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Updated: Jan 7, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
Cross-platform comparison of gene expression-based cancer molecular subtyping reveals discrepancies with exome
Jaewon J Lee1,2, Mohammed Aldakkak3, Ashley B Morrison2
1Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Abstract:
Gene expression profiling in precision oncology is increasing with uncertain validity across platforms. In this study, we examined the application of PurIST, a molecular subtyping algorithm for pancreatic ductal adenocarcinoma (PDAC), across different platforms. We compared PurIST calls between matched samples processed by whole transcriptome and commercial exome capture RNA-seq. In parallel, we compared subtypes between matched samples processed by NanoString and whole transcriptome RNA-seq from the PANCREAS trial (NCT04683315). Between whole transcriptome and exome capture, subtype agreement was 81% with significant increase in basal-like subtype with exome capture. Differences in overall survival in patients with basal-like tumors compared to classical tumors did not reach statistical significance using exome capture (log-rank P = 0.061), whereas with whole transcriptome it was significantly shorter (log-rank P < 0.0001). Subtype agreement between whole transcriptome RNA-seq and NanoString was higher at 95%. PurIST results should be interpreted with caution when using exome capture methods.
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