Evidence map›Paper›PMID 30334361›Full record

ArticleCancer medicine2018

Transcriptome-wide association study identifies multiple genes and pathways associated with pancreatic cancer.

Liuyun Gong, Dan Zhang, Yutiantian Lei, Yuanjie Qian, Xinyue Tan, Suxia Han

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2018. 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
2.1field-weighted citation impact, top 10% 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, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. The novel mutation P36R in LRP5L contributes to congenital membranous cataract via inhibition of laminin γ1 and c-MAF.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

6 authors at 2 institutions in 1 country.

Liuyun GongDepartment of Oncology, The First Affiliated Hospital, College of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0002-6795-8235
Dan ZhangDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yutiantian LeiDepartment of Oncology, The First Affiliated Hospital, College of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yuanjie QianDepartment of Oncology, The First Affiliated Hospital, College of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xinyue TanDepartment of Oncology, The First Affiliated Hospital, College of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Suxia HanDepartment of Oncology, The First Affiliated Hospital, College of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0002-1513-7427
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify novel candidate genes for pancreatic cancer.

methodsWe performed a transcriptome-wide association study (TWAS) analysis of pancreatic cancer (PC). GWAS summary data were driven from the published studies of PC, totally involving 558 542 SNPs in 1896 individuals with pancreatic cancer and 1939 healthy controls. FUSION software was applied to the PC GWAS summary data for tissue-related TWAS analysis, including whole blood, peripheral blood, adipose, and pancreas. The functional relevance of identified genes with PC was further validated by Oncomine, STRING, and CluePedia tool.

resultsTranscriptome-wide association study analysis identified 19 genes significantly associated with PC, such as LRP5L (P value = 5.21 × 10

conclusionWe identified some novel candidate genes and pathways associated with PC. Our results provide novel clues for the genetic mechanism studies of pancreatic cancer.

Indexed as

Gene Regulatory NetworksBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPancreatic NeoplasmsPolymorphism, Single NucleotideSoftwareBiomarkers, Tumorgenome-wide association studypancreatic cancertranscriptome-wide association study

Identifiers

PMID30334361
PMCPMC6247024
OpenAlexW2897183105

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.