IGR_BLADDER_GE_STUDY_JA

ABSTRACT: Background: Although histology is the corner stone for decision analysis in bladder cancer, it still needs refinement and new tools to better identify tumours with the highest risk of progression or recurrence. Objective: We designed a prospective study to evaluate whether microarray analysis could find a molecular signature for pathologic staging and/or grading. Design, setting and participants: Prospective multicentric study conducted from September 2007 to May 2008 (108 bladder tumours (45 pTa, 35 pT1 and 28> pT1)). Microarray analysis was performed with Agilent Technologies Human Whole Genome 4 x 44K oligonucleotide microarrays and used a method of dual color type versus a reference consists of a pool of tumours. From the lists of genes provided by the BrB Class Comparison analyses, we

ORGANISM(S): Homo sapiens

DISEASE(S): Bladder tumour

SUBMITTER: Philippe DESSEN 

PROVIDER: E-MTAB-993 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress