ReviewCancer science2007
MutationView/KMcancerDB: a database for cancer gene mutations.
Review in Cancer science, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Mouse Models in Prostate Cancer Translational Research: From Xenograft to PDX.BioMed research international · 2016Review
- Ras in cancer and developmental diseases.Genes & cancer · 2011Article
- H-InvDB in 2009: extended database and data mining resources for human genes and transcripts.Nucleic acids research · 2010Article
- Gain and loss of phosphorylation sites in human cancer.Bioinformatics (Oxford, England) · 2008Article
- Does Harvey-Ras gene expression lead to oral squamous cell carcinoma? A clinicopathological aspect.Journal of oral and maxillofacial pathology : JOMFPArticle
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is known that cancers are caused by accumulated mutations in various genes and consequent functional alterations of proteins that are important for maintenance of normal cellular functions. The changes in nucleotide sequences and expression patterns of cancer-related genes are being extensively studied to better understand the mechanisms of tumorigenesis and to develop methods for DNA/protein [corrected] diagnosis and drug discovery. At present, a number of computer databases for molecular information on cancer-related genes are available publicly through the internet. These databases deal with familial cancer and sporadic cancer at the levels of germline mutation or somatic mutation, genomic or chromosomal abnormalities, and changes in the expression levels of relevant genes. Previously, we constructed a human gene mutation database named MutationView (http://mutview.dmb.med.keio.ac.jp/) and have accumulated mutation data for approximately 300 genes that are involved mainly in monogenic diseases. Forty-two genes are cancer-related and therefore a separate cancer database named KMcancerDB was constructed. MutationView/KMcancerDB utilizes a graphic display function for both queries and search results much more often than other existing databases, making the system quite user friendly. MutationView/KMcancerDB provides a highly sophisticated search function for all genes through a single internet URL. In the present paper, we briefly review various useful databases for cancer-related genes, and describe MutationView/KMcancerDB in more detail.
Indexed as
Identifiers
What OpenQuestion holds
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.