Evidence map›Paper›PMID 29726910›Full record

ArticleCarcinogenesis2018

Single-nucleotide polymorphisms of stemness genes predicted to regulate RNA splicing, microRNA and oncogenic signaling are associated with prostate cancer survival.

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

Open access · bronzeAbstract read
In one paragraph

Article in Carcinogenesis, 2018. 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
0.6field-weighted citation impact, top 32% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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
    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

10 authors at 3 institutions in 1 country.

Jennifer A FreedmanDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA.
Yanru WangDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA.
Xuechan LiDuke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
Hongliang LiuDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA.
Patricia G MoormanDuke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
Daniel J GeorgeDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA.
Norman H LeeDepartment of Pharmacology and Physiology, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Terry HyslopDuke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
Qingyi WeiDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA.
Steven R PatiernoDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA.
Duke Medical Center · USDuke University · USGeorge Washington University · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
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 R01 CA220314
6 · The paper itself

Abstract

Prostate cancer (PCa) is a clinically and molecularly heterogeneous disease, with variation in outcomes only partially predicted by grade and stage. Additional tools to distinguish indolent from aggressive disease are needed. Phenotypic characteristics of stemness correlate with poor cancer prognosis. Given this correlation, we identified single-nucleotide polymorphisms (SNPs) of stemness-related genes and examined their associations with PCa survival. SNPs within stemness-related genes were analyzed for association with overall survival of PCa in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Significant SNPs predicted to be functional were selected for linkage disequilibrium analysis and combined and stratified analyses. Identified SNPs were evaluated for association with gene expression. SNPs of CD44 (rs9666607), ABCC1 (rs35605 and rs212091) and GDF15 (rs1058587) were associated with PCa survival and predicted to be functional. A role for rs9666607 of CD44 and rs35605 of ABCC1 in RNA splicing regulation, rs212091 of ABCC1 in miRNA binding site activity and rs1058587 of GDF15 in causing an amino acid change was predicted. These SNPs represent potential novel prognostic markers for overall survival of PCa and support a contribution of the stemness pathway to PCa patient outcome.

Indexed as

AgedAged, 80 and overATP-Binding Cassette, Sub-Family C ProteinsBiomarkers, TumorCarcinogenesisGenetic Predisposition to DiseaseGrowth Differentiation Factor 15HumansHyaluronan ReceptorsMaleMicroRNAsMiddle AgedOncogenesPolymorphism, Single NucleotideProstateProstatic NeoplasmsATP-Binding Cassette, Sub-Family C ProteinsBiomarkers, TumorGrowth Differentiation Factor 15Hyaluronan ReceptorsMicroRNAs

Identifiers

PMID29726910
PMCPMC6248658
OpenAlexW2800005080

What OpenQuestion holds

Textmetadata
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.