Ovarian Neoplasms Clinical Trials

This is a multi-center, open-label phase 1 dose escalation trial that uses a modified 3+3 design to identify a recommended phase 2 dose (RP2D) of AB-1015 cell product. Backfill cohorts will enroll additional subjects at doses deemed to be safe for a total enrollment of up to 12 subjects per each backfill cohort on the protocol. Read Less

This study will evaluate the efficacy and safety of niraparib and novel treatment combinations of niraparib as described within each cohort-specific supplement in participants with ovarian, fallopian tube, or primary peritoneal cancer. Cohort A (single arm) includes participants with recurrent ovarian cancer. Cohort B will not be initiated. Cohort C (randomized-2 arms) includes participants with newly diagnosed ovarian cancer. Read Less

The study aims to develop a test for early detection of ovarian cancer using DNA from a growth involving the ovary found in a washing of the uterus (womb), and proteins found in the blood. The samples of the wash and the blood will be taken before surgery. After surgery, doctors will determine whether the participant had ovarian cancer or a benign disease of the ovaries. The tests of the washings and the blood will be examined to see how much the participants with ovarian cancer can be separated from the participants with a benign ovarian disease by the tests. Small amounts from the washing and the blood samples will be sent to four sites for analysis. Statistical analyses of these data will compare tumor DNA found in the washing of the uterus with proteins in the blood to detect cases of ovarian cancer. The primary goal is to find tests that are mostly positive for cases of ovarian cancer and mostly negative for patients with benign disease. It is hoped that if the tests work for participants with symptoms of the disease that these tests will also work when testing women who have no symptoms. A new study would be needed to see if the tests worked in this situation. If the tests work, this could lead to increasing the number of cases detected in early stage disease and decreasing the number of cases detected in late stage disease. If this change in late stage is large, it will likely reduce deaths due to ovarian cancer. Read Less