Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods

Ross G Murphy, Aideen C Roddy, Shambhavi Srivastava, Esther Baena, David J Waugh, Joe M O'Sullivan, Darragh G McArt, Suneil Jain, Melissa J LaBonte

Research output: Contribution to journalArticlepeer-review


Combining alignment-free methods for phylogenetic analysis with multi-regional sampling using next-generation sequencing can provide an assessment of intra-patient tumour heterogeneity. From multi-regional sampling divergent branching, we validated two different lesions within a patient's prostate. Where multi-regional sampling has not been used, a single sample from one of these areas could misguide as to which drugs or therapies would best benefit this patient, due to the fact these tumours appear to be genetically different. This application has the power to render, in a fraction of the time used by other approaches, intra-patient heterogeneity and decipher aberrant biomarkers. Another alignment-free method for calling single-nucleotide variants from raw next-generation sequencing samples has determined possible variants and genomic locations that may be able to characterize the differences between the two main branching patterns. Alignment-free approaches have been applied to relevant clinical multi-regional samples and may be considered as a valuable option for comparing and determining heterogeneity to help deliver personalized medicine through more robust efforts in identifying targetable pathways and therapeutic strategies. Our study highlights the application these tools could have on patient-aligned treatment indications.

Original languageEnglish
Pages (from-to)lqaa062
JournalNAR genomics and bioinformatics
Issue number3
Publication statusPublished (in print/issue) - Sept 2020

Bibliographical note

© The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.


Dive into the research topics of 'Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods'. Together they form a unique fingerprint.

Cite this