Evidence map›Paper›PMID 31991610›Full record

ArticleCancers2020

Novel Genetic Variants of

Bingrong Zhou, Yu Chen Zhao, Hongliang Liu, Sheng Luo, Christopher I Amos, Jeffrey E Lee, Xin Li, Hongmei Nan, Qingyi Wei

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Bingrong ZhouDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.ORCID 0000-0002-7965-7624
Yu Chen ZhaoDuke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.
Hongliang LiuDuke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA.
Christopher I AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA.
Jeffrey E LeeDepartment of Surgical Oncology, the University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.
Xin LiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Hongmei NanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.
Duke University · USBrigham and Women's Hospital · USBaylor College of Medicine · USThe University of Texas MD Anderson Cancer Center · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
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
Duke Cancer Institute as part of the P30 Cancer Centre Support Grant NIH CA014236National Institutes of Health/National Cancer Institute R01 CA100264, 2P50CA093459 and R01CA133996National Institutes of Health/National Cancer Institute R01 CA49449, P01 CA87969, UM1 CA186107 and UM1 CA167552NCI NIH HHS P01 CA087969the National Natural Science Foundation of China 81573072
6 · The paper itself

Abstract

Because aberrant glycosylation is known to play a role in the progression of melanoma, we hypothesize that genetic variants of glycosylation pathway genes are associated with the survival of cutaneous melanoma (CM) patients. To test this hypothesis, we used a Cox proportional hazards regression model in a single-locus analysis to evaluate associations between 34,096 genetic variants of 227 glycosylation pathway genes and CM disease-specific survival (CMSS) using genotyping data from two previously published genome-wide association studies. The discovery dataset included 858 CM patients with 95 deaths from The University of Texas MD Anderson Cancer Center, and the replication dataset included 409 CM patients with 48 deaths from Harvard University nurse/physician cohorts. In the multivariable Cox regression analysis, we found that two novel single-nucleotide polymorphisms (SNPs) (

Indexed as

cutaneous melanomaexpression quantitative trait lociglycosylationsingle-nucleotide polymorphismsurvival analysis

Identifiers

PMID31991610
PMCPMC7072252
OpenAlexW3000835671

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.