Evidence map›Paper›PMID 25803826›Full record

ArticlePloS one2015

Use of genome-wide association studies for cancer research and drug repositioning.

Jizhun Zhang, Kewei Jiang, Liang Lv, Hui Wang, Zhanlong Shen, Zhidong Gao, Bo Wang, Yang Yang, Yingjiang Ye, Shan Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Frontiers in pharmacology · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Overcoming cancer therapeutic bottleneck by drug repurposing.Signal transduction and targeted therapy · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System.Journal of visualized experiments : JoVE · 2016
    Article
  14. Review
  15. Review
  16. 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 2 institutions in 1 country.

Jizhun ZhangDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Kewei JiangDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Liang LvDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Hui WangDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, 100044, PR China.
Zhanlong ShenDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Zhidong GaoDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Bo WangDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Yang YangDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Yingjiang YeDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Shan WangDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although genome-wide association studies have identified many risk loci associated with colorectal cancer, the molecular basis of these associations are still unclear. We aimed to infer biological insights and highlight candidate genes of interest within GWAS risk loci. We used an in silico pipeline based on functional annotation, quantitative trait loci mapping of cis-acting gene, PubMed text-mining, protein-protein interaction studies, genetic overlaps with cancer somatic mutations and knockout mouse phenotypes, and functional enrichment analysis to prioritize the candidate genes at the colorectal cancer risk loci. Based on these analyses, we observed that these genes were the targets of approved therapies for colorectal cancer, and suggested that drugs approved for other indications may be repurposed for the treatment of colorectal cancer. This study highlights the use of publicly available data as a cost effective solution to derive biological insights, and provides an empirical evidence that the molecular basis of colorectal cancer can provide important leads for the discovery of new drugs.

Indexed as

Drug RepositioningGenome-Wide Association StudyPharmacogeneticsAllelesColorectal NeoplasmsComputational BiologyDatabases, GeneticGene Expression Regulation, NeoplasticGenetic Association StudiesGenetic Predisposition to DiseaseGenomicsHumansMolecular Sequence AnnotationMutationNeoplasmsPhenotype

Identifiers

PMID25803826
PMCPMC4372357
OpenAlexW2050574248

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.