DR-140 Landscape of cooperative interactions between germline and somatic events in cancer
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DR-140 Landscape of cooperative interactions between germline and somatic events in cancer
In this project we will investigate to what extent the cooperation of inherited polymorphisms within regulatory regions and somatic aberration …
DR-139 Personalized OncoGenomics: A comprehensive pan-cancer analysis
The Personalized OncoGenomics (POG) Program sequences cancers from patients with advanced and metastatic tumours to determine which therapies are most …
DR-138 Genomic identification and expression of oncogenic FGFR2 structural variants.
Using mouse models, we found certain variants of the fibroblast growth factor receptor 2 gene (Fgfr2) to be strong tumor …
DR-137 HEcoPerMed (Healthcare- and pharma-economics in support of the International Consortium for Personalised Medicine)
HecoPerMed seeks to improve health economic models for personalized medicine, both payment models and evaluation (HTA) models. We seek to …
DR-136 Tracking cancer evolution from emergence to metastasis
We plan to investigate the evolution of lung tumours at different stages of cancer development. The molecular data used to …
DR-134 The immunogenic potential of recurrent cancer drug resistance mutations: an in silico study
Targeted cancer therapies can be remarkably effective but a considerable number of patients develop resistance as treatment proceeds. Resistance can …
DR-133 Pan-cancer investigation of cancer evolution and tumour evolutionary trajectories
Cancer is a complex disease, characterized by a wide spectrum of genome abnormalities. We aim to describe the order and …
DR-143 Detection of microsatellite instability in metastatic colorectal cancer: the diagnostic accuracy of routine mismatch repair or microsatellite testing compared to whole genome sequencing.
The prognosis of patients with metastatic colorectal cancer is poor. Some of these patients are eligible for receiving potentially life-saving …
DR-188 Leveraging tumor evolutionary dynamics for selection inference in human cancers
Cancer is a genetic disease, caused by changes in the cellular hereditary material. When a cancer tumor is detected, a …
DR-187 Discovering non-coding driver alterations and the clinical utility of mutational signatures
Cancers develop by the accumulation of “driver” genetic alterations providing tumor cells a growth advantage. Whole genome sequencing allows to …
DR-184 Combatting therapy resistance in advanced breast cancer
We are investigating drug resistance mechanisms in two different types of breast cancer, 1) invasive lobular carcinoma (ILC) to PI3K/mTOR …
DR-178 Image-driven prognostic chemotherapy response insights using Artificial Intelligence
Modern machine learning techniques will be applied to the data in an exploratory study in order to identify possible new …
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