Determining the origin of lethal metastases in multifocal primary prostate cancer
Grant number: 1047581 | Funding period: 2013 - 2016
New biomarkers are required to accurately predict lethal prostate cancer from benign, indolent disaese that doesn't require expensive treatment. To do this relies on finding molecular differences between disease states. Advancements in high throughput genomic technologies enables us to now probe the lethal prostate cancer genome and transcriptome and distinguish this disease state from other forms of prostate cancer.
Related publications (8)
Inferring structural variant cancer cell fraction
Marek Cmero, Ke Yuan, Cheng Soon Ong, Jan Schröder, null PCAWG Evolution and Heterogeneity Working Group, Niall M Corcoran, Tony Papenfuss, Christopher M Hovens, Florian Markowetz, Geoff Macintyre, null PCAWG Consortium
We present SVclone, a computational method for inferring the cancer cell fraction of structural variant (SV) breakpoints from whol..
Cell quiescence correlates with enhanced glioblastoma cell invasion and cytotoxic resistance
Ryan J Atkins, Stanley S Stylli, Natalie Kurganovs, Stefano Mangiola, Cameron J Nowell, Thomas M Ware, Niall M Corcoran, Daniel V Brown, Andrew H Kaye, Andrew Morokoff, Rodney B Luwor, Christopher M Hovens, Theo Mantamadiotis
Preparation of fluorescent in situ hybridisation probes without the need for optimisation of fragmentation
Patrick J McCoy, Anthony J Costello, Niall M Corcoran, Christopher M Hovens, Michael J Clarkson
DNA-fluorescence in situ hybridisation (DNA-FISH) allows visualisation of chromosome organisation and rearrangement. FISH probes a..
3D modelling of radical prostatectomy specimens: Developing a method to quantify tumor morphometry for prostate cancer risk prediction
Marcus C Hovens, Kevin Lo, Michael Kerger, John Pedersen, Timothy Nottle, Natalie Kurganovs, Andrew Ryan, Justin S Peters, Daniel Moon, Anthony J Costello, Niall M Corcoran, Matthew KH Hong
Tracking the origins and drivers of subclonal metastatic expansion in prostate cancer
Matthew KH Hong, Geoff Macintyre, David C Wedge, Peter Van Loo, Keval Patel, Sebastian Lunke, Ludmil B Alexandrov, Clare Sloggett, Marek Cmero, Francesco Marass, Dana Tsui, Stefano Mangiola, Andrew Lonie, Haroon Naeem, Nikhil Sapre, Pramit M Phal, Natalie Kurganovs, Xiaowen Chin, Michael Kerger, Anne Y Warren
Reducing the risk of false discovery enabling identification of biologically significant genome-wide methylation status using the HumanMethylation450 array
Haroon Naeem, Nicholas C Wong, Zac Chatterton, Matthew KH Hong, John S Pedersen, Niall M Corcoran, Christopher M Hovens, Geoff Macintyre