Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic profiling of ccRCC nephrectomy samples by Direct RNAseq

ABSTRACT: Clear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer. Following primary tumour resection approximately 30% of patients experience disease recurrence associated with metastasis. To date, long-read RNA sequencing has not been applied to kidney cancer. Here, we used ONT long-read Direct RNA sequencing to profile the transcriptomes of ccRCC archival tumours, 6 of which were from patients who went on to relapse. Our results revealed a loss of immune infiltrate in tumours of patients who relapse. Moreover, thousands of novel isoforms were discovered, including a novel PD-L1 transcript encoding for the soluble version of the protein but having a longer 3'UTR than the currently annotated transcript. Finally, we have identified a novel non-coding gene that was over-expressed in patients who experience recurrence. Our data shows that DRS can be used in archival tumour samples to comprehensively characterise tumour transcriptomes, and to reveal novel features that would have been missed by short-read RNAseq.

ORGANISM(S): Homo sapiens

PROVIDER: GSE241932 | GEO | 2023/09/04

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptomic profiling of ccRCC nephrectomy samples by PCR-cDNAseq

Project description:Clear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer. Following primary tumour resection approximately 30% of patients experience disease recurrence associated with metastasis. To date, long-read RNA sequencing has not been applied to kidney cancer. Here, we used ONT long-read PCR-cDNAseq to profile the transcriptomes of ccRCC archival tumours, 6 of which were from patients who went on to relapse. Our results revealed a loss of immune infiltrate in tumours of patients who relapse. Moreover, thousands of novel isoforms were discovered, including a novel PD-L1 transcript encoding for the soluble version of the protein but having a longer 3'UTR than the currently annotated transcript. Finally, we have identified a novel non-coding gene that was over-expressed in patients who experience recurrence. Our data shows that ONT long-read PCR-cDNAseq can be used in archival tumour samples to comprehensively characterise tumour transcriptomes, and to reveal novel features that would have been missed by short-read RNAseq.

2023-09-04 | GSE242204 | GEO

Illumina RNAseq of ccRCC tumour cell line RCC4

Project description:Clear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer. Here, we used Illumina RNAseq to profile the transcriptomes of a ccRCC cell line RCC4 treated with pro-inflammatory cytokines. Our results here validates the existence of novel isoforms and genes that were discovered in the archival tumour samples by long-read sequencing. In addition, results here revealed potential tumour origin of these novel isoforms and genes.

2023-10-30 | GSE246408 | GEO

Long read transcriptome sequencing of ccRCC tumour cell line RCC4

Project description:Clear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer. To date, long-read RNA sequencing has not been applied to kidney cancer. Here, we used ONT long-read Direct RNA sequencing to profile the transcriptomes of ccRCC cell line RCC4, with and without exposure to pro-inflammatory cytokines. Our results revealed differentially expressed genes induced by the pro-inflammatory cytokines. Moreover, results here revealed potential tumour origin of novel isoforms and genes that were discovered in the archival tumour samples by long-read sequencing.

2023-09-04 | GSE242084 | GEO

Integrative genome-wide gene expression profiling of clear cell renal cell carcinoma in Czech Republic

Project description:We conducted whole-genome expression profiling on 101 pairs of ccRCC tumours and adjacent non-tumour renal tissue from Czech patients using the Illumina HumanHT-12 v4 Expression BeadChips to explore the molecular variations underlying the biological and clinical heterogeneity of ccRCC. Total RNA obtained from frozen ccRCC tumour and adjacent non-tumour renal tissue.

2013-06-03 | E-GEOD-40435 | biostudies-arrayexpress

Integrative genome-wide gene expression profiling of clear cell renal cell carcinoma in Czech Republic

2013-06-03 | GSE40435 | GEO

Genome-wide microRNA expression analysis of clear cell Renal Cell Carcinoma by next generation deep sequencing

Project description:MicroRNAs (miRNAs), non-coding RNAs regulating gene expression, are frequently aberrantly expressed in human cancers. Next-generation deep sequencing technology enables genome-wide expression profiling of known miRNAs and discovery of novel miRNAs at unprecedented quantitative and qualitative accuracy. Deep sequencing was performed on 22 fresh frozen clear cell renal cell carcinoma (ccRCC), 11 non-tumoral renal cortex (NRC) samples and 2 ccRCC cell lines (n=35). The 22 ccRCCs patients belonged to 3 prognostic sub-groups, i.e. Those without disease recurrence, with recurrence and with metastatic disease at diagnosis Deep sequencing was performed on 22 fresh frozen clear cell renal cell carcinoma (ccRCC), 11 non-tumoral renal cortex (NRC) samples and 2 ccRCC cell lines (n=35). The 22 ccRCCs patients belonged to 3 prognostic sub-groups, i.e. Those without disease recurrence, with recurrence and with metastatic disease at diagnosis.

2012-06-21 | E-GEOD-37616 | biostudies-arrayexpress

Global and targeted microRNA expression profiling in clear cell renal cell carcinoma tissues potentially links miR-155-5p and miR-210-3p to both tumorigenesis and recurrence [discovery phase]

Project description:About 30% of renal cell carcinoma (RCC) patients undergoing nephrectomy experience disease recurrence. This study aimed to profile microRNAs (miRNAs) that are dysregulated in clear cell RCC (ccRCC) tumor tissues and predictive of recurrence. The expression levels of 800 miRNAs were assessed in paired tumor and normal tissues from a discovery cohort of 18 ccRCC patients via the NanoString assay platform. MiRNAs found to be differentially expressed were further examined in a validation set of 205 patients using quantitative real-time PCR. Tumor-normal data from 64 patients in The Cancer Genome Atlas were used for external validation. Results showed 28 miRNAs were consistently dysregulated in tumor tissues. Dichotomized analyses indicated patients with high levels of miR-155-5p and miR-210-3p displayed increased risk of ccRCC recurrence (HR, 2.64; 95% CI, 1.49-4.70; P=0.0009 and HR, 1.8; 95% CI, 1.04-3.12; P=0.036, respectively) and shorter median recurrence-free survival times than patients with low levels (log rank test P<0.01). A risk score was generated based on expression levels of miR-155-5p and miR-210-3p, and the trend test was significant (P for trend=0.005). Pathway analysis revealed target genes regulated by miR-155-5p and miR-210-3p were mainly enriched in inflammation-related pathways. In summary, we identified and validated multiple miRNAs dysregulated in ccRCC tissues. MiR-155-5p and miR-210-3p were predictive of ccRCC recurrence pointing to potential utility as biomarkers and underlying biological mechanisms.

2018-10-04 | GSE116251 | GEO

AGAP2-AS1 as prognostic biomarker in low-risk clear cell renal cell carcinoma patients with progressing disease

Project description:Purpose: Clear cell renal cell carcinoma (ccRCC) is the most common renal cancer. Thirty percent of patients with localized ccRCC develop metastases during follow-up. Although current scoring methods correctly identify patients at low progression risk, a small subgroup still experiences metastatization. We therefore aimed to identify ccRCC progression biomarkers in “low-risk” patients, potentially eligible for adjuvant treatments. Methods: We performed next-generation sequencing of RNA from formalin-fixed samples obtained at initial surgery from 8 “low-risk” patients with progressing tumours and 16 patients with similar Leibovich score, tumour stage and size, creatinine levels and surgical treatment, not progressing to recurrence with metastasis. Key results were confirmed with qPCR, immunohistochemistry and in external data. Results: Principal component analysis indicates that systematic transcriptomic differences are detectable at the time of initial surgery. 1167 genes, related to cancer and immune-related pathways, were differentially expressed between progressors and non-progressors. Search for a classifier revealed that overexpression of AGAP2-AS1, an antisense long non-coding RNA, alone, correctly classified 23 of 24 samples without requiring larger gene panels. AGAP2-AS1 gene overexpression was confirmed by qPCR (p <0.05) and correlated with shorter progression-free survival (p: <0.0005). Immunohistochemistry confirmed upregulation at the protein level of AGAP2. Conclusion: AGAP2-AS1 may represent a novel biomarker identifying high risk patients currently classified as “low risk” at the time of surgery.

2021-12-29 | GSE171955 | GEO

DNA methylation alterations across time and space in paediatric brain tumours

Project description:DNA methylation is increasingly used for tumour classification and has expanded upon the > 100 currently known brain tumour entities. A correct diagnosis is the basis for suitable treatment for patients with brain tumours, which is the leading cause of cancer-related death in children. DNA methylation profiling is required for diagnosis of certain tumours, and used clinically for paediatric brain tumours in several countries. We therefore evaluated if the methylation-based classification is robust in different locations of the same tumour, and determined how the methylation pattern changed over time to relapse.

2024-03-21 | GSE247880 | GEO

RNA expression in tongue squamous cell carcinoma, tumour free tongue tissue and control tongue

Project description:Tongue squamous cell carcinoma is a tumour type with rather low five year survival, around 60%. The poor survival rate has been ascribed to late detection, a high frequency of locoregional recurrence, the occurrence of secondary primary tumours and death due to comorbidity. One reason for development of recurrence is thought to be the existence of transformed cells in areas adjacent to the primary tumour, cancerization field effect. The aim of this study was to map the changes in the tumour free tongue tissue adjacent to tongue tumours compared with healthy control tongue tissue to better understand the cancerization field effect. Tissue biopsies were collected from tumour (T) and tumour free tissue adjacent to the tumour (TF) from patients with tongue squamous cell carcinoma. Control tissue was collected from latter border of the tongue of tumour free healthy volunteers (C). All samples were homogenized and RNA was extracted. The RNA was biotin labelled and run on Illumina HT-12 bead chip array.

2016-12-21 | E-MTAB-4678 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data