Opendata, web and dolomites

PROTEUS SIGNED

Predicting Routes Of Tumour Evolution driven by Unstable genomes and Selection

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 PROTEUS project word cloud

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

mutational    stratification    newly    structural    describe    highlighting    gin    treatment    surveillance    genomic    diversity    decipher    aberrant    recapitulate    majority    solid    outcome    longitudinal    cell    ith    genome    patient    nsclc    evasion    doubling    tracerx    mouse    sufficiently    micro    interactions    burden    provides    evolutionary    progress    underpinning    tumours    elevated    frequency    generate    underlying    tumour    patients    patterns    individual    cellular    survival    risk    poor    heterogeneity    fitness    unclear    sensitive    models    chromosomal    substrate    death    sequencing    macroevolutionary    lung    immuno    model    cancer    chemo    barcode    incurable    cin    histories    dynamics    gd    outcomes    evolution    numerical    small    instability    disease    life    immunotherapy    animal    immune    sequence    encompassing    drug    somatic    copy    describes    despite    multiple    dna    resistance    revealed    synthesise    therapy    recurrence    metastatic    clinical    quantifying    microenvironment   

Project "PROTEUS" data sheet

The following table provides information about the project.

Coordinator
THE FRANCIS CRICK INSTITUTE LIMITED 

Organization address
address: 1 MIDLAND ROAD
city: LONDON
postcode: NW1 1AT
website: www.crick.ac.uk

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 United Kingdom [UK]
 Total cost 2˙500˙000 €
 EC max contribution 2˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-ADG
 Funding Scheme ERC-ADG
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2024-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE FRANCIS CRICK INSTITUTE LIMITED UK (LONDON) coordinator 2˙500˙000.00

Map

 Project objective

Despite progress in cancer drug development, the majority of patients who present with advanced, metastatic, solid tumours have incurable disease due to underlying cancer genomic diversity that provides a substrate for evolution and selection of drug resistance. The aim of this proposal is to describe, synthesise and model the micro- and macroevolutionary patterns of genomic instability underpinning the evolutionary dynamics of tumour life histories, to improve patient stratification, treatment and survival outcomes. Longitudinal clinical studies such as TRACERx are highlighting the complex processes that generate this intra-tumour heterogeneity (ITH). Genome Instability (GIN) describes aberrant changes within the genome, encompassing genome doubling (GD), numerical or structural chromosomal instability (CIN), and elevated DNA sequence mutational diversity. TRACERx has revealed that elevated DNA copy-number ITH rather than DNA sequence diversity is associated with increased risk of recurrence or death in non-small cell lung cancer (NSCLC). Why macroevolutionary CIN rather than somatic mutational diversity is associated with poor outcome remains unclear. Current animal models of NSCLC do not sufficiently model the multiple distinct patterns of GIN operating in patients. We aim to develop mouse lung cancer models that recapitulate the patterns of GIN observed in NSCLC patients. Using tumour barcode sequencing, a sensitive method of quantifying cellular fitness and individual tumour growth, we will investigate the effects of targeted-, chemo- and immuno-therapy on the newly generated GIN models. We will decipher if distinct patterns of GIN increase metastatic potential and treatment failure, and test if high mutational burden or high CIN increases the frequency of GD in cancer. Finally, we aim to investigate the effects of GIN upon immune surveillance, immune evasion, immunotherapy response, and the interactions between tumours and the tumour microenvironment.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PROTEUS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

OAlipotherapy (2018)

Long-retention liposomic drug-delivery for intra-articular osteoarthritis therapy

Read More  

CHIPTRANSFORM (2018)

On-chip optical communication with transformation optics

Read More  

CellProbe (2019)

CellProbe: Microfluidic probe for simultaneous tagging and extraction of single cells

Read More