ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis.
Transcriptome microarrays have become one of the tools of choice for investigating the genes involved in tumorigenesis and tumor progression, as well as finding new biomarkers and gene expression signatures for the diagnosis and prognosis of cancer. Here, we describe a new database for Integrated Tumor Transcriptome Array and Clinical data Analysis (ITTACA). ITTACA centralizes public datasets containing both gene expression and clinical data. ITTACA currently focuses on the types of cancer that are of particular interest to research teams at Institut Curie: breast carcinoma, bladder carcinoma and uveal melanoma. A web interface allows users to carry out different class comparison analyses, including the comparison of expression distribution profiles, tests for differential expression and patient survival analyses. ITTACA is complementary to other databases, such as GEO and SMD, because it offers a better integration of clinical data and different functionalities. It also offers more options for class comparison analyses when compared with similar projects such as Oncomine. For example, users can define their own patient groups according to clinical data or gene expression levels. This added flexibility and the user-friendly web interface makes ITTACA especially useful for comparing personal results with the results in the existing literature. ITTACA is accessible online at http://bioinfo.curie.fr/ittaca.
Elfilali
Adil
A
Institut Curie, Service Bioinformatique, 26 rue d'Ulm, Paris, 75248 cedex 05, France.
Lair
Séverine
S
Verbeke
Catia
C
La Rosa
Philippe
P
Radvanyi
François
F
Barillot
Emmanuel
E
D001943:Breast Neoplasms / Q000175:diagnosis; D002277:Carcinoma / Q000175:diagnosis; D030541:Databases, Genetic; D015870:Gene Expression; D020869:Gene Expression Profiling; D052138:Genes, Neoplasm; D006801:Humans; D020407:Internet; D008545:Melanoma / Q000175:diagnosis; D009369:Neoplasms / Q000175:diagnosis* / Q000235:genetics / Q000378:metabolism; D016019:Survival Analysis; D018511:Systems Integration; D014158:Transcription, Genetic; D001749:Urinary Bladder Neoplasms / Q000175:diagnosis; D014584:User-Computer Interface; D014604:Uveal Neoplasms / Q000175:diagnosis