Next-generation sequence analysis of cancer xenograft models

Fernando Jaime Rossello, Richard Tothill, Kara Louise Britt, Kieren David Marini, Jeanette Falzon, David M Thomas, Craig D Peacock, Luigi Marchionni, Jason Li, Samara Bennett, Erwin Tantoso, Tracey Jean Brown, Philip Chan, Luciano Gaston Martelotto, David Neil Watkins

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20 Citations (Scopus)

Abstract

Next-generation sequencing (NGS) studies in cancer are limited by the amount, quality and purity of tissue samples. In this situation, primary xenografts have proven useful preclinical models. However, the presence of mouse-derived stromal cells represents a technical challenge to their use in NGS studies. We examined this problem in an established primary xenograft model of small cell lung cancer (SCLC), a malignancy often diagnosed from small biopsy or needle aspirate samples. Using an in silico strategy that assign reads according to species-of-origin, we prospectively compared NGS data from primary xenograft models with matched cell lines and with published datasets. We show here that low-coverage whole-genome analysis demonstrated remarkable concordance between published genome data and internal controls, despite the presence of mouse genomic DNA. Exome capture sequencing revealed that this enrichment procedure was highly species-specific, with less than 4 of reads aligning to the mouse genome. Human-specific expression profiling with RNA-Seq replicated array-based gene expression experiments, whereas mouse-specific transcript profiles correlated with published datasets from human cancer stroma. We conclude that primary xenografts represent a useful platform for complex NGS analysis in cancer research for tumours with limited sample resources, or those with prominent stromal cell populations.
Original languageEnglish
Article numbere7443
Number of pages12
JournalPLoS ONE
Volume8
Issue number9
DOIs
Publication statusPublished - 2013

Cite this

Rossello, F. J., Tothill, R., Britt, K. L., Marini, K. D., Falzon, J., Thomas, D. M., Peacock, C. D., Marchionni, L., Li, J., Bennett, S., Tantoso, E., Brown, T. J., Chan, P., Martelotto, L. G., & Watkins, D. N. (2013). Next-generation sequence analysis of cancer xenograft models. PLoS ONE, 8(9), [e7443]. https://doi.org/10.1371/journal.pone.0074432