ArticleFrontiers in oncology2019
HNCDB: An Integrated Gene and Drug Database for Head and Neck Cancer.
Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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
6 citing papers in PubMed, 16 citations in OpenAlex.
- iCRCexp: An Integrative Database for Colorectal Cancer-Associated Gene Expression Profiles.Cancer informatics · 2026Article
- Clinical implications of activation of the LIMD1-VHL-HIF1α pathway during head-&-neck squamous cell carcinoma development.The Indian journal of medical research · 2024Article
- Network pharmacology: an efficient but underutilized approach in oral, head and neck cancer therapy-a review.Frontiers in pharmacology · 2024Review
- MYO5A overexpression promotes invasion and correlates with low lymphocyte infiltration in head and neck squamous carcinoma.BMC cancer · 2023Article
- HPVTIMER: A shiny web application for tumor immune estimation in human papillomavirus-associated cancers.iMeta · 2023Article
- Differential Wnt-β- catenin pathway activation in HPV positive and negative oral epithelium is transmitted during head and neck tumorigenesis: clinical implications.Medical microbiology and immunology · 2021Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head and neck cancer (HNC) is the sixth most common cancer worldwide. Over the last decade, an enormous amount of well-annotated gene and drug data has accumulated for HNC. However, a comprehensive repository is not yet available. Here, we constructed the Head and Neck Cancer Database (HNCDB: http://hncdb.cancerbio.info) using text mining followed by manual curation of the literature to collect reliable information on the HNC-related genes and drugs. The high-throughput gene expression data for HNC were also integrated into HNCDB. HNCDB includes the following three separate but closely related components: "HNC GENE," "Connectivity Map," and "ANALYSIS." The "HNC GENE" component contains comprehensive information for the 1,173 HNC-related genes manually curated from 2,564 publications. The "Connectivity Map" includes information on the potential connections between the 176 drugs manually curated from 2,032 publications and the 1,173 HNC-related genes. The "ANALYSIS" component allows users to conduct correlation, differential expression, and survival analyses in the 2,403 samples from 78 HNC gene expression datasets. Taken together, we believe that HNCDB will be of significant benefit for the HNC community and promote further advances for precision medicine research on HNC.
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Registered trials
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