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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.

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

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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