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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.

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

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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