Body mass index (BMI) trajectories and risk of ovarian cancer in the PLCO cohort.
Principal Investigator
Name
Kaipeng Xie
Degrees
Ph.D.,
Institution
Nanjing Medical University
Position Title
None.
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-434
Initial CDAS Request Approval
Jan 17, 2019
Title
Body mass index (BMI) trajectories and risk of ovarian cancer in the PLCO cohort.
Summary
Ovarian cancer is one of the most fatal gynecologic malignancies worldwide. Here we propose to use PLCO data, including demographic characteristics (age, education, race, family history, height, weight, smoking status and intensity, menopause status and so on) and ovarian cancer (location, stage, grade histological type and so on), to further explored the association of age-specific BMI, average BMI, body weight changes, and life-course BMI trajectories with ovarian cancer risk in a large prospective cohort study. This study could help to offer an effective strategy to aid the primary prevention of ovarian cancer.
We plan to use the comprehensive person based dataset, Baseline Questionnaire, Supplemental Questionnaire (SQX) to evaluate the effect of BMI on ovarian cancer risk. Simultaneously, we need to conside the confounding factors from Dietary Questionnaire (DQX), Diet History Questionnaire (DHQ), Ovarian Biomarkers, Benign Ovarian Pathology report data, Vitamin D 25-hydroxyvitamin D and 1,25-dihydroxyvitamin D3 dataset and Contamination Survey. We also evaluate these factors on the risk of ovarian cancer.
We plan to use the comprehensive person based dataset, Baseline Questionnaire, Supplemental Questionnaire (SQX) to evaluate the effect of BMI on ovarian cancer risk. Simultaneously, we need to conside the confounding factors from Dietary Questionnaire (DQX), Diet History Questionnaire (DHQ), Ovarian Biomarkers, Benign Ovarian Pathology report data, Vitamin D 25-hydroxyvitamin D and 1,25-dihydroxyvitamin D3 dataset and Contamination Survey. We also evaluate these factors on the risk of ovarian cancer.
Aims
1. We aim to explore the association of ovarian cancer risk with age-specific BMI, average BMI, body weight changes, and life-course BMI trajectories in a large prospective cohort study.
2. This may provide mechanistic insight and inform the time window of when interventions may be successfully implemented to reduce the incidence of ovarian cancer.
Collaborators
None.