Increasing number of ovarian cancer patients are receiving PARP inhibitor as maintenance therapy. Predictive factors to PARP inhibitor other than BRCA mutation or HRD status are unknown. Previous study, we analyzed the dynamic immunological changes in peripheral T cells during PARP inhibitor maintenance therapy and found predictive biomarkers. The purpose of this study is to prospectively validate the biomarkers for predicting response to PAPR inhibitors in ovarian cancer. We collect serial blood samples (before initiation of therapy and after 1, 3, and 6 months) in ovarian cancer patients who receive PARP inhibitor and analyze immunological characteristics of peripheral CD8 and regulatory T cells. Through assessment of the baseline properties and dynamic changes in T cells, we aim to validate the predictive biomarker and develope promising novel targets to enhancing survival outcomes of high-risk patients.
Study Type
OBSERVATIONAL
Enrollment
54
Yonsei University Health System, Severance Hospital
Seoul, South Korea
RECRUITINGValidation of biomarkers for predicting response to PAPR inhibitor
Investigators will utilize baseline peripherap blood mononuclear cells (PBMCs) to validate predictive biomarkers to PARP inhibitor. Response to PAPR inhibitor was defined by BRCA1/2 status and duration of PAPR inhibitor treatment.
Time frame: The primary endpont will be accessed 12 months after last patient registration.
Identify dynamic immunological changes during PAPR inhibitor therapy
Investigators will utilize serial samples to identify dynamic immunological changes during PAPR inhibitor therapy.
Time frame: Immunological changes (Time Frame: 6 months
Identify promising novel targets to enhance survivla outcomes of high-risk pateints in PAPR inhibitor therapy.
Investigators will utilize serial samples to identify dynamic immunological changes during PAPR inhibitor therapy.
Time frame: Identify promising novel targets (Time Frame: 12 months)
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