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EPIC SIGNED

Enabling Precision Immuno-oncology in Colorectal cancer

Total Cost €

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EC-Contrib. €

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Partnership

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 EPIC project word cloud

Explore the words cloud of the EPIC project. It provides you a very rough idea of what is the project "EPIC" about.

data    action    multidimensional    million    reprogramming    organoids    immunotherapy    interrogation    edge    individual    platform    machine    learning    somehow    therapeutic    cells    survival    checkpoints    patients    sensitize    cell    technologies    precision    annually    clinical    recommendations    pillars    train    agents    profiling    immuno    therapy    throughput    tumors    vitro    models    immunological    antitumor    instability    combinations    paradigm    attractive    cancers    generation    mechanistic    minority    oncology    broaden    integrates    checkpoint    drugs    lymphocytes    crc    interference    personalized    colorectal    predictor    immunogenic    content    metabolic    immunostimulatory    predicting    paradoxical    tumor    molecular    conventional    outcome    synergistic    patient    infiltrating    exception    networks    validate    modeling    chemotherapeutics    treatment    benefits    approved    shown    rewiring    diagnosed    transforming    blockers    worldwide    cutting    refractory    resistance    independent    signaling    combining    emphasis    cancer    epic    silico    anticipated    urgent    interactions    drug    immunity    systematic    perturbation    algorithms    immunomodulatory    combination    immune    quantitative    harness    determinants    mechanisms    microsatellite    experiments   

Project "EPIC" data sheet

The following table provides information about the project.

Coordinator
MEDIZINISCHE UNIVERSITAT INNSBRUCK 

Organization address
address: CHRISTOPH PROBST PLATZ 1
city: INNSBRUCK
postcode: 6020
website: www.i-med.ac.at

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Total cost 2˙460˙500 €
 EC max contribution 2˙460˙500 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-ADG
 Funding Scheme ERC-ADG
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2023-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MEDIZINISCHE UNIVERSITAT INNSBRUCK AT (INNSBRUCK) coordinator 2˙460˙500.00

Map

 Project objective

Immunotherapy with checkpoints blockers is transforming the treatment of advanced cancers. Colorectal cancer (CRC), a cancer with 1.4 million new cases diagnosed annually worldwide, is refractory to immunotherapy (with the exception of a minority of tumors with microsatellite instability). This is somehow paradoxical as CRC is a cancer for which we have shown that it is under immunological control and that tumor infiltrating lymphocytes represent a strong independent predictor of survival. Thus, there is an urgent need to broaden the clinical benefits of immune checkpoint blockers to CRC by combining agents with synergistic mechanisms of action. An attractive approach to sensitize tumors to immunotherapy is to harness immunogenic effects induced by approved conventional or targeted agents. Here I propose a new paradigm to identify molecular determinants of resistance to immunotherapy and develop personalized in silico and in vitro models for predicting response to combination therapy in CRC. The EPIC concept is based on three pillars: 1) emphasis on antitumor T cell activity; 2) systematic interrogation of tumor-immune cell interactions using data-driven modeling and knowledge-based mechanistic modeling, and 3) generation of key quantitative data to train and validate algorithms using perturbation experiments with patient-derived tumor organoids and cutting-edge technologies for multidimensional profiling. We will investigate three immunomodulatory processes: 1) immunostimulatory effects of chemotherapeutics, 2) rewiring of signaling networks induced by targeted drugs and their interference with immunity, and 3) metabolic reprogramming of T cells to enhance antitumor immunity. The anticipated outcome of EPIC is a precision immuno-oncology platform that integrates tumor organoids with high-throughput and high-content data for testing drug combinations, and machine learning for making therapeutic recommendations for individual patients.

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The information about "EPIC" are provided by the European Opendata Portal: CORDIS opendata.

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