Document Detail


Bioprospecting the Bibleome: Adding Evidence to Support the Inflammatory Basis of Cancer.
MedLine Citation:
PMID:  24294537     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND CANCER SIGNIFICANCE AND QUESTION: BioProspecting is a novel approach that enabled our team to mine genetic marker related data from the New England Journal of Medicine (NEJM) utilizing Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) and the Human Gene Ontology (HUGO). Genes associated with disorders using the Multi-threaded Clinical Vocabulary Server (MCVS) Natural Language Processing (NLP) engine, whose output was represented as an ontology-network incorporating the semantic encodings of the literature. Metabolic functions were used to identify potentially novel relationships between (genes or proteins) and (diseases or drugs). In an effort to identify genes important to transformation of normal tissue into a malignancy, we went on to identify the genes linked to multiple cancers and then mapped those genes to metabolic and signaling pathways.
FINDINGS: Ten Genes were related to 30 or more cancers, 72 genes were related to 20 or more cancers and 191 genes were related to 10 or more cancers. The three pathways most often associated with the top 200 novel cancer markers were the Acute Phase Response Signaling, the Glucocorticoid Receptor Signaling and the Hepatic Fibrosis/Hepatic Stellate Cell Activation pathway.
MEANING AND IMPLICATIONS OF THE ADVANCE: This association highlights the role of inflammation in the induction and perhaps transformation of mortal cells into cancers.
MAJOR FINDINGS: BioProspecting can speed our identification and understanding of synergies between articles in the biomedical literature. In this case we found considerable synergy between the Oncology literature and the Sepsis literature. By mapping these associations to known metabolic, regulatory and signaling pathways we were able to identify further evidence for the inflammatory basis of cancer.
Authors:
Peter L Elkin; Andrew Frankel; Ester H Liebow-Liebling; Jared R Elkin; Mark S Tuttle; Steven H Brown
Related Documents :
24926617 - P53-directed translational control can shape and expand the universe of p53 target genes.
25456067 - Unliganded thyroid hormone receptor alpha regulates developmental timing via gene repre...
23735997 - Impacts of chronic low-level nicotine exposure on caenorhabditis elegans reproduction: ...
23921257 - Rna-seq analysis reveals genes associated with resistance to taura syndrome virus (tsv)...
12242487 - Phenotype of per1- and per2-expressing neurons in the suprachiasmatic nucleus of a diur...
17851837 - Epidermal growth factor (egf) a61g polymorphism and egf gene expression in normal colon...
Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Metabolomics : open access     Volume:  2     ISSN:  2153-0769     ISO Abbreviation:  Metabolomics (Los Angel)     Publication Date:  2012 May 
Date Detail:
Created Date:  2013-12-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101590113     Medline TA:  Metabolomics (Los Angel)     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Center for Biomedical Informatics, Mount Sinai School of Medicine, New York, NY, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
UL1 RR029887/RR/NCRR NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  A review of the inflammatory chorioretinopathies: the white dot syndromes.
Next Document:  A Frailty-Model-Based Method for Estimating Age-Dependent Penetrance from Family Data.