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ERC

CancerHetero Report Summary

Project ID: 647055
Funded under: H2020-EU.1.1.

Periodic Reporting for period 1 - CancerHetero (Dissection of tumor heterogeneity in vivo)

Reporting period: 2015-06-01 to 2016-11-30

Summary of the context and overall objectives of the project

It is now widely accepted that tumors are composed of heterogeneous population of cells, which contribute to many aspects of treatment resistance observed in clinic. Despite the acknowledgment of the tumor cell heterogeneity, little evidence was shown about complexity and dynamics of this heterogeneity in vivo, mainly because of lacking flexible genetic tools which allow sophisticated analysis in primary tumors. We recently developed a very efficient mouse somatic brain tumor model which have a full penetrance of high grade glioma development. Combination of this model with several transgenic mouse lines allow us to isolate and track different population of cells in primary tumors, most importantly, we also confirmed that this can be done on single cell level. Here I propose to use this set of valuable genetic tools to dissect the cellular heterogeneity in mouse gliomas. First we will perform several single cell lineage tracing experiment to demonstrate the contribution of brain tumor stem cell, tumor progenitors as well as the relatively differentiated cells, which will provide a complete data sets of clonal dynamics of different tumor cell types. Second we will further perform this tracing experiment with the presence of conventional chemotherapy. Third we will perform single cell RNA sequencing experiment to capture the molecular signature, which determines the cellular heterogeneity, discovered by single cell tracing. This result will be further validated by analysis of this molecular signatures in human primary tumors. We will also use our established in vivo target validation approach to manipulate the candidate molecular regulators to establish the functional correlation between molecular signature and phenotypic heterogeneity. This project will greatly improve our understanding of tumor heterogeneity, and possibly provide novel approaches and strategies of targeting human glioblastomas.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

It is the first report since the start of the project. The goal of the project is to analyse cellular heterogeneity of primary glioblastoma. Since the beginning of the project, we have made the following progresses which are within the planed time line.
1) Single cell tracing of brain tumor stem cells: To visualize the in vivo contribution of the quiescent Tlx-GFP positive cells in mouse high grade gliomas, we will make use of our established Nestin-TVA;Tlx-GFP;Tlx-CreERT2;Confetti animal model. Tumors will be induced by injection RCAS vectors expressing PDGFB+AKT+Luciferase to the mice brain carry the following genetic modification: Nestin-TVA;Tlx-GFP;Tlx-CreERT2;Confetti. With tracing of single Tlx positive cells and their progenies, we found these cells are long-term clonal forming cells in vivo. We also collected strong evidence of exsitance of two distinct Tlx positive cells in vivo. Further analysis will be completed with more animals and more time points
2) Sing cell lineage tracing of fast-dividing tumor cells: We demonstrate that only around 5% the proliferating tumor cells express Tlx-GFP, to determine the contribution of the proliferating population in vivo, we will perform single cell tracing experiment in the proliferating population. It is known that retrovirus infects only the proliferating population, which makes it a very valuable tool to deliver fluorescent proteins to the proliferating tumor cells in tumor bearing Nestin-TVA;Tlx-GFP mice. By injecting retroviral-GFP construct to tumor bearing mice, we confirmed that the infected cells are actively dividing cells and they are Tlx-GFP-negative. Initial observations show that these cell loose proliferation capacity during tumor progression. A quantitative description of these cells will be completed in the next months.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

The quantitative analysis of clonal growth of brain tumors in vivo was never performed before, these results collected by the current progress may form the basis of quantitative analysis of tumor growth, which will provide new insights into treatment of the glioblastoma.
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