ArticleNucleic acids research2005
Cancer gene expression database (CGED): a database for gene expression profiling with accompanying clinical information of human cancer tissues.
Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Analytical Techniques as Indicators of Biomarkers in Proteomics Cancer Diagnosis.Anti-cancer agents in medicinal chemistry · 2026Review
- ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer.Database : the journal of biological databases and curation · 2023Article
- LeukmiR: a database for miRNAs and their targets in acute lymphoblastic leukemia.Database : the journal of biological databases and curation · 2020Article
- Intratumoral generation of 2-fluoroadenine to treat solid malignancies of the head and neck.Head & neck · 2019Review
- Targeted Suppression and Knockout of ASCT2 or LAT1 in Epithelial and Mesenchymal Human Liver Cancer Cells Fail to Inhibit Growth.International journal of molecular sciences · 2018Article
- Evaluation of Plaid Models in Biclustering of Gene Expression Data.Scientifica · 2016Article
- Big Data: the challenge for small research groups in the era of cancer genomics.British journal of cancer · 2015Review
- High-fidelity target sequencing of individual molecules identified using barcode sequences: de novo detection and absolute quantitation of mutations in plasma cell-free DNA from cancer patients.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015Article
- Human cancer databases (review).Oncology reports · 2015Review
- MIsoMine: a genome-scale high-resolution data portal of expression, function and networks at the splice isoform level in the mouse.Database : the journal of biological databases and curation · 2015Article
- BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis.Database : the journal of biological databases and curation · 2015Article
- OncomiRdbB: a comprehensive database of microRNAs and their targets in breast cancer.BMC bioinformatics · 2014Article
- Impact of delay to cryopreservation on RNA integrity and genome-wide expression profiles in resected tumor samples.PloS one · 2013Article
- Article
- Network-based pipeline for analyzing MS data: an application toward liver cancer.Journal of proteome research · 2011Article
- Integrating the multiple dimensions of genomic and epigenomic landscapes of cancer.Cancer metastasis reviews · 2010Review
- Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.Nucleic acids research · 2010Article
- dbDEPC: a database of differentially expressed proteins in human cancers.Nucleic acids research · 2010Article
- DDEC: Dragon database of genes implicated in esophageal cancer.BMC cancer · 2009Article
- TiGER: a database for tissue-specific gene expression and regulation.BMC bioinformatics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as developments of new methods of diagnosis and therapy. Our collaborative efforts in Japan have been mainly focused on solid tumors such as breast, colorectal and hepatocellular cancers. The expression data are obtained by a high-throughput RT-PCR technique, and patients are recruited mainly from a single hospital. In the cancer gene expression database (CGED), the expression and clinical data are presented in a way useful for scientists interested in specific genes or biological functions. The data can be retrieved either by gene identifiers or by functional categories defined by Gene Ontology terms or the Swiss-Prot annotation. Expression patterns of multiple genes, selected by names or similarity search of the patterns, can be compared. Visual presentation of the data with sorting function enables users to easily recognize of relationships between gene expression and clinical parameters. Data for other cancers such as lung and thyroid cancers will be added in the near future. The URL of CGED is http://cged.hgc.jp.
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.