Unravelling the role of signal transduction pathways in high-grade serous carcinogenesis: The road towards personalized treatment of ovarian cancer?

Phyllis van der Ploeg

doi:10.26481/dis.20230113pp

Unravelling the role of signal transduction pathways in high-grade serous carcinogenesis: The road towards personalized treatment of ovarian cancer?

Phyllis van der Ploeg

Research output: Thesis › Doctoral Thesis › External prepared

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Abstract

Ovarian cancer is characterized by poor prognosis. The disease often recurs despite aggressive treatment with surgery and chemotherapy. During the last decades, survival rates have not significantly improved, indicating the high need to unravel the molecular characteristics of ovarian cancer to constitute new therapeutic approaches. This thesis aims to increase our understanding of ovarian cancer behaviour using a novel method measuring signal transduction pathway (STP) activity. With this method, we measured the activity of six important STPs in healthy cells, precursor lesions and high-grade serous carcinoma. Ultimately, this thesis aims to improve the implementation of targeted treatment strategies for ovarian cancer patients by stratification based on STP activity.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Maastricht University
Supervisors/Advisors	Bekkers, Ruud, Supervisor Piek, J.M.l., Co-Supervisor, External person van de Stolpe, A., Co-Supervisor, External person Lambrechts, Sandrijne, Co-Supervisor
Award date	13 Jan 2023
Place of Publication	Maastricht
Publisher	Maastricht University
Print ISBNs	9789492741691
DOIs	https://doi.org/10.26481/dis.20230113pp
Publication status	Published - 2023

Keywords

high-grade serous ovarian carcinoma
signal transduction pathways
patient selection
targeted therapy

Access to Document

10.26481/dis.20230113pp

Full TextFinal published version, 15.3 MB
SummaryFinal published version, 106 KB
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Cite this

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title = "Unravelling the role of signal transduction pathways in high-grade serous carcinogenesis: The road towards personalized treatment of ovarian cancer?",

abstract = "Ovarian cancer is characterized by poor prognosis. The disease often recurs despite aggressive treatment with surgery and chemotherapy. During the last decades, survival rates have not significantly improved, indicating the high need to unravel the molecular characteristics of ovarian cancer to constitute new therapeutic approaches. This thesis aims to increase our understanding of ovarian cancer behaviour using a novel method measuring signal transduction pathway (STP) activity. With this method, we measured the activity of six important STPs in healthy cells, precursor lesions and high-grade serous carcinoma. Ultimately, this thesis aims to improve the implementation of targeted treatment strategies for ovarian cancer patients by stratification based on STP activity.",

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N2 - Ovarian cancer is characterized by poor prognosis. The disease often recurs despite aggressive treatment with surgery and chemotherapy. During the last decades, survival rates have not significantly improved, indicating the high need to unravel the molecular characteristics of ovarian cancer to constitute new therapeutic approaches. This thesis aims to increase our understanding of ovarian cancer behaviour using a novel method measuring signal transduction pathway (STP) activity. With this method, we measured the activity of six important STPs in healthy cells, precursor lesions and high-grade serous carcinoma. Ultimately, this thesis aims to improve the implementation of targeted treatment strategies for ovarian cancer patients by stratification based on STP activity.

AB - Ovarian cancer is characterized by poor prognosis. The disease often recurs despite aggressive treatment with surgery and chemotherapy. During the last decades, survival rates have not significantly improved, indicating the high need to unravel the molecular characteristics of ovarian cancer to constitute new therapeutic approaches. This thesis aims to increase our understanding of ovarian cancer behaviour using a novel method measuring signal transduction pathway (STP) activity. With this method, we measured the activity of six important STPs in healthy cells, precursor lesions and high-grade serous carcinoma. Ultimately, this thesis aims to improve the implementation of targeted treatment strategies for ovarian cancer patients by stratification based on STP activity.

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KW - patient selection

KW - targeted therapy

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