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RCC_Evo SIGNED

Modelling the Predictability and Repeatability of Tumour Evolution in Clear Cell Renal Cell Cancer

Total Cost €

0

EC-Contrib. €

0

Partnership

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 RCC_Evo project word cloud

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

prediction    progression    characterised    preliminary    pdos    cells    intratumoural    setd2    mutated    immune    sequence    inhibition    hptc    leucocytes    evolutionary    biopsy    profiling    pdo    kidney    incidence    xenografts    targetable    human    frequently    patient    proximal    repeatability    resolution    clonal    suggests    trajectories    panel    refine    renal    micro    unknown    fibroblasts    3p    checkpoint    mechanisms    bap1    cancers    rising    organoids    sequencing    genotypes    cancer    cell    function    infiltrating    weaknesses    metastatic    passaging    subsequent    genotype    pbrm1    edited    repeated    interim    tumours    clinical    tumour    tme    gene    models    experimental    personalized    followed    genes    involvement    diagnosed    identification    previously    predictability    center    cohort    primary    events    suppressor    pdx    subtype    longitudinal    subtypes    co    tubule    chromosome    evolution    region    manipulation    heterogeneity    hptcs    harbours    tracerx    ccrcc    deleted    driver    culture    model    mutational    clear    vhl    course   

Project "RCC_Evo" 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 224˙933 €
 EC max contribution 224˙933 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE FRANCIS CRICK INSTITUTE LIMITED UK (LONDON) coordinator 224˙933.00

Map

 Project objective

Kidney cancer is among the 10 most frequently diagnosed cancers and its incidence is rising. Clear cell Renal Cell Cancer (ccRCC) is the most common subtype and is characterized by early 3p loss. The deleted region on chromosome 3p harbours a number of tumour suppressor genes namely VHL, PBRM1, SETD2 and BAP1, which are frequently mutated subsequent to 3p loss. TRACERx Renal is a multi-center, longitudinal cohort study, which studies tumour evolution and intratumoural heterogeneity through multi-region profiling of primary tumours. Interim findings have defined 7 evolutionary subtypes. I will model the predictability and repeatability of these evolutionary trajectories in patient-derived tumour organoids (PDO), in patient-derived xenografts (PDX), and in gene-edited human proximal tubule cells (HPTC). Preliminary evidence suggests that ccRCC genotypes are associated with specific TME conditions. I will develop PDO models in which I will co-culture tumour cells with tumour infiltrating leucocytes and cancer associated fibroblasts. I will refine the mutational ordering and clonal resolution in selected cases of the TRACERx Renal Study by micro-biopsy profiling. Predictability of evolutionary trajectories will then be addressed through repeated passaging of tumour PDOs followed by targeted panel sequencing. The function of metastatic driver events will be characterised in PDX. The repeatability of the evolutionary trajectories will be studied through experimental manipulation of the genotype sequence in HPTCs. Co-culture PDOs will be used to define response to immune checkpoint inhibition. The results will allow a personalized prediction of the clinical course of ccRCC and the response to immune checkpoint inhibition. I will identify mechanisms of tumour progression and the involvement of the TME. This will result in the identification of previously unknown targetable weaknesses in ccRCC.

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

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