ArticleDatabase : the journal of biological databases and curation2014
CancerEST: a web-based tool for automatic meta-analysis of public EST data.
Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI.Research synthesis methods · 2026Pooled it
- Contrasting effects of DNA demethylation on cancer-germline gene expression in breast cancer and leukemia cells.PloS one · 2025Article
- The Expression Patterns of Human Cancer-Testis Genes Are Induced through Epigenetic Drugs in Colon Cancer Cells.Pharmaceuticals (Basel, Switzerland) · 2022Article
- The expression sequence tag is an effective method for screening DNA segments that predict urinary bladder transitional cell carcinoma prognosis.OncoTargets and therapy · 2014Article
- Identification of a class of human cancer germline genes with transcriptional silencing refractory to the hypomethylating drug 5-aza-2'-deoxycytidine.Oncoscience · 2014Article
- A novel cohort of cancer-testis biomarker genes revealed through meta-analysis of clinical data sets.Oncoscience · 2014Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
The identification of cancer-restricted biomarkers is fundamental to the development of novel cancer therapies and diagnostic tools. The construction of comprehensive profiles to define tissue- and cancer-specific gene expression has been central to this. To this end, the exploitation of the current wealth of 'omic'-scale databases can be facilitated by automated approaches, allowing researchers to directly address specific biological questions. Here we present CancerEST, a user-friendly and intuitive web-based tool for the automated identification of candidate cancer markers/targets, for examining tissue specificity as well as for integrated expression profiling. CancerEST operates by means of constructing and meta-analyzing expressed sequence tag (EST) profiles of user-supplied gene sets across an EST database supporting 36 tissue types. Using a validation data set from the literature, we show the functionality and utility of CancerEST. DATABASE URL: http://www.cancerest.org.uk.
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