Summary
A crucial milestone in tumor progression is the transformation from a benign adenoma to a malignant cancer, which has profound impact on clinical outcome and therapy design. Despite its importance, it is poorly understood why it manifests itself as a bottleneck that can restrain precancerous adenomas for years. While recent sequencing efforts inform ‘static’ insights into the status of cancer genomes, these are incomplete to infer how they evolved, assess functional consequence of mutations, nor how much malignancy is environmentally instructed.
Practical limitations hamper scientific advancement into the dynamic nature of tumor evolution. Foremost, studying human tumor evolution is challenging as sequential sampling is not feasible, and pre-malignant events that may hold the clue for understanding transformation often occur years before cancer diagnosis. Moreover, experimental models that reflect malignant transformation, let alone of human origin, are lacking.
TRANSFORMATION aims to resolve how human cancer genomes evolve towards malignancy, and its role in triggering malignancy.
To gain new insights on this matter, TRANSFORMATION takes a unique approach to produce experimental insights into evolutionary parameters that are inherently dynamic in nature and cannot be obtained from tumor sequencing alone. Using paired biopsies from early-stage colon cancers, I generated unique organoid models from pre- and post-transformation regions. Together with in situ analysis of matched tumors, TRANSFORMATION will reveal the elusive rate and order by which mutations and copy-number alterations are acquired, the patterns by which cancer karyotypes evolve, dissecting functional from non-functional genetic heterogeneity on tumor phenotypes and investigate possible selection pressures imposed by environmental conditions.
TRANSFORMATION will solve how colon tumors evolve pre-malignancy, which properties promote malignancy and why transformation is an evolutionary bottleneck.
Practical limitations hamper scientific advancement into the dynamic nature of tumor evolution. Foremost, studying human tumor evolution is challenging as sequential sampling is not feasible, and pre-malignant events that may hold the clue for understanding transformation often occur years before cancer diagnosis. Moreover, experimental models that reflect malignant transformation, let alone of human origin, are lacking.
TRANSFORMATION aims to resolve how human cancer genomes evolve towards malignancy, and its role in triggering malignancy.
To gain new insights on this matter, TRANSFORMATION takes a unique approach to produce experimental insights into evolutionary parameters that are inherently dynamic in nature and cannot be obtained from tumor sequencing alone. Using paired biopsies from early-stage colon cancers, I generated unique organoid models from pre- and post-transformation regions. Together with in situ analysis of matched tumors, TRANSFORMATION will reveal the elusive rate and order by which mutations and copy-number alterations are acquired, the patterns by which cancer karyotypes evolve, dissecting functional from non-functional genetic heterogeneity on tumor phenotypes and investigate possible selection pressures imposed by environmental conditions.
TRANSFORMATION will solve how colon tumors evolve pre-malignancy, which properties promote malignancy and why transformation is an evolutionary bottleneck.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101125393 |
| Start date: | 01-05-2024 |
| End date: | 30-04-2029 |
| Total budget - Public funding: | 1 998 750,00 Euro - 1 998 750,00 Euro |
Cordis data
Original description
A crucial milestone in tumor progression is the transformation from a benign adenoma to a malignant cancer, which has profound impact on clinical outcome and therapy design. Despite its importance, it is poorly understood why it manifests itself as a bottleneck that can restrain precancerous adenomas for years. While recent sequencing efforts inform ‘static’ insights into the status of cancer genomes, these are incomplete to infer how they evolved, assess functional consequence of mutations, nor how much malignancy is environmentally instructed.Practical limitations hamper scientific advancement into the dynamic nature of tumor evolution. Foremost, studying human tumor evolution is challenging as sequential sampling is not feasible, and pre-malignant events that may hold the clue for understanding transformation often occur years before cancer diagnosis. Moreover, experimental models that reflect malignant transformation, let alone of human origin, are lacking.
TRANSFORMATION aims to resolve how human cancer genomes evolve towards malignancy, and its role in triggering malignancy.
To gain new insights on this matter, TRANSFORMATION takes a unique approach to produce experimental insights into evolutionary parameters that are inherently dynamic in nature and cannot be obtained from tumor sequencing alone. Using paired biopsies from early-stage colon cancers, I generated unique organoid models from pre- and post-transformation regions. Together with in situ analysis of matched tumors, TRANSFORMATION will reveal the elusive rate and order by which mutations and copy-number alterations are acquired, the patterns by which cancer karyotypes evolve, dissecting functional from non-functional genetic heterogeneity on tumor phenotypes and investigate possible selection pressures imposed by environmental conditions.
TRANSFORMATION will solve how colon tumors evolve pre-malignancy, which properties promote malignancy and why transformation is an evolutionary bottleneck.
Status
SIGNEDCall topic
ERC-2023-COGUpdate Date
25-11-2024
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