EuResist Network Present and future Francesca I ncardona I I I - - PowerPoint PPT Presentation

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EuResist Network Present and future Francesca I ncardona I I I - - PowerPoint PPT Presentation

EuResist Network Present and future Francesca I ncardona I I I EuResist I nternational meeting Bonn 4 May 2012 The EuResist EU project: 2006-2008 Topics and results Integration of viral genomics with clinical data to predict response to anti


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EuResist Network

Present and future

Francesca I ncardona

I I I EuResist I nternational meeting Bonn 4 May 2012

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III EuResist International meeting Bonn 4 may 2012

The EuResist EU project: 2006-2008 Topics and results

Integration of viral genomics with clinical data to predict response to anti HIV treatment  The EuResist Integrated DataBase

(EIDB): the largest existing database of Genotype-response information: more than 33.000 patients

 The EuResist Prediction

engine: accuracy of 76% Favourable comparison with state of the art prediction systems and… with humans: the EVE study

Type of Data EuResist Patients

33.832

Therapies

98.421

CD4 Isolates

455.669

Viral Load Isolates

372.202

Sequences

30.938

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III EuResist International meeting Bonn 4 may 2012

The EuResist Network GEI E

A European no-profit grouping Founded by Informa, Karolinska Institute, Max Planck Institute, University of Cologne, University of Siena Manages project results and brings them forward Offers partnership to new parties of proved or potential scientific value All partners become members of the EuResist Network Scientific Board The EuResist Network Scientific Board evaluates the scientific adequacy of research proposals that require the access to the data stored in the EuResist Integrated Data Base (EIDB)

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Partnership with EuResist Network

Reasons for partnership include either expanding the EIDB with valuable data or contributing to data analysis in scope with the EuResist Network aims or both. Partner’s activities and data are protected by the data and authorship policies Data provided by a partner always remain the property of the partner. Data providers are included in the list of authors. The priority list of data providers to be included as authors reflects the proportion of contributed cases in the study and credits are accumulated by data providers not included (as in ARCA).

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Partners

InformaPRO Italy Karolinska inst. Sweden Max Planck Germany UniKoeln Germany UniSiena Italy Portugal Irsicaixa Spain Luxembourg KuLeuven Belgium World Friends Kenya MUHAS Tanzania NRL Rwanda Hungary

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Update of the EI DB structure

August 2011 The new schema allows to store: new HIV genes new species such as HCV and HBV New tables allow to store other information such as: infections, diagnoses, type of drugs

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The EuResist I ntegrated DataBase EI DB

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Present EI DB coverage

KENYA PORTUGAL

ITALY

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EI DB

Patients per Centrum Tot 60856

10416 8742 8374 1361 1119 1003 865 657 200 28119 5000 10000 15000 20000 25000 30000 Arca Arevir Karolinska Lisbon BI Leuven Irsicaixa Rwanda Luxemburg Tibotec

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III EuResist International meeting Bonn 4 may 2012

EI DB

Standard Datum Tot 9857

4473 1484 1419 1166 436 361 228 189 101 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 Arca Arevir Karolinska BI Luxembourg Leuven Lisbon Irsicaixa Tibotec Rwanda

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EI DB

Gender Distribution (60.829 patients)

Male 63% Female 25% Unknown 12%

Undifferentiated 0%

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EI DB

Age Distribution (55.798 patients)

36-45 31% 45< 53% 0-13 1% 14-25 2% 26-35 13%

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EI DB

Ethnic Groups Distribution (58.961 patients)

Asian 1% Caucasian 20% Unknown 72% Afro 6% Other 0% Hispanic 1%

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EI DB

Risk Factor Distribution (58.600 patients)

Ivda 12% unknown 35% blood products 1% vertical transmission 1% heterosexual 19%

homosexua bisexual 19%

  • ther

13%

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EuResist Engine usage May 2011 – Apr 2012

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EuResist Network website usage May 2011 – Apr 2012

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I ntercontinental activities

EDCTP ENNEA project Kenya, Tanzania, Ethiopia PLANTA project Central America SISGENO-EURESIST comparison Brasil Other affiliated projects DOTARV: Vietnam HIVIND: India Eastern promises: Russia (n= 3)

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Other ongoing activities

CHAIN: Collaborative HIV and anti-HIV drug resistance network - EU Research project EUCOHIV project: Collection of Maraviroc treatment cases – sponsored by ViiV Collaboration with Stanford for the realisation of a freely accessible genotype-response repository CETRA project: Collection of Etravirine treatment cases

  • sponsored by Tibotec

EuResist Engine: refinement of prediction error estimate Retraining of EuResist Engine

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Can we rise prediction accuracy?

EuResist Engine trained on 3000 TCE: AUC = 0,76 EuResist Engine trained on 5000 TCE: AUC = 0,80 RDI engine trained on 5.700 TCE: AUC= 0,82

Revell et al AIDS 2011

It seems there is a plateau in accuracy prediction What can we do? EuResist Engine will be trained on new EIDB Take into account human genomics

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Human genomics: the next step

The pattern of Human Leukocyte Antigen (HLA) alleles or supertypes is known to impact HIV disease progression Recent genome-wide association studies (GWAS) done in HIV-positive patients have identified a few single nucleotide polymorphisms (SNPs) partly explaining individual differences in the level of spontaneous control of HIV replication The inter-host network of molecular interactions variability may allow for prediction of anti-HIV therapy outcome and even for personalized treatment

Tang 2003, Singh 2008, Tang 2010, Arab-Alameddine 2011, An 2010, Rotger 2010, van Manen 2011, Fellay 2009, Fellay 2010, van Manen 2011

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Multilevel virus-host interaction modeling

Integrating the host genomics Integrating models at different levels (from molecular to clinical to population level) Integrating machine learning prediction models with biomechanistic description models Collaboration started with DTU, Stanford University, Florida University

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Objectives for the future

To be able to provide treatment support in all countries with relevant HIV infected population To upgrade the prediction system with possibility to predict without genotype (Prosperi et al. PLoSone

2010)

To upgrade the prediction system taking into account patient’s immune system To make a HCV EuResist

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I n the very near future

To strenghten the intra-Network communication for: awareness, collaboration, scientific ideas circulation:

3 tele-meetings per year: March, June November

To better exploit the EIDB:

A person for querying it systematically and propose new studies You are all invited to propose studies on the EIDB!

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Thank you

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http:/ / w w w .euresist.org http:/ / engine.euresist.org Contact: f.incardona@inform acro.info