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Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression

ABSTRACT: Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression

PROVIDER: PRJNA490638 | ENA |

REPOSITORIES: ENA

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Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression: screening data

Project description:Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression: screening data

| PRJNA489690 | ENA

Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression: screening data

Project description:Accurate grading and staging of upper tract urothelial carcinoma (UTUC) often proves challenging, and improved knowledge of tumor biology could identify patients who are candidates for minimally invasive therapy rather than nephroureterectomy (NU). Total RNA was extracted from formalin-fixed, paraffin-embedded NU samples. Thirty-five samples with diverse pathologies were selected and screened via microRNA RT-qPCR array for 752 unique miRNA. Validation of differentially expressed miRNA was performed on 123 additional NU tissue specimens from two institutions. The data presented in this series are for the 35 samples analyzed in the screening analysis. The data was normalized to the global mean of each sample using microRNA detected in all samples with a Cq<37.

2019-01-01 | GSE119601 | GEO

Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression: secondary data set

Project description:Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression: secondary data set

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Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression: secondary data set

Project description:Accurate grading and staging of upper tract urothelial carcinoma (UTUC) often proves challenging, and improved knowledge of tumor biology could identify patients who are candidates for minimally invasive therapy rather than nephroureterectomy (NU). Total RNA was extracted from formalin-fixed, paraffin-embedded NU samples. Thirty-five samples with diverse pathologies were selected and screened via microRNA RT-qPCR array for 752 unique miRNA. Validation of differentially expressed miRNA was performed on 123 additional NU tissue specimens from two institutions. The data presented in this series are for the 123 samples analyzed in the validation analysis. The data were normalized to the average of the insignificant control miRNA detected in all samples: miR-125b-5p and miR-185-5p, which were selected from the screening array dataset using NormFinder©.

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Project description:Genome wide DNA methylation profiling of normal and upper-tract urothelial carcinomas tissues. The Illumina Infinium EPIC arrays was used to obtain DNA methylation profiles across approximately 866,091 probes. Samples included 35 upper-tract urothelial carcinomas samples and 8 adjacent normal tissues

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Micro-RNA expression profiles in upper tract urothelial carcinoma differentiate stage and tumor progression

Project description:This SuperSeries is composed of the SubSeries listed below.

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Patient-Derived Xenografts of Upper Tract Urothelial Cell Carcinoma: a tool for precision medicine

Project description:Treatment paradigms for patients with upper tract urothelial carcinoma (UTUC) are typically extrapolated from studies of bladder cancer despite their distinct clinical and molecular characteristics. A major hurdle to the advancement of UTUC research is the lack of disease-specific models. Here, we report the establishment of patient derived xenograft (PDX) and cell lines models that reflect the heterogeneity of the human disease. Models demonstrated high genomic concordance with the tumors from which they were derived with muscle-invasive tumors more likely to successfully engraft. Treatment of PDX with chemotherapy recapitulated responses observed in the patients. Analysis of a S310F HER2 mutant PDX suggested that an antibody drug conjugate targeting HER2 would have superior efficacy to HER2-selective kinase inhibitors. In sum, the biologic and phenotypic concordance between patient and PDXs suggests that these models could facilitate studies of intrinsic and acquired resistance and the development of personalized medicine strategies for UTUC patients.

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