Gynecologic Cancer InterGroup Translational Research Brainstorming October 2016 Lisbon
Institute How can we achieve an integrated cancer medicine approach - - PowerPoint PPT Presentation
Institute How can we achieve an integrated cancer medicine approach - - PowerPoint PPT Presentation
Gynecologic Cancer InterGroup Translational Research Brainstorming October 2016 Lisbon Dr James D. Brenton Cancer Research UK Cambridge Institute How can we achieve an integrated cancer medicine approach for women
Model-based clinical data capture
How can we achieve an integrated cancer medicine approach for women with HGSOC?
Tissue biopsy Liquid biopsy Imaging Highly annotated record
TP53
Tissue biomarker Clonal marker Plasma biomarker
p53 IHC as a diagnostic biomarker TP53 circulating DNA as a response assay Absolute copy number estimation
Analytical reliability in HGSOC
Christine Parkinson Davina Gale Anna Piskorz Nitzan Rosenfeld
Exploratory comparison of ctDNA quantification to CA125
3D volume analysis from CT imaging
ROI calculated by outlining volumes in Syngo.via (Siemens)
What volume of disease is detectable?
Correlation of volume with ctDNA and CA-125
Nadir value is reached earlier for ctDNA than CA-125
Ascites is a “third space” for cfDNA
ctDNA rise in brain metastasis
ctDNA fall after 1 cycle of chemotherapy predicts 6 month PFS
Ongoing analyses in current trials
- PHL093 Phase II trial evaluating gemcitabine/AZD 1775 in platinum resistant
- varian cancer
- Rucaparib in relapsed, platinum-sensitive high-grade ovarian carcinoma (ARIEL2
Part 1): an international, multicentre, open-label, phase 2 trial
- PiSARRO: a EUTROC Phase Ib Study of APR-246 with Carboplatin (C) and
Pegylated Doxorubicin (PLD) in Relapsed Platinum-Sensitive High Grade Serous Ovarian Cancer (HGSOC)
Why is absolute copy-number critical?
- Accurate CN comparison between samples
- Accurate identification of loss/gain of actionable
drivers
- Ability to use genome-wide CN based prognostic
measures such as the complex aberration index* Can we do it cheaply in a clinical workflow and use DNA from FFPE?
* Vollan et al Mol. Oncology 2015, Lartigue et al EJC 2015, or Schwartz et al, PLoS Med 2015
Why is this important?
- May provide a “formal grammar” to interpret
genomic profiles of HGSOC and development of more powerful molecular classification
- Immediately applicable to large FFPE collections
(e.g. OTTA, and trials including ICON7, ICON8).
- Genometypes may be important candidate
covariates for
- Nanostring gene expression signatures
- Molecular pathology, in particular patterns of immune
infiltration
- ctDNA analyses
Acknowledgements
Maria Vias Anna Piskorz Teodora Goranova Geoff Macintyre Debbie Sanders Samantha Boyle Dilrini De Silva Elizabeth Moore Douglas Hall Sarwah Al-Khalidi Stephanie Owen Filipe Martins Florian Markowetz Nitzan Rosenfeld Davina Gale Iain McNeish Darren Ennis CI Core facilities Biorepository Genomics Bioinformatics Paul Pharoah Jennifer Alsop Marie Mack Kristy Driver Marc Tischkowitz Martin Koebel Evis Sala John Stingl Bauke Ylstra BRITROC collaborators OTTA collaborators Addenbrooke’s Hospital Merche Jimenez-Linan Christine Parkinson Helena Earl Charlotte Hodgkin Heather Biggs Ilene Cannon Karen Hosking Sue Freeman Helen Addley