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Genome-wide maps of active chromatin in Wilms tumor

ABSTRACT: Genome-wide maps of active chromatin in Wilms tumor

PROVIDER: PRJNA523243 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8592252.fastq.gz	Fastqsanger.gz
	SRR8592253.fastq.gz	Fastqsanger.gz
	SRR8592254.fastq.gz	Fastqsanger.gz
	SRR8592255.fastq.gz	Fastqsanger.gz
	SRR8592256.fastq.gz	Fastqsanger.gz

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Genome-wide maps of active chromatin in Wilms tumor

Project description:Here we have used H3K27ac ChIP-seq in primary Wilms tumors to identify active promoter and enhancer elements genome-wide.

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Circulating miRNA in serum of Wilms tumor patients

Project description:Abstract: Background: MiRNA signatures in human sera have been reported for various tumor diseases. Here we generated miRNA profiles analyzing 1205 mature miRNA transcripts of serum samples of Wilms tumor patients, taken prior and after chemotherapy according to SIOP protocol 2001. Using a feature subset selection filter approach we identified a minimal number of miRNAs with a maximum contribution for the classification between treated and untreated patients and between patients and controls. Results: Analyzing 1205 mature miRNAs, we separated controls and Wilms tumor patients prior chemotherapy with an accuracy of 0.81. We obtained a similar accuracy (0.82) for the separation between controls and sera of Wilms tumor patients after preoperative chemotherapy. We identified 23 miRNAs that were differentially expressed in both comparisons. Subset selection improved the overall classification accuracy between controls and Wilms tumor patients prior and after chemotherapy to 0.94 and 0.91, respectively. Subset selection also allowed separating between Wilms tumor patients prior and after chemotherapy with an accuracy of 0.98. Conclusion: Our analysis identified serum based miRNA signatures that allowed separating between controls, untreated Wilms tumor patients, and Wilms tumor patients after chemotherapy with high accuracy for each of these comparisons.

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Proteasome inhibition sensitizes anaplastic Wilms tumor to actinomycin D

Project description:Wilms tumor is the most common kidney cancer in children, and anaplastic Wilms tumor is the most chemoresistant histological subtype. Here we explore how anaplastic Wilms tumor cells evade the common chemotherapeutic drug actinomycin D, which inhibits ribosomal biogenesis. We found that, when ribosomal capacity is limited by actinomycin D treatment, anaplastic Wilms tumor cells preferentially translate proteasome components and upregulate proteasome activity. Accordingly, increased proteasome levels are associated with anaplastic histology and with worse prognosis in Wilms tumor. Lastly, we show that the proteasome inhibitor bortezomib sensitizes cells to actinomycin D treatment both in vitro and in vivo.

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miRNA profiles of Wilms tumor patients and controls

Project description:Blood-borne miRNA signatures have recently been reported for various tumor diseases. Here, we compared the miRNA signature in Wilms tumor patients prior to and after preoperative chemotherapy according to the SIOP protocol 2001. We did not find a significant difference between the miRNA signatures of both groups. However, both Wilms tumor patients prior to and after chemotherapy showed a miRNA signature different from that of healthy controls. The signature of Wilms tumor patients prior to chemotherapy showed an accuracy of 97.5% and of patients after chemotherapy an accuracy of 97.0%, each as compared to healthy controls. Our results provide evidence for a blood-borne Wilms tumor miRNA signature largely independent of four weeks preoperative chemotherapy treatment. This project analyzes peripheral blood profiles of Wilms tumor patients and controls in order to detect specific profiles. n=19 normal controls and n=23 Wilms tumor patients were screened for the complete miRNA repertoire. Please note that each miRNA has been measured in seven replicates and the median of the replica has been computed.

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miRNA expression profiles in Wilms tumor subtypes

Project description:The aim of the study was to identify differentially expressed miRNAs in different Wilms tumor subtypes. Comparison of miRNA expression profiles in Wilms tumor of different subtypes (total n=62) compared to normal kidney tissue (n=4)

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