BHIVA - Patrick Kennedy
Transcription
BHIVA - Patrick Kennedy
BHIVA ANNUAL MEETING 2016 BHIVA Hepatology highlights Chronic hepatitis B: Role of new agents & future management strategies Patrick T. F. Kennedy Senior Lecturer & Honorary Consultant Hepatologist Blizard Institute, Barts and The London SMD, QMUL, London Chronic HBV Infection 350 million people worldwide with CHB >600,000 deaths per year 80% of deaths in those infected at birth/early childhood 25% of those infected in childhood develop cirrhosis or HCC Chronic HBV Infection Locarnini & Zoulim, Anitvir Ther 2010 Chronic HBV Infection NUC target Locarnini & Zoulim, Anitvir Ther 2010 Chronic HBV Infection NUC target Ideal therapy target Locarnini & Zoulim, Anitvir Ther 2010 Unmet Challenges in CHB • Strategies to achieve HBsAg loss and ‘cure’ • Understanding natural history of CHB • Reducing risk of HCC How can these be addressed? HEPATITIS B RESEARCH UK (HBV RUK) How can these be addressed? HEPATITIS B RESEARCH UK (HBV RUK) • • • • Consortium for Hepatitis B Research UK network Benefit academia and industry Serve the best interests of patients, the NHS and science to improve prevention, diagnosis and management of CHB HBV RUK DOMAINS • Epidemiology • Molecular & Diagnostic Virology • Viral Immunology • Clinical Hepatology HBV RUK DOMAINS • Epidemiology • Molecular & Diagnostic Virology • Viral Immunology • Clinical Hepatology Natural history & disease phase Better definitions of disease phase Gill & Kennedy;; Clin Med 2015 Is our current understanding of natural history & disease phase accurate? Does this implicate on disease management? Is our current understanding of natural history & disease phase accurate? How does this impact disease management? Evidence of immune activity in the ‘immune tolerant’ disease phase 10 P<0.001 6 4 4 2 0 0 CA<30 HC<30 P<0.001 6 2 IT P<0.001 8 % P D-‐1+ CD4 T cells 8 %PD-‐1+ CD8 T cells 10 P<0.001 IT CA<30 HC<30 Kennedy et al., Gastroenterology 2012 18 P = .006 14 10 6 4 2 0 0 20 40 Age (Years) 60 80 % CD127low PD1+ CD4 T cells % CD127low PD1+ CD8 T cells Evidence of immune activity in the ‘immune tolerant’ disease phase 8 P = .4383 6 4 2 0 0 20 40 60 80 Age (Years) Kennedy et al., Gastroenterology 2012 Evidence of liver damage in the ‘immune tolerant’ disease phase SIRIUS RED STAIN (COLLAGEN) HBeAg Positive;; HBeAb Negative ALT 39;; HBV DNA 9.71 log IU/ml HBsAg 145,138 IU/ml (5.16 log IU/ml) HBeAg Positive;; HBeAb Negative ALT 159;; HBV DNA 7.98 log IU/ml HBsAg 1,053 IU/ml (3.02 log IU/ml) Mason/Kennedy et al., Manuscript in preparation Evidence of liver damage in the ‘immune tolerant’ disease phase SIRIUS RED STAIN (COLLAGEN) HBeAg Positive;; HBeAb Negative ALT 40;; HBV DNA 8.66 log IU/ml HBsAg 22,916 IU/ml (4.56 log IU/ml) HBeAg Positive;; HBeAb Negative ALT 159;; HBV DNA 7.98 log IU/ml HBsAg 1,053 IU/ml (3.02 log IU/ml) Mason/Kennedy et al., Manuscript in preparation Nuclear core positive hepatocytes differentiate ‘immune tolerant’ disease HB NUCLEAR CORE STAINING IMMUNE TOLERANT DISEASE IMMUNE ACTIVE DISEASE Mason/Kennedy et al., Manuscript in preparation Clonal hepatocyte expansion Mason/Kennedy et al., Manuscript in preparation Redefining disease phase in CHB Immune Tolerance Non-Inflammatory Immune Clearance Inflammatory Bertoletti & Kennedy, Cell & Mol.Immunol 2014 The role of quantitative HBsAg •Assessment of on-treatment response – Peg-IFN stopping rules •Inverse correlation with fibrosis stage in HBeAg positive disease - Defining the true ‘immune-tolerant’ patient •Defining the ‘low-risk’ inactive carrier state;; - Reduced risk of disease progression & HCC Natural History & qHBsAg •Assessment of on-treatment response - Peg-IFN stopping rules •Inverse correlation with fibrosis stage in HBeAg positive disease -Defining the true ‘immune-tolerant’ patient •Defining the ‘low-risk’ inactive carrier state;; -Reduced risk of disease progression -Reduced risk of HBV related HCC Natural History & qHBsAg •Assessment of on-treatment response - Peg-IFN stopping rules •Inverse correlation with fibrosis stage in HBeAg positive disease -Defining the true ‘immune-tolerant’ patient •Defining the ‘low-risk’ inactive carrier state;; -Reduced risk of disease progression -Reduced risk of HBV related HCC HBsAg in Immune Tolerant Disease p=0.04 qHBsAg level (IU/ml) qHBsAg level (IU/ml) 200000 150000 100000 50000 600000 400000 200000 rs =0.06 p=0.04 100000 80000 60000 40000 20000 0 2-6 0-1 Ishak fibrosis stage 0 0 1 2 3 4 5 6 Ishak fibrosis stage Hansi et al., Unpublished Natural History & qHBsAg •Assessment of on-treatment response - Peg-IFN stopping rules •Inverse correlation with fibrosis stage in HBeAg positive disease -Defining the true ‘immune-tolerant’ patient •Defining the ‘low-risk’ inactive carrier state;; -Reduced risk of disease progression -Reduced risk of HBV related HCC Natural History & qHBsAg HBeAg Negative Disease – Inactive Carrier phase 10000 5000 0 30000 p=0.003 qHBsAg level (IU/ml) qHBsAg level (IU/ml) 15000 >30 ≤30 Patient Age (years) rs=0.03 p=0.006 20000 15000 10000 5000 0 10 20 30 40 50 60 Patient Age (years) Hansi et al., Unpublished Monitoring in CHB (NIHR RfPB grant) Treatment & management strategies Treatment sequence in CHB • PegIFN x 48 weeks (1st line) • Tenofovir (2nd line treatment) • Entecavir (alternative 2nd line for those who cannot tolerate TDF or contraindicated) • Application of Peg-IFN stopping rules to switch to NUC Current Treatment Regimes NUCs PegIFN-α - Excellent viral suppression -Immunomodulatory agent - Long term therapy -HBsAg decline or loss - High barrier to resistance -Moderate rate of relapse - Limited HBsAg reduction -Finite therapy - ? Treatment endpoints -Use of stopping rules HBV Treatment regimes Nucleos(t)ide Analogues (NUCs) TENOFOVIR ENTECAVIR Marcellin et al, Lancet 2015;; Chang, et al. Hepatology 2010 Current therapies are non-curative • Peg-IFN sustained immune control, but only in a minority of patients1 • HBeAg-negative & positive disease: – limited decline in HBsAg during NUC monotherapy2 • Long-term viral suppression is achieved, but sustained immune control following treatment cessation is limited3 1. EASL guidelines. J Hepatol 2012;;57:167–85;; 2. Z outendijk R, et al. J Infect Dis 2011;;204(3):415–8;; 3. Hadziyannis SJ, et al. Gastroenterology 2012;;143:629–36. Cytotoxic capacity & effector function of CD56bright NK cells is maintained on sequential NUC therapy *** *** 50 40 30 20 10 70 60 50 40 30 20 10 Pre-Treatment PEG-IFNα Sequential NUC 30.2 29.7 CD107 * p=<0.05;; ** p=<0.01;; *** p=<0.001 CD56 CD56 Pre-Treatment PEG-IFNα Sequential NUC 13.0 ns *** ns IFNγ+ CD56bright NK cells (%) CD107+ CD56bright NK cells (%) * 6.3 53.2 69.1 IFNγ Gill et al., submitted 60 40 20 80 60 40 20 0 0 60 40 50 40 30 20 10 NKp46+ CD56bright NK cells (%) 80 100 IFNγ+ CD56bright NK cells (%) NKp44+ CD56bright NK cells (%) 100 CD107+ CD56bright NK cells (%) TRAIL+ CD56bright NK cells (%) NKp30+ CD56bright NK cells (%) Phenotypic & functional capacity of CD56bright NK cells is greater on sequential NUCs compared to de novo NUC therapy & PegIFNα only therapy 30 20 10 0 0 Peg-IFNα therapy (EoT) 100 80 60 40 20 0 40 30 20 10 0 Sequential NUC de novo NUC 9-12m post Peg-IFNα (no further therapy) Decline in HBsAg is greater with sequential NUC therapy n=9 n=12 Sequential NUC de novo NUC Gill et al., submitted * p=<0.05;; ** p=<0.01;; *** p=<0.001 Decline in HBsAg is greater with sequential NUC therapy n=9 n=30 n=12 Sequential NUC n=28 de novo NUC Gill et al., submitted * p=<0.05;; ** p=<0.01;; *** p=<0.001 Novel Strategies for HBsAg loss Bertoletti & Rivino, Curr Opin Infect Dis., 2014 Future drug targets for HBV therapies Tenofovir alafenamide (TAF) • Non-inferiority to TDF in treatment naive & experienced HBeAg+ Pts • Similar rates of HBeAg loss/seroconv • High levels of ALT normalisation • No resistance reported Tenofovir alafenamide (TAF) • Safe & well tolerated • Significantly less changes in markers of bone mineral loss • Improvement in renal tubular function SUMMARY • Better understanding of clinical phenotypes & natural history of CHB is central to better treatment outcomes • Long term on-treatment viral suppression is standard of care – but suboptimal • Strategies to target cccDNA & achieve global immune restoration will be critical to delivering cure in CHB Progression of NAFLD 30% of population has NAFLD 10% of NAFLD develop NASH 25% of NASH develop cirrhosis 10 - 25% of cirrhosis develop HCC Siegel & Zhu 2009 Non-Alcoholic Fatty Liver Disease FAT INFLAMMATION Management of NAFLD • Mgt of metabolic syndrome: – Correct hyperlipidaemia • Diet & Exercise • Statins – monitor change from baseline • Glitazones – not soundly proven – Other CV risk factors • Hypertension • Smoking cessation – Insulin Resistance & optimise diabetes control ACKNOWLEDGEMENTS Fox Chase Cancer Centre Samuel Litwin William Mason Rayne Institute, UCL Dimitra Peppa, Lorenzo Micco, Harsimran D. Singh, Mala K. Maini ILS, Kings College Oltin Pop, Ivana Carey Alberto Quaglia Blizard Institute, QMUL Graham Foster Jyoti Hansi Uppy Gill Duke, NUS/SICS A* Star Elena Sandalova, Laura Rivino, Nina Le Bert, Evan Newell Antonio Bertoletti