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HKUMed Study Confirms High Cost-Effectiveness of Prostate Cancer Screening, Advocating for City-Wide Implementation to Reduce Advanced Cancer Rates and Mortality

HK

HKUMed Study Confirms High Cost-Effectiveness of Prostate Cancer Screening, Advocating for City-Wide Implementation to Reduce Advanced Cancer Rates and Mortality
HK

HK

HKUMed Study Confirms High Cost-Effectiveness of Prostate Cancer Screening, Advocating for City-Wide Implementation to Reduce Advanced Cancer Rates and Mortality

2026-01-06 17:08 Last Updated At:17:11

A research team from the Department of Surgery and the Department of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, the University of Hong Kong (HKUMed), has demonstrated that prostate-specific antigen (PSA) screening for men aged 45 and above can significantly reduce the incidence of advanced-stage prostate cancer from 39% to approximately 1%, and lower the mortality rate from 6.14% to 2.85%. The study highlights that implementing risk-stratified screening in Hong Kong is highly cost-effective, providing robust evidence to support the formulation of future cancer prevention and control policies in the city. The study findings were published in The Lancet Regional Health – Western Pacific.

A study from HKUMed demonstrates that prostate-specific antigen (PSA) screening can significantly reduce the incidence of advanced-stage prostate cancer and mortality rate. The research is led by Dr Na Rong (left) from the Department of Surgery, and Professor Li Xue from the Department of Medicine, both under the School of Clinical Medicine at HKUMed. Photo source: HKUMed

A study from HKUMed demonstrates that prostate-specific antigen (PSA) screening can significantly reduce the incidence of advanced-stage prostate cancer and mortality rate. The research is led by Dr Na Rong (left) from the Department of Surgery, and Professor Li Xue from the Department of Medicine, both under the School of Clinical Medicine at HKUMed. Photo source: HKUMed

PSA screening helps reduce incidence of advanced prostate cancer and mortality

According to the latest data from the Health Bureau, prostate cancer is now the third most prevalent cancer among men in Hong Kong, with its incidence rising in tandem with the ageing population. Dr Na Rong, Clinical Assistant Professor in the Department of Surgery, School of Clinical Medicine, HKUMed, explained that early symptoms of prostate cancer are often subtle, leading to delayed treatment. PSA screening, a blood test used to detect PSA levels in the blood, helps identify high-risk or metastatic prostate cancer at an early stage. However, the city's current health policy does not include a targeted screening programme for prostate cancer, and there is insufficient scientific evidence to support the implementation of universal screening.

The research team evaluated 56 distinct PSA screening strategies, including annual PSA screening for men aged 45 to 75. The team found that this strategy could significantly reduce the proportion of patients diagnosed with advanced-stage cancer at initial diagnosis from approximately 39% to 1%, while also slashing the annual prostate cancer mortality rate from 6.14% to 2.85%.

Cost-effectiveness of city-wide PSA screening

The team also evaluated the cost-effectiveness of implementing city-wide PSA screening to reduce pressure on the public healthcare system. The results indicated that assuming annual PSA screening for the 45 to 75 age group, the costs for screening and subsequent treatments would be far below the 'cost-effective' threshold defined by the World Health Organisation (WHO). Specifically, the estimated annual incremental cost per person would be approximately US$4,950 (HK$38,500). This is far below the value generated by the intervention, especially when compared to Hong Kong's GDP per capita of approximately US$55,000 (HK$420,000), confirming that periodic PSA screening is 'highly cost-effective'.

'From a health economics perspective, if a medical intervention is proven to be “cost-effective” in regions with lower GDP per capita, its feasibility and economic benefits are even more significant in a high-income economy like that of Hong Kong. With more abundant medical resources and higher purchasing power, Hong Kong is well-positioned to implement proactive early screening to reduce the societal burden of advanced cancer,' emphasised Dr Na.

Optimising resource allocation through 'precision screening'

To avoid overdiagnosis and strain on the public healthcare system, the research team suggests 'precision stratification' of population risk. The study introduced polygenic risk scores (PRS) for prostate cancer prediction to tailor screening strategies based on individual risk levels. While high-risk groups would undergo more frequent monitoring, the screening starting age could be delayed or testing frequency reduced for low-to-medium risk groups (comprising two-thirds of the population). This stratified approach would improve cost-effectiveness without compromising overall survival rates.

'We hope this health economics study, which combines clinical data from Hong Kong and the Chinese Mainland, will promote a review of prostate cancer screening guidelines in the city. In the long term, this will help achieve "early detection, early treatment”, improve the healthy life expectancy of men in Hong Kong, and alleviate societal and medical costs,' concluded Dr Na.

Research based on big data from Hong Kong and the Chinese Mainland

The research utilised 20 years of clinical follow-up data from Hong Kong, screening cohorts from Guangzhou, and diagnostic data from Shanghai. Leveraging this real-world evidence, HKUMed and the Mainland teams accurately modeled the natural history and prognosis of prostate cancer in the region. These results are highly applicable to the local population for predicting disease burden and intervention outcomes.

About the research team

The study was led by Dr Na Rong, Clinical Assistant Professor, Department of Surgery; Professor Li Xue, Assistant Professor, Department of Medicine, both under the School of Clinical Medicine at HKUMed; in collaboration with Professor Gu Di, First Affiliated Hospital of Guangzhou Medical University. The first authors are Dr Liu Jiacheng, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine; Dr Jiao Yuanshi, Department of Medicine, School of Clinical Medicine, HKUMed, and Dr Huang Yueting, First Affiliated Hospital of Guangzhou Medical University.

The research team hopes this health economics study will promote a review of prostate cancer screening guidelines in the city, ultimately improving the healthy life expectancy of men in Hong Kong in the long term while alleviating societal and medical costs. Photo source: HKUMed

The research team hopes this health economics study will promote a review of prostate cancer screening guidelines in the city, ultimately improving the healthy life expectancy of men in Hong Kong in the long term while alleviating societal and medical costs. Photo source: HKUMed

A research team from the Department of Pharmacology and Pharmacy at the LKS Faculty of Medicine of the University of Hong Kong (HKUMed) has developed an innovative AI-based cardiovascular risk prediction tool, called CardiOmicScore. With a single blood test, the system can accurately forecast the future risk of six major cardiovascular diseases (CVDs): coronary artery disease, stroke, heart failure, atrial fibrillation, peripheral artery disease and venous thromboembolism. It can also provide early warning signals up to 15 years before clinical onset. The findings were published in Nature Communications [link to the publication].

HKUMed develops a cardiovascular risk prediction tool that can accurately predict the future risk of six major cardiovascular diseases with a single blood test. The system can provide early warning signals up to 15 years before clinical onset. The research is led by Professor Zhang Qingpeng (left).

HKUMed develops a cardiovascular risk prediction tool that can accurately predict the future risk of six major cardiovascular diseases with a single blood test. The system can provide early warning signals up to 15 years before clinical onset. The research is led by Professor Zhang Qingpeng (left).

AI-based multiomics integration reflects the body’s real-time health status

CVDs remain the leading cause of death worldwide, accounting approximately 19.8 million fatalities in 2022 alone. In routine health assessments, physicians typically evaluate cardiovascular risk based on age, blood pressure, smoking and other conventional clinical indicators. However, these measures often fail to capture subtle and early biological changes before the disease becomes clinically apparent, leading to many patients missing the optimal window for preventive intervention. Although polygenic risk scores have become popular in recent years, genetic predisposition is largely fixed at birth and does not change over time. Consequently, polygenic risk scores cannot reflect the immediate impact on health conditions resulting from lifestyle or environmental changes. This creates an urgent need for tools that can capture a person’s current biological state and provide accurate, early warnings for CVDs.

To address this problem, the HKUMed research team applied deep learning techniques to integrate multiomics data, including genomics, metabolomics and proteomics, to develop the CardiOmicScore tool. The study was based on large-scale population data from the UK Biobank, analysing 2,920 circulating proteins and 168 metabolites measured from blood samples. These molecular signals act as ‘real-time recorders’ of the body, sensitively reflecting subtle changes in the immune system, metabolism, and vascular health.

Professor Zhang Qingpeng, Associate Professor in the Department of Pharmacology and Pharmacy at HKUMed, explained, ‘Genes determine where we start—they define our baseline health risk. However, proteins and metabolites reflect our current physical health. Our AI tool is designed to decode these complex molecular signals, enabling doctors and patients to identify risks much earlier, which can potentially change the trajectory of disease through timely lifestyle modifications and early prevention.’

Accurate prediction of six major cardiovascular diseases with 15-year advance warning in high-risk groups

The results showed that CardiOmicScore transforms complex multiomics measurements into personalised risk scores with substantially improved predictive performance compared with conventional polygenic risk scores. When combined with clinical information such as age and gender, the model significantly enhanced the risk prediction accuracy of six common CVDs and can even flag elevated risk up to 15 years before symptoms appear.

This study marks a shift in precision medicine from a static, gene-centric paradigm towards a more dynamic, multiomics-based approach. In the future, a small-volume blood sample may be sufficient to generate a comprehensive cardiovascular risk profile for multiple diseases.

Professor Zhang added, ‘We aim to leverage technology to identify and prevent diseases before they develop. By shifting health management from reactive treatment to proactive prediction and intervention, we aim to create a lasting impact for both public health and individual patient care.’

About the research team

The study was led by Professor Zhang Qingpeng, Associate Professor in the Department of Pharmacology and Pharmacy, HKUMed, and the HKU Musketeers Foundation Institute of Data Science (IDS). The first author is Luo Yan from the HKU IDS.

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