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What do we need to knowabout RAVs clinically ?
Stefan Zeuzem, MDUniversity of Frankfurt
Germany
14th European HIV & Hepatitis WorkshopRome, 25-27 May, 2016
Background• Resistance associated variants (RAVs) or resistance associated
polymorphisms (RAPs) with reduced drug susceptibility are observed in patients with chronic HCV
– Due to the high replication rate of HCV (1012 / day)– Error-prone RNA-dependent RNA polymerase
(10-4 to 10-5 per copied nucleotide)
• All possible single and double mutants are predicted to be generatedmultiple times each day
• Not all RAVs are fit enough to persist (but potentially under selectionpressure of a respective DAA). Most NS3A RAVs disappear after EoT(HCV1b > HCV1a), while many NS5A RAVs persist
• The level of resistance in vivo may differ between a RAV in previouslyuntreated patient and the same RAV selected by a DAA (= TEV) (e.g. due to compensatory mutations)
Rong et al., Sci Transl Med 2010
Zeuzem et al., Ann Intern Med 2015Jacobson et al., AASLD 2016
Group GTPosition
K24 M28 (L28)†
Q30 (R30)* L31 P32 S38 H58
(P58)‡ A92 Y93
EBR RAVs1a -¶ A, G, T D, E, H,
G K, L, R F, M, V -¶ -¶ D -¶ C, H, N, S
1b -¶ Any Any Any L -¶ D K AnyNS5A Class RAVs 1a or 1b Any Any Any Any Any Any Any Any Any†Wild type amino acid at position 28 is M in GT1a and L in GT1b*Wild-type amino acid at position 30 is Q in GT1a and R in GT1b.‡Wild type amino acid at position 58 is H in GT1a and P in GT1b¶No EBR RAVs identified at this position
Note that EBR RAVs are a subset of the NS5A class RAVs
How to define a RAV ?
• RAV per specific drug or drug class(e.g. resistance against elbasvir or any NS5A inhibitor)
• Genotypic backbone in vitro and in vivo(e.g. genotype 1a or 1b replicons, other genotypes)
How to define a RAV ?
• RAV per specific drug or drug class(e.g. resistance against ledipasvir or any NS5A inhibitor)
• Genotypic backbone in vitro and in vivo(e.g. genotype 1a or 1b replicons, other genotypes)
• Level of reduced susceptibility in vitro(e.g. any aa change vs >2.5-fold vs >100-fold)
NS5A RAVs - Overview
GT 1a GT1bM28T Q30R L31M/V Y93H/N L31V Y93H/N
Ledipasvir >20x >100x >100x >1,000x >1,000x/-
Ombitasvir >1,000x >100x<3x
>10,000x <10x >50x>100x
Daclatasvir >100x >1,000x >100x >1000x
>1,000x >10,000x >20x >20x
Elbasvir >10x >10x>10x
>100x <10x >10x/->100x
Velpatasvir <10x <3x >20x >100x>1,000x <3x/-
Odalasvir >20x <10x <3x >1,000x <3x<3x
<10x
ABT-530 <3x <3x <3x <10x <3x <3x
MK-8408 <10x <10x <10x <10x <10x <10x
Cheng et al., EASL 2012; Wong et al., AAC 2013; Krishnan et al., AAC 2015; Fridell et al., Hepatology 2011; Liu et al., AAC 2015; Cheng et al., EASL 2013; Patel et al., EASL 2015; Ng et al., CROI 2014; Asante-Appiah et al., AASLD 2014
EC50 fold-change compared to WT replicon
How to define a RAV ?
• RAV per specific drug or drug class(e.g. resistance against ledipasvir or any NS5A inhibitor)
• Genotypic backbone in vitro and in vivo(e.g. genotype 1a or 1b replicons, other genotypes)
• Level of reduced susceptibility in vitro(e.g. any aa change vs >2.5-fold vs >100-fold)
• Methodology of RAV detection (sensitivity threshold)(e.g. deep sequencing with a cut-off at 1% orpopulations sequencing with a cut-off at 15-25%)
G T 1 b
S e n s it iv ity T h re s h o ld (% )
Pre
va
len
ce
(%
)
0 5 1 0 1 5 2 0 2 5 3 0 3 5 4 0 4 5 5 00
1 0
2 0
3 0
L D V R A V sC la s s R A V s
Y 9 3H
G T 1 a
S e n s it iv ity T h re s h o ld (% )
Pre
va
len
ce
(%
)
0 5 1 0 1 5 2 0 2 5 3 0 3 5 4 0 4 5 5 00
1 0
2 0
3 0
L D V R A V s
C la s s R A V s
Y 9 3H
N=3509 N=1887
GT1a Position LDV RAVs NS5A Class RAVs
24 G/N/R G/N/R26 E28 A/G/T A/G/T/V30 E/G/H/L/K/R/T C/E/G/H/I/L/K/R/S/T/Y31 I/F/M/V I/F/M/V32 L L38 F F58 D D/L92 K/T K/T93 C/F/H/N/S C/F/H/L/N/R/S/T/W
GT1b Position LDV RAVs NS5A Class RAVs
28 M31 I/F/M/V I/F/M/V32 L L58 D D92 K K93 C/H/N/S C/H/N/S
Methodology of RAV detection
Date on file, GileadHongmei Mo, personal communication
Frequency and characteristics of RAVs in treatment-naive and DAA-experienced patients - European RAVs database: Serum samples of 3549 European HCV-infected patients Population-based sequencing for NS3, NS5A, and NS5B Considered relevant if associated with treatment failure or shown to confer
>2-fold changed drug susceptibility in comparison to reference strain
No RAVs detected in G1a or G2
Dietz J, et al. EASL 2016, Barcelona. #PS007
RAVs in SOF/PR and SOF/RBV failures
16%
40%32%
55%
0%
20%
40%
60%
80%
L159
F
C316
H/N
Freq
uenc
y of
RAV
s*
DAA-naive (n=706)SOF/PR; SOF/RBV (n=55)
0%11%
0%
20%
40%
60%
80%
L159
F
DAA-naive (n=313)SOF/PR; SOF/RBV (n=41)
EC50 fold change: 1.6 (L159F together with C316N) EC50 fold change: 1.3
RAVs in DAA-naive pts (53%) RAVs in SOF/PR and SOF/RBV pts (61%)
RAVs in DAA-naive pts (0%)RAVs in SOF/PR and SOF/RBV pts (11%)
G1b G3
NS5B NS5B
*Double variants were calculated as single RAVs. Thus, sum of single RAVs frequencies is not identical with rate of patients with RAVs.
Dietz J, et al. EASL 2016, Barcelona. #PS007
RAVs in SMV/SOF failures NS3
NS3
<1% 1% <1% <1% 1% 1%3% 3%
44%
0%
20%
40%
60%
80%
F43V
Q80
K/R
S122
R
R155
K
A156
S/TV
D168
E/N
/V
Freq
uenc
yof
RAVs
*
DAA-naive (n=706) SMV/SOF (n=33)
34%
1% <1% <1%
59%
41%
24%
0%
20%
40%
60%
80%Q
80K
R155
G/K/
T
A156
T/V
D168
E/VFr
eque
ncy
of R
AVs*
DAA-naive (n=766)SMV/SOF (n=18)
RAVs in DAA-naive pts (36%) RAVs in SMV/SOF pts (82%)
RAVs in DAA-naive pts (3%)RAVs in SMV/SOF pts (44%)
EC50 fold change: 10 20–100 20–100
EC50 fold change: 10->100
4%
25%
50%
0%20%40%60%80%
Q80
R
D168
E/VFr
eque
ncy
of R
AVs DAA-naive (n=99) SMV/SOF (n=4)
RAVs in DAA-naive pts (4%)RAVs in SMV/SOF pts (75%)
EC50 fold change: no data in G4
G1a
G1b
G4NS3
*Double variants were calculated as single RAVs. Thus, sum of single RAVs frequencies is not identical with rate of patients with RAVs.
Frequency and characteristics of RAVs in treatment-naive and DAA-experienced patients - European RAVs database:
Dietz J, et al. EASL 2016, Barcelona. #PS007
RAVs in DCV/SOF versus LDV/SOF failures (G1)
*Double variants were calculated as single RAVs. Thus, sum of single RAVs frequencies is not identical with rate of patients with RAVs.
NS5A – DCV/SOF NS5A – LDV/SOF
1% 6% 4% 3% <1% <1% 1%8% 8%
67%
25%17%
8%
0%
20%
40%
60%
80%
100%
K24R
M28
A/T/
V
Q30
E/H/
L/R
L31M
H58D
A92T
Y93
C/F/
N
Freq
uenc
y of
RAV
s* DAA-naive (n=766)
DCV/SOF (n=14)
1% 6% 4% 3% <1% <1% 1%2% 7%
59%
9% 2% 2%
34%
0%20%40%60%80%
100%
K24R
M28
T/V
Q30
E/H/
L/R
L31M P32L
H58D
A92T
Y93
C/F/
N
DAA-naive (n=766)LDV/SOF (n=47)
RAVs in DAA-naive pts (13%)RAVs in DCV/SOF pts (83%)
RAVs in DAA-naive pts (13%)RAVs in LDV/SOF pts (82%)
EC50 fold change: >1000 >100 >100 >100 >100
G1a
G1b
<1% <1% 9% 4% 7%
73% 82%
0%20%40%60%80%
100%
L28V
R30H
L31
F/I/M
/V
A92T
Y93HFr
eque
ncy
of R
AVs*
DAA-naive (n=706) DCV/SOF (n=14)
<1% <1% 9% 4% 7%3%
40%
3%
83%
0%20%40%60%80%
100%
L28V
R30H
L31
F/M
/V
A92T
Y93H
DAA-naive (n=706) LDV/SOF (n=41)
RAVs in DAA-naive pts (20%)RAVs in DCV/SOF pts (82%)
RAVs in DAA-naive pts (20%)RAVs in LDV/SOF pts (93%)
EC50 fold change: 2–10 20–100 2–100 >100
Frequency and characteristics of RAVs in treatment-naive and DAA-experienced patients - European RAVs database:
Dietz J, et al. EASL 2016, Barcelona. #PS007
RAVs in DCV/SOF versus LDV/SOF failures (G3 & 4)NS5A – DCV/SOF NS5A – LDV/SOFG3
G4
7% 2%11%
84%
0%
20%
40%
60%
80%
100%
A30K
Y93H
Freq
uenc
y of
RAV
s* DAA-naive (n=313)DCV/SOF (n=21)
7% 2%7%0%
20%40%60%80%
100%
A30K
Y93H
DAA-naive (n=313)LDV/SOF (n=15)
RAVs in DAA-naive pts (9%)RAVs in DCV/SOF pts (95%)
RAVs in DAA-naive pts (9%)RAVs in LDV/SOF pts (7%)
EC50 fold change: >1000 no data
2%
84%100%
0%20%40%60%80%
100%
L28M
L30R
/S
Freq
uenc
y of
RAV
s*
DAA-naive (n=99)DCV/SOF (n=2)
2%
64% 57%
29%43%
0%20%40%60%80%
100%
L28M
Q30
R
M31
V
Y93C
/H
DAA-naive (n=99) LDV/SOF (n=9)
RAVs in DAA-naive pts (66%)RAVs in DCV/SOF pts (100%)
RAVs in DAA-naive pts (66%)RAVs in LDV/SOF pts (86%)
2–10 >100 EC50 fold change:
Frequency and characteristics of RAVs in treatment-naive and DAA-experienced patients - European RAVs database:
Dietz J, et al. EASL 2016, Barcelona. #PS007
RAVs in 3D failures
Frequency and characteristics of RAVs in treatment-naive and DAA-experienced patients - European RAVs database:
How to define a RAV ?
• RAV per specific drug or drug class(e.g. resistance against ledipasvir or any NS5A inhibitor)
• Genotypic backbone in vitro and in vivo(e.g. genotype 1a or 1b replicons, other genotypes)
• Level of reduced susceptibility in vitro(e.g. any aa change vs >2.5-fold vs >100-fold)
• Methodology of RAV detection (sensitivity threshold)(e.g. deep sequencing with a cut-off at 1% or populationssequencing with a cut-off at 15-25%)
• Impact of RAVs on SVR rates(e.g. combination partner, treatment duration, stage of disease)
Simeprevir + Sofosbuvir in GT1a-infected patients (TN+TE): Impact of the NS3 RAV Q80K
97 96
0
20
40
60
80
100
SMV + SOF
SVR
(%)
SVR w/o Q80K SVR with Q80K
Kwo et al., OPTIMIST-1, EASL 2015; Lawitz et al. , OPTIMIST-2, Hepatology 2015
Tx duration 12 weeks
Cirrhosis No
Q80K frequency 40%
Simeprevir + Sofosbuvir in GT1a-infected patients (TN+TE): Impact of the NS3 RAV Q80K
84
97
73
96
0
20
40
60
80
100
SMV + SOF SMV + SOF
SVR
(%)
SVR w/o Q80K SVR with Q80K
Tx duration 8 weeks 12 weeks
Cirrhosis No No
Q80K frequency 42% 40%Kwo et al., OPTIMIST-1, EASL 2015; Lawitz et al. , OPTIMIST-2, Hepatology 2015
Simeprevir + Sofosbuvir in GT1a-infected patients (TN+TE): Impact of the NS3 RAV Q80K
84
9792
73
96
74
0
20
40
60
80
100
SMV + SOF SMV + SOF SMV + SOF
SVR
(%)
SVR w/o Q80K SVR with Q80K
Tx duration 8 weeks 12 weeks 12 weeks
Cirrhosis No No Yes
Q80K frequency 42% 40% 47%Kwo et al., OPTIMIST-1, EASL 2015; Lawitz et al. , OPTIMIST-2, Hepatology 2015
SVR12 Rates by Treatment Regimen (LDV/SOF)and Duration: Patients without
Cirrhosis
98 9990
99 99 99
0
20
40
60
80
100
LDV/SOF 8 Weeks LDV/SOF 12 Weeks LDV/SOF 12 Weeks
With NS5A RAVs No NS5A RAVs
30/32 107/108 187/ 189 504/509 79/88 298/300
SVR1
2 (%
)
TN < 6M TN TE Studies included for analysis: LDV/SOF 8 weeks: GS-US-337-0118 (LONESTAR 1), GS-US-337-0108 (ION-3); LDV/SOF 12 Wks TN: GS-US-GS-US-334-1274 (Bleeding Disorder), GS-US-337-0102 (ION-1), GS-US-337-0108 (ION-3), GS-US-337-0113 (Japan 1), GS-US-337-0115 (ION-4), GS-US-337-0122 (Electron 2), GS-US-337-0131(China), GS-US-337-0118 (LONESTAR 1), GS-US-337-1406, GS-US-337-1468 (LEPTON); LDV/SOF 12 Wks TE: GS-US-337-0109 (ION-2), GS-US-337-0113 (Japan 1), GS-US-337-0115 (ION-4), GS-US-337-0124 (SOLAR-2), GS-US-334-1274 (Bleeding Disorder), GS-US-337-0118 (LONESTAR 1) , GS-US-337-0131(China), GS-US-337-1406, GS-US-337-1468 (LEPTON)
Zeuzem et al., AASLD 2015Sensitivity threshold at 1% (deep sequencing)
SVR12 Rates by Treatment Regimen (LDV/SOF) and Duration: TN Patients with Cirrhosis
96 10088
96 100 100
0
20
40
60
80
100
LDV/SOF LDV/SOF+RBV LDV/SOF
With NS5A RAVs No NS5A RAVs
26/27 65/68
12 weeks 24 weeks
SVR1
2 (%
)
10/10 27/27 8/9 19/19
Studies included for analysis: LDV/SOF 12 Wks: GS-US-334-1274 (Bleeding Disorder), GS-US-337-0102 (ION-1), GS-US-337-0113 (Japan 1), GS-US-337-0115 (ION-4), GS-US-337-0122 (ELECTRON-2), GS-US-337-0131(China), GS-US-337-1406;LDV/SOF+RBV 12 Wks: GS-US-337-0102 (ION-1), GS-US-337-0113 (Japan 1), GS-US-337-0122 (ELECTRON-2); LDV/SOF 24 Wks: GS-US-337-0102 (ION-1), GS-US-334-1274 (Bleeding Disorder)
Zeuzem et al., AASLD 2015Sensitivity threshold at 1% (deep sequencing)
SVR12 Rates by Treatment Regimen and Duration: TE Patients with Cirrhosis
89 8796 100
0
20
40
60
80
100
LDV/SOF+RBV LDV/SOF
With NS5A RAVs No NS5A RAVs
59/66 206/214
12 weeks 24 weeks
SVR1
2 (%
)
13/15 84/84
Studies included for analysis: LDV/SOF+RBV 12 Wks: GS-US-337-0109 (ION-2), GS-US-337-0113 (Japan 1), GS-US-337-0118 (LONESTAR-1), GS-US-337-0122 (ELECTRON-2), GS-US-337-0123 (SOLAR-1), GS-US-337-0124 (SOLAR-2), GS-US-337-1118 (Retreatment), P7977-0523 (ELECTRON); LDV/SOF 24 Wks: GS-US-337-0109 (ION-2), GS-US-337-0121 (SIRIUS), GS-US-334-1274 (Bleeding Disorder)
Zeuzem et al., AASLD 2015Sensitivity threshold at 1% (deep sequencing)
How to define a RAV ?
• RAV per specific drug or drug class(e.g. resistance against ledipasvir or any NS5A inhibitor)
• Genotypic backbone in vitro and in vivo(e.g. genotype 1a or 1b replicons, other genotypes)
• Level of reduced susceptibility in vitro(e.g. any aa change vs >2.5-fold vs >100-fold)
• Methodology of RAV detection (sensitivity threshold)(e.g. deep sequencing with a cut-off at 1% or populationssequencing with a cut-off at 15-25%)
• Impact of RAVs on SVR rates(e.g. combination partner, treatment duration, stage of disease)
Grazoprevir + Elbasvir for 12 wks in TN/relapse GT-1a patients: Impact of NS5A RAVs on SVR rates
98% 98% 98% 98%58%
86% 72% 91%
0%
20%
40%
60%
80%
100%
EBR RAVs NS5A class RAVs EBR RAVs NS5A class RAVs
Population sequencing Next generation sequencing
SVR1
2
Patients without RAVs Patients with RAVs
No RAVS: 414/438‡
(95%)
No RAVS: 352/438‡
(80%)
No RAVS: 396/439‡
(90%)
No RAVS: 289/439‡
(65%)
EBR RAVs EBR RAVsNS5A Class RAVs NS5A Class RAVs
1424
405414
7486
345352
3143
389396
136150
284289
5% 20% 10% 35%
PREV
ALEN
CE
†NGS with 1% ST supplemented by Population Sequencing when NGS not available. ‡ One GT1a was missing baseline population sequencing data but had baseline NGS dataEBR RAV List = For GT1a: M/L28T/A/G, Q/R30E/H/R/G/K/L/D, L31M/V/F, H58D, or Y93C/H/N/S NS5A Class RAV List = Any variant from reference strain at NS5A position 24, 28, 30, 31, 32, 38, 58, 92 or 93
Population Sequencing Deep Sequencing at 1% Sens. Threshold†
Jacobson et al., AASLD 2015
Effect of RAVs at Specific Baseline Positions on Likelihood to Achieve SVR12
RAV Position
SVR12Subjects with RAVs
(1% ST NGS)
SVR12Subjects With RAVs (Population
Sequencing)
24 15/18 (83.3%) 4/4 (100.0%)
28 61/68 (89.7%) 29/33 (87.9%)
30 14/23 (60.9%) 4/10 (40.0%)
31 15/23 (65.2%) 5/13 (38.5%)
32 1/1 (100.0%) --
38 9/9 (100.0%) --
58 75/77 (97.4%) 48/49 (98.0%)
92 6/6 (100.0%) 3/3 (100.0%)
93 9/14 (64.3%) 5/8 (62.5%)
GT1a-Infected TN/TE Subjects given EBR/GZR 12 weeks (no RBV)
NGS using 1% ST supplemented by Population Sequencing when NGS not availableNS5A Class RAV List = Any variant from reference strain at NS5A position 24, 28, 30, 31, 32, 38, 58, 92 and 93
Grazoprevir + Elbasvir for 12 wks in TN/relapseGT-1b patients: Impact of NS5A RAVs on SVR rates
100% 100% >99% 99%98% 99% 98% 99%
0%
20%
40%
60%
80%
100%
EBR RAVs NS5A class RAVs EBR RAVs NS5A class RAVs
Population sequencing Next generation sequencing
SVR1
2
Patients without RAVs Patients with RAVs
Population Sequencing Deep Sequencing at 1% Sens. Threshold†
No RAVS: 220/265
(83%)
No RAVS: 184/265
(69%)
No RAVS: 211/265
(80%)
No RAVS: 172/265
(65%)
EBR RAVS EBR RAVSNS5A Class RAVS NS5A Class RAVS
4445
219220
8081
183184
5354
210211
9293
171172
17% 31% 20%35%
PREV
ALEN
CE
†NGS 1% ST supplemented by Population Sequencing when NGS not availableEBR RAV List = For GT1b: P32L, P58D or A92K or any variant at NS5A position 28, 30, 31 or 93NS5A Class RAV List = Any variant from reference strain at NS5A position 24, 28, 30, 31, 32, 38, 58, 92 or 93 Jacobson et al., AASLD 2015
Grazoprevir + Elbasvir for 12 wks in non-responderGT-1a patients: Impact of NS5A RAVs on SVR rates
97% 96% 97% 96%
29%64% 44%
76%
0%
20%
40%
60%
80%
100%
EBR RAVs NS5A class RAVs EBR RAVs NS5A class RAVs
Population sequencing Next generation sequencing
SVR1
2
Patients without RAVs Patients with RAVs
Population Sequencing Deep Sequencing at 1% Sens. Threshold†
No RAVS: 61/68(90%)
No RAVS: 54/68(79%)
No RAVS: 59/68(87%)
No RAVS: 47/68(69%)
EBR RAVS EBR RAVSNS5A Class RAVS NS5A Class RAVS
27
5961
914
5254
49
5759
1621
4547
10% 21% 13%31%
PREV
ALEN
CE
†NGS 1% ST supplemented by Population Sequencing when NGS not available. ‡ One GT1a was missing baseline population sequencing data but had baseline NGS dataEBR RAV List = For GT1a: M/L28T/A/G, Q/R30E/H/R/G/K/L/D, L31M/V/F, H58D, or Y93C/H/N/S NS5A Class RAV List = Any variant from reference strain at NS5A position 24, 28, 30, 31, 32, 38, 58, 92 or 93 Jacobson et al., AASLD 2015
100% 100% 100% 100%100% 100% 100% 100%
0%
20%
40%
60%
80%
100%
EBR RAVs NS5A class RAVs EBR RAVs NS5A class RAVs
Population sequencing Next generation sequencing
SVR1
2
Patients without RAVs Patients with RAVs
Population Sequencing Deep Sequencing at 1% Sens. Threshold†
No RAVS: 51/52(98%)
No RAVS: 44/52(85%)
No RAVS: 48/52(92%)
No RAVS: 38/52(73%)
EBR RAVS EBR RAVSNS5A Class RAVS NS5A Class RAVS
11
5151
88
4444
44
4848
1414
3838
2%15% 8% 27%
PREV
ALEN
CE
†NGS 1% ST supplemented by Population Sequencing when NGS not available. ‡ One GT1a was missing baseline population sequencing data but had baseline NGS dataEBR RAV List = For GT1a: M/L28T/A/G, Q/R30E/H/R/G/K/L/D, L31M/V/F, H58D, or Y93C/H/N/S NS5A Class RAV List = Any variant from reference strain at NS5A position 24, 28, 30, 31, 32, 38, 58, 92 or 93
Grazoprevir + Elbasvir + RBV for 16/18 wks in NR GT-1a patients: Impact of NS5A RAVs on SVR rates
Jacobson et al., AASLD 2015
How to define a RAV best clinically?
• RAVs (single and combination) per specific drug• Genotypic backbone in vitro and in vivo• Level of reduced susceptibility in vitro >100-fold• sensitivity threshold at 15-25% (population sequencing)
• Impact of RAVs on SVR rates in defined patientpopulation and a defined regimen (DAA combination, treatment duration)
• and there is even more complexity ........
Y93H and IL28B CC prevalence by region
Prev
alen
ce o
f IL2
8B C
C (%
)
22 22
30
54
0
20
40
60
NorthAmerica
Europe Oceania Asia Pacific
7133262
203929
109360
324597
4 8 6
17
0
20
40
60
NorthAmerica
Europe Oceania Asia Pacific
Prev
alen
ce o
f Y93
H (%
)
1443262
73929
21360
104597
GT1a/b
Zeuzem et al., AASLD 2015
26/2538
Association of Y93H and IL28B genotype
Zeuzem et al., AASLD 2015
Y93H
Pre
vale
nce
(%)
13
5
25
51
12
0
5
10
15
20
25
30
GT 1 GT 1a GT 1b
CC Non CC
179/3800 36/774 142/574178/1348 153/1262
p <0.0001 p <0.0001p <0.0001
♦ 5,148 GT1 patients in Gilead HCV clinical trials with both NS5A sequencing and IL28B genotype data
SVR12 rates by Y93H or any NS5A RAV and IL28B genotype
9789
100 9798 93100 98
0
20
40
60
80
100
IL28B CC IL28B non-CC
With Y93H No Y93H With RAVs No RAVs
SVR1
2 (%
)
Studies included for analysis: GS-US-337-0118 (LONESTAR 1), GS-US-GS-US-334-1274 (Bleeding Disorder), GS-US-337-0102 (ION-1), GS-US-337-0108 (ION-3), GS-US-337-0113 (Japan 1), GS-US-337-0115 (ION-4), GS-US-337-0122 (Electron 2), GS-US-337-0131(China), GS-US-337-1406, GS-US-337-1468 (LEPTON), GS-US-337-0109 (ION-2), GS-US-337-0124 (SOLAR-2), GS-US-334-1274 (Bleeding Disorder), GS-US-337-1406
7476
429431
5461
11641196
153156
259280
350351
959977
♦ SVR12 data pooled from all guideline recommended LDV/SOF regimens
Zeuzem et al., AASLD 2015
SVR12 Rates by Treatment Regimen and Y93H/IL28B: Patients without Cirrhosis
30
100 10094
100 100 100100 100
79
97 98 97
0
20
40
60
80
100
LDV/SOF 8 Weeks LDV/SOF 12 Weeks LDV/SOF 12 Weeks
SVR1
2 (%
)
TN < 6M TN TE
33
3131
11
102105
5151
468479
2323
239239
1516
1114
8585
266273
With Y93H No Y93HIL28B CC
IL28B non-CC
Studies included for analysis: GS-US-337-0118 (LONESTAR 1), GS-US-GS-US-334-1274 (Bleeding Disorder), GS-US-337-0102 (ION-1), GS-US-337-0108 (ION-3), GS-US-337-0113 (Japan 1), GS-US-337-0115 (ION-4), GS-US-337-0122 (Electron 2), GS-US-337-0131(China), GS-US-337-1406, GS-US-337-1468 (LEPTON), GS-US-337-0109 (ION-2), GS-US-337-0124 (SOLAR-2), GS-US-334-1274 (Bleeding Disorder), GS-US-337-1406
It is useful to detect RAVs ?• There is no “YES” or “No” answer• First and most important: Methodology for detection of RAVs must standardized
(and automated)• Pharmaceutical industry must fully publish available RAV data in collaboration
with academia• Usefulness of RAV testing will be patient population and treatment regimen
dependent• RAV testing most likely not required in patient populations with SVR rates > 99%• RAV testing most likely be clinical useful and cost-effective in population with
suboptimal SVR rates (definition < 95% / < 90% ?) & if population large enough– Regimens w/o a very high barrier to resistance drug– Treatment-experienced patients (in particular when exposed to DAAs)– Patients with cirrhosis– When the shortest possible treatment duration is economically important
• IL28B CC genotype is significantly associated with a higher prevalence of Y93H. This association is functionally not yet understood
• The relevance of (in particular NS5A) RAVs, baseline HCV RNA levels, and IL28B genotype on treatment outcome requires further intensive clinical research
Treatment decisions in patients with RAVs
• Switch drug class(exception: nucleosidic polymerase inhibitors)
• Treat longer (up to 24 weeks)• Add ribavirin• Use triple therapies (NI + PI + NS5A-Inhibitor)• Second generation PIs and NS5A-Inhibitors
(e.g. Glecaprevir, Pibrentasvir)• Peginterferon (??)