Evidence map›Paper›PMID 19580656›Full record

ArticleBMC cancer2009

DDEC: Dragon database of genes implicated in esophageal cancer.

Magbubah Essack, Aleksandar Radovanovic, Ulf Schaefer, Sebastian Schmeier, Sundararajan V Seshadri, Alan Christoffels, Mandeep Kaur, Vladimir B Bajic

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02577341 (A Prospective Randomized Phase Ⅱ Study of Nimotuzumab Combined With Chemoradiotherapy for Unresectable, Locally Advanced Squamous Cell Lung Cancer), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.2field-weighted citation impact, top 22% 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.

NCT02577341 phase2completednot on this mapstarted 2015, after this paper: background citation

A Prospective Randomized Phase Ⅱ Study of Nimotuzumab Combined With Chemoradiotherapy for Unresectable, Locally Advanced Squamous Cell Lung Cancer

TypeinterventionalSponsorSun Yat-sen UniversityRan2015 to 2020Enrolled122ConditionsNon-small-cell Lung CancerArmsNimotuzumab, docetaxel and cisplatin, daily RT to the chest
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer.Database : the journal of biological databases and curation · 2023
    Article
  3. Article
  4. Article
  5. Redox control of vascular biology.BioFactors (Oxford, England) · 2020
    Review
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  17. Review
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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 at 2 institutions in 2 countries.

Magbubah EssackSouth African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa. magbubah@sanbi.ac.za
Aleksandar Radovanovic
Ulf Schaefer
Sebastian Schmeier
Sundararajan V Seshadri
Alan Christoffels
Mandeep Kaur
Vladimir B Bajic
University of the Western Cape · ZAKing Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal cancer ranks eighth in order of cancer occurrence. Its lethality primarily stems from inability to detect the disease during the early organ-confined stage and the lack of effective therapies for advanced-stage disease. Moreover, the understanding of molecular processes involved in esophageal cancer is not complete, hampering the development of efficient diagnostics and therapy. Efforts made by the scientific community to improve the survival rate of esophageal cancer have resulted in a wealth of scattered information that is difficult to find and not easily amendable to data-mining. To reduce this gap and to complement available cancer related bioinformatic resources, we have developed a comprehensive database (Dragon Database of Genes Implicated in Esophageal Cancer) with esophageal cancer related information, as an integrated knowledge database aimed at representing a gateway to esophageal cancer related data. DESCRIPTION: Manually curated 529 genes differentially expressed in EC are contained in the database. We extracted and analyzed the promoter regions of these genes and complemented gene-related information with transcription factors that potentially control them. We further, precompiled text-mined and data-mined reports about each of these genes to allow for easy exploration of information about associations of EC-implicated genes with other human genes and proteins, metabolites and enzymes, toxins, chemicals with pharmacological effects, disease concepts and human anatomy. The resulting database, DDEC, has a useful feature to display potential associations that are rarely reported and thus difficult to identify. Moreover, DDEC enables inspection of potentially new 'association hypotheses' generated based on the precompiled reports.

conclusionWe hope that this resource will serve as a useful complement to the existing public resources and as a good starting point for researchers and physicians interested in EC genetics. DDEC is freely accessible to academic and non-profit users at http://apps.sanbi.ac.za/ddec/. DDEC will be updated twice a year.

Indexed as

Databases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticDatabase Management SystemsDatabases, ProteinEsophageal NeoplasmsFemaleHumansInformation Storage and RetrievalMaleModels, GeneticOvarian NeoplasmsSoftwareTreatment OutcomeUser-Computer Interface

Identifiers

PMID19580656
PMCPMC2711974
OpenAlexW2022669602

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.