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Principal Investigator
Name
Huang Yubei
Degrees
M.D., Ph.D
Institution
Tianjin Medical University Cancer Institute and Hospital
Position Title
Research Associate
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1072
Initial CDAS Request Approval
Oct 11, 2022
Title
Risk-stratified multi-round PSA screening for prostate cancer incorporating population-based screening reference level and subgroup-specific progression indicators
Summary
Although prostate-specific antigen (PSA) is widely used in prostate cancer (PCa) screening, nearly half of PCa cases are missed under the traditional PSA screening strategy. The adoption of PSA diagnostic criteria for PCa in population-based screening is presumed to be the leading cause of the missed PCa. Since most of the screening population are healthy men, and only a minority of men have PSA above the diagnostic criteria. Moreover, to improve the effectiveness of PSA screening for PCa, many studies have proposed several new strategies to cope with the above limitations of PSA screening. As observed in STHLM3-MRI, screening using a combination of risk-prediction, magnetic resonance imaging (MRI), and targeted prostate biopsies has shown the potential to reduce over-detection while maintain the ability to detect clinically significant cancer. However, MRI is not readily available in many resource-limited settings. Additionally, several PSA progression indicators based on repeated PSA tests have been also proposed to improve the effectiveness of PSA screening, such as PSA velocity and doubling time, etc. However, most of these progression indicators are used for prognostic monitoring of PCa, few studies have investigated the performance and differences between these PSA progression indicators under the setting of population-based screening. In summary, it is necessary to determine the PSA reference level for population-based PCa screening, investigate the effects of PSA progression indicators under the setting of population-based screening, and finally propose a new PSA screening strategy for PCa.
Aims

The main purpose of this study is to determine the PSA reference level for population-based PCa screening, and further to determine the optimal subgroup-specific progression indicators and their corresponding subgroup-specific cut-off values. After incorporating the above indicators, we aim to propose a new risk-stratified multi-round PSA screening strategy to reduce the missed PCa associated with traditional screening strategy and improve the detection of clinically significant PCa.

Collaborators

Xiaomin Liu, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Yu Zhang, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Hongyuan Duan, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Lei Yang, Peking University Cancer Hospital & Institute, Beijing, China
Shengfeng Wang, Peking University Health Science Center, Beijing, China
Chao Sheng, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Zeyu, Fan, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Ya Liu, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Zhangyan Lyu, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Fangfang Song, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Fengju Song, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

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