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DEBIRI TACE Patterns and Predictors of Response

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Presentation on theme: "DEBIRI TACE Patterns and Predictors of Response"— Presentation transcript:

1 DEBIRI TACE Patterns and Predictors of Response
Robert Jones Declaration Robert Jones is a consultant to Biocompatibles UK LTD.

2 Pathological response to chemotherapy predicts survival
100 90 80 70 60 50 40 30 20 10 Major response Complete response Minor response % survival 1 2 3 4 5 6 7 8 9 10 Years Blazer, JCO 2008

3 Pathological Response Rates after Treatment
70 60 50 40 30 20 10 55% 55% FOLFOX/FOLFIRI DEBIRI-TACE 36% % patients 30% 15% 9% Minor Major Complete Pathological response

4 Metabolism of Irinotecan (CPT-11)
APC SN-38 CYP3A4 Blood CPT-11 CES2 Topo-1

5 “…tumour CES2 expression may contribute to variable response to irinotecan containing chemotherapy”
Clinical Cancer Research 2002; 8:

6 “…23 fold variation in CES-2 expression in colon cancers, which directly correlated with conversion from irinotecan to SN-38” Clinical Cancer Research 2003; 9:

7 “Absolute levels of CES-2 appear highest in hepatic parenchyma, with colorectal primary tumour having levels two to three fold lower ” British Journal of Cancer 1999; 80:

8 “Only 10% of cells need to express CES-2 for 48% growth suppression…
“Only 10% of cells need to express CES-2 for 48% growth suppression…..bystander growth suppression may play a role in the effect of CPT-11 ” Journal of Clinical Investigation 1998; 101:

9 Hypothesis Variation in pathological response to DEBIRI-TACE is due to inter-patient variation in metabolism of Irinotecan Metabolism within tumour Metabolism in surrounding tissue

10 Identification of Biomarkers
Prognostic Predictive

11 Fresh metastatic tumour
Fresh hepatic tissue FFPE primary tumour

12 Metabolomic Analysis n=3

13 Immunohistochemistry
Primary tumour Metastatic tumour Hepatic parenchyma CES-2 in primary colorectal cancer CYP3A4 in hepatic parenchyma

14 Proteomic Analysis

15 Summary Wide variation in response to DEBIRI-TACE
Exploration of reasons behind variation in response will define approach to treatment Identification of potential biomarkers of response will help guide personalisation of therapy


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