ArticleNucleic acids research2011
DDPC: Dragon Database of Genes associated with Prostate Cancer.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
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.
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Who cites it
28 citing papers in PubMed, 45 citations in OpenAlex.
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- Data-driven translational prostate cancer research: from biomarker discovery to clinical decision.Journal of translational medicine · 2020Review
- Redox control of vascular biology.BioFactors (Oxford, England) · 2020Review
- DES-ROD: Exploring Literature to Develop New Links between RNA Oxidation and Human Diseases.Oxidative medicine and cellular longevity · 2020Article
- Literature-Based Enrichment Insights into Redox Control of Vascular Biology.Oxidative medicine and cellular longevity · 2019Review
- DES-Mutation: System for Exploring Links of Mutations and Diseases.Scientific reports · 2018Article
- ESCC ATLAS: A population wide compendium of biomarkers for Esophageal Squamous Cell Carcinoma.Scientific reports · 2018Article
- DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species.Scientific reports · 2017Article
- DES-ncRNA: A knowledgebase for exploring information about human micro and long noncoding RNAs based on literature-mining.RNA biology · 2017Article
- Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network.BMC bioinformatics · 2017Article
- DESM: portal for microbial knowledge exploration systems.Nucleic acids research · 2016Article
- CoReCG: a comprehensive database of genes associated with colon-rectal cancer.Database : the journal of biological databases and curation · 2016Article
- Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.Advances in experimental medicine and biology · 2016Review
- Fine-mapping the 2q37 and 17q11.2-q22 loci for novel genes and sequence variants associated with a genetic predisposition to prostate cancer.International journal of cancer · 2015Article
- A computational approach to identifying gene-microRNA modules in cancer.PLoS computational biology · 2015Article
- Human cancer databases (review).Oncology reports · 2015Review
- OncoSearch: cancer gene search engine with literature evidence.Nucleic acids research · 2014Article
- WMAXC: a weighted maximum clique method for identifying condition-specific sub-network.PloS one · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PC) is one of the most commonly diagnosed cancers in men. PC is relatively difficult to diagnose due to a lack of clear early symptoms. Extensive research of PC has led to the availability of a large amount of data on PC. Several hundred genes are implicated in different stages of PC, which may help in developing diagnostic methods or even cures. In spite of this accumulated information, effective diagnostics and treatments remain evasive. We have developed Dragon Database of Genes associated with Prostate Cancer (DDPC) as an integrated knowledgebase of genes experimentally verified as implicated in PC. DDPC is distinctive from other databases in that (i) it provides pre-compiled biomedical text-mining information on PC, which otherwise require tedious computational analyses, (ii) it integrates data on molecular interactions, pathways, gene ontologies, gene regulation at molecular level, predicted transcription factor binding sites on promoters of PC implicated genes and transcription factors that correspond to these binding sites and (iii) it contains DrugBank data on drugs associated with PC. We believe this resource will serve as a source of useful information for research on PC. DDPC is freely accessible for academic and non-profit users via http://apps.sanbi.ac.za/ddpc/ and http://cbrc.kaust.edu.sa/ddpc/.
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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.