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Predictors of treatment response, baseline and on-treatment Jacob George Learning objectives • Understand the evolution of HCV therapies over the last decade • Be able to define baseline and on-treatment predictors of treatment response following: – Peg-IFN and RBV dual therapy – Triple therapy regimens • Understand role of genetic polymorphisms in predicting response • Develop an understanding of decision-making in complex patients • Understand risks and benefits of HCV therapies Ms X • • • • • • • First seen September 2000 45 yo Caucasian soldier in Australian Army Incidental diagnosis of HCV during medical Born in Australia Smoker: 10 cigarettes/day Alcohol: 30 g/day No medications apart from OCP Ms X – Past medical history • 1970: Jaundice 3 weeks post-transfusion for placenta praevia • Tattoos at age 18 • Denies IDU; has snorted cocaine • Has had body piercing • No family history of DM Ms X – Examinations/Investigations • NAD • BMI: Labs: • Bili • Albumin • AST • ALT • GGT FBC • Hb • WCC • Platelets 18 kg/m2 6 umol/L 40 g/L 40 U/L 41 U/L 39 U/L (0-20) (38-55) (0-40) (0-40) (0-45) 109 g/L 7.1x109/L 294 x109/L (119-160) (4-11) (150-400) Ms X – Results • • • • • HBsAg - HBcAb HCV Ab positive HCV PCR positive Genotype 1a HCV viral load: >850,000 IU/mL Ms X – Salient features • • • • 45 yo female Duration of infection: 31 years Alcohol consumption: Moderate HCV genotype 1a, high vial load • What next? Ms X – Liver biopsy • • • • 12 portal tracts Portal activity: Lobular activity: Fibrosis stage: • Would you treat? • Likely response rate? 2 2 3 Standard of care & mortality Liver-related deaths Non–Liver-related deaths 0.10 chronic cleared 0.08 Cumulative Incidence Cumulative Incidence 0.10 0.06 0.04 0.02 0.00 chronic cleared 0.08 0.06 0.04 0.02 0.00 0 2 4 6 Time (years) 8 0 2 4 6 Time (years) Omland LH, et al. J Hepatol. 2010;53:36-42. 8 Treatment of HCV prevents complications 307 patients with F3/F4 treated with peg-IFN/RBV: 103 (33%) achieved SVR (b) Hepatic decompensation 100% 100% 80% 80% % Liver Failure % Hepatocellular carcinoma (a) Hepatocellular carcinoma No SVR (n=204) 60% p<0.001 40% 20% 60% p<0.001 No SVR (n=204) 40% 20% SVR (n=103) SVR (n=103) 0% 0% 0 2 4 6 8 Years post-treatment 10 12 0 2 4 6 8 10 Years post-treatment al. J Hepatol 2010;52:652-657 Cardosa et al. JCardosa Hepatolet 2010;52:652-657 12 Predictors of treatment response • • • • • • • Genotype 2 or 3 (not 1, 4) Lower HCV viral load Milder fibrosis (F0-F1 vs F3-4) Lower body weight/insulin resistance Younger Adherence to treatment Female IDEAL: Importance of adherence 80/80/80* Non 80/80/80 peg-IFN 2b 1.5/RBV peg-IFN 2b 1.0/RBV peg-IFN 2a /RBV 70% 74% 61% (319/456) (327/442) (324/528) 16% 10% 20% (87/563) (59/574) (99/507) *80% peg-IFN/ 80% ribavirin/ 80% duration. *McHutchison JG, et al. Gastroenterology. 2002;123:1061–1069. Data on File, Schering-Plough Corporation. Ms X • • • • • • • • Shocked by Dx; not keen to start treatment Concerns re. working in army May 2001: Agreed to therapy IFN: 3 miu tiw/RBV (1 g/day) Hb 9.9 at week 5; RBV reduced to 600 mg/day, increased to 800 mg/day Hb stable at 10.2 Week 24: PCR-positive – treatment ceased Nov 2001: What next? Ms X – Enrolled in EPIC retreatment study • • • • • • • Started Rx 28 Jan 2003 Baseline VL: 14,098,837 IU/mL (7.2 log) Peg-IFN 100 ug/mL weekly RBV 400 mg BD Coped with treatment Week 12: HCV RNA: 4,011,628 IU/mL (6.6 log) Patient decided to stop Rx Ms X – Disappeared from follow up • Returned for review in April 2011 • Wanting permission to travel overseas with army Examination • NAD • BMI: 19 kg/m2 Ms X – Investigations Labs: • Bili 10 umol/L • Albumin 33 g/L • AST 105 U/L • ALT 109 U/L • GGT 214 U/L FBC • Hb 133 g/L • WCC 4.7x109/L • Platelets 122 x109/L • AFP 52 IU/ml HCV genotype 1a VL 2.77 x106 IU/mL (0-20) (38-55) (0-40) (0-40) (0-45) (119-160) (4-11) (150-400) Ms X – What next? • CT: No tumour • Fibroscan: 15.6 kPa (IQR 1.7) • IL28B: • rs12979860: CT (N Responder) • rs8099917: TT (Responder) • IL28B R Rate: 54% Role of rs12979860 and 8099917 * * Fischer et al. Hepatology 2012 Ms X – Questions Would you treat? • Triple therapy? • Wait for 4/5 drug regimen? • IFN-free regimen? What are the risks of treatment? HCV treatment has improved in Asian patients but response rates are still suboptimal in GT1 ASIA 100 HCV genotype 1/4 HCV genotype 2/3 90 95 90 85 GLOBAL ~80 80 70 SVR (%) 70 60 49 50 40 40 30 25 20 10 0 ~50 40 22 10 IFN 3MU IFN 6MU IFN/RBV Alfa/RBV Alfa/RBV Alfa/RBV 24 wks 24 wks 24 wks 24 wks 48 wks 48 wks 2009 1991 Alfa, peg-interferon alfa; IFN, interferon alfa MU, million units; RBV, ribavirin Yu ML & Chuang WL. J Gastoenterol Hepatol 2009;24:336-45. Ms X Commenced triple therapy • • Week 2: Hb 10.8, platelets 98, N 2.5 Week 4: • Hb 10, platelets 153, N 2.4 • HCV VL 1.54E5 IU/mL (17-fold, 5.18 log) • Commenced on BOC • Week 6: Hb 9.4, Platelets 101, N 1.3 IL28B is a strong baseline predictor of IFN response at end of lead-in (≥1 log decline at TW 4) RESPOND-2 (effect) IL28B genotype: CC vs. Non-CC Previous response: relapser vs nonresponder BOC/PR48 vs PR48 BOC/RGT vs PR48 SPRINT-2 (effect) IL28B genotype: CC vs. Non-CC Baseline HCV-RNA: ≤400,000 vs >400,000 Steatosis 0 vs >0 Race (non-black vs black) Gender (female vs male) BMI: ≤25 kg/m2 vs >30 kg/m2 Odds Ratio (95% CI) p-value 4.5 (1.5 – 13.7) 3.2 (1.6 – 6.4) 0.007 <0.001 0.2 (0.05 – 0.7) 0.14 (0.4 – 0.5) 0.01 0.004 Odds Ratio (95% CI) p-value 15.8 (6.3 – 39.8) 4.3 (1.3 – 14.6) <0.001 0.02 2.6 (1.6 – 0.7) 2.1 (1.2 – 3.7) 1.7 (1.1 – 2.6) 0.4 (0.2 to 0.7) 0.0003 0.007 0.03 0.001 Ms X • Week 8: HCV PCR negative, Hb 8.7, platelets 97, N 1.0 • Week 10: • Hb 8.4, WCC 2.9, platelets 73 • N 1.3 • RBV reduced to 600 mg • Coping with treatment • What next? Multiple stepwise logistic regression model of predictors of SVR including treatment Week 4 response RESPOND-2 (effect) Odds Ratio (95% CI) p-value BOC/PR48 vs PR48 11.4 (4.6 to 28.0) <.0001 BOC/RGT vs PR48 7.9 (3.3 to 18.9) <.0001 Previous response: relapser vs nonresponder 2.2 (1.2 to 4.3) 0.01 Log decline in HCV-RNA at TW 4 (continuous variable) 1.8 (1.3 to 2.4) <.0001 BMI: ≤25 kg/m2 vs >30 kg/m2 3.4 (1.4 to 8.2) 0.01 Odds Ratio (95% CI) p-value BOC/PR48 vs PR48 7.0 (4.1, 12.0) < 0.0001 BOC/RGT vs PR48 6.0 (3.5, 10.2) < 0.0001 Baseline HCV-RNA: ≤400,000 vs. >400,000 IU/mL 5.8 (1.9, 17.5) 0.002 Log decline in HCV-RNA at TW 4 (continuous variable) 2.6 (2.1, 3.0) < 0.0001 Genotype: 1b/others vs 1a 2.3 (1.5, 3.6) < 0.001 BMI: 25-30 kg/m2 vs. >30 kg/m2 2.3 (1.4, 3.9) 0.002 BMI: ≤25 kg/m2 vs. >30 kg/m2 1.9 (1.1, 3.3) 0.02 SPRINT-2 (effect) Only covariates remaining significant at α=0.05 after adjustment for the other variables were retained in the model as shown in the table. Ms X • Rash on face, cough • Husband asked her to see GP • ‘Going well’; “I’ll be OK’ • Admitted to hospital Week 11 • Septic shock • All medications ceased Safety of telaprevir or boceprevir in combination with peg-interferon alfa/ribavirin, in cirrhotic non responders. First results of the French Early Access Program (ANRS CO20-CUPIC) C Hézode1, C Dorival2, F Zoulim3, T Poynard4, P Mathurin5, S Pol6, D Larrey7, P Cacoub4, V de Ledinghen8, M Bourlière9, PH Bernard10, G Riachi11, Y Barthe2, H Fontaine6, F Carrat2, JP Bronowicki12 for the CUPIC study group (ANRS CO 20) Hôpital Henri Mondor, Créteil1, UMR-S 707, Paris2, INSERM U871, Lyon3, Hôpital de la Pitié-Salpêtrière, Paris4, Hôpital Claude Huriez, Lille5, Hôpital Cochin, Paris6, Hôpital Saint-Eloi, Montpellier7, Hôpital Haut-Lévèque, Pessac8, Fondation Hôpital Saint Joseph, Marseille9, Hôpital Saint André, Bordeaux10, Hôpital Charles Nicolle, Rouen11, Hôpital de Brabois, Nancy12, France French Early Access Program ATU The Temporary Authorisation for Use (ATU) is an Early Access Program for medicinal products which have undergone full clinical development and are waiting for marketing authorisation by the French Health Products Safety Agency (Afssaps) CUPIC Compassionate Use of Protease Inhibitors in viral C Cirrhosis National multicentre observatory in the setting of the ATU Promoter: ANRS Aim: To prospectively collect clinical data and biological specimen 29 Treatment regimen Interim analysis Peg-IFN + RBV BOC + Peg-IFN α-2b + RBV Follow-up BOC: 800 mg/8h; Peg-IFNα-2b: 1.5 µg/kg/week; RBV: 800 to 1400 mg/day TVR + Peg-IFN α-2a + RBV Peg-IFN α-2a + RBV Follow-up TVR: 750 mg/8h; Peg-IFNα-2a: 180 µg/week; RBV: 1000 to 1200 mg/day 0 4 8 12 36 16 Weeks 48 72 SVR assessment http://www.afssaps.fr/var/afssaps_site/storage/original/application/4b8c53711bab9d8f7d4c3f947caa90f6.pdf http://www.afssaps.fr/var/afssaps_site/storage/original/application/fa78af08e029caf9d82bcd9d3e77eb09.pdf 30 Telaprevir: preliminary safety findings Patients, n (% patients with at least one event) Telaprevir n=296 Serious adverse events (SAEs)* 144 (48.6%) Premature discontinuation Due to SAEs 77 (26.0%) 43 (14.5%) Death 6 (2.0%) Septicaemia, septic shock, pneumopathy, oesophageal varices bleeding, encephalopathy, lung carcinoma Infection (Grade 3/4) 26 (8.8%) Asthenia (Grade 3/4) 14 (4.7%) Rash Grade 3 Grade 4 (SCAR) 20 (6.8%) 2 (0.7%) Pruritus (Grade 3/4) 11 (3.7%) Hepatic decompensation (Grade 3/4) 13 (4.4%) *407 SAEs in 144 patients; SCAR: severe cutaneous adverse reaction 31 Boceprevir: preliminary safety findings Patients, n (% patients with at least one event) Boceprevir n=159 Serious adverse events (SAEs)* 61 (38.4%) Premature discontinuation Due to SAE 38 (23.9%) 12 (7.4%) Death Bronchopulmonary infection, sepsis 2 (1.3%) Infection (Grade 3/4) 4 (2.5%) Asthenia (Grade 3/4) 9 (5.7%) Rash Grade 3 Grade 4 (SCAR) 0 0 Pruritus (Grade 3/4) 1 (0.6%) Hepatic decompensation (Grade 3/4) 7 (4.4%) *158 SAEs in 61 patients; SCAR: severe cutaneous adverse reaction 32 Preliminary conclusions • The safety profile of DAAs among compensated cirrhotic patients treated in the CUPIC cohort was poor, but associated with high rates of on-treatment virologic response – Compatible with the use in real-life practice • We observed a high rate of SAEs (38.4 to 48.6%) compared to phase III trials results (9 to 14%) and high rate of discontinuation due to SAEs (7.4 to 14.5%) • Based on preliminary results of the CUPIC cohort, patients with cirrhosis should be treated cautiously and should be carefully monitored, especially because of a high incidence of anaemia with poor response to EPO • SVR rates in a real-world setting are awaited in this population 33 Summary • Baseline and on-treatment predictors of response can aid therapeutic decision making • IL28B SNPs are useful in predicting response in CHC • Triple therapies have significantly improved cure rates for genotype 1 CHC, but should be used with caution in those with advanced liver disease