Biomarker strategy for Personalized Healthcare at Roche

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1 Biomarker strategy for Personalized Healthcare at Roche E mi l i a An d e r sso n o n b e h a l f o f t h e I R I S t e a m No v th Munich Biomarker Conference Nov 29th 30th, 2016 Ramada Hotel & Conference Center, Munich, Germany Roche Innovation Center Munich, Roche Pharmaceutical Research and Early Development, Penzberg, Germany Personalized Healthcare at Roche Ou r l o n g st a n d i n g v i si o n Roche s vision is to unlock the full potential of personalized healthcare for patients through the development of breakthrough medicines and leading diagnostics. 2 1

2 Roche s Evolving PHC Strategy I n d i v i d u a l i se d t r e a t me n t s c o mi n g wi t h i n Patient scope r e a c h Individuals Individualised Treatments Specific groups Targeted Medicines Molecular information: Digitisation of healthcare data Broad disease segments Blockbuster Drugs Better understanding of disease heterogeneity Until 1990s 2000/2010s Roche s evolving PHC Strategy R e a d y t o t a k e t r a n sf o r ma t i o n a l st e p Big are shifting boundaries of what is and will be possible in medical research and patient care This is the next stage in Personalized Healthcare at Roche Science and technology will work together, combining insights from multiple healthcare data sources with sophisticated analytics This will transform R&D, so it is more effective and efficient And allow for better, evidence-based decisions and personalized patient care 2

3 Roche s evolving PHC Strategy Da t a a n a l y t i c s t o i mp r o v e R & D a n d p a t i e n t c a r e Access meaningful data Create insights Realise value from insights Clinical Trial Real World Advanced analytics of integrated data Drive more effective and efficient R&D Improve access & personalised patient care 5 IRIS - database designed to capture the patient context and tumor biological landscape Integrated platform for tumor analysis and study management Clinical Imaging Pathology Molecular Clinical Analytics & Results & Project Management Lab Workflow/ Sample handling CRO flow management Research Hub Defining analytics and workflows that extend tissue analysis to include clinical imaging, molecular information and clinical data for translational research 3

4 Keeping data in its context Usi n g sp a t i a l l y d i st r i b u t e d i n f o r ma t i o n f o r e p i d e mi o l o g y Keeping data in its context T e c h n o l o g i e s a v a i l a b l e f r o m g e o g r a p h i c i n f o r ma t i o n sy st e ms 4

5 The IRIS database is designed to capture the patient context and tumor biological landscape Generate high throughput, high quality, whole slide standardized biopsy images from automated assays (incl. multiplexing) LIMS Biomarker database Genomic databas e Collect and organize complex data from images to enable distribution and correlative analysis Clinical databas e Analyse and visualize contextual data for understanding and interpretation 9 Tumors are complex, heterogeneous structures De si g n e d t o a v o i d o u r d e f e n se me c h a n i sms Origin Structure Molecular information Distribution 5

6 The IRIS database is designed to capture the patient context and tumor biological landscape Prevalence tool designed to retrospectively dive deeper into the data from all samples in the database T-cell density and spatial distribution measurements capture the contexture of immune cells and proximity to tumor and stroma Localisation and distances of detected objects, e.g. T-cells, tumor cells Dynamic interplay of any cell population and/or subpopulation with a given reference point (e.g. immune cell, tumor cell, stromal cell, vessel ) Ki67 tumor cell Close distance CD8 T-cell Large distance Radius 6

7 PD 1 density Immune cell infiltration in tumor nest -Important sign of tumor cell recognition/eradication? MSS MSI 4 % of tumor cells in close contact to T-cells 21 % tumor cells in close contact to T-cells Ki67 tumor cell CD8 T-cell CRC patients from internal pilot study On the look for distinguishing features... g e n e r a t i n g i n si g h t s PD-1 MSS MSI PD-L1: IC score 0-1 PD-L1: IC score 2-3 PD-L1 7

8 PHC Pillars Access meaningful data Generating insights Realizing value Making sense of the complexity of today s vast research and healthcare data. Transforming medicine with insights from data and analytics. More effective and efficient research allow better patient outcomes. 15 IRIS pred Oncology pred informatics pred Pharma Sciences Dx Information Solutions (DIS) RTD Digital Pathology CPS Rare reagents 8

9 Do i n g n o w wh a t p a t i e n t s n e e d n e x t 9