FORMATTED: 02/22/17 New York, New York: February 24, 2017 Update From Seattle Joseph J. Eron Jr, MD Professor of Medicine University of North Carolina at Chapel Hill Chapel Hill, North Carolina Update from Seattle Joe Eron, MD Professor Medicine UNC Chapel Hill February 2017 Financial Relationships With Commercial Entities Dr Eron received research grants awarded to his institution from Gilead Sciences, Inc, Janssen Therapeutics, Inc, and ViiV Healthcare. He has served as a consultant to AbbVie, Bristol- Myers Squibb, Gilead Sciences, Inc, Janssen Therapeutics, Inc, Merck, and ViiV Healthcare (Updated 02/22/17) Slide 3 of 58
Outline of the Talk HIV Epidemiology Where we are with Antiretroviral Therapy ine New Antiretroviral therapy what the future may hold New uses of existing ART Dolutegravir/rilpivirine, dolutegravir mono-therapy, DTG/3TC for maintenance Antiretroviral Resistance Complications of HIV and its treatment Lung cancer, cardiovascular risk Prevention of STI Post exposure STI prevention HIV EPIDEMIOLOGY ARS Question #1 The CDC estimates that HIV incidence in the US from 2008 to 2014 has 1. Increased by about 4% per year 2. Was essentially stable as it has been for 15 years 3. Decreased by about 3.5% per year 4. Decreased by about 6.0% per year 5. Unsure Increased by about 4% per year 20%20% 20%20% 20% Was essentially stable as it has... Decreased by about 3.5% per year Decreased by about 6.0% per year Unsure 10
HIV Infections (No.) HIV Infections (No.) Estimated HIV Incidence in US: 2008-2014 50,000 45,000 40,000 35,000 30,000 25,000 20,000 15,000 10,000 5,000 0 Note: Data include persons with diagnosis of HIV infection regardless of stage of disease at diagnosis. a. Adjusted for missing risk factor information. Heterosexual contact with a person known to have, or to be at high risk for, HIV infection. b. Estimated annual percentage change is different from zero at the 5% significant level. Singh S, et al. 24th CROI; Seattle, WA; February 13-16, 2017. Abst. 30. Estimated HIV Incidence Among Persons Aged 13 Years, by Transmission Category a, United States, 2008-2014 -5.5 (-8.9, -2.0) b -3.6 (-4.3, -2.9) a -0.7 (-1.6, 0.2) -7.3 (-8.7, -5.9) b -13.8 (-16.3, -11.2) b 2008 2009 2010 2011 2012 2013 2014 Total Male-to-male sexual contact (MSM) Heterosexual contact Injection drug use (IDU) MSM/IDU 12,000 11,000 10,000 9,000 8,000 7,000 6,000 5,000 HIV Incidence in US: 2008-2014 Estimated HIV Incidence Among Men Who Have Sex with Men a, Aged 13 Years, by Race/Ethnicity b, United States, 2008-2014 Note: Data include persons with diagnosis of HIV infection regardless of stage of disease at diagnosis. a. Adjusted for missing risk factor information. b. Hispanics/Latinos can be of any race. c. Estimated annual percentage change is different from zero at the 5% significant level. Singh S, et al. 24th CROI; Seattle, WA; February 13-16, 2017. Abst. 30. 2008 2009 2010 2011 2012 2013 2014 Black/African American White Hispanic/Latino -0.7 (-2.2, 0.8) -3.1 (-4.5, -1.7) c 2.4 (0.5, 4.3) c State by State Estimated Incidence, Prevalence and Undiagnosed in US Satcher et al CDC Eight states had a significantly decreasing estimated incidence Wash DC (10% per year), Georgia (6.1%), Illinois (4.3%), Maryland (7.5%), New York (5.1%), North Carolina (4.9%), Pennsylvania (7.3%), Texas (2.4%) Multiple states had increasing prevalence with NY having >145,000 PWLHIV in 2014 19.2% of infections were undiagnosed in Texas (highest percentage) Five states (California, Georgia, Texas, New York and Florida) accounted for 52% of incident infections and 51% of undiagnosed infections in 2014
Whites, MSM and older individuals were more likely to have durable suppression. ANTIRETROVIRAL THERAPY INCREASED PERSISTENCE OF INITIAL ART WITH INSTI-CONTAINING REGIMENS THIBAUT DAVY, SONIA NAPRAVNIK, OKSANA ZAKHAROVA, JOSEPH J. ERON Discontinuation Virologic failure HR (95% CI) HR (95% CI) INSTI 0.49 (0.35, 0.69) 0.70 (0.46, 1.06) bpi 1.24 (1.05, 1.47) 1.24 (1.01, 1.53) Other 1.47 (1.24, 1.75) 1.21 (0.99, 1.46) NRTI 2.98 (2.38, 3.74) 1.72 (1.35, 2.19) NNRTI Ref. Ref.
ANTIRETROVIRAL THERAPY NEW AGENTS Monoclonal Antibodies for HIV treatment Not bnab Ibalizumab Binds second domain of CD4 molecule IV administration every 2 week Phase 3 study; IV infusion every 2 weeks 7 days functional mono-therapy in highly experienced patients (35% resistant to multiple agents in 4 or more classes). Then optimization of treatment 40 patients enrolled with mean CD4 cell count of 150 cells/mm 3 83% had > 0.5 log 10 decline and 60% had a > 1.0 log 10 decline over 7 days 43% had HIV RNA < 50 c/ml at week 24 Anticipated NDA filing this year Lewis et al Monoclonal Antibodies for HIV treatment Not bnab Pro-140 (Lalezari et al ) Binds to CCR5 molecule R5 only virus Pilot study single drug maintenance of suppression every 2 week sq injection 31 participants began a 12 week study 16 remained suppressed on mono-therapy and entered extension phase. At 2 yrs 10/16 remained < 50 c/ml UB-421 (Wang et al ) Binds first domain of CD4 molecule Pilot study single drug maintenance of suppression weekly or every other week IV infusion for 8 doses 14/14 and 15/15 remained suppressed for 2 or 4 months respectively. 3 and 4 participants in each arm had single HIV RNA blip. All re-suppressed on cart immediately following infusion period (or after viral rebound off all therapy in 5 participants)
New NRTI with broad activity against resistant variants (GS-9131) GS-9131 (Prodrug of GS-9148) CatA GS-9148 (Parent) Intracellular Metabolism of GS-9131 Cellular nucleotide kinases GS-9148-diphosphate (Active Metabolite) HIV-1 RT Chain-terminator EC 50 = 0.29-48 nm in PBMCs White, CROI, 2017, Presentation # 436 Plasma EC 50 = 10.6 µm in MT-2 cells Inside Cell IC 50 values HIV-1 RT = 2.3 µm DNA Pol γ = >300 µm 16 New NRTI with broad activity against resistant variants (GS-9131) Susceptibility of HIV-1 to ARVs (Fold-change vs WT) NRTI Mutation GS-9131 GS-9148 TFV FTC ABC ddi ZDV d4t K65R 0.56 0.66 1.98 8.22 2.46 1.87 0.23 1.22 M184V 0.31 0.43 0.47 >110 2.82 1.29 0.19 0.61 L74V 0.61 0.66 0.57 1.30 1.93 1.34 0.22 0.86 L74I 0.67 0.75 0.82 0.92 1.13 0.90 0.40 0.74 K65R+M184V 0.40 0.42 1.20 >110 7.72 3.16 0.17 0.85 K70E+M184V 0.28 0.31 0.58 >110 6.19 1.52 0.10 0.60 L74V+M184V 0.40 0.38 0.35 >110 6.41 2.35 0.12 0.73 4-TAM (4Y) 0.68 0.69 1.69 3.60 2.15 1.05 9.85 1.51 4-TAM (4F) 0.73 0.83 1.36 3.88 1.57 0.96 9.60 1.38 4-TAM (4Y)+M184V 0.41 0.45 0.85 >110 4.66 1.35 1.91 1.35 6 TAMs 1.50 1.65 4.2 5.70 4.70 1.86 379 3.20 6TAMs+M184V 0.75 0.85 2.07 >110 9.60 1.96 32 2.54 Color coding uses Monogram PhenoSenseGT cut-offs, with GS-9131 and its prodrug GS-9148 arbitrarily set at 2.5-fold. T69-insertion+4TAMs 1.11 1.39 5.70 7.68 5.59 3.1 >664 3.57 Green: Fold change < lower cut-off or Q151M 0.97 0.89 0.78 1.40 3.59 3.99 1.97 3.20 <2.5 if not defined Yellow: Fold change lower cut-off Q151M Complex 3.79 3.79 1.53 4.67 6.96 8.22 46 10 < upper cutoff Red: Fold change upper cut-off or 10-fold if not defined Q151M Complex+M184V 0.88 0.96 1.24 >110 >35 13 88 7.06 GS-9131 exhibited potent activity against HIV-1 with most patterns of NRTI resistance Whites, CROI, 2017, Presentation # 436 17 Unboosted Protease Inhibitor (GS-PI1) Similar in vitro activity to darunavir and atazanavir Greater impact of protein adjustment High barrier to resistance in in vitro selection experiments Activity against many PI-resistant variants Very slow clearance in human liver microsomes 12-14 hour ½ life in rats and dogs Compared to 0.4 to 1.3 DRV and ATV Link et al Abstract 433 18
Capsid Inhibitor: GS-CA1 Mode of Action Summary Tse et al Abstract 38 PRODUCER CELL NUCLEUS Gag Gag-Pol Maturation Capsid Core Assembly Pre-integration complex GS-CA1 Capsid Core Disassembly EC 50 140 picomolar in PBMC, Active across all tested subtypes, resistant variants low fitness Very long ½ life in RAT model 9x above paec 95 10 weeks after single injection Reverse Transcription Nuclear Translocation TARGET CELL NUCLEUS Integration 19 ANTIRETROVIRAL THERAPY NEW STUDIES OF APPROVED AGENTS SWORD-1 and SWORD-2 Phase III Study Design Screening Inclusion criteria On stable CAR >6 months before screening 1st or 2nd ART with no change in prior regimen due to VF Confirmed HIV-1 RNA <50 c/ml during the 12 months before screening HBV negative Identically designed, randomized, multicenter, open-label, parallel-group, non-inferiority studies VL <50 c/ml on INI, NNRTI, or PI + 2 NRTIs 1:1 Day 1 Early switch phase Late switch phase Continuation phase DTG + RPV (N=513) CAR (N=511) Week 52 Primary endpoint at 48 weeks: subjects with VL <50 c/ml (ITT-E snapshot) a DTG + RPV a -8% non-inferiority margin for pooled data. -10% non-inferiority margin for individual studies Conference on Retroviruses and Opportunistic Infections; February 13-16, 2017; Seattle, WA Week 148 DTG + RPV Countries Argentina Australia Belgium Canada France Germany Italy Netherlands Russia Spain Taiwan United Kingdom United States Llibre et al. ; Seattle, WA. Abstract 2421.
HIV-1 RNA <50 c/ml, % Conference on Retroviruses and Opportunistic Infections; February 13-16, 2017; Seattle, WA Snapshot Outcomes at Week 48 (Pooled) 100 80 60 40 20 0 95 95 Virologic success a Adjusted for age and baseline 3 rd agent. Virologic outcomes <1 1 Virologic non-response DTG + RPV (n=513) CAR (n=511) 5 4 No virologic data Adjusted treatment difference (95% CI) a CAR -0.2-3.0 2.5 DTG + RPV -8-6 -4-2 0 2 4 6 8 Percentage-point difference DTG + RPV is non-inferior to CAR with respect to snapshot in the ITT-E population (<50 c/ml) at Week 48 Llibre et al. ; Seattle, WA. Abstract 2421. Snapshot Outcomes at Week 48 Early switch phase a DTG + RPV n=513 n (%) CAR n=511 n (%) Virologic success 486 (95) 485 (95) Virologic non-response 3 (<1) 6 (1) Data in window not <50 c/ml 0 2 (<1) Discontinued for lack of efficacy 2 (<1) 2 (<1) Discontinued while VL not <50 c/ml Change in ART 1 (<1) 0 1 (<1) 1 (<1) No virologic data 24 (5) 20 (4) Discontinued due to AE or death 1 17 (3) 3 (<1) Discontinued for other reasons 7 (1) 16 (3) Conference on Retroviruses and Opportunistic Infections; February 13-16, 2017; Seattle, WA Two confirmed protocol defined virologic withdrawals per arm No resistance in CAR arm No InSTI resistance One patient who rebounded to >1,000,000 c/ml had a mixture at K101K/E with no change in RPV phenotype. Pt re-suppressed More drug-related AE with DTG/RPV Missing data during window but on study 0 1 (<1) No differences in lipids ~74% of InSTI or NNRTI at BL 1 Two deaths in the study, both unrelated to study drug. DTG+RPV Kaposi s Sarcoma (N=1), CAR Lung cancer (N=1) ~70% on TDF at BL a Data pooled across SWORD-1 and SWORD-2. Llibre et al. ; Seattle, WA. Abstract 2421. ANRS 167 Lamidol Trial Joly et al CD4 nadir > 200 c/ml, first line ART (up to 2 modifications allowed provided no failure), previous wild-type genotype
ANRS 167 Lamidol Trial Joly et al ARS Question #2 Switching to dolutegravir monotherapy in patients on combination ART with suppressed HIV RNA 1. Results in rapid virologic failure 2. Results in low level viremia in a minority of patients but no resistance emergence 3. Results in low level viremia in a minority of patients with integrase inhibitor resistance emerging in some patients 4. Shows sustained virologic suppression similar to continued therapy 5. unsure Results in rapid virologic failure 20%20% 20%20% 20% Results in low level viremia in... Results in low level viremia in... Shows sustained virologic supp... unsure 10 104 patients on cart initially randomized to immediate switch to DTG mono-therapy or delayed switch after 24 weeks. In the concurrent control group on cart, VF was observed significantly less (3/152 vs 8/96, p=0.03). Endpoint > 200 c/ml
Comprehensive Assessment of Resistance Mutations Selected by Dolutegravir (DTG) in Subjects Failing DTG-Monotherapy after Switching from other Therapies (Redomo Study) Blanco et al Pt code 122 patients from 3 sites switched to DTG mono-therapy 11 had virologic failure In 5 of 11 DTG was their first InSTI. And 8 of 11 were supressed > 3 years Adherence was less than 95% in 4 of 11 Weeks (median,iqr) from VF until GRT: 5 (3-14) Prior IsSTI without VF Weeks UVL before DTG-M Baseline VL B001 None 768 <37 B002 RAL 0 (LLV) 86 (prior 71,51) B003 None 312 <37 B004 RAL (LLV/GRT:WT) 12 249 (prior <37) B007 EGV 240 <37 B008 None 480 <50 M001 RAL 232 21 VLs on DTG-M 330 (8),146(10), 1393(18) 80 (16), 171 (18), 122 (32), 3228 (48) 26180 (20), 6014 (22), 10560 (28) 123 (12), 1350 (24) 22170 (25) 57 (52), 51 (64), <37 (88) 190 (32), 1350 (36), 40000 (40) 55 (2), 168 (13), 239 (15) UVL: undetectable viral load; ADH: adherence; PC: Pill count; SQ: Self questionnaire; GRT: Genotypic resistance test; GRM: genotypic resitance mutations ADH Weeks to VF VL at VF Weeks to GRT VL at GRT First IN-GRM 98% (PC) 8 330 8 330 155H 98% (PC) 16 80 32 122 118R 50% (PC) 20 26180 28 6014 148K,138K 82% (PC) 0 123 32 22170 92Q,155H 100% (PC) 52 57 64 57 97A,155H 88% (PC) 32 190 36 1350 148H,155H, 60% (SQ) 0 55 16 239 148R,140S M002 None 228 <20 538 (24), 11000 (28) 100% (SQ) 24 538 29 11000 148H,140S C001 EVG 20 <50 306 (24), 583 (28) 100% (SQ) 24 306 24 306 118R B005 RAL,EGV 432 <37 B006 None 172 <37 Median (IQR) 236 (186-402) 179 (13), 71 (14), 56 (16) 355 (72), 1355 (76), 1397 (80), <37 (92) 98% (PC) 13 179 14 71 No 100% (PC) 72 355 76 355 No 20 (11-28) 190 (102-343) 29 (20-34) 330 (181-3682) ANTIRETROVIRAL THERAPY RESISTANCE Low Prevalence of Drug Resistance with Modern Agents Davy et al Figure 1. Prevalence of resistance among patients in care by calendar year. Figure 2. Prevalence of resistance among patients with virologic failure by calendar year. Among 685 patients initiating ART 2007-2014 and still in care in 2015, we observed the following resistance profile in 2015: - any class: 21% (95% CI 17%, 24%) - NNRTI: 17% (14%, 20%) - NRTI: 6% (4%, 8%) - PI: 2% (1%, 4%) - INSTIs 1% (0%, 2%) - 2 or more classes: 5% (3%, 7%) - 3 or more classes: 1% (0%, 2%)
ARS Question #3 In sub-saharan Africa pre-treatment antiretroviral drug resistance is: 1. Uncommon (< 5%) of treatment naïve patients 2. Occurring at similar rates to the US but with frequent NRTI and NNRTI resistance 3. Occurring at similar rates to the US but like the US mostly NNRTI resistance with a single mutation 4. Very common (> 20%) of treatment naïve patients 5. Unsure Occurring at similar rates to th... Uncommon (< 5%) of treatment... 20%20% 20%20% 20% Occurring at similar rates to th... Very common (> 20%) of treat... Unsure 10 35% 30% 25% 20% 15% 10% Pretreatment Drug Resistance in TASP trial All ART-naïve *17,1% Prevalence of PDR in TASP 8,5% *21,6% Recently-infected 8,7% Chronically-infected 16,7% 8,5% 30% 25% 20% 15% Distribution of Drug Resistance Mutations per ARV class in all ART-naive All ARV class PI NRTI NNRTI 5% 0% 2% 20% 2% 20% 2% 20% *include only NGS data 10% 5% 0% >2% >5% >20% >2% >5% >20% >2% >5% >20% >2% >5% >20% PDR prevalence ~9% in both recently- and chronically infected participants 2x more low-level variants detected with NGS NNRTI mostly compromised by PDR, but NRTIs are still active Derache A et al. Croi 2017 abstract# 43 Mostly driven by K103N 32 HIV AND COMPLICATIONS
The Association between Cardiovascular Disease and Contemporarily used Protease Inhibitors 86,500 patients total More likely to be in GAP Younger Black Low CD4 Smoker Receiving at PI
Population attributable traction (PAF) ARS Question #4 Myocardial infarctions in the HIV positive population are predominantly due to: 1. Low nadir CD4 cell count with persistent inflammation 2. Use of abacavir 3. Typical cardiovascular risk factors (e.g. smoking, hypertension and lipid abnormalities) 4. Unsure Low nadir CD4 cell count with... 25% 25% 25% 25% Use of abacavir Typical cardiovascular risk fact... Unsure 10 NA-ACCORD: Contributions to MI Risk in HIV+ Subjects Population attributable fractions and 95% confidence intervals for traditional and HIV-related factors, and hepatitis C virus infection, NA-ACCORD (1 Jan 2000 31 Dec 2013) 80% 70% 60% 50% 40% 30% 38% 41% 43% 20% 10% 0% 2% 3% 10% 6% 2% 8% Population attributable fractions have been adjusted for all the risk factors in the figure, as well as age, sex, race, HIV transmission risk, diabetes, and stage 4 chronic kidney disease. Althoff K, et al. 24th CROI; Seattle, WA; February 13-16, 2017. Abst. 130. HIV AND CURE
HIV AND PREVENTION
Beatriz Grinsztejn Jean-Michel Molina Bach-Yen Nguyen Keri Altoff Mark Wainberg David Piontkowsky Acknowledgements Sonia Napravnik Thibaut Davy Chuck Hicks Jintanat Ananworanich FORMATTED: 02/22/17 New York, New York: February 24, 2017 Update From Seattle Joseph J. Eron Jr, MD Professor of Medicine University of North Carolina at Chapel Hill Chapel Hill, North Carolina