Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptomic analysis of fresh frozen clear-cell renal cell carcinoma tissues treated with VEGFR-TKIs in first line

ABSTRACT: Transcriptomic analysis using qRT-PCR was performed on fresh frozen clear-cell renal cell carcinoma tissues treated with VEGFR-TKIs in first line (n=109). The transcriptomic data from this experiment were analyzed together with miRNA sequencing data from FFPE samples from the same tumor (E-MTAB-10586), to identify miRNA which were correlated with lower expression of EPAS1, FLT1and KDR and were also predicted to target these genes by miRNA-mRNA interaction databases.

ORGANISM(S): Homo sapiens

SUBMITTER: Lisa Kinget

PROVIDER: E-MTAB-10592 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Molecular Subtypes of Clear-cell Renal Cell Carcinoma are Prognostic for Outcome After Complete Metastasectomy.

Verbiest Annelies A Couchy Gabrielle G Job Sylvie S Caruana Laure L Lerut Evelyne E Oyen Raymond R de Reyniès Aurélien A Tosco Lorenzo L Joniau Steven S Van Poppel Hendrik H Van Raemdonck Dirk D Van Den Eynde Kathleen K Wozniak Agnieszka A Zucman-Rossi Jessica J Beuselinck Benoit B

European urology 20180217 4

<h4>Background</h4>Metastasectomy is routinely performed in selected patients with metastatic clear-cell renal cell carcinoma (ccRCC) as an alternative to systemic therapy. In the absence of randomized trials, the benefit and best way of patient selection remain unclear. Earlier, we described four molecular ccRCC-subtypes (ccrcc1-4) that have a prognostic and predictive value upon first-line sunitinib or pazopanib.<h4>Objective</h4>Assess the prognostic value of ccrcc1-4 subtypes after complete ...[more]

PMID: 29463434

Similar Datasets

Project description:Patients with loss-of-function mutations of the von Hippel Lindau gene (“VHL-patients”) often develop clear cell renal cell carcinoma (ccRCC). Using archived, formalin-fixed, paraffin-embedded (FFPE) samples and a cohort of eight cases, we sought to determine global proteome alterations that distinguish ccRCC tissue from adjacent, non-malignant kidney tissue in VHL-patients. Our quantitative proteomic analysis clearly discriminated tumor and non-malignant tissue, yielding comparable proteome profiles for the eight ccRCC cases. Limma statistics was used to identify significantly dysregulated proteins in ccRCC. Functional classification of these proteins highlighted a decrease in proteins involved in the tricarboxylic acid cycle and an increase in proteins involved in glycolysis. This profile possibly represents a proteomic fingerprint of the “Warburg effect”, which is a molecular hallmark of ccRCC. Furthermore, we observed an increase in proteins involved in extracellular matrix organization. Of particular note were opposing alterations of Xaa-Pro Aminopeptidases-1 and -2 (XPNPEP-1 and -2): a strong decrease of XPNPEP-2 in ccRCC was accompanied by a strong increase of the related protease XPNPEP-1. In both cases, we corroborated the proteomic results by immunohistochemical analysis of ccRCC and adjacent, non-malignant kidney tissue of VHL patients. To functionally investigate the role of XPNPEP-1 in ccRCC, we performed small-hairpin RNA mediated XPNPEP-1 expression silencing in 786-O ccRCC cells harboring a mutated VHL gene. We found that XPNPEP-1 expression suppresses cellular proliferation and migration. These results suggest that XPNPEP-1 is rather an anti-target in VHL-driven ccRCC. Generally, we present one of the first proteomic profiling studies of ccRCC in VHL patients, comparing normal and tumor tissue, which are both deficient for the VHL tumor suppressor. Methodologically, our work further validates the robustness of using FFPE material for quantitative proteomics.

Project description:Metastatic clear cell renal cell carcinoma (ccRCC) has a poor prognosis and unpredictable course and there are no molecular markers that reliably predict ccRCC metastasis. In this study, specimens from 84 patients with ccRCC were directly cultured in vitro. The primary cultures from 38 of 94 specimens contained more than 90% tumor cells at 4th passages. After identified by immunostaining, the primary cultures of metastatic- and nonmetastatic ccRCC specimens from the age-, gender-matched patients were subjected to cDNA microrray assays. A total of 842 differentially expressed genes with FDR (false discovery rate) = 4.79% were identified by using SAM (Significance Analysis of Microarray) software. Pathway enrichment and co-occurrence with “cancer”, “metastasis” and “invasion” in the literature annotations enriched the functions of the 842 genes and indicated the reliability of our microarray assays. Novel genes associated with metastasis were selected based on intra-molecular interaction between 205 differentially expressed genes co-occurred with “metastasis” and those not appeared with “metastasis” on Medline, as well as co-expression analysis between 205 differentially expressed genes co-occurred with “metastasis” and those not appeared on Medline in 12 microarray data. FSTL1, AV722783, SLC15A1, DDX17, ORC2L and PKMYT1 were proved to be potential ccRCC metastasis-associated novel genes, based on its expression patterns in the cultures and tumor tissues. Interestingly, the up-regulated genes (CAV1, PKMYT1 and ORC2L) were up-regulated and the down-regulated genes (FSTL1, GSTM3, CYR61, SLC15A1 and AV722783) were down-regulated, in the primary ccRCC specimens as compared with its adjacent normal kidney in 37 patients (determined by semi-quantitative RT-PCR). This study provides potential biomarkers and novel molecular targets for the early diagnosis and treatment of ccRCC metastasis. Keywords: Homo sapiens Because of limited cell number of primary cultures, total RNA of the primary cultures from 2 age and gender matched patients was pooled for each microarray assay. Each assay was technically repeated once. Cy3-labeled 1st cDNA synthesized from total RNA of the metastatic ccRCC pool was mixed with Cy5-labeled 1st cDNA synthesized from total RNA of the non-metastatic ccRCC pool, and hybridized to 16K cDNA chips (GEO Platform ID: GPL6259; SBC-R-HC-100-22, National Engineering Center for Biochip, Shanghai, China) that included 14784 unigenes, 241 negative controls and 527 positive controls. In our study we used a co-expression analysis for the relationship between genes; three gastric cancer Samples were only introduced to this analysis methods.

Dataset Information

Transcriptomic analysis of fresh frozen clear-cell renal cell carcinoma tissues treated with VEGFR-TKIs in first line

Publications

Molecular Subtypes of Clear-cell Renal Cell Carcinoma are Prognostic for Outcome After Complete Metastasectomy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure