HNdb: an integrated database of gene and protein information on head and neck squamous cell carcinoma. [PMID: 27013077]
Tiago Henrique, Nelson José Freitas da Silveira, Arthur Henrique Cunha Volpato, Mayra Mataruco Mioto, Ana Carolina Buzzo Stefanini, Adil Bachir Fares, João Gustavo da Silva Castro Andrade, Carolina Masson, Rossana Verónica Mendoza López, Fabio Daumas Nunes, Luis Paulo Kowalski, Patricia Severino, Eloiza Helena Tajara
Database : the journal of biological databases and curation 2016:2016
0 Citations (Google Scholar as of 2017-03-24)
Abstract: The total amount of scientific literature has grown rapidly in recent years. Specifically, there are several million citations in the field of cancer. This makes it difficult, if not impossible, to manually retrieve relevant information on the mechanisms that govern tumor behavior or the neoplastic process. Furthermore, cancer is a complex disease or, more accurately, a set of diseases. The heterogeneity that permeates many tumors is particularly evident in head and neck (HN) cancer, one of the most common types of cancer worldwide. In this study, we present HNdb, a free database that aims to provide a unified and comprehensive resource of information on genes and proteins involved in HN squamous cell carcinoma, covering data on genomics, transcriptomics, proteomics, literature citations and also cross-references of external databases. Different literature searches of MEDLINE abstracts were performed using specific Medical Subject Headings (MeSH terms) for oral, oropharyngeal, hypopharyngeal and laryngeal squamous cell carcinomas. A curated gene-to-publication assignment yielded a total of 1370 genes related to HN cancer. The diversity of results allowed identifying novel and mostly unexplored gene associations, revealing,for example, that processes linked to response to steroid hormone stimulus are significantly enriched in genes related to HN carcinomas. Thus, our database expands the possibilities for gene networks investigation, providing potential hypothesis to be tested. Database URL:http://www.gencapo.famerp.br/hndb. © The Author(s) 2016. Published by Oxford University Press.