancer Center (MDACC). We then replicated the results in another dataset from the Nurse Health Study (NHS)/Health Professionals Follow-up Study (HPFS).

resultsOverall, 95 (11.1%) patients in the MDACC dataset and 48 (11.7%) patients in the NHS/HPFS dataset died of CM. We found 27 significant SNPs in the peroxisome pathway genes to be associated with CMSS in both datasets after multiple comparison correction using the Bayesian false-discovery probability method. In stepwise Cox proportional hazards regression analysis, with adjustment for other covariates and previously published SNPs in the MDACC dataset, we identified 2 independent SNPs (

conclusionsOnce our findings are replicated by other investigators, these genetic variants may serve as novel biomarkers for the prediction of survival in patients with CM.

Indexed as

Cutaneous melanoma (CM)expression quantitative trait locimelanoma-specific survivalperoxisomesingle-nucleotide polymorphism (SNP)

Identifiers

PMID33842617
PMCPMC8033299
OpenAlexW3126289236

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.