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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24930

Title: Innovative bioconjugation methods for an improved detection of ovarian cancer at early stage using multiple biomarkers
Authors: Tran, Huong
Smiejkowska, Natalia
Vincke, Cecile
Devoogdt, Nick
Muyldermans, Serge
Adriaensens, Peter J.
Guedens, Wanda
Issue Date: 2017
Citation: BIOMEDICA 2017 – Health care for the future, Eindhoven, Netherlands, 09-10/05/2017
Abstract: Ovarian cancer (OC), whose incidence increases with age, is one of the most common cancer types in woman. OC can be successfully treated if detected early but the diagnosis of OC at early stages is difficult since there are no obvious symptoms and no screening test has proven to be effective. Several biomarkers have been identified for the diagnosis and therapy of ovarian carcinomas such as Cancer Antigen 125 (CA125) or Human Epididymis protein 4 (HE4). Furthermore, Secretory leukocyte protease inhibitor (SLPI) and Progranulin (PGRN) are both overexpressed markers related to survival in ovarian cancer. PGRN has been described as a prognostic biomarker for the advanced stages and SLPI has been considered as an early detection marker of OC. However, those biomarkers´ sensitivity is still poor in the early stages of the disease, with an average of 50% for stage I and 90% for the stage II or higher. Since the selectivity and sensitivity of the biomarkers dedicated to OC are still insufficient for the detection at early stages and for monitoring the treatment and the recurrence of the disease, we attempt to develop more efficient biosensor detection strategies based on the bioconjugation between nanobodies and the biomarkers HE4, SLPI and PGRN. Several approaches, by which the introduction of a site-specific and bio-orthogonal functional group can pave the way to a uniform orientation of the nanobodies on the biosensor surface, will be explored. This should lead to an improved sensitivity since all nanobodies will have their active regions accessible for binding the biomarker.
URI: http://hdl.handle.net/1942/24930
Category: C2
Type: Conference Material
Appears in Collections: Research publications

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