Evidence map›Paper›PMID 28510291›Full record

ArticleInternational journal of cancer2017

Associations between RNA splicing regulatory variants of stemness-related genes and racial disparities in susceptibility to prostate cancer.

Yanru Wang, Jennifer A Freedman, Hongliang Liu, Patricia G Moorman, Terry Hyslop, Daniel J George, Norman H Lee, Steven R Patierno, Qingyi Wei

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

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  17. Alternative RNA Splicing as a Potential Major Source of Untapped Molecular Targets in Precision Oncology and Cancer Disparities.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
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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 1 country.

Yanru WangDuke Cancer Institute, Duke University Medical Center, Durham, NC.
Jennifer A FreedmanDuke Cancer Institute, Duke University Medical Center, Durham, NC.
Hongliang LiuDuke Cancer Institute, Duke University Medical Center, Durham, NC.ORCID 0000-0001-7639-0904
Patricia G MoormanDuke Cancer Institute, Duke University Medical Center, Durham, NC.
Terry HyslopDuke Cancer Institute, Duke University Medical Center, Durham, NC.
Daniel J GeorgeDuke Cancer Institute, Duke University Medical Center, Durham, NC.
Norman H LeeDepartment of Pharmacology and Physiology, The George Washington University School of Medicine and Health Sciences, Washington, DC.
Steven R PatiernoDuke Cancer Institute, Duke University Medical Center, Durham, NC.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, NC.ORCID 0000-0002-3845-9445
Duke Medical Center · USZero to Three · USDuke University · USGeorge Washington University · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Race-related alternative splicing: novel targets in prostate cancerR01CA220314 · NCI · DUKE UNIVERSITY · PI PATIERNO, STEVEN R · 2017 to 2021
$1.8M
Pilot Project 2P20CA202925 · NCI · DUKE UNIVERSITY · PI BARRETT, NADINE JOSANN · 2016 to 2019
$1.3M
Project 2: Identifying and modulating genetic modifiers of GLI1 activation in inflammatory breast cancer.P20CA202924 · NCI · NORTH CAROLINA CENTRAL UNIVERSITY · PI WILLIAMS, KEVIN PETER · 2016 to 2019
$870k
NCI NIH HHS P20 CA202924NCI NIH HHS P20 CA202925NCI NIH HHS P30 CA014236NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA220314
6 · The paper itself

Abstract

Evidence suggests that cells with a stemness phenotype play a pivotal role in oncogenesis, and prostate cells exhibiting this phenotype have been identified. We used two genome-wide association study (GWAS) datasets of African descendants, from the Multiethnic/Minority Cohort Study of Diet and Cancer (MEC) and the Ghana Prostate Study, and two GWAS datasets of non-Hispanic whites, from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial and the Breast and Prostate Cancer Cohort Consortium (BPC3), to analyze the associations between genetic variants of stemness-related genes and racial disparities in susceptibility to prostate cancer. We evaluated associations of single-nucleotide polymorphisms (SNPs) in 25 stemness-related genes with prostate cancer risk in 1,609 cases and 2,550 controls of non-Hispanic whites (4,934 SNPs) and 1,144 cases and 1,116 controls of African descendants (5,448 SNPs) with correction by false discovery rate ≤0.2. We identified 32 SNPs in five genes (TP63, ALDH1A1, WNT1, MET and EGFR) that were significantly associated with prostate cancer risk, of which six SNPs in three genes (TP63, ALDH1A1 and WNT1) and eight EGFR SNPs showed heterogeneity in susceptibility between these two racial groups. In addition, 13 SNPs in MET and one in ALDH1A1 were found only in African descendants. The in silico bioinformatics analyses revealed that EGFR rs2072454 and SNPs in linkage with the identified SNPs in MET and ALDH1A1 (r

Indexed as

RNA SplicingBlack or African AmericanDatasets as TopicGene Regulatory NetworksGenetic HeterogeneityGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleNeoplastic Stem CellsPolymorphism, Single NucleotideProstatic NeoplasmsWhite Peoplecancer disparities among racial groupsprostate cancer susceptibilityRNA splicingsingle-nucleotide polymorphismstemness

Identifiers

PMID28510291
PMCPMC5512873
OpenAlexW2615033551

What OpenQuestion holds

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LicenceTDM
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.