Effect of pregnancy and risk for ovarian cancer

Principal Investigator

Name
Sachi Horibata

Degrees
Ph.D.

Institution
Michigan State University

Position Title
Assistant Professor

Email
horibat2@msu.edu

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-938

Initial CDAS Request Approval
Mar 7, 2022

Title
Effect of pregnancy and risk for ovarian cancer

Summary
Although ovarian cancer accounts for less than 3% of new cancer cases, the death rate associated with ovarian cancer is high, making it the fifth leading cause of cancer-related death in women. The primary reason is that ovarian cancer is often detected at a later stage. When detected early, patients have over a 90% 5-year survival rate. The current limitation is our lack of ability to detect ovarian cancer at an early stage. We would like to utilize the PLCO dataset to determine whether pregnancy, particularly the age of first pregnancy, number of pregnancies, stillbirth pregnancy, ectopic pregnancy, and miscarriage, and whether the mothers were breastfeeding after pregnancy affect their risk for ovarian cancer and their response to treatment.

Aims

Aims
Investigate whether the age of first pregnancy, number of pregnancies, stillbirth pregnancy, prior ectopic pregnancy, prior miscarriage, and whether the mothers were breastfeeding after pregnancy affect their risk for ovarian cancer and their response to treatment.

Statistical analysis
We will utilize Fisher’s exact and chi-squared test to measure the contingency between the number and outcome of pregnancies and ovarian cancer incidence. In order to measure treatment response, we can find the contingency between the mortality and treatment data.

Collaborators

N/A