Abstract

The availability of fresh frozen (FF) tissue is a barrier for implementing RNA sequencing (RNA-seq) in the clinic. The majority of clinical samples are stored as formalin-fixed, paraffin-embedded (FFPE) tissues. Exome capture platforms have been developed for RNA-seq from FFPE samples. However, these methods have not been systematically compared. We performed transcriptomic analysis of 32 FFPE tumor samples from 11 patients using three exome capture-based methods: Agilent SureSelect V6, TWIST NGS Exome, and IDT XGen Exome Research Panel. We compared these methods to the TruSeq RNA-seq of fresh frozen (FF-TruSeq) tumor samples from the same patients. We assessed the recovery of clinically relevant biological features. The Spearman’s correlation coefficients between the global expression profiles of the three capture-based methods from FFPE and matched FF-TruSeq were high (rho = 0.72–0.9, p < 0.05). A significant correlation between the expression of key immune genes between individual capture-based methods and FF-TruSeq (rho = 0.76-0.88, p < 0.05) was observed. All exome capture-based methods reliably detected outlier expression of actionable gene transcripts, including ERBB2, MET, NTRK1, and PPARG. In urothelial cancer samples, the Agilent assay was associated with the highest molecular subtype concordance with FF-TruSeq (Cohen’s k = 0.7, p < 0.01). The Agilent and IDT assays detected all the clinically relevant fusions that were initially identified in FF-TruSeq. All FFPE exome capture-based methods had comparable performance and concordance with FF-TruSeq. Our findings will enable the implementation of RNA-seq in the clinic to guide precision oncology approaches.

Highlights

  • RNA sequencing (RNA-seq) has provided deep insights into gene expression patterns in biological samples, including transcript abundance levels, isoform expression, alternative splicing, and chimeric transcripts resulting from gene fusions

  • We designed this study to answer two main questions: First, what are the differences in the performance characteristics between the three commercially available FFPE capture-based methods (Agilent, TWIST, IDT)? Second, what are the performance characteristics of FFPE capture-based methods compared to TruSeq RNAseq of matched fresh frozen (FF) tumor samples (Fig. 1)?

  • We examined the concordance of the expression of clinically relevant outlier genes in FF-TruSeq and whether the same outliers could be recovered from FFPE capture-based methods

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Summary

INTRODUCTION

RNA sequencing (RNA-seq) has provided deep insights into gene expression patterns in biological samples, including transcript abundance levels, isoform expression, alternative splicing, and chimeric transcripts resulting from gene fusions. In the clinical setting, the vast majority of specimens are preserved as formalin-fixed, paraffin-embedded (FFPE) tissues for long-term storage. The lack of an optimal method for transcriptomic profiling of FFPE tumor samples has hindered clinical application. To address this knowledge gap, we compared the sequencing metrics and biological readouts from the Agilent SureSelect V6 (Agilent), TWIST NGS Exome (TWIST), and IDT XGen Exome Research Panel (IDT) capture-based methods from FFPE tumor samples. We compared the three FFPE capture-based methods to TruSeq RNA-seq of the fresh frozen (FF) sample from the same tumor (hereafter referred to as FF-TruSeq). The comparison focused on genes with outlier expression, the expression of key immune genes, molecular subtype classification, and the detection of gene fusions

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