Evaluation of effects of polygenic risk score, blood biomarkers, and lifestyle behavior on the risk of prostate cancer and colorectal cancer.
Principal Investigator
Name
Le Wang
Degrees
Ph.D
Institution
Zhejiang Cancer Hospital
Position Title
Professor Assitant
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1270
Initial CDAS Request Approval
Jul 18, 2023
Title
Evaluation of effects of polygenic risk score, blood biomarkers, and lifestyle behavior on the risk of prostate cancer and colorectal cancer.
Summary
Prostate cancer is the most common cancer in males. Colorectal cancer (CRC) is the most common malignant tumor in the digestive system, with an estimated 1.93 million new cases and nearly 0.94 million cancer deaths all around the world in 2020.
It is thought that a complex interplay between environment and genetic risk factors is involved in prostate cancer and colorectal cancer. Previous risk prediction models mainly took environment factors into consideration. Joint utilizations of the risk prediction model with genetic testing are expected to help further optimize the definition of high-risk population and facilitate the development of precision intervention strategies. Therefore, we hypothesize that using the polygenic risk score (PRS) in combination with blood biomarkers and lifestyle predictors will improve the power to identify high-risk populations of prostate cancer. Besides, the interactions and mediation effects among multiple factors on prostate cancer risk and colorectal cancer risk were seldom reported. We plan to use interaction analysis or/and mediation analysis to explain the effect of each risk factor on prostate cancer, mainly including the potential factors of blood biomarkers, and lifestyle behavior, and even the genetic variants.
It is thought that a complex interplay between environment and genetic risk factors is involved in prostate cancer and colorectal cancer. Previous risk prediction models mainly took environment factors into consideration. Joint utilizations of the risk prediction model with genetic testing are expected to help further optimize the definition of high-risk population and facilitate the development of precision intervention strategies. Therefore, we hypothesize that using the polygenic risk score (PRS) in combination with blood biomarkers and lifestyle predictors will improve the power to identify high-risk populations of prostate cancer. Besides, the interactions and mediation effects among multiple factors on prostate cancer risk and colorectal cancer risk were seldom reported. We plan to use interaction analysis or/and mediation analysis to explain the effect of each risk factor on prostate cancer, mainly including the potential factors of blood biomarkers, and lifestyle behavior, and even the genetic variants.
Aims
1. Investigate the association between blood biomarkers, lifestyle behavior and dietary behaviors, and genetic variants and prostate cancer risk/colorectal cancer risk in the PLCO and in-house data.
2. Explore the interaction or mediation effect of each factor on prostate cancer risk and colorectal cancer risk by using interaction analysis.
3. Provide the evidences to utilize more laboratory-based studies to explore the biological mechanisms of prostate cancer and colorectal cancer.
Collaborators
Lingbin Du, MPH, Zhejiang Cancer Hospital
Zongping Wang, MD, Zhejiang Cancer Hospital
Yingying Mao, Ph.D, Zhejiang Chinese Medical University
Bin Liu, MS candidate, Zhejiang Chinese Medical University