Dataset Information

Confirmation dataset of Transcriptome Sequencing (RNAseq) data utilizing Formalin-Fixed, Paraffin-Embedded Biopsies with Clear Cell Renal Cell Carcinoma for Exploration of Disease Biology and Biomarker Development

ABSTRACT: This dataset complements GSE76207. Formalin-fixed, paraffin-embedded (FFPE) tissues are an underused resource for molecular analyses. This proof of concept study aimed to compare RNAseq results from FFPE biopsies (Eikrem et al., PLoS One. 2016 Feb 22;11(2):e0149743. doi: 10.1371/journal.pone.0149743. eCollection 2016. PMID: 26901863) with FFPE confirmation dataset from clear cell renal cell carcinoma (ccRCC) patients. Core biopsies were obtained with a 16g needle from 16 patients undergoing partial or full nephrectomy. The RNA sequencing libraries were generated applying the new Illumina TruSeq® Access library preparation protocol. The goal of the study is to compare the discovery and the confirmation data and to assess the utilization of the data for ccRCC biomarker development.

ORGANISM(S): Homo sapiens

PROVIDER: GSE82122 | GEO | 2016/11/21

SECONDARY ACCESSION(S): PRJNA324091

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Formalin-fixed, paraffin-embedded (FFPE) tissues are an underused resource for molecular analyses. This proof of concept study aimed to compare RNAseq results from FFPE biopsies with the corresponding RNAlaterÂ® (Qiagen, Germany) stored samples from clear cell renal cell carcinoma (ccRCC) patients, to enable the decision of whether or not it is feasible to apply RNAseq technology to archival tissue. Core biopsies were obtained with a 16g needle from 16 patients undergoing partial or full nephrectomy. The RNA sequencing libraries were generated applying the new Illumina TruSeqÂ® Access library preparation protocol. Comparative analysis was done using voom/Limma R-package. The analysis of the FFPE and RNAlaterÂ® datasets yielded similar numbers of detected genes, differentially expressed transcripts and affected pathways. The FFPE and RNAlater datasets shared 80% (n=1106) differentially expressed genes. The average expression of these transcripts in both datasets correlated with R2=0.97, and the log2 fold changes of these transcripts, which are significantly altered in both datasets, correlated with R2=0.96. Among transcripts with the highest fold changes in both datasets were carbonic anhydrase 9 (CA9), neuronal pentraxin-2 (NPTX2) and uromodulin (UMOD) that were confirmed by immunohistochemistry. IPA revealed the presence of gene signatures of cancer and nephrotoxicity, renal damage and immune response. To simulate the feasibility of clinical biomarker studies with FFPE samples, a classifier model was developed for the FFPE dataset: expression data for CA9 alone had an accuracy, specificity and sensitivity of 94%, respectively, and achieved similar performance in the RNAlater dataset. Transforming growth factor-Ã1 (TGFB1)-regulated genes, epithelial to mesenchymal transition (EMT) and NOTCH signaling cascade may support novel therapeutic strategies. In conclusion, in this proof of concept study, RNAseq data obtained from FFPE kidney biopsies are comparable to data obtained from fresh stored material, thereby expanding the utility of archival tissue specimens. *** Access to raw data can be requested from submitters ***

Dataset Information

Confirmation dataset of Transcriptome Sequencing (RNAseq) data utilizing Formalin-Fixed, Paraffin-Embedded Biopsies with Clear Cell Renal Cell Carcinoma for Exploration of Disease Biology and Biomarker Development

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure