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Molecular characterization of the role of intra tumor heterogeneity in cancer pr...

Molecular characterization of the role of intra tumor heterogeneity in cancer progression and metastasis Cancer is caused by somatically acquired changes in the DNA. Some of these changes fall in cancer genes, conferring clonal selective advantage to the cells that carry the mutant alleles. Identifying these genes/pathways is of vit... ver más

31/10/2020

UNICAN

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

UNIVERSIDAD DE CANTABRIA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 472

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-10-31

ERC-StG-2014: ERC Starting Grant Scope:Objectives

I+D

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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2 Participantes

UNICAN

1.50M€ | Lider

Apoyo Contable y Financiero

294.63K€ | Participante

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Duración del proyecto: 66 meses Fecha Inicio: 2015-04-30
Fecha Fin: 2020-10-31

Líder del proyecto

UNIVERSIDAD DE CANTABRIA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 472

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Cancer is caused by somatically acquired changes in the DNA. Some of these changes fall in cancer genes, conferring clonal selective advantage to the cells that carry the mutant alleles. Identifying these genes/pathways is of vital importance for a correct understanding of cancer biology as well as for the diagnosis and treatment of human malignancies. In this respect, the use of genetically modified mice has been extremely useful in the past for characterizing the molecular pathways involved in cancer progression. The remarkable progress made during the last two decades on the genetic modification of mouse genomes offers unique opportunities to investigate different aspects of tumor molecular behavior, impossible to study on human samples. Recently, the advent of next-generation sequencing technologies has provided new strategies for the systematic genome-wide identification of somatic changes in cancer cell genomes. Using these technologies, we and others have characterized the high intra-tumor heterogeneity observed in some human tumors. Although the exact significance of this heterogeneity is uncertain, it seems to be responsible for key aspects in the management of cancer patients such as metastasis predisposition and tissue specificity or treatment resistance. Taking advantage of next-generation sequencing, we propose to finely characterize the intra-tumor heterogeneity evolution during the progression of tumors induced in a mouse model of pancreatic cancer, as well as, for the first time, to purify the different cell populations these primary tumors are composed of. A complete genomic and transcriptomic characterization of these populations followed by posterior functional assays will help us to identify the genes/pathways involved in tumor progression as well as metastatic potential and its tissue specificity. This new knowledge could finally contribute to a better understanding of cancer and to the design of more efficient anti-tumor therapies

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