Cargando…
Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods
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....
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440682/ https://www.ncbi.nlm.nih.gov/pubmed/32856020 http://dx.doi.org/10.1093/nargab/lqaa062 |
_version_ | 1783573168647045120 |
---|---|
author | Murphy, Ross G Roddy, Aideen C Srivastava, Shambhavi Baena, Esther Waugh, David J M. O’Sullivan, Joe McArt, Darragh G Jain, Suneil LaBonte, Melissa J |
author_facet | Murphy, Ross G Roddy, Aideen C Srivastava, Shambhavi Baena, Esther Waugh, David J M. O’Sullivan, Joe McArt, Darragh G Jain, Suneil LaBonte, Melissa J |
author_sort | Murphy, Ross G |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7440682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74406822020-08-25 Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods Murphy, Ross G Roddy, Aideen C Srivastava, Shambhavi Baena, Esther Waugh, David J M. O’Sullivan, Joe McArt, Darragh G Jain, Suneil LaBonte, Melissa J NAR Genom Bioinform Application Notes 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. Oxford University Press 2020-08-20 /pmc/articles/PMC7440682/ /pubmed/32856020 http://dx.doi.org/10.1093/nargab/lqaa062 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Application Notes Murphy, Ross G Roddy, Aideen C Srivastava, Shambhavi Baena, Esther Waugh, David J M. O’Sullivan, Joe McArt, Darragh G Jain, Suneil LaBonte, Melissa J Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods |
title | Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods |
title_full | Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods |
title_fullStr | Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods |
title_full_unstemmed | Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods |
title_short | Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods |
title_sort | prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods |
topic | Application Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440682/ https://www.ncbi.nlm.nih.gov/pubmed/32856020 http://dx.doi.org/10.1093/nargab/lqaa062 |
work_keys_str_mv | AT murphyrossg prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods AT roddyaideenc prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods AT srivastavashambhavi prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods AT baenaesther prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods AT waughdavidj prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods AT mosullivanjoe prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods AT mcartdarraghg prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods AT jainsuneil prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods AT labontemelissaj prostatecancerheterogeneityassessmentwithmultiregionalsamplingandalignmentfreemethods |