Safeguarding ovarian tissue autotransplantation in cancer patients

Author(s):
Peters, I.T.A.
Published
2018
Publication type
Doctoral Thesis

Abstract

Autotransplantation of ovarian tissue can be used to

restore fertility in cancer patients following gonadotoxic treatment. Whether

this procedure is safe remains unclear, as current tumor detection methods

(e.g. PCR analysis, immunohistochemistry) render the ovarian tissue unsuitable for transplantation. As a result, the current tumor detection approach includes assessment of only one or two cortical ovarian fragments that are not transplanted, whereas cortical ovarian tissue fragments that are placed back remain unchecked. The studies described in this thesis focused on determining the risk of reintroducing malignant tumor cells following ovarian tissue autotransplantation using the current tumor detection approach, and novel detection methods by which metastatic disease can be detected in the cortical ovarian fragments that are actually transplanted. These novel detection methods include near-infrared fluorescence (NIRF) imaging, a noninvasive imaging technique by which tumor cells can be specifically illuminated using tumor-targeting probes in the near-infrared range (λ = 700-900 nm), and full field optical coherence tomography, an imaging modality that rapidly produces high-resolution histology-like images without the need to fix, freeze, or stain the tissue.

Fertility preservationAutotransplantation of ovarian tissueOvarian metastasesRisk factor analysisNear-infrared fluorescent imagingFull-field optical coherence tomography
Defense date
2018-01-10
Language
English
Supervisor(s)
Trimbos, J.B.M.Z.; Hilders, C.G.J.M.
Advisor(s)
Kuppen, P.J.K.
Committee member(s)
Smit, V.T.H.B.M.; Velde, C.J.H. van de; Linn, S.C.; Braat, D.D.M.
Qualification
Ph.D.
Degree granting institution
Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/58923
ISBN(s)
9789462338258

Funding

Sponsorship
The research described in this thesis was financially supported by the project grant H2020-MSCA-RISE grant number 644373 – PRISAR, the European Union Seventh Framework Program FP7-ICT-2011-8 under grant agreement number 318729 (CAReIOCA project), DSW Health Insurance, and the Zabawas Foundation. Financial support by the Department of Gynecology of the Leiden University Medical Center, Chipsoft BV, 3D Histech – Sysmex, Pfizer and Memidis was gratefully acknowledged.