Evidence map›Paper›PMID 28469398›Full record

ArticleBiomarker insights2017

An Integrative Genomics Approach for Associating Genome-Wide Association Studies Information With Localized and Metastatic Prostate Cancer Phenotypes.

Chindo Hicks, Ritika Ramani, Oliver Sartor, Ritu Bhalla, Lucio Miele, Zodwa Dlamini, Njabulo Gumede

Abstract read
In one paragraph

Article in Biomarker insights, 2017. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. 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.

Chindo HicksDepartment of Genetics, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, USA.
Ritika RamaniSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Oliver SartorDepartment of Medicine, Tulane University, New Orleans, LA, USA.
Ritu BhallaDepartment of Pathology, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, USA.
Lucio MieleDepartment of Genetics, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, USA.
Zodwa DlaminiDepartment of Biology, Mangosuthu University of Technology, Durban, South Africa.
Njabulo GumedeDepartment of Biology, Mangosuthu University of Technology, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput genotyping has enabled discovery of genetic variants associated with an increased risk of developing prostate cancer using genome-wide association studies (GWAS). The goal of this study was to associate GWAS information of patients with primary organ-confined and metastatic prostate cancer using gene expression data and to identify molecular networks and biological pathways enriched for genetic susceptibility variants involved in the 2 disease states. The analysis revealed gene signatures for the 2 disease states and a gene signature distinguishing the 2 patient groups. In addition, the analysis revealed molecular networks and biological pathways enriched for genetic susceptibility variants. The discovered pathways include the androgen, apoptosis, and insulinlike growth factor signaling pathways. This analysis established putative functional bridges between GWAS discoveries and the biological pathways involved in primary organ-confined and metastatic prostate cancer.

Indexed as

GWASIntegrative genomics analysisprimary metastatic prostate cancer

Identifiers

PMID28469398
PMCPMC5391982

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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.