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HIV co-receptor tropism in treatment-naïve patients: impact on CD4 decline and subsequent response to HAART Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle. St Stephen’s Centre, Chelsea & Westminster Hospital, London, UK

Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

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HIV co-receptor tropism in treatment-naïve patients: impact on CD4 decline and subsequent response to HAART. Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle. St Stephen’s Centre , Chelsea & Westminster Hospital, London, UK. CCR5. I. Y. S. - PowerPoint PPT Presentation

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Page 1: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

HIV co-receptor tropism in treatment-naïve patients: impact on CD4 decline and subsequent

response to HAART

Laura Waters, Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard &

Graeme Moyle.

St Stephen’s Centre, Chelsea & Westminster Hospital,

London, UK

Page 2: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

R5 viruses (M-tropic, NSI)Transmitted variantsPrevalent in early disease

X4 viruses (T-tropic, SI)Late disease; associated with CD4 decline, HIV RNA increase and clinical progression

Dual-tropic viruses use CCR5 or CXCR4 (in vitro)

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CCR5- & CXCR4-tropic HIV

Page 3: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Prevalence of Co-receptor UsageStudy/Source Population R5 X4 X4/R5

Maraviroc Phase 2a Naive 94 0 6

Homer cohortb

(n=979)Naive 83 <1 17

C & W cohortc

(n=563)Naïve/

Experienced85 <1 15

GSKd

(n=299)Naive 88 0 12

TORO 1/2e Experienced 62 4 34

ViroLogicf Experienced 50 2 48

a Data on file d Demarest et al. ICAAC 2004. Abstract H-1136b Brumme ZL et al. JID 2005;192(3):466-74. e Whitcomb et al. CROI 2003. Abstract 557c Moyle GJ et al. JID 2005;191(6):866-72 f Huang et al. ICAAC 2002. Abstract 2040

Page 4: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Prevalence and Predictive Factors for R5 and X4 Coreceptor Usage

0

20

40

60

80

100

Prev

alen

ce (%

)Pr

eval

ence

(%)

CD4 (cells/mmCD4 (cells/mm33))

84.3%84.3%

59.3%59.3%

<<100 101-300 >300100 101-300 >300 (n=81) (n=185) (n=248)(n=81) (n=185) (n=248)

83.5%83.5%

R5 PrevalenceR5 Prevalence 563 HIV patients– 85% male– 66% Caucasian– Mean age: 44 years– Clade B: 76%– R5 tropic: 85%– R5/X4 dual tropic: 15%

Moyle GJ, et al. JID 2005

MeanR5

TropicR5/ X4 Tropic

CD4 (cells/mm3)

307* 231

HIV RNA (copies/mL)

35,800† 66,228

**PP=0.007; =0.007; ††PP<0.001.<0.001.

Page 5: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Prevalence of R5 Use by BaselineCD4 and HIV RNA Levels

71

92 89

60

85 84

67

80 81

58

8278

Prev

alen

ce o

f R5

Use

(%)

Prev

alen

ce o

f R5

Use

(%)

100100

8080

6060

4040

2020

00 <<100 101-300 >300100 101-300 >300Baseline CD4Baseline CD4

(cells/mm(cells/mm33))

>100K>100KBaseline HIV RNABaseline HIV RNA

(copies/mL)(copies/mL)

>5-50K>5-50K >50-100K>50-100K

<5K<5K

n=563.n=563.

Moyle GJ, et al. JID 2005

Page 6: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Clinical Progression & Response to HAART

• Swiss HIV Cohort• 96 progressors vs. 84 matched non-progressors

R5 at baseline(n=84)

X4/R5 at baseline(n=84)

Significance

CD4 rise at 6 months

82 40 p = 0.012

HIV RNA < 500 at 6 months

57 (68%) 27 (32%) p = 0.33

Hazard ratio for clinical progression

1.00 4.00 95% CI 1.83 – 8.72

Phillpott et al. IAS 2006. Abstract THAA0201

Page 7: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Determination of R5/X4 Tropism

Two potential roles for tropism testing:

• Guiding therapy decisions

• Predicting disease progression

Page 8: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Aim

To study the impact of R5/X4 tropism as determined by the ViroLogic Phenosense Assay on:

• The rate of CD4 decline prior to commencing therapy

• Response to therapy:- CD4 rise- Time to HIV RNA < 50 c/mL- Proportion with HIV RNA < 50 c/mL

Page 9: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

MethodsStudy Design

• Subjects from epidemiology study:

R5 tropic vs. X4/mixed/dual tropic

• Prospective cohort database used to record:

- Sequential CD4 counts from tropism test to HAART initiation (censored if < 3 months)

- Sequential CD4 counts and HIV RNA after HAART

- HAART regimen prescribed

Page 10: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Methods Response to HAART

• HAART defined as: - ≥ 2NRTI + NNRTI- ≥ 2NRTI + PI (unboosted)- ≥ 2NRTI + PI/r (boosted)

• Exclusions: - Non-HAART regimens- < 6 months follow-up

• Data censored at: - 96 weeks- End of follow-up- Therapy switch for virological failure

Page 11: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

MethodsStatistics

• CD4 decline: DAVG using MIXED model adjusted for baseline HIV RNA

• CD4 response to HAART: univariate + multivariate linear MIXED model (adj. for baseline HIV RNA and HAART)

• Proportion with HIV RNA < 50 c/mL: 2 test

• Time to HIV RNA < 50 c/mL: survival analysis; Cox’s proportional hazards regression to adj. for baseline HIV RNA and HAART

Page 12: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Results• 402 naïve subjects tropism tested:

- 326 R5- 73 X4/R5 (mixed/dual)- 3 X4

• 340 commenced HAART by August 2006- 51 excluded from analysis* - 229 R5- 60 X4/mixed/dual

• 62 remained off therapy

*< 6/12 follow-up (n=28); non-HAART (n=23)

Page 13: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Baseline DemographicsR5-tropic(n=326)

X4/R5(n=76)

p-value

Male 288 (88.3%) 72 (94.7%) 0.101

WhiteBlackOther

236 (72.4%) 44 (13.5%)46 (14.1%)

50 (65.8%)9 (11.8%) 17 (22.4%)

0.203

CD4 (IQR) 325 (207-458) 203 (58-375) <0.001

HIV RNA (IQR) 39385 (13358-120818) 142568 (47186-275726) <0.001

Mutations NRTI NNRTI PI

---

---

0.8260.893 0.550

Clade BClade Other Untested

252 (77.3%)57 (17.5%)17 (5.2%)

64 (84.2%)11 (14.5%)

1 (1.3%)0.242

Page 14: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

-600

-500

-400

-300

-200

-100

0

100

200

300

400

3 6 9 12 15 18 21 24

Duration since sample result (months)

CD

4 co

unt f

rom

tim

e w

hen

sam

ple

take

n

Naïve : R5 Naïve : X4/R5

DAVG analysis (time weighted differences in average.Censored at HAART; Error bars are 95% CI

p = 0.562

p = 0.026

R5 n= 187 119 127 100 107 76 74 72 93 X4 n= 23 18 13 9 11 6 5 2 2

CD4 decline before HAART

Page 15: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

R5 n= 229 197 190 188 194 172 161 151 182 X4 n= 60 51 26 50 56 44 47 50 50

CD4 rise on HAART

-600

-500

-400

-300

-200

-100

0

100

200

300

400

0 3 6 9 12 15 18 21 24

Duration since sample result (months)

CD

4 co

unt f

rom

tim

e w

hen

sam

ple

take

n

Naïve: R5 Naïve: X4/R5

Time weighted differences in averages (DAVG) from baseline estimated using linear MIXED model

Page 16: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

CD4 rise on HAART

R5 X4/R5 p-value

12 monthsmean (95% CI)

185(166-204)

182(145-219)

0.812

24 months mean (95% CI)

247(227-267)

292(254-330)

0.482

Page 17: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Rates of Viral Suppression289 subjects (229 R5, 60 X4/R5) started HAART

R5 tropic(n=229)

X4/R5 tropic(n=60)

p-value

N (%) with HIV RNA< 50 at 6 months

163(71.2%)

45(75.0%)

0.637

N (%) with HIV RNA< 50 at 12 months

168(73.4%)

47(78.3%)

0.509

N (%) with HIV RNA< 50 at 24 months

166(72.5%)

41(68.3%)

0.670

Page 18: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Time to Viral Suppression

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 6 9 15 18 21

Duration since sample result (months)

Pro

porti

on a

chie

ving

VL<

50 c

opie

s/m

l

R5 X4/R5

R5 n= 229 197 190 188 194 172 161 151 X4 n= 60 51 26 50 56 44 47 50

3 12

Survival analysis; Cox’s proportional hazards regression to adjust for baseline HIV RNA and HAART

Page 19: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Conclusions

• Subjects with X4 HIV-1 experience more rapid CD4 decline than those with R5 patients (adjusted for baseline viral load)

• Similar proportions achieve viral suppression at 1 year and 2 years

• CD4 rise similar over 96 weeks of HAART

• Time to viral suppression same for R5 and X4 virus when adjusted for baseline viral load

Page 20: Laura Waters , Sundhiya Mandalia, Adrian Wildfire, Paul Randell, Brian Gazzard & Graeme Moyle

Acknowledgements

• Dr Marta Boffito• All the St Stephen’s Centre patients• Pfizer for funding of tropism testing• Monogram Biosciences