Volume 72, Issue 4, Pages (October 2017)

Slides:



Advertisements
Similar presentations
Design and Multiseries Validation of a Web-Based Gene Expression Assay for Predicting Breast Cancer Recurrence and Patient Survival Ryan K. Van Laar The.
Advertisements

Volume 67, Issue 1, Pages (January 2015)
Large-scale independent validation of the nuclear factor-kappa B p65 prognostic biomarker in prostate cancer  Philippe O. Gannon, Laurent Lessard, Louis-Mathieu.
Volume 68, Issue 6, Pages (December 2015)
The Origin of the Bone Scan as a Tumour Marker in Prostate Cancer
Volume 44, Issue 6, Pages (December 2003)
Volume 58, Issue 4, Pages (October 2010)
Volume 69, Issue 6, Pages (June 2016)
Volume 57, Issue 1, Pages (January 2010)
Volume 56, Issue 6, Pages (December 2009)
Volume 61, Issue 6, Pages (June 2012)
Volume 53, Issue 4, Pages (April 2008)
Volume 60, Issue 2, Pages (August 2011)
Volume 52, Issue 1, Pages (July 2007)
Volume 72, Issue 1, Pages (July 2017)
Volume 69, Issue 6, Pages (June 2016)
Volume 70, Issue 4, Pages (October 2016)
Volume 46, Issue 3, Pages (September 2004)
Volume 53, Issue 5, Pages (May 2008)
Volume 69, Issue 1, Pages (January 2016)
Volume 51, Issue 4, Pages (April 2007)
Volume 71, Issue 2, Pages (February 2017)
Volume 52, Issue 2, Pages (August 2007)
Volume 70, Issue 2, Pages (August 2016)
Volume 67, Issue 1, Pages (January 2015)
Volume 68, Issue 4, Pages (October 2015)
Volume 63, Issue 1, Pages (January 2013)
Volume 68, Issue 1, Pages (July 2015)
Tumour Grade, Treatment, and Relative Survival in a Population-based Cohort of Men with Potentially Curable Prostate Cancer  Sam Ladjevardi, Gabriel Sandblom,
The Importance of Transurethral Resection in Managing Patients With Urothelial Cancer in the Bladder: Proposal for a Transurethral Resection of Bladder.
Volume 67, Issue 2, Pages (February 2015)
Volume 54, Issue 4, Pages (October 2008)
Volume 68, Issue 6, Pages (December 2015)
Volume 70, Issue 4, Pages (October 2016)
Prostate Cancer Detection: A View of the Future
Volume 70, Issue 5, Pages (November 2016)
Volume 67, Issue 3, Pages (March 2015)
Low-risk Prostate Cancer: Identification, Management, and Outcomes
Volume 71, Issue 6, Pages (June 2017)
Design and Multiseries Validation of a Web-Based Gene Expression Assay for Predicting Breast Cancer Recurrence and Patient Survival  Ryan K. Van Laar 
The Origin of the Bone Scan as a Tumour Marker in Prostate Cancer
Volume 61, Issue 6, Pages (June 2012)
Volume 64, Issue 6, Pages (December 2013)
Volume 53, Issue 6, Pages (June 2008)
Volume 53, Issue 4, Pages (April 2008)
Volume 66, Issue 2, Pages (August 2014)
Arjun Pennathur, MD, Liqiang Xi, MD, Virginia R. Litle, MD, William E
Volume 62, Issue 4, Pages (October 2012)
Long-term Cancer-specific Survival in Patients with High-risk, Non–muscle-invasive Bladder Cancer and Tumour Progression: A Systematic Review  Sven van.
Shifting Paradigms for High-grade Prostatic Intraepithelial Neoplasia
Volume 61, Issue 6, Pages (June 2012)
Volume 70, Issue 2, Pages (August 2016)
Volume 50, Issue 5, Pages (November 2006)
Volume 7, Issue 4, Pages (April 2005)
Volume 12, Issue 3, Pages (March 2011)
Volume 67, Issue 6, Pages (June 2015)
Recurrence-Associated Long Non-coding RNA Signature for Determining the Risk of Recurrence in Patients with Colon Cancer  Meng Zhou, Long Hu, Zicheng.
Volume 4, Issue 3, Pages (August 2013)
The 20-Yr Outcome in Patients with Well- or Moderately Differentiated Clinically Localized Prostate Cancer Diagnosed in the Pre-PSA Era: The Prognostic.
Volume 75, Issue 3, Pages (March 2019)
Jonathan S. Brajtbord, Michael S. Leapman, Matthew R. Cooperberg 
Gene expression correlates of clinical prostate cancer behavior
Volume 54, Issue 1, Pages (July 2008)
Volume 19, Issue 12, Pages (December 2018)
Expression profile of long noncoding rnas in osteoarthritis patients
Volume 53, Issue 2, Pages (February 2008)
Prostate Radiotherapy for Metastatic Hormone-sensitive Prostate Cancer: A STOPCAP Systematic Review and Meta-analysis  Sarah Burdett, Liselotte M. Boevé,
Volume 74, Issue 6, Pages (December 2018)
Ian W. Mills, Anna Crossland, Anup Patel, Henrikas Ramonas 
Abiraterone in “High-” and “Low-risk” Metastatic Hormone-sensitive Prostate Cancer  Alex P. Hoyle, Adnan Ali, Nicholas D. James, Adrian Cook, Christopher.
Presentation transcript:

Volume 72, Issue 4, Pages 509-518 (October 2017) Molecular Subgroup of Primary Prostate Cancer Presenting with Metastatic Biology  Steven M. Walker, Laura A. Knight, Andrena M. McCavigan, Gemma E. Logan, Viktor Berge, Amir Sherif, Hardev Pandha, Anne Y. Warren, Catherine Davidson, Adam Uprichard, Jaine K. Blayney, Bethanie Price, Gera L. Jellema, Christopher J. Steele, Aud Svindland, Simon S. McDade, Christopher G. Eden, Chris Foster, Ian G. Mills, David E. Neal, Malcolm D. Mason, Elaine W. Kay, David J. Waugh, D. Paul Harkin, R. William Watson, Noel W. Clarke, Richard D. Kennedy  European Urology  Volume 72, Issue 4, Pages 509-518 (October 2017) DOI: 10.1016/j.eururo.2017.03.027 Copyright © 2017 European Association of Urology Terms and Conditions

Fig. 1 Molecular subtyping and identification of the metastatic subgroup. (A) Hierarchical clustering of transcriptional profiles from the discovery cohort. Specific genes that are upregulated (red) or downregulated (green) are labelled on the vertical axis within gene clusters. Sample cluster C1 represents the “metastatic subgroup” characterised by a shutdown of gene expression (G1) compared with sample cluster C2. (B) Bar chart representing the number and type of each tumour mapping to each of the two identified sample clusters within the discovery cohort. European Urology 2017 72, 509-518DOI: (10.1016/j.eururo.2017.03.027) Copyright © 2017 European Association of Urology Terms and Conditions

Fig. 2 Validation of the metastatic assay in resections using the MSKCC in silico dataset. Kaplan–Meier survival analysis for association of the metastatic assay at predicting (A) time to biochemical recurrence and (B) metastatic recurrence in the MSKCC in silico cohort. Survival probability (%) showed reduced progression-free survival in months of the “assay positive” (orange) of 41 patients when compared with the “assay negative” (blue) of 85 patients for biochemical and metastatic disease respectively (HR=3.76 [1.70–8.34]; p<0.0001 and HR=6.00 [1.90–18.91]; p=0.0005, respectively). HR=hazard ratio. European Urology 2017 72, 509-518DOI: (10.1016/j.eururo.2017.03.027) Copyright © 2017 European Association of Urology Terms and Conditions

Fig. 3 Validation of the metastatic assay in the retrospective independent resection validation dataset. Kaplan–Meier survival analysis for association of the metastatic assay at predicting (A) time to biochemical recurrence and (B) metastatic recurrence in the resection validation cohort. Survival probability (%) showed reduced progression-free survival in months of the “assay positive” (orange) of 74 patients when compared with the “assay negative” (blue) of 248 patients for biochemical and metastatic disease respectively (HR=1.76 [1.18–2.64]; p=0.0008 and HR=3.47 [1.70–7.07]; p<0.0001, respectively). (C) Association of the metastatic assay at predicting metastatic recurrence stratified into low-risk (GS≤3+4) and high-risk (GS≥4+3) tumours (HR=5.61 [1.19–26.47]; p=0.0013 and HR=2.43 [1.14–5.17]; p=0.0036 respectively). GS=Gleason score; HR=hazard ratio. European Urology 2017 72, 509-518DOI: (10.1016/j.eururo.2017.03.027) Copyright © 2017 European Association of Urology Terms and Conditions

Fig. 4 Validation of the metastatic assay in resections using a combined model with CAPRA-S to stratify high and low risk. (A) Association of a combined model (metastatic assay+CAPRA-S) at predicting time to biochemical recurrence of high/low-risk disease in the resection cohort. Reduced progression-free survival in months of the “high-risk” subgroup (orange) of 112 patients when compared with the “low-risk” subgroup (blue) of 125 patients (HR=2.67 [1.90–3.75]; p<0.0001). (B) Association of a combined model (metastatic assay+CAPRA-S) at predicting time to metastatic disease recurrence of high/low-risk disease in the resection cohort. Reduced progression-free survival in months of the “high-risk” subgroup (orange) of 112 patients compared with the “low-risk” subgroup (blue) of 125 patients (HR=7.53 [4.13–13.73]; p<0.0001). CAPRA-S=Cancer of the Prostate Risk Assessment postsurgical; HR=hazard ratio. European Urology 2017 72, 509-518DOI: (10.1016/j.eururo.2017.03.027) Copyright © 2017 European Association of Urology Terms and Conditions