|Year of selection||2014|
|Institution||Academic Medical Center|
Type of support
120 000 €
Conventional medical interventions for treatment of cancers include surgery, chemotherapy and radiation therapy.
These interventions tend to impose high risks of side effects, while they are typically beneficial in only a small proportion of patients. With recent advances in genetic and molecular biology techniques, a huge number of novel and promising risk markers are identified. Now is the time to evaluate these novel makers and combine them with the conventional risk factors, for a better selection of treatment for patients. If we can develop and validate such multimarker treatment selection rules, only those patients who are likely to benefit will be exposed to the risks of treatment, while alternative interventions can be offered to those unlikely to benefit.
In collaboration with the European Organisation for Research and Treatment of Cancer (EORTC) we have recently developed a multi-marker treatment selection rule for a better choice of treatment in ovarian cancer patients. Within my AXA project, I will work in partnership with EORTC, Institut Curie and Oxford University to validate and extend this decision rule with novel genetic and molecular markers (e.g. folate receptor alpha (FRA), BRCA1
and BRCA2, copy number alterations, and epigenetic changes). Development of this multi-marker treatment selection rule improves the choice of treatment for ovarian cancer patients and avoids exposing them to unnecessary treatment risks, eventually resulting in a better health outcome and quality of life in these patients.
thanks to the analyses of data combined with recent advances in genetic and molecular biology techniques, Parvin Tajik, Iranian woman scientist, working at the Academic Medical Center in the Netherlands, helps improve the choice of treatment for cancer patients and avoids exposing them to unnecessary treatment risks, eventually resulting in a better health outcome and quality of life in these patients.
(Scientific title : Applying Novel Markers to Prdict Individualized Risks of and Benefits from tratement in patiens with ovarian cancer)
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