Transcriptomic profiling performed in bladder carcinomas collected from Neodurvarib clinical trial (NCT03534492)
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PROVIDER: PRJNA933649 | ENA |
REPOSITORIES: ENA
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Project description:RNASeq profiling of bladder carcinomas from different histologies (urothelial carcinomas or squamous cell carcinomas) which were collected at different moments of the Neodurvarib-related clinical procedure (pretreatment ("SCR") or post-treatment ("Q")). The main goals of the screening were 1) to define potential predictive/prognostic biomarkers (genes or molecular pathways) through the comparison of diagnostic samples ("SCR") according to the clinical response observed in the patients under study; ii) to evaluate the molecular changes observed in the tumors under study by comparing the profiles of diagnostic samples ("SCR") versus cystectomies ("Q"), which would be a direct consequence of the neoadjuvant therapy used in this clinical trial.
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Project description:The GUSTO clinical trial (Gene expression subtypes of Urothelial carcinoma: Stratified Treatment and Oncological outcomes) uses molecular subtypes to guide neoadjuvant therapies in participants with muscle-invasive bladder cancer (MIBC). Before commencing the GUSTO trial, we needed to determine the reliability of a commercial subtyping platform (Decipher Bladder; Veracyte) when performed in an external trial laboratory as this has not been done previously. Here we report our pre-trial verification of the TCGA molecular subtyping model using gene expression profiling. Formalin fixed paraffin embedded tissue blocks of MIBC were used for gene expression subtyping by gene expression microarrays. Intra- and inter-laboratory technical reproducibility, together with quality control of laboratory and bioinformatics processes were assessed. Eighteen samples underwent analysis. RNA of sufficient quality and quantity was successfully extracted from all samples. All subtypes were represented in the cohort. Each sample was subtyped twice in our laboratory and once in a separate reference laboratory. No clinically significant discordance in subtype occurred between intra- or inter-laboratory replicates. Examination of sample histopathology showed variability of morphological appearances within and between subtypes. Overall, these results show that molecular subtyping by gene expression profiling is reproducible, robust, and suitable for use in the GUSTO clinical trial.
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Project description:Verification of Molecular Subtyping of Bladder Cancer in the GUSTO Clinical Trial
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Project description:Here we report the discovery of truncating mutations of the gene encoding the cohesin subunit STAG2, which regulates sister chromatid cohesion and segregation, in 36% of papillary non-invasive urothelial carcinomas and 16% of invasive urothelial carcinomas of the bladder. Our studies suggest that STAG2 has a role in controlling chromosome number but not the proliferation of bladder cancer cells. These findings identify STAG2 as one of the most commonly mutated genes in bladder cancer. Affymetrix CytoScan HD Arrays were performed according to the manufacturer's directions on genomic DNA extracted directly from 12 snap-frozen human urothelial carcinoma primary tumors with somatic mutations of the STAG2 gene.
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Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer.
2012-02-22 | GSE23732 | GEO
Project description:We performed whole transcriptome RNA sequencing on serial tumour biopsies collected at baseline, Day 14, and after completion of all neoadjuvant therapy from the NA-PHER2 trial. Patients received neoadjuvant treatment with the combined regimen of trastuzumab, pertuzumab, palbociclib with or without addition of fulvestrant. Transcriptomic profiles were generated from 143 samples (Baseline n = 53, Day 14 n = 49, Surgery n = 41) corresponding to 55 of the 58 patients enrolled in NA-PHER2 trial (94.8%). RNA sequencing was performed on total RNA samples derived from formalin-fixed, paraffin-embedded (FFPE) tissue sections. RNA-Seq libraries were produced using NEBNext® Ultra™ II Directional RNA Library Prep Kit. The capture was then performed on cDNA libraries with the Twist Human Core Exome Enrichment System according to supplier recommendations (Twist Bioscience). The obtained eluted-enriched DNA samples was then sequenced on an Illumina NovaSeq as paired-end 100bp reads.
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Project description:Transcriptome analysis of 57 bladder carcinomas on Affymetrix HG-U95A and HG-U95Av2 microarrays
2006-11-10 | E-TABM-147 | biostudies-arrayexpress
Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer. Under an ethical guideline of Chhatrapati Shahuji Maharaj Medical University, India histologically confirmed seven bladder cancer patients were recruited from Department of Urology, Chhatrapati Shahuji Maharaj Medical University, Lucknow, India. Total RNA was extracted from tumor biopsies and hybridized on affymetrix Human Gene ST 1.1 array to determine differentially expressed genes in urinary bladder cancer with muscle invasion in comparison of normal human urinary bladder.
2012-02-22 | E-GEOD-23732 | biostudies-arrayexpress
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