Opendata, web and dolomites

DiSect SIGNED

The Tumour Stroma as a Driver of Clonal Selection

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 DiSect project word cloud

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

directionality    differ    driver    labelling    interactions    phosphoproteomics    regulates    signal    accompanied    cancer    kinases    resistance    genetic    appreciate    elicit    pda    shown    recruit    stroma    drive    1r    receptor    tumours    combine    incompletely    cultures    global    aberrations    discern    actively    smad4    interaction    pancreatic    oncogenic    heterocellular    tp53    co    vitro    adenocarcinomas    treatment    ductal    characterised    proteomics    undertaken    stromal    additional    signals    context    expressing    host    interact    cdkn2a    tumour    display    gradual    opt    signalling    infiltrating    suppressors    immune    frequent    kras    engage    homogeneous    cell    desmoplasia    axl    tyrosine    simultaneously    stages    tumorigenic    delineating    therapies    krasg12d    igf    previously    extensive    computational    specificity    combination    cells    pro    surveillance    evasion    critical    accumulation    mutations    clonal    activated    restrictive    autonomous    activate    reciprocal    progression    loops    fibroblasts    expressed   

Project "DiSect" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF MANCHESTER 

Organization address
address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL
website: www.manchester.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 1˙969˙768 €
 EC max contribution 1˙969˙768 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2023-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF MANCHESTER UK (MANCHESTER) coordinator 1˙969˙768.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

Pancreatic ductal adenocarcinomas (PDA) are complex heterocellular tumours characterised by extensive desmoplasia. Tumour and stromal host cells actively engage to establish reciprocal signalling loops, which drive cancer progression, resistance to treatment and evasion of immune surveillance. However, the specificity and directionality of these interactions are incompletely characterised. We have previously shown that tumour cells expressing the main oncogenic driver (KRASG12D) co-opt stromal fibroblasts to elicit a reciprocal signal, which activate tumour cell IGF-1R and AXL receptor tyrosine kinases. Importantly, these signals enable tumour cells to engage additional signalling pathways not activated when oncogenic KRAS is expressed in homogeneous tumour cell cultures. Therefore, to fully appreciate tumour cell signalling, studies should be undertaken within the context of the tumour stroma. Early stages of PDA display a gradual accumulation of mutations where activated KRAS is accompanied by loss of tumour suppressors CDKN2A, TP53 and SMAD4. Simultaneously, there is an accumulation of infiltrating stromal cells. To address how PDA cells differ in their interaction with the infiltrating stroma, we will use in vitro co-cultures to study how PDA cells with frequent genetic aberrations recruit and interact with host stromal cells. We will combine our unique methodologies for cell-specific labelling with global proteomics and phosphoproteomics analysis to discern cell-specific signalling between tumour and stroma cells. Following, we will analyse the impact of the tumour stroma on clonal selection and use computational modelling to identify which cell autonomous and non-cell autonomous signals drive progression. Delineating how reciprocal signalling regulates early tumour cell signalling and clonal selection is critical to define pro-tumorigenic from restrictive stromal elements in order to improve combination therapies.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DISECT" 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 "DISECT" are provided by the European Opendata Portal: CORDIS opendata.

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

inSight (2019)

Moving a novel gene therapy paradigm to treat blindness to the market

Read More  

Diverge (2019)

Generation of ultra-deep libraries of transcriptional activators for gene therapy

Read More  

HyperCube (2020)

HyperCube: Gram scale production of ferrite nanocubes and thermo-responsive polymer coated nanocubes for medical applications and further exploitation in other hyperthermia fields

Read More