Liquid Biopsy-based Early Detection of Ovarian Cancer: a Proof-of-concept Study ( PROFOUND-OC )

Summary

This study is a multi-center, observational study aiming at developing a machine learning-based early detection model using prospectively collected liquid biopsy samples from newly diagnosed ovarian cancer.

Eligibility

Inclusion Criteria:

* 40-75 years old
* Clinically and/or pathologically diagnosed ovarian cancer
* No prior or undergoing any systemic or local antitumor therapy, including but not limited to surgical resection, radiochemotherapy, endocrinotherapy, targeted therapy, immunotherapy, interventional therapy, etc.
* Able to provide a written informed consent and willing to comply with all part of the protocol procedures

Exclusion Criteria:

* Pregnancy or lactating women
* Known prior or current diagnosis of other types of malignancies comorbidities
* Severe acute infection (e.g. severe or critical COVID-19, sepsis, etc.) or febrile illness (body temperature of ≥ 38.0 °C) within 14 days prior to blood draw
* Recipients of organ transplant or prior bone marrow transplant or stem cell transplant
* Recipients of blood transfusion within 30 days prior to study blood draw
* Recipients of therapy in past 14 days prior to blood draw, including oral or IV antibiotics, glucocorticoid, azacitidine, decitabine, procainamine, hydrazine, arsenic trioxide
* Other conditions that the investigators considered are not suitable for the enrollment

Conditions2

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