PICan: An integromics framework for dynamic cancer biomarker discovery

Darragh G. McArt; Jaine K. Blayney; David P. Boyle; Gareth W. Irwin; Michael Moran; Ryan A. Hutchinson; Peter Bankhead; Declan Kieran; Yinhai Wang; Philip D. Dunne; Richard D. Kennedy; Paul B. Mullan; D. Paul Harkin; Mark A. Catherwood; Jacqueline A. James; Manuel Salto-Tellez; Peter W. Hamilton

doi:10.1016/j.molonc.2015.02.002

PICan: An integromics framework for dynamic cancer biomarker discovery

Darragh G. McArt, Jaine K. Blayney, David P. Boyle, Gareth W. Irwin, Michael Moran, Ryan A. Hutchinson, Peter Bankhead, Declan Kieran, Yinhai Wang, Philip D. Dunne, Richard D. Kennedy, Paul B. Mullan, D. Paul Harkin, Mark A. Catherwood, Jacqueline A. James, Manuel Salto-Tellez^*, Peter W. Hamilton

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

Modern cancer research on prognostic and predictive biomarkers demands the integration of established and emerging high-throughput technologies. However, these data are meaningless unless carefully integrated with patient clinical outcome and epidemiological information. Integrated datasets hold the key to discovering new biomarkers and therapeutic targets in cancer. We have developed a novel approach and set of methods for integrating and interrogating phenomic, genomic and clinical data sets to facilitate cancer biomarker discovery and patient stratification. Applied to a known paradigm, the biological and clinical relevance of TP53, PICan was able to recapitulate the known biomarker status and prognostic significance at a DNA, RNA and protein levels.

Original language	English
Pages (from-to)	1234-1240
Number of pages	7
Journal	Molecular oncology
Volume	9
Issue number	6
Early online date	04 Mar 2015
DOIs	https://doi.org/10.1016/j.molonc.2015.02.002
Publication status	Published - 01 Jun 2015

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10.1016/j.molonc.2015.02.002

Jaine Blayney
- J.Blayneyqub.acuk
- School of Medicine, Dentistry and Biomedical Sciences - Senior Lecturer
- Patrick G Johnston Centre for Cancer Research
Person: Academic

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McArt, D. G., Blayney, J. K., Boyle, D. P., Irwin, G. W., Moran, M., Hutchinson, R. A., Bankhead, P., Kieran, D., Wang, Y., Dunne, P. D., Kennedy, R. D., Mullan, P. B., Harkin, D. P., Catherwood, M. A., James, J. A., Salto-Tellez, M., & Hamilton, P. W. (2015). PICan: An integromics framework for dynamic cancer biomarker discovery. Molecular oncology, 9(6), 1234-1240. https://doi.org/10.1016/j.molonc.2015.02.002

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title = "PICan: An integromics framework for dynamic cancer biomarker discovery",

abstract = "Modern cancer research on prognostic and predictive biomarkers demands the integration of established and emerging high-throughput technologies. However, these data are meaningless unless carefully integrated with patient clinical outcome and epidemiological information. Integrated datasets hold the key to discovering new biomarkers and therapeutic targets in cancer. We have developed a novel approach and set of methods for integrating and interrogating phenomic, genomic and clinical data sets to facilitate cancer biomarker discovery and patient stratification. Applied to a known paradigm, the biological and clinical relevance of TP53, PICan was able to recapitulate the known biomarker status and prognostic significance at a DNA, RNA and protein levels.",

author = "McArt, {Darragh G.} and Blayney, {Jaine K.} and Boyle, {David P.} and Irwin, {Gareth W.} and Michael Moran and Hutchinson, {Ryan A.} and Peter Bankhead and Declan Kieran and Yinhai Wang and Dunne, {Philip D.} and Kennedy, {Richard D.} and Mullan, {Paul B.} and Harkin, {D. Paul} and Catherwood, {Mark A.} and James, {Jacqueline A.} and Manuel Salto-Tellez and Hamilton, {Peter W.}",

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doi = "10.1016/j.molonc.2015.02.002",

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McArt, DG, Blayney, JK, Boyle, DP, Irwin, GW, Moran, M, Hutchinson, RA, Bankhead, P, Kieran, D, Wang, Y, Dunne, PD , Kennedy, RD , Mullan, PB, Harkin, DP, Catherwood, MA, James, JA , Salto-Tellez, M & Hamilton, PW 2015, 'PICan: An integromics framework for dynamic cancer biomarker discovery', Molecular oncology, vol. 9, no. 6, pp. 1234-1240. https://doi.org/10.1016/j.molonc.2015.02.002

TY - JOUR

T1 - PICan: An integromics framework for dynamic cancer biomarker discovery

AU - McArt, Darragh G.

AU - Blayney, Jaine K.

AU - Boyle, David P.

AU - Irwin, Gareth W.

AU - Moran, Michael

AU - Hutchinson, Ryan A.

AU - Bankhead, Peter

AU - Kieran, Declan

AU - Wang, Yinhai

AU - Dunne, Philip D.

AU - Kennedy, Richard D.

AU - Mullan, Paul B.

AU - Harkin, D. Paul

AU - Catherwood, Mark A.

AU - James, Jacqueline A.

AU - Salto-Tellez, Manuel

AU - Hamilton, Peter W.

PY - 2015/6/1

Y1 - 2015/6/1

N2 - Modern cancer research on prognostic and predictive biomarkers demands the integration of established and emerging high-throughput technologies. However, these data are meaningless unless carefully integrated with patient clinical outcome and epidemiological information. Integrated datasets hold the key to discovering new biomarkers and therapeutic targets in cancer. We have developed a novel approach and set of methods for integrating and interrogating phenomic, genomic and clinical data sets to facilitate cancer biomarker discovery and patient stratification. Applied to a known paradigm, the biological and clinical relevance of TP53, PICan was able to recapitulate the known biomarker status and prognostic significance at a DNA, RNA and protein levels.

AB - Modern cancer research on prognostic and predictive biomarkers demands the integration of established and emerging high-throughput technologies. However, these data are meaningless unless carefully integrated with patient clinical outcome and epidemiological information. Integrated datasets hold the key to discovering new biomarkers and therapeutic targets in cancer. We have developed a novel approach and set of methods for integrating and interrogating phenomic, genomic and clinical data sets to facilitate cancer biomarker discovery and patient stratification. Applied to a known paradigm, the biological and clinical relevance of TP53, PICan was able to recapitulate the known biomarker status and prognostic significance at a DNA, RNA and protein levels.

U2 - 10.1016/j.molonc.2015.02.002

DO - 10.1016/j.molonc.2015.02.002

M3 - Article

C2 - 25814194

SN - 1574-7891

VL - 9

SP - 1234

EP - 1240

JO - Molecular oncology

JF - Molecular oncology

IS - 6

ER -

PICan: An integromics framework for dynamic cancer biomarker discovery

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