Genomic signatures of risk of TB disease Tom Scriba, University of Cape Town

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Genomic signatures of risk of TB disease Tom Scriba, University of Cape Town 2nd Expert Workshop on the development of tests for progression of LTBI to active disease 1 July 2016

Possible consequences of M. tuberculosis infection IGRA+ or TST+ Cleared infection Quiescent infection Subclinical infection Clinical TB Disease Identify all those who will progress to active TB disease? Differentiate those at high risk from those who remain well? Intervene to prevent TB disease before transmission? Adapted from Barry 3 rd et al,. Nat Rev Micro 2009

High TB Burden Setting IGRA+ individuals at higher risk of progression to disease IGRA+ IGRA- 50-80% of adults in TB endemic countries are TST/IGRA+ 90% of latently infected people* will never develop TB disease *HIV uninfected adults 3

TB cases High TB Burden Setting Preventive therapy for IGRA+ would treat most people unnecessarily IGRA+ IGRA- Shift focus from treatment of latency to preventive therapy for those at highest risk of progression to TB disease 4

6,363 adolescents enrolled Mahomed et al., IJTLD 2011; Mahomed et al., Tuberculosis 2013; Mahomed et al., Plos One 2013 Developing a transcriptomic correlate of risk Adolescent Cohort Study (ACS) Paxgene PBMC Plasma 2 yrs No TB disease: controls* TB disease: progressors*

ACS COR design: case/control M. tb infection Enrollment QFT and/or TST positive No TB for first 6 months after enrollment HIV-negative Follow up 2 years Controls (n = 90) 1. Training (n=74) 2. Validation (n = 16) Progressors (n = 44) 1.Training (n=36) 2.Validation (n = 8) Zak et al., Lancet 2016

Emergence of an IFN response signature during disease progression Zak et al., Lancet 2016

Emergence of an IFN response signature during disease progression Zak et al., Lancet 2016

Emergence of an IFN response signature during disease progression Zak et al., Lancet 2016

Emergence of an IFN response signature during disease progression Zak et al., Lancet 2016

Emergence of an IFN response signature during disease progression Log2FC (progressors vs controls) Time before diagnosis (days) Inflammation module

Emergence of an IFN response signature during disease progression Log2FC (progressors vs controls) Time before diagnosis (days) Interferon module Inflammation module

Emergence of an IFN response signature during disease progression Log2FC (progressors vs controls) Time before diagnosis (days) CoR genes Interferon module Inflammation module

Transcriptomic COR Ensemble of transcript pairs 16 genes 62 PCR primers 257 primer pairs Genes ETV7 FCGR1A FCGR1B GBP1 GBP2 GBP5 SCARF1 SERPING1 STAT1 TAP1 APOL1 ANKRD22 BATF2 GBP4 SEPT4 TRAFD1

COR Prognostic Performance COR discriminates TB cases from controls up to 18 months before diagnosis SA HIV-uninfected adults 70% Sensitivity and 84% Specificity for incident TB disease within 1 year of sampling (at 60% vote threshold) 15

A prognostic PCR test for incident TB 93 samples per chip Control COR- progressor COR+ Result in 2 days

Positive predictive value (PPV) of COR for South African adult population 30% 20% Optimum Optimum TPP - PPV: ~16% 10% COR COR signature - PPV: ~7% 5% Minimu m Minimum TPP - PPV: ~6% TST 3% IGRA TST / IGRA - PPV: ~2% / ~3% 1% Cumulative 2 year incidence: 2% Effectiveness of IPT: 50% Denkinger, Goletti et al., 17

Number to treat (NNT) of COR for South African adult population 10 20 30 40 50 75 100 COR Minimu m Optimum Optimum TPP - NNT: ~13 COR signature - NNT: ~37 Minimum TPP - NNT: ~40 150 250 TST / IGRA - NNT: ~250 / ~85 TST IGRA Cumulative 2 year incidence: 2% Effectiveness of IPT: 50% Denkinger, Goletti et al., 18

The next steps: Correlate of Risk Targeted Intervention Study (CORTIS) A Randomized, Partially-blinded, Clinical Trial of Isoniazid and Rifapentine (3HP) Therapy to Prevent Pulmonary Tuberculosis in High-risk Individuals Identified by a Transcriptomic Correlate of Risk Screen approximately 10,000 HIV uninfected adults for transcriptomic COR Enrol 3,200 COR+ and COR- Randomize to COR+ Treated; COR+ Surveillance; COR- Surveillance Screen for prevalent TB disease at baseline Follow-up for incident TB disease x 15 months 19

The Correlate of Risk Targeted Intervention Study (CORTIS) ClinicalTrials.gov NCT02735590 20

The landscape of TB preventive therapy is fundamentally changing: 3HP A 12-dose, once-weekly, 3-month preventive therapy DOT regimen 21

Correlate of Risk Collaborators Mark Hatherill Adam Penn-Nicholson Willem Hanekom Sara Suliman Mbandi Kimbung Katrina Downing Fatoumatta Darboe SATVI Team Dan Zak Ethan Thompson Lynn Amon Gerhard Walzl Andre Loxton Jayne Sutherland Alan Aderem GC6 Team Gavin Churchyard Kogie Naidoo Richard White Tom Sumner Andrew Gartland 22