Evidence map›Paper›PMID 26901863›Full record

ArticlePloS one2016

Transcriptome Sequencing (RNAseq) Enables Utilization of Formalin-Fixed, Paraffin-Embedded Biopsies with Clear Cell Renal Cell Carcinoma for Exploration of Disease Biology and Biomarker Development.

Oystein Eikrem, Christian Beisland, Karin Hjelle, Arnar Flatberg, Andreas Scherer, Lea Landolt, Trude Skogstrand, Sabine Leh, Vidar Beisvag, Hans-Peter Marti

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Oystein EikremDepartment of Clinical Medicine, Nephrology, University of Bergen, Bergen, Norway.
Christian BeislandDepartment of Clinical Medicine, Urology, University of Bergen, Bergen, Norway.
Karin HjelleDepartment of Clinical Medicine, Urology, University of Bergen, Bergen, Norway.
Arnar FlatbergDepartment of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Andreas SchererSpheromics, Kontiolahti, Finland.
Lea LandoltDepartment of Clinical Medicine, Nephrology, University of Bergen, Bergen, Norway.
Trude SkogstrandDepartment of Clinical Medicine, Nephrology, University of Bergen, Bergen, Norway.
Sabine LehDepartment of Clinical Medicine, Nephrology, University of Bergen, Bergen, Norway.
Vidar BeisvagDepartment of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Hans-Peter MartiDepartment of Clinical Medicine, Nephrology, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 RNAlater® (Qiagen, Germany) stored samples from clear cell renal cell carcinoma (ccRCC) patients to investigate feasibility of RNAseq in archival tissue. From each of 16 patients undergoing partial or full nephrectomy, four core biopsies, such as two specimens with ccRCC and two specimens of adjacent normal tissue, were obtained with a 16g needle. One normal and one ccRCC tissue specimen per patient was stored either in FFPE or RNAlater®. RNA sequencing libraries were generated applying the new Illumina TruSeq® Access library preparation protocol. Comparative analysis was done using voom/Limma R-package. The analysis of the FFPE and RNAlater® 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 and the log2 fold changes of these transcripts correlated with R2 = 0.97, and R2 = 0.96, respectively. 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-ß1 (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.

Indexed as

TranscriptomeAdultAgedBiomarkersBiopsyCarcinoma, Renal CellFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryKidney NeoplasmsMaleMiddle AgedNeoplasm GradingBiomarkers

Identifiers

PMID26901863
PMCPMC4764764

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.