Evidence map›Paper›PMID 24163255›Full record

ArticleNucleic acids research2014

The pancreatic expression database: recent extensions and updates.

Abu Z Dayem Ullah, Rosalind J Cutts, Millika Ghetia, Emanuela Gadaleta, Stephan A Hahn, Tatjana Crnogorac-Jurcevic, Nicholas R Lemoine, Claude Chelala

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Identification of a Three-Biomarker Panel in Urine for Early Detection of Pancreatic Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
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  17. Novel strategies for managing pancreatic cancer.World journal of gastroenterology · 2014
    Review
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  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

8 authors.

Abu Z Dayem UllahCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK and Molecular GI-Onkologie (MGO), University of Bochum, Germany.
Rosalind J Cutts
Millika Ghetia
Emanuela Gadaleta
Stephan A Hahn
Tatjana Crnogorac-Jurcevic
Nicholas R Lemoine
Claude Chelala

Funding

Cancer Research UK 12008Cancer Research UK 15310
6 · The paper itself

Abstract

The Pancreatic Expression Database (PED, http://www.pancreasexpression.org) is the only device currently available for mining of pancreatic cancer literature data. It brings together the largest collection of multidimensional pancreatic data from the literature including genomic, proteomic, microRNA, methylomic and transcriptomic profiles. PED allows the user to ask specific questions on the observed levels of deregulation among a broad range of specimen/experimental types including healthy/patient tissue and body fluid specimens, cell lines and murine models as well as related treatments/drugs data. Here we provide an update to PED, which has been previously featured in the Database issue of this journal. Briefly, PED data content has been substantially increased and expanded to cover methylomics studies. We introduced an extensive controlled vocabulary that records specific details on the samples and added data from large-scale meta-analysis studies. The web interface has been improved/redesigned with a quick search option to rapidly extract information about a gene/protein of interest and an upload option allowing users to add their own data to PED. We added a user guide and implemented integrated graphical tools to overlay and visualize retrieved information. Interoperability with biomart-compatible data sets was significantly improved to allow integrative queries with pancreatic cancer data.

Indexed as

Databases, GeneticGene ExpressionAnimalsHumansInternetMicePancreasPancreatic Neoplasms

Identifiers

PMID24163255
PMCPMC3965100

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.