Abstract

PurposeAccurate transcriptional sequencing (RNA-seq) from formalin-fixed paraffin-embedded (FFPE) tumor samples presents an important challenge for translational research and diagnostic development. In addition, there are now several different protocols to prepare a sequencing library from total RNA. We evaluated the accuracy of RNA-seq data generated from FFPE samples in terms of expression profiling.MethodsWe designed a biospecimen study to directly compare gene expression results from different protocols to prepare libraries for RNA-seq from human breast cancer tissues, with randomization to fresh frozen (FF) or FFPE conditions. The protocols were compared using multiple computational methods to assess alignment of reads to a reference genome, the uniformity and continuity of coverage, the variance and correlation of overall gene expression, patterns of measuring coding sequence, phenotypic patterns of gene expression, and measurements from representative multigene signatures.ResultsThe principal determinant of variance in gene expression was use of exon capture probes, followed by the conditions of preservation (FF v FFPE) and phenotypic differences between breast cancers. One protocol, with RNase H-based ribosomal RNA depletion, exhibited the least variability of gene expression measurements and strongest correlation between FF and FFPE samples and was generally representative of the transcriptome from standard FF RNA-seq protocols.ConclusionMethod of RNA-seq library preparation from FFPE samples had a marked effect on the accuracy of gene expression measurement compared with matched FF samples. Nevertheless, some protocols produced highly concordant expression data from FFPE RNA-seq data, compared with RNA-seq results from matched frozen samples.

Highlights

  • Method of RNA-seq library preparation from formalin-fixed paraffin-embedded (FFPE) samples had a marked effect on the accuracy of gene expression measurement compared with matched fresh frozen (FF) samples

  • It is generally best to identify gene expression biomarkers from cancer tissues using the highest quality of RNA purified from fresh frozen (FF) samples, any subsequent development toward diagnostic testing will require translation for use with formalin-fixed paraffin-embedded (FFPE) tissue samples

  • Different approaches to generating libraries for RNA-seq include selection of mRNA by targeting the poly(A) tail, depletion of more abundant ribosomal RNA using mRNA FF total RNA Poly(A)+ mRNA enrichment

Read more

Summary

Introduction

It is generally best to identify gene expression biomarkers from cancer tissues using the highest quality of RNA purified from fresh frozen (FF) samples, any subsequent development toward diagnostic testing will require translation for use with formalin-fixed paraffin-embedded (FFPE) tissue samples. The variably fragmented and chemically modified RNA derived from FFPE samples presents a challenge for accurate measurement of gene expression.. There is great interest to perform transcriptome sequencing (RNA-seq) for biomarker discovery research using large cohorts of precious archival FFPE samples from completed clinical trials. It is essential to select a protocol for FFPE RNA-seq libraries that yields data that are comparable with a gold standard result from FF samples. Different approaches to generating libraries for RNA-seq include selection of mRNA by targeting the poly(A) tail (mRNA protocol), depletion of more abundant ribosomal RNA (rRNA depletion) using mRNA FF total RNA Poly(A)+ mRNA enrichment

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.