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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.

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

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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