design
Knowledge on prostate cancer : Random effect meta-analysis was performed to pool the proportion of knowledge as heterogeneity found to be high (I 2 =99.6%). In this meta-analysis random effects model analysis showed that the pooled estimate of knowledge among the studies conducted by Marianna et al, Belinda F Morrison et al, and Oladepo Oladimeji et al, was found to be 65% [CI: 29%, 100%] ( Figure 2 )
Knowledge Random-effects REML Model.
Awareness of signs, symptom and treatment of Prostate cancer : Random effect meta-analysis was performed to pool the proportion of awareness as heterogeneity found to be high (I 2 =91.05%). The pooled estimate found to be 74% [CI: 66%, 82%] ( Figure 3a ).
Awareness Random-effects REML Model.
Awareness on PSA : Fixed effect meta-analysis is performed to pool the proportion of awareness of PSA as heterogeneity found to be less (I 2 =45.56%). In this meta-analysis random effects model analysis showed that the pooled estimate of awareness of PSA among the studies conducted by Genevieve et al, Marianna et al showed the pooled estimate of 74% [CI: 71%, 77%] ( Figure 3b ).
Awareness of PSA Fixed-effects inverse-variance model.
Practice of undergoing screening of prostate cancer : Random effect meta-analysis was performed to pool the proportion of practice as heterogeneity found to be high (I 2 =99.16%). The pooled estimate found to be 14% [CI: 13%, 15%] ( Figure 4 ).
Practice Fixed-effects inverse-variance model.
In this review, the articles from the year 2000 to 2021 based on Knowledge, Awareness and Practice of screening for Prostate cancer and PSA test were included. These studies were conducted on various geographical regions like Kenya, Nigeria, Italy, UK, and Jamaica. This review identified seven articles in a span of two decades. The studies were conducted in human participants and cross-sectional study design was implemented.
According to our meta-analysis, we noted the proportion of knowledge as heterogeneity found to be high with I 2 =99.6% with a pooled estimate of 65% ( Figure 2 ). A survey across Jamaica demonstrated a pooled estimate of 0.84( 8 ) while the study conducted across Italy showed the pooled estimate of 0.82( 9 ). A considerable difference was noted in the pooled estimate in the study conducted in Nigeria that showed a pool estimate of 0.29( 10 ). The pooled estimate was higher in the studies done post 2015 than the one done in 2010 may be due to the time frame between the two studies. The study done in Jamaica demonstrated a pooled estimate of 0.84( 8 ) which was higher while the study done in Nigeria showed the pooled estimate of 0.29( 10 ) which was comparatively very low. The pooled estimate was higher in the studies done post 2015 than the one done in 2010 may be due to the time period when the study was conducted.
In terms of awareness and perception towards prostate cancer among men, the proportion of awareness as heterogeneity was found to be high (I 2 =91.05%). The pooled estimate found to be 74% [CI: 66%, 82%] ( Figure 3a ). A study was conducted across Nigeria to assess the awareness showed the pooled estimate of 0.80( 10 ) while the study done in Rwanda showed the pooled estimate of 0.75( 11 ) and the study done in Abuja showed a pooled estimate of 0.67( 12 ). However, the study done in Nigeria showed higher pooled estimate than the ones done in Rwanda and Abuja.
In a study conducted by Marianna Morlando et al in Italy, the knowledge and awareness towards prostate cancer screening and PSA test was higher among the older men with higher education level, in which the PSA test has already been practiced by 29.6% of men, and 59.4% intend to do so in the future. In response to the survey, the majority of respondents had a reasonable understanding of prostate cancer and were likely to undergo the PSA test. The studies showed good awareness for PSA in the study done in Rwanda showed 0.77 pooled estimate( 11 ) and the study done in Italy showed a pooled estimate of 0.73( 9 ). Both the studies showed almost equal pooled estimate.
With respect to practice of screening for prostate cancer a study which was done in Rwanda showed the pooled estimate of 0.45( 11 ), the study done in Italy showed the pooled estimate of 0.30( 9 ), the study done in Abuja showed the pooled estimate of 0.29( 12 ) whereas the study done in Nigeria showed the pooled estimate of 0.04( 10 ). The study done in the Rwanda showed the highest pooled estimate for the screening practice while the study done in Nigeria showed the lowest. The studies done post 2015 had better screening practices than the one done in 2010, which may be due the time period when the studies were conducted.
Subgroup analysis was conducted for the studies done in African Continent, the study done in Rwanda showed the pooled estimate of 0.45, the study done in Abuja showed the pooled estimate of 0.29( 12 ) whereas the study done in Nigeria showed the pooled estimate of 0.04 ( 10 ). The study done in the Rwanda showed the highest pooled estimate in African Continent for the screening practice while the study done in Nigeria showed the lowest.
However, we also noted regarding the practice of prostate cancer screening, according to the sensitivity analysis, the studies done in Rwanda showed the pooled estimate of 0.45( 11 ) whereas the study done in Italy showed the pooled estimate of 0.30( 9 ) and the study done in Abuja showed the pooled estimate of 0.29( 12 ). The study done in the Rwanda showed the highest pooled estimate for the practice-sensitivity comparatively to the study done in Italy and Abuja.
Hence, it was clearly observed that the development of the tool to assess the knowledge, awareness and practice for prostate cancer is highly significant in order to increase the information on the risks, benefits of the signs and symptoms of prostate cancer and the also the screening practice of prostate cancer at an early stage.
In conclusion, it was found that there is a high level of knowledge and awareness about prostatic cancer according to the study. However, participants showed low screening practices in prostate cancer prevention, as well as a low ability to identify the risk factors and determine when prostate cancer is more likely to occur. In addition, all socio-demographic factors were strongly related to cancer screening practices. Furthermore, televisions, radios, and other mass media may not have been effective at communicating health information to men, leading to low screening rates for men. As a consequence, increasing knowledge and screening rates of prostate cancer need to be improved in the community.
Hence, the results indicate the need for developing a tool for to educate and create awareness among the men regarding the prostate cancer in both rural and urban areas in order to reduce the burden of advanced cancer by practising early screening and curb the mortality rate.
What is screening.
Screening is looking for cancer before a person has any symptoms . This can help find cancer at an early stage . When abnormal tissue or cancer is found early, it may be easier to treat. By the time symptoms appear, cancer may have begun to spread.
Scientists are trying to better understand which people are more likely to get certain types of cancer. They also study the things we do and the things around us to see if they cause cancer. This information helps doctors recommend who should be screened for cancer, which screening tests should be used, and how often the tests should be done.
It is important to remember that your doctor does not necessarily think you have cancer if he or she suggests a screening test. Screening tests are given when you have no cancer symptoms. Screening tests may be repeated on a regular basis.
If a screening test result is abnormal, you may need to have more tests done to find out if you have cancer. These are called diagnostic tests .
Prostate cancer is a disease in which malignant (cancer) cells form in the tissues of the prostate., prostate cancer is the most common nonskin cancer among men in the united states., different factors increase or decrease the risk of developing prostate cancer..
See the following PDQ summaries for more information about prostate cancer:
Prostate cancer is found mainly in older men. In the United States, about one out of every 8 men will be diagnosed with prostate cancer. Most men diagnosed with this disease do not die from it. Prostate cancer causes more deaths in men than any other cancer except lung cancer . Prostate cancer occurs more often in African American men than in White men. African American men with prostate cancer are more likely to die from the disease than White men with prostate cancer.
Anything that increases a person's chance of developing a disease is called a risk factor . Anything that decreases your chance of getting a disease is called a protective factor .
For information about risk factors and protective factors for prostate cancer, see Prostate Cancer Prevention .
Tests are used to screen for different types of cancer when a person does not have symptoms., digital rectal exam, prostate-specific antigen test, a prostate cancer gene 3 (pca3) rna test may be used for certain patients., screening tests for prostate cancer are being studied in clinical trials..
Scientists study screening tests to find those with the fewest harms and most benefits. Cancer screening trials also are meant to show whether early detection (finding cancer before it causes symptoms ) helps a person live longer or decreases a person's chance of dying from the disease. For some types of cancer, the chance of recovery is better if the disease is found and treated at an early stage .
Although there are no standard or routine screening tests for prostate cancer , the following tests are being used or studied to screen for it:
A prostate-specific antigen (PSA) test is a test that measures the level of PSA in the blood . PSA is a substance made mostly by the prostate that may be found in an increased amount in the blood of men who have prostate cancer. The level of PSA may also be high in men who have an infection or inflammation of the prostate or benign prostatic hyperplasia (BPH; an enlarged, but noncancerous, prostate).
A PSA test or a DRE may be able to detect prostate cancer at an early stage, but it is not clear whether early detection and treatment decrease the risk of dying from prostate cancer.
Studies are being done to find ways to make PSA testing more accurate for early cancer detection.
If a man had a high PSA level and a biopsy of the prostate did not show cancer and the PSA level remains high after the biopsy, a prostate cancer gene 3 (PCA3) RNA test may be done. This test measures the amount of PCA3 RNA in the urine after a DRE. If the PCA3 RNA level is higher than normal, another biopsy may help diagnose prostate cancer.
Information about clinical trials supported by NCI can be found on NCI’s clinical trials search webpage. Clinical trials supported by other organizations can be found on the ClinicalTrials.gov website.
Screening tests have risks., finding prostate cancer may not improve health or help a man live longer., follow-up tests, such as a biopsy, may be done to diagnose cancer., false-negative test results can occur., false-positive test results can occur..
Decisions about screening tests can be difficult. Not all screening tests are helpful and most have risks. Before having any screening test, you may want to discuss the test with your doctor. It is important to know the risks of the test and whether it has been proven to reduce the risk of dying from cancer .
Screening may not improve your health or help you live longer if you have cancer that has already spread to the area outside of the prostate or to other places in your body.
Some cancers never cause symptoms or become life-threatening, but if found by a screening test, the cancer may be treated. Finding these cancers is called overdiagnosis . It is not known if treatment of these cancers would help you live longer than if no treatment were given.
Treatments for prostate cancer , such as radical prostatectomy and radiation therapy , may have long-term side effects in many men. The most common side effects are erectile dysfunction and urinary incontinence .
Some studies of patients with newly diagnosed prostate cancer showed these patients had a higher risk of death from cardiovascular (heart and blood vessel ) disease or suicide . The risk was greatest in the first weeks or months after diagnosis .
If a PSA test is higher than normal, a biopsy of the prostate may be done. Complications from a biopsy of the prostate may include fever , pain, blood in the urine or semen , and urinary tract infection . Even if a biopsy shows that a patient does not have prostate cancer, he may worry more about developing prostate cancer in the future.
Magnetic resonance imaging (MRI)−guided biopsy is being studied in the diagnosis of prostate cancer, either in place of, or in addition to, standard prostate needle biopsy .
Screening test results may appear to be normal even though prostate cancer is present. A man who receives a false-negative test result (one that shows there is no cancer when there really is) may delay seeking medical care even if he has symptoms.
Screening test results may appear to be abnormal even though no cancer is present. A false-positive test result (one that shows there is cancer when there really isn't) can cause anxiety and is usually followed by more tests, (such as biopsy) which also have risks.
Your doctor can advise you about your risk for prostate cancer and your need for screening tests.
Physician Data Query (PDQ) is the National Cancer Institute's (NCI's) comprehensive cancer information database. The PDQ database contains summaries of the latest published information on cancer prevention, detection, genetics, treatment, supportive care, and complementary and alternative medicine. Most summaries come in two versions. The health professional versions have detailed information written in technical language. The patient versions are written in easy-to-understand, nontechnical language. Both versions have cancer information that is accurate and up to date and most versions are also available in Spanish .
PDQ is a service of the NCI. The NCI is part of the National Institutes of Health (NIH). NIH is the federal government’s center of biomedical research. The PDQ summaries are based on an independent review of the medical literature. They are not policy statements of the NCI or the NIH.
This PDQ cancer information summary has current information about prostate cancer screening. It is meant to inform and help patients, families, and caregivers. It does not give formal guidelines or recommendations for making decisions about health care.
Editorial Boards write the PDQ cancer information summaries and keep them up to date. These Boards are made up of experts in cancer treatment and other specialties related to cancer. The summaries are reviewed regularly and changes are made when there is new information. The date on each summary ("Updated") is the date of the most recent change.
The information in this patient summary was taken from the health professional version, which is reviewed regularly and updated as needed, by the PDQ Screening and Prevention Editorial Board .
A clinical trial is a study to answer a scientific question, such as whether one treatment is better than another. Trials are based on past studies and what has been learned in the laboratory. Each trial answers certain scientific questions in order to find new and better ways to help cancer patients. During treatment clinical trials, information is collected about the effects of a new treatment and how well it works. If a clinical trial shows that a new treatment is better than one currently being used, the new treatment may become "standard." Patients may want to think about taking part in a clinical trial. Some clinical trials are open only to patients who have not started treatment.
Clinical trials can be found online at NCI's website . For more information, call the Cancer Information Service (CIS), NCI's contact center, at 1-800-4-CANCER (1-800-422-6237).
PDQ is a registered trademark. The content of PDQ documents can be used freely as text. It cannot be identified as an NCI PDQ cancer information summary unless the whole summary is shown and it is updated regularly. However, a user would be allowed to write a sentence such as “NCI’s PDQ cancer information summary about breast cancer prevention states the risks in the following way: [include excerpt from the summary].”
The best way to cite this PDQ summary is:
PDQ® Screening and Prevention Editorial Board. PDQ Prostate Cancer Screening. Bethesda, MD: National Cancer Institute. Updated <MM/DD/YYYY>. Available at: https://www.cancer.gov/types/prostate/patient/prostate-screening-pdq . Accessed <MM/DD/YYYY>. [PMID: 26389306]
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From oncogenesis to theranostics: the transformative role of psma in prostate cancer.
1. oncogenesis, 2. introduction to prostate cancer, 3. psma and prostate cancer diagnosis, 4. psma pet imaging, 5. theranostics, 7. 177. lupsma-617, 8. 177. lu-psma-i&t, 11. conclusions, author contributions, conflicts of interest.
Click here to enlarge figure
Clinical Trial Identifier/Authors | Study Objective | Phase | Status |
---|---|---|---|
Bander et al. [ ] | 177Lu-J591 in androgen-independent prostate cancer | 1 | Complete |
NCT00195039 | 177Lu-J591 in mCRPC | 2 | Complete |
NCT00538668 | 177Lu-J591 in mCRPC | 1/2 | Complete |
NCCT04786847 (ProstACT SELECT) | 177Lu-TLX591 with SoC in mCRPC | 1 | Complete |
NCT05146973 (ProstACT Target) | 177Lu-TLX591 with external beam radiation therapy in biochemically recurrent, oligometastatic PSMA prostate cancer | 2 | Active, not recruiting |
NCT04876651 (PROSTACT) | 177Lu-TLX591 with Soc versus Soc alone in mCRPC | 3 | Not yet recruiting |
Criteria | Full Name | Details |
---|---|---|
RECIST | Response Evaluation Criteria in Solid Tumors | Evaluates tumors’ reactions to treatments by monitoring changes in their size through anatomical imaging techniques. It primarily focuses on measurable tumor lesions. |
PERCIST | PET Response Criteria in Solid Tumors | Assesses metabolic response to treatments using PET scans by monitoring changes in standardized uptake values (SUV) of tumors, emphasizing metabolic changes over size alterations. |
PCWG3 | Prostate Cancer Working Group 3 | Provides guidelines tailored to prostate cancer for assessing treatment response and disease progression by considering PSA levels, imaging results, and clinical status. |
PPP | PSMA PET Progression | Focuses on disease progression in PSMA PET, monitoring biochemical or clinical progression along with lesion counts observed through PSMA-ligand PET. |
RECIP | Response Evaluation Criteria in PSMA Imaging | Specifically designed for PSMA PET, these criteria evaluate treatment effectiveness in metastatic castration-resistant prostate cancer by focusing on new lesions and overall PSMA tumor volume changes. |
Clinical Trial Identifier/Authors | Study Objective | Phase | Status |
---|---|---|---|
VISION (NCT03511664) | 177Lu-PSMA-617 and Soc versus Soc alone in mCRPC | 3 | Complete |
UpfrontPSMA (NCT04343885) | 177Lu-PSMA-617 followed by docetaxel versus docetaxel | 2 | Active, not recruiting |
LuTectomy (NCT04430192) | 177Lu-PSMA-617 before radical prostatectomy and pelvic lymph node dissection | 1/2 | Active, not recruiting |
LuPSMA (ACTRN12615000912583) | 177Lu-PSMA-617 in mCRPC | 2 | Complete |
TheraP (NCT03392428) | 177Lu-PSMA617 versus cabazitaxel in mCRPC | 2 | Complete |
PSMAfore (NCT04689828) | 177Lu-PSMA-617 vs. change in ART in taxane-naïve mCRPC | 3 | Active, not recruiting |
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Hameed, M.Y.; Gul, M.; Chaudhry, A.; Muzaffar, H.; Sheikh, M.; Chee, W.; Ayyash, S.; Ayyash, J.; Al-Hindi, M.; Shahare, H.; et al. From Oncogenesis to Theranostics: The Transformative Role of PSMA in Prostate Cancer. Cancers 2024 , 16 , 3039. https://doi.org/10.3390/cancers16173039
Hameed MY, Gul M, Chaudhry A, Muzaffar H, Sheikh M, Chee W, Ayyash S, Ayyash J, Al-Hindi M, Shahare H, et al. From Oncogenesis to Theranostics: The Transformative Role of PSMA in Prostate Cancer. Cancers . 2024; 16(17):3039. https://doi.org/10.3390/cancers16173039
Hameed, Muhammad Y., Maryam Gul, Abbas Chaudhry, Huma Muzaffar, Mubashir Sheikh, Winson Chee, Sondos Ayyash, Jenna Ayyash, Mohannad Al-Hindi, Humam Shahare, and et al. 2024. "From Oncogenesis to Theranostics: The Transformative Role of PSMA in Prostate Cancer" Cancers 16, no. 17: 3039. https://doi.org/10.3390/cancers16173039
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September is recognized as Prostate Cancer Awareness Month, designed to promote increased awareness, education, and research on one of the most common forms of cancer. An estimated 13 out of every 100 American men will develop prostate cancer in their lifetime, and the risk increases with age.¹
In addition to how common prostate cancer is compared to other cancers, its incidence continues to increase. According to the US Centers for Disease Control and Prevention (CDC), there were 236,659 new cases of prostate cancer in 2021 and 33,363 prostate cancer-related deaths in 2022.² The National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program estimates higher totals for 2024: 299,010 cases and 35,250 deaths.³ This would make prostate cancer the second most common cancer in the US in 2024, after breast cancer.
Because it often is slow-growing, prostate cancer has one of the highest 5-year survival rates of any cancer at 97.5%.³ Still, with prostate cancer incidence on the rise, awareness of and education about risk factors and screening remain vital. What is the history of prostate cancer, when was the first Prostate Cancer Awareness Month, and what has been the impact of this campaign?
The prevalence of prostate cancer in past centuries is unclear. The oft-cited first case described as prostate cancer was reported in 1853, documented by London surgeon John Adams in a patient who had died 3 years after the onset of the disease. 4 However, in a study published in the International Journal of Paleopathology in 2011, researchers reported finding lesions on a Ptolemaic Egyptian male mummy suggestive of osteoblastic secondary cancer, with a distribution pattern that suggested origin within the prostate. 5
The fight to cure prostate cancer began much later, after Marie and Pierre Curie discovered radium and polonium in 1898; a decade later, Henri Minet published a paper describing treating patients with prostate cancer by inserting tubes containing radium through urethral or suprapubic catheters. 4 Internal radiation therapy was not a popular treatment option because it was a difficult procedure for clinicians to perform, and it was painful for patients. The first radical prostatectomy was performed in 1904 by Hugh Hampton Young, who reported 15 successful recoveries out of the 19 prostatectomies he performed using a transperineal approach.
In 1938, prostate-specific acid phosphatase was discovered. It was the first biomarker that health care professionals found useful for diagnosing prostate cancer, though it was only helpful for identifying metastatic disease . 4 A few years later, in 1941, Charles Huggins and Clarence V. Hodges made a major leap forward in treatment when they demonstrated that estrogen injections could delay the progression of prostate cancer. Another leap forward occurred in 1945, when Terrence Millin reported a new prostatectomy technique that used a retropubic approach, which provided a more accessible route to the pelvic lymph nodes that were used to stage the disease. 4 This technique remained a part of prostate cancer treatment for decades after.
As radiation therapy advanced, so did techniques for prostate cancer treatment. In 1965, researchers reported the results of using external beam radiotherapy (EBRT) to treat 81 patients with prostate cancer that was inoperable but had not spread to distant organs. 4 The 5-year survival rate was 54%, which was an impressive rate for that era. 4
The 1980s and 1990s saw a notable increase in prostate cancer incidence. According to the CDC, from 1980 to 1988 the age-adjusted incidence rate of prostate cancer in the US rose by 8% among Black men and 30% among White men. 6 The increase in incidence, particularly in the early 1990s, has been attributed to the widespread introduction of prostate-specific antigen (PSA) screening, which led to an increase in early detection. 7 This meant finding prostate cancers when they were more likely to be successfully treated, which improved the mortality rate.
Advances in chemotherapeutic treatment options, such as mitoxantrone and docetaxel , also helped reduce mortality rates in the mid-1990s and early 2000s. 4 The development of laparoscopic prostatectomy procedures in the 1990s and robotic-assisted prostatectomy in 2001 also improved outcomes. In addition, recent advances in EBRT now allow for more specific and accurate dose planning.
September was officially named National Prostate Cancer Awareness Month in the United States by President George W. Bush in September 2003. 8 Bush’s proclamation referenced the importance of using screening for early detection, and urged men (particularly those age 50 years and older) to discuss preventive screening with their health care professionals.
Increased awareness and earlier detection of prostate cancer have substantially improved the prognosis of the disease. In an older report, the CDC estimated that in 1992 132,000 men would be diagnosed with prostate cancer and 34,000 men would die from it. 6 The SEER program estimates that in 2024, there will be a similar number of mortalities (35,250) but a much higher incidence (299,010).¹ According to the American Cancer Society’s Cancer Facts & Figures 2024 report, the prostate cancer mortality rate in the US fell from a peak of 39.3 per 100,000 men in 1993 to 18.8 per 100,000 men in 2017. 9 Based on 2018 to 2022 data, the present age-adjusted mortality rate is 19.0 per 100,000 men per year. 3
Greater awareness and knowledge of prostate cancer has also helped improve or maintain the quality of life for patients diagnosed with early stage disease. Many prostate cancers grow slowly or not at all. 2 Active surveillance, which entails closely monitoring the disease until active treatment is deemed necessary, was developed as an option for patients with lower-risk, early stage prostate cancer. 4 This approach is based on evidence that suggested deferring treatment in this manner does not decrease survival rates among patients with lower-risk prostate cancer. 4 It allows patients to avoid potentially unnecessary treatments and adverse effects.
The focus on early detection of prostate cancer remains crucial because in recent years, the incidence rates have started to steadily increase. According to the American Cancer Society, since 2014 the overall prostate cancer incidence rate has increased by 3% per year, including by approximately 5% per year for advanced-stage disease. 9 Worldwide, there is concern that this trend will continue. In 2024, The Lancet Commission on prostate cancer projected that globally, prostate cancer cases would increase from 1.4 million in 2020 to 2.9 million in 2040. 10 Annual deaths were estimated to increase from 375,000 in 2020 to nearly 700,000 in that same timeframe. Many of these cases and deaths are projected to occur in low- and middle-income countries, and the increase may be attributed in part to aging populations. 10
These projections show that despite all of the strides made in screening and treatment, Prostate Cancer Awareness Month remains an essential campaign.
References:
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Although prostate cancer is a common occurrence among males, the relationship between existing risk prediction models remains unclear. The objective of this hospital-based retrospective study is to investigate the impact of polygenic risk scores (PRSs) on the incidence and prognosis of prostate cancer in the Han Chinese population. A total of 24,778 male participants including 903 patients with prostate cancer at Taichung Veterans General Hospital were enrolled in the study. PRS was calculated using 269 single nucleotide polymorphisms and their corresponding effect sizes from the polygenic score catalog. The association between PRS and the risk prostate cancer was evaluated using Cox proportional hazards regression model. Among the 24,778 participants, 903 were diagnosed with prostate cancer. The risk of prostate cancer was significantly higher in the highest quartile of PRS distribution compared to the lowest (hazard ratio = 4.770, 95% CI = 3.999–5.689, p < 0.0001), with statistical significance across all age groups. Patients in the highest quartile were diagnosed with prostate cancer at a younger age (66.8 ± 8.3 vs. 69.5 ± 8.8, p = 0.002). Subgroup analysis of patients with localized or stage 4 prostate cancer showed no significant differences in biochemical failure or overall survival. This hospital-based cohort study observed that a higher PRS was associated with increased susceptibility to prostate cancer and younger age of diagnosis. However, PRS was not found to be a significant predictor of disease stage and prognosis. These findings suggest that PRS could serve as a useful tool in prostate cancer risk assessment.
Polygenic hazard score is associated with prostate cancer in multi-ethnic populations, introduction.
Prostate cancer is the most prevalent cancer among men worldwide and ranks as the second leading cause of cancer-related mortality in men 1 . In Taiwan, there were 7,137 newly diagnosed cases of prostate cancer and 1538 deaths due to prostate cancer in 2019 2 . Although the exact etiology of prostate cancer remains unclear, studies have indicated that genetic and hereditary factors play a crucial role in disease development 3 , 4 . Genome-wide association studies (GWAS) have identified over 100 susceptibility loci for prostate cancer, which collectively account for 28.4% of the familial relative risk of prostate cancer 5 .
Previous studies have identified several common genetic polymorphisms that are associated with the risk of developing prostate cancer, but the relative risk conferred by each loci remains low to modest 6 . Consequently, the concept of the polygenic risk score (PRS) has been introduced. PRS is a composite score that incorporates the presence or absence of multiple genetic variants associated with prostate cancer. By weighting the influence of each single nucleotide polymorphism (SNP) and summing these SNPs into a PRS, researchers can assess the cumulative contribution of these variants to disease prevalence and incidence in population 7 . For instance, men in the ninetieth to ninety-ninth percentiles of PRS would have a 2.69-fold increased risk of developing prostate cancer compared to the population average, and this risk would further increase to 5.71-fold for men in the first percentile 8 . Currently, the predictive value for the area under the curve (AUC) in prostate cancer using PRS alone ranges from 0.56 to 0.67. When combined with established clinical markers, the AUC increases significantly to a range of 0.886–0.880 9 . PRS has been found to be a significant predictor of prostate cancer risk, with higher scores associated with an increased risk of developing the disease.
The application of PRS has shown variations among different ethnic groups. A meta-analysis of trans-ancestry GWAS studies revealed that the top decile of PRS was associated with a 5.06-fold increased risk of prostate cancer in men of European ancestry, while it was 3.74-fold in men of African ancestry 5 . Furthermore, the relative risk was 4.47-fold for men of East Asian ancestry in the same cohort. However, most PRS models have been developed based on GWAS data primarily collected from Caucasian and European populations 10 . Another multi-ethnic cohort study conducted by the PRACTICAL Consortium found that Asian men at the 98th percentile of PRS, compared to those at the 30–70th percentile, had hazard ratios of 3.77 and 4.14 for overall prostate cancer and aggressive prostate cancer development, respectively 11 . Despite the significant results for the Asian population in this study, only a small proportion of participants were of Asian ethnicity. There have been studies on ancestry-specific PRS for the Asian population as well. For instance, Song et al. developed a PRS using 83 candidate SNPs that showed significant association with prostate cancer, enabling the prediction of clinically significant prostate cancer susceptibility in the Korean male population 12 . Akamatsu et al. conducted a study using a PRS derived from the genotypes of 16 common variants, along with sequencing of 8 prostate cancer-associated genes. They found that a high PRS had a comparable impact on biopsy positivity to a positive magnetic resonance imaging finding in Japanese patients with prostate-specific antigen (PSA) levels between 2 and 10 ng/mL 13 . The utilization of ethnicity-specific PRS can be beneficial in predicting prostate cancer incidence within a given population.
Understanding the role of genetics factor, particularly PRS, in prostate cancer risk, clinical outcomes and prognosis has significant clinical implications. Moreover, PRS has been proposed not only as a tool for predicting disease incidence but also for reducing overdiagnosis by identifying potentially lethal prostate cancer 14 . The aim of our study is to investigate the association between PRS and prostate cancer susceptibility in the Asian population, as well as analyze the impact of genome-wide susceptibility variants on clinical outcomes and prognosis of prostate cancer patients in a Han Chinese population.
Study population.
This hospital-based retrospective cohort study was conducted with the participation of 58,091 Taiwanese individuals aged 20 years or older. The study utilized data from the Taiwan Precision Medicine Initiative (TPMI) project, overseen by Academia Sinica in Taiwan, and took place from June 2019 to May 2021. The study cohort consisted of 903 patients who were identified using the international Codes of Diseases–Ninth Revision–Clinical Modification (ICD-9-CM) code 185, and their genetic profiles were linked to medical claims data from TCVGH. All participants (24,778 males), including 903 prostate cancer patients, were followed for recurrence and mortality until the end of available follow-up period, which extended from January 2009 to January 2022. This comprehensive dataset of TPMI included demographic information, procedures, diagnoses, surgeries, and medication prescriptions. All participants underwent genotyping using the Affymetrix Genome-Wide TWB 2.0 SNP Array. The study was approved by the ethics committee of the TCVGH Institutional Review Board (IRB No. CE23119A), and all participants provided informed consent. All methods were performed in accordance with the relevant guidelines and regulations. Only male participants were included in the analysis. Clinical parameters were obtained from the dataset and electronic medical records from TCVGH using de-identification method.
This study collected blood samples from all participants to extract DNA and conducted genotyping using the Axiom Genome-Wide TWB 2.0 Array Plate (Affymetrix, Santa Clara, CA, USA) , which contains 714,431 SNPs and is designed specifically for Taiwan’s Han Chinese population 15 . Analysis and quality control were performed using Affymetrix Power Tools software, and markers that failed Hardy–Weinberg equilibrium tests with a P < 1.0 × 10 –5 , had a minor allele frequency < 0.05, or had a genotype missing rate of > 5% were excluded. After quality control, a total of 591,048 SNPs were retained for analysis. The use of high coverage GWAS SNP data from large-scale Han Chinese ancestry in Taiwan using custom arrays has been previously described 16 . The samples with a missingness rate > 0.02, an inbreeding coefficient > 0.15, and those with a sex mismatch were removed. Genotype imputation was carried out across the autosomal chromosomes using the Michigan Imputation Server, which implemented the ‘minimac4’ algorithm 17 . Strand-aligned genotype data were loaded into the server. We performed the imputation using the 1000 Genomes Phase 3 (Version 5) reference panel 18 . All biallelic variants with imputation quality threshold of INFO score ≥ 0.3 were reported.
PRS was calculated by using the ‘score’ function from plink version 1.9 to aggregate the effects of multiple genetic variants weighted by their effects size 19 . The PRS used in this study, PGS000662, was derived from a discovery analysis of 269 variants associated with prostate cancer identified from Trans-ancestry GWAS meta-analyses, including East Asian ancestry case–control analysis 5 . The list of SNPs and effect sizes were downloaded from the Polygenic score (PGS) catalog 20 . PGS000662 was normally distributed among both the cases and non-cases groups (Supplementary Fig. 1 ).
Patients diagnosed with prostate cancer were identified based on International Classification of Disease, Ninth Revision (ICD-9-CM) code 185, along with pathological proof. The index date was defined as the date of prostate cancer diagnosis, which was determined using the ICD-9-CMcode 185, recorded at least twice during outpatient visits or once during hospitalization between January 2009 and January 2022. All participants with the prostate cancers were incident cases and had not undergone regular follow-up prior to their cancer diagnoses. The study extracted relevant biochemical, lifestyle data and death files from the TCVGH database, and evaluated several covariates including sex, age, comorbidities and smoking. We obtained comorbidity information from the electronic health records of TCVGH based on ICD-9 diagnostic codes for hypertension (ICD-9-CM code 401–405), diabetes mellitus (ICD-9-CM code 250) and hypertension (ICD-9-CM code 401–405) were identified if the diagnostic code was used once during admission or at least twice in the outpatient service. Smoking status was dichotomized into former/current smokers and non-smokers. The incidence of prostate cancer among male participants was analyzed as the first step. Subsequently, the genetic profile was correlated with clinical parameters such as age at diagnosis, PSA levels, clinical stage and Gleason grading. The risk of prostate cancer was categorized based on the D’Amico risk classification 21 . Outcome evaluations included all-cause mortality and prostate cancer specific mortality.
Hazard ratios (HRs) and 95% confidence interval (95% CI) were calculated using Cox proportional hazards regression models, with time since study entry serving as the designated timescale. Outcomes were censored if a participant was lost to follow-up or died, or if the end of available follow-up was reached (November 2022). The demographic data are shown as mean ± standard deviation (SD) for continuous variables. An analysis of variance (ANOVA) for continuous variables, while categorical variables were presented as number (percent) and analyzed using Chi-square test. The PRS was assessed as a categorical variable, categorized into four groups based on quartiles of PRS values, namely Q1 (0–25%), Q2 (26–50%), Q3 (51–75%), and Q4 (76–100%). All statistical analyzes were conducted using SAS version 9.4. (SAS Institute Inc. Cary NC) and IBM SPSS statistical software for Windows, version 22.0 (IBM corp., Armonk, NY, United States).
Among the 57,257 participants from the TPMI project in TCVGH, a total of 24,778 male participants were included in the analysis. Among them, 903 patients diagnosed with prostate cancer were enrolled, and no data was missing for these participants (Fig. 1 ). Among the patients with prostate cancer, 508 individuals with clinically localized prostate cancer underwent radical prostatectomy, 156 cases of biochemical recurrence and 352 cases without recurrence. Additionally, there were 143 patients had metastatic disease at diagnosis, 416 patients had localized low-intermediate risk prostate cancer, and 344 patients had localized high risk prostate cancer (Fig. 1 ). Throughout the follow-up period, there were 103 fatalities recorded. Table 1 presents the basic demographic characteristics of the entire cohort. Compared with non-prostate cancer patients, prostate cancer patients exhibit a significantly higher mean age of 75.72 years. The average score of PGS000662 was significantly higher in patients with prostate cancer than in non-prostate cancer patients (− 1.53 vs. − 2.09, p < 0.0001). Additionally, this group demonstrates lower incidences of diabetes mellitus (24.14% vs. 33.45%, p < 0.0001) and hyperlipidemia (23.48% vs. 38.64%, p < 0.0001), yet a higher prevalence of smoking (51.38% vs. 45.02%, p = 0.0002). The mortality analysis reveals that prostate cancer patients have significantly higher all-cause death rates (11.41% vs. 4.55%, p < 0.0001). The patients had a median follow-up duration of 9.63 years (interquartile range [IQR] 5.98–12.52) among those diagnosed with prostate cancer, and 9.4 years (IQR 4.94–12.52) among those without prostate cancer.
Flow chart for enrolled participants in the study. Among the 57,257 participants from the TPMI project in TCVGH, a total of 24,778 male participants were included in the analysis, with 903 patients diagnosed with prostate cancer as cases and controls. Among the patients with prostate cancer, 143 patients had metastatic disease at diagnosis, 416 patients had localized low-intermediate risk prostate cancer, and 344 patients had localized high-risk prostate cancer.
The participants were categorized into four groups (Q1–Q4) by quartile of PRS. The characteristics of the four quartiles of PRS among the 903 prostate cancer patients are presented in Table 2 . The diagnosis age was found to be significantly younger in Q4 (Q1, 69.5 ± 8.8 years old; Q2, 68.0 ± 7.9 years old; Q3, 69.3 ± 8.1 years old; Q4, 66.8 ± 8.3 years old, p = 0.002). The patients were confirmed as developing prostate cancer with a median follow-up time of 10.28 years (IQR 6.01–12.54) in Q1, 9.25 years (IQR 5.76–12.64) in Q2, 9.92 years (IQR 6.41–12.67) in Q3 and 8.83 years (IQR 5.90–12.05) in Q4, respectively. However, there was no statistically significant association between the four quartiles of PRS and the disease severity, as indicated by PSA level [Q1–Q4: median 13.4, interquartile range (IQR) 6.3–35.6 ng/ml; median 11.8, IQR 72–33.8 ng/ml; median 12.3, IQR 6.7–27.8 ng/ml; median 15.4, IQR 8.0–53.1 ng/ml, p = 0.07], clinical stage (stage I to stage IV, p = 0.71), Gleason grade (grade 1, 2 + 3, 4 + 5, p = 0.23) and Risk classification (low-intermediate, high, metastatic, p = 0.55). A total of 103 patients expired during the follow-up period, and 72 of them expired due to prostate cancer. There was no statistically significant association observed among the four quartiles in terms of all-cause death ( p = 0.73) or cancer-specific death ( p = 0.29) (Table 2 ).
The relationship between PGS000662 and the prostate cancer using Cox proportional hazard re-gression models, adjusted hazard ratios were calculated for prostate cancer risk factors and polygen-ic risk score in relation to the occurrence of first-onset prostate cancer outcomes. As shown in Table 3 , the baseline characteristics of participants along with HRs for prostate cancer, adjusted for risk factors. Age significantly elevates prostate cancer risk (HR = 1.070, P < 0.0001), while histories of hypertension and diabetes mellitus are associated with a decreased risk (HRs of 0.897 and 0.665, respectively, both P < 0.0001). Hyperlipidemia exhibits a notable protective effect against prostate cancer (HR = 0.476, P < 0.0001). Conversely, cigarette smoking marginally increases the risk (HR = 1.113, P = 0.0413), and a family history of the disease does not significantly alter risk levels (HR = 0.85, P = 0.1956). PGS000662 was normally distributed (Supplementary Fig. 1 ), and exhibited an association with prostate cancer, showing HRs of 2.254 (95% CI = 2.108–2.410, p < 0.001) after adjustment for potential confounders.
The development of prostate cancer increased with higher quartiles of PRS, with rates of 2.42%, 3.91%, 6.15% and 11.03% in Q1 to Q4, respectively ( p < 0.0001, Supplementary Table 1 ). The risk of incident prostate cancer was significantly higher in Q4 compared to Q1 (HR = 4.770, 95% CI = 3.999–5.689, p < 0.0001) by using Cox proportional regression analysis, as shown in Table 4 . After stratification by age group, the prostate cancer incidence remained higher in Q4 compared to Q1 in different age groups, including age ≤ 50 years old (HR = 9.247, 95% CI = 1.171–72.984, p = 0.0348) and age > 50 years old (HR = 4.755, 95% CI = 3.984–5.675, p < 0.0001), age ≤ 60 years old (HR = 5.417, 95% CI = 3.174–9.246, p < 0.0001) and age > 60 years old (HR = 4.731, 95% CI = 3.925–5.702, p < 0.0001), and age ≤ 70 years old (HR = 5.193, 95% CI = 4.061–6.641, p < 0.0001) and age > 70 years old (HR = 4.485, 95% CI = 3.482–5.778, p < 0.0001) (Table 4 ).
Then, we utilized both univariate and multivariate Cox proportional hazards models to assess the risk of survival outcomes among study populations. As shown in Table 5 , distinguishing between Gleason grades 2 + 3 and 4 + 5, showing a significant increase in risk for higher grades in the univariable model (HR = 3.66 for 4 + 5, p < 0.0001), but not in the multivariable model. The results in Table 5 indicate that there was no statistically significant association between the top quartile (Q4) of PRS compared to the bottom quartile (Q1) of PRS with all-cause death (Q4 vs. Q1, HR = 0.895, 95% CI = 0.519–1.543, p = 0.689) or cancer-specific death (Q4 vs. Q1, HR = 0.585, 95% CI = 0.291–1.176, p = 0.132) with Cox regression univariate analysis. Similarly, Cox regression multivariate analysis revealed a no statistically significant association between all-cause death (Q4 vs. Q1, HR = 0.817, 95% CI = 0.458–1.457, p = 0.493), cancer death (Q4 vs. Q1, HR = 0.473, 95% CI = 0.223–1.001, p = 0.0504) and PRS. Adjusted hazard ratios were calculated for age at baseline, Gleason grade, clinical stage, PRS, and cause of death.
In a subgroup analysis, we focused on 508 patients with localized prostate cancer who underwent radical prostatectomy (Supplementary Fig. 2 .) and compared the demographic characteristics between PRS groups (Table 6 ). A median follow-up duration of 9.18 years (IQR 5.34–12.39) in Q1, 7.90 years (IQR 5.61–12.02) in Q2, 8.85 years (IQR 5.78–12.41) in Q3 and 8.85 years (IQR 6.24–11.56) in Q4, respectively. There was no significant difference in diagnosis age among the four quartile groups ( p = 0.12). Among these patients, 156 patients experienced biochemical failure.
Compared with participants in Q1, participants in the highest quartile (Q4) had higher risk of incident prostate cancer ( p < 0.0001) (Fig. 2 ).
Cumulative incidence rate of prostate cancer in the entire cohort by PRS group.
Figure 3 displays the Kaplan–Meier survival curve for overall mortality of the 24,778 male participants (Fig. 3 A) and the 903 patients diagnosed with prostate cancer (Fig. 3 B), respectively. Both Kaplan–Meier survival curves showed no significant differences in all-cause death among the four groups ( p = 0.39 and p = 0.55, respectively). Figure 4 displays the Kaplan–Meier survival curve for the 508 patients who received radical prostatectomy, and no significant differences were observed in terms of biochemical failure among the four groups (Median biochemical failure time: Q1 to Q4: 41.4, 47.0, 47.9 and 51.0 months, respectively, p = 0.27).
The overall mortality (Kaplan–Meier survival curve) for the 24,778 male participants ( A ) and 903 patients ( B ) diagnosed with prostate cancer, respectively. The median overall survival is not reached within the follow-up period.
The Kaplan–Meier survival curve was used to analyze the biochemical failure outcomes of 508 patients who underwent radical prostatectomy. No statistically significant differences were observed among the four groups by quartiles of polygenic risk score. The median times to biochemical failure for patients in quartiles 1–4 were 41.4, 47.0, 47.9, and 51.0 months, respectively ( p = 0.27).
Furthermore, we conducted a survival analysis of 170 patients diagnosed with stage four prostate cancer who underwent hormone therapy (Table 7 ). A median follow-up duration of 8.28 years (IQR 4.90–10.91) in Q1, 7.93 years (IQR 5.19–10.99) in Q2, 8.67 years (IQR 4.22–11.52) in Q3 and 6.94 years (IQR 4.13–10.69) in Q4, respectively. There was no significant for the diagnosis age among the four quartile groups ( p = 0.7). Out of this group, 45 individuals passed away during the follow-up period. Figure 5 showed the Kaplan Meier survival curve for the 170 patients with stage four prostate cancer, and no significant differences were observed in terms of all-cause death among the four groups (Median overall survival time: Q1–Q4: 46.5, 46.4, 40.3 and 44.2 months, respectively, p = 0.99).
The Kaplan–Meier survival curve was used to analyze the overall survival outcomes of 170 patients with stage four prostate cancer. No statistically significant differences were observed among the four groups in terms of all-cause death by quartiles of polygenic risk score. The median overall survival times for patients in quartiles 1–4 were 46.5, 46.4, 40.3, and 44.2 months, respectively ( p = 0.99).
Our study aimed to utilize the PRS method to investigate the association between disease associated variants identified in GWAS and prostate cancer susceptibility and prognosis in Han Chinese individuals from TCVGH-TPMI cohort. We observed that individuals in the top quartile of PRS had a significantly higher risk of prostate cancer compared to those in the bottom quartile. Furthermore, the higher PRS was associated with early onset of prostate cancer. However, we did not find any correlation between PRS and tumor aggressiveness as determined by tumor stage, PSA levels and Gleason score. Additionally, PRS was not predictive of treatment outcomes in patients with localized prostate cancer who received radical prostatectomy or in patients with stage four prostate cancer who were treated with hormone therapy.
The PRS, PGS000662, used in our study consisted of 269 SNPs and was developed by Conti et al. in a trans-ancestry study that included GWAS data from 107,247 cases and 127,006 controls. This PRS comprised 269 single nucleotide polymorphisms (SNPs) and was developed using data from 12 large cohorts of cases and controls, encompassing individuals from various ancestries, including European, African American or Afro-Caribbean, African unspecified, East Asian, and Hispanic or Latin American backgrounds 5 . Conti et al. identified 86 new genetic risk variants independently associated with prostate cancer risk, in addition to the 269 known risk variants. Their PRS has been extensively validated in various cohort studies, consistently demonstrating its predictive value across different populations. In their original research, they found that PRS 90–100% compared to 40–60% increased risk of prostate cancer (OR = 4.47, 95% CI = 3.52–5.68) in EAST Asia. Furthermore, the risk was notably elevated among individuals with a PRS of 99–100% (OR = 9.41, 95% CI = 5.6–15.82).
Conti’s PRS has been utilized in several cohort study with consistent results. For instance, Plym et al. 22 found that men with higher PRS scores, particularly when combined with a family history of prostate or breast cancer, exhibited significantly increased risks of prostate cancer and prostate cancer-specific death. Furthermore, Plym et al. utilized Conti's PRS to examine different ancestries and reported increased prostate cancer risk in European (PRS 90–100% vs. 40–60%, OR = 3.89, 95%CI = 3.24–4.68) and African ancestry populations but no Asian population (PRS 90–100% vs. 40–60%, OR = 3.81, 95%CI = 1.48–10.19). Additionally, Plym et al. found that men in the top quartile of PRS, along with a family history of prostate or breast cancer, had the highest risk of prostate cancer (HR = 6.95, 95% CI = 5.57–8.66) and prostate cancer-specific death (HR = 4.84, 95% CI = 2.59–9.03) compared to men in the bottom quartile with no family history 23 . Furthermore, they reported that by the age of 85, the cumulative incidence of prostate cancer was 7.1% in the bottom decile and 54.1% in the top decile for European American men 22 . In addition to Conti’s 269 PRS, Chen et al. 24 identified nine novel susceptibility loci for prostate cancer in African men, which were strongly associated with prostate cancer risk and aggressive disease in African ancestry populations (PRS 90–100% vs. 40–60%, OR = 3.19, 95% CI = 3.00–3.40). Our study is the first and largest GWAS cohort to examine Conti’s 269 PRS in Han Chinese individuals (PRS Q4 vs. Q1, HR 4.770, 95% CI = 3.999–5.689) and found similar predictive value as observed in European and African ancestries.
To the best of our knowledge, the first PRS for prostate cancer was conducted in 2008, utilizing five SNPs among the Swedish population. Incorporation of this PRS and family history accounted for 46% of prostate cancer cases with an odds ratio of 9.46 25 . Subsequently, numerous studies investigating genetic factors and prostate cancer susceptibility have been published. Nordstrom et al . also reported the potential application of PRS in predicting prostate cancer risk in individuals with PSA levels between 1 and 3 ng/ml 26 . Another cohort study evaluating pathogenic variants in 14 prostate cancer susceptibility genes and 72 validated prostate cancer-associated SNPs further confirmed the predictive value and potential clinical utility of PRS for risk assessment in addition to family history 27 . In conclusion, Siltari et al . summarized a total of 16 PRS prostate cancer studies involving 9 to 448 SNPs, and found that the ability of PRS to identify men with prostate cancer was modest [pooled AUC 0.63, 95% CI 0.62–0.64], and could be improved when combined with clinical variables (AUC 0.74, 95% CI 0.68–0.81) 28 .
In Ho et al., the PGS000662 demonstrated excellent performance in predicting prostate cancer for Han Chinese, with an area under the receiver operating characteristic curve (AUC) of 0.7 29 . Similarly, in this study, the predictive value of PGS000662 for prostate cancer was 0.685 (95% CI = 0.427–0.732) (Supplementary Fig. 3 ). In comparison to the study by Ho et al., our study includes a larger number of male participants (24,778 vs. 9,610) and prostate cancer cases (903 vs. 308). However, we did not observe any significant correlation between the polygenic risk score (PRS) and disease aggressiveness or treatment prognosis. This finding is consistent with previous studies suggesting that while PRS may be associated with disease incidence, it does not necessarily provide predictive value for aggressive disease or cancer-related mortality beyond prostate-specific antigen (PSA) level 30 , 31 . Possible reasons for this lack of correlation include confounding factors such as cancer stage, early cancer screening practices, or treatment availability. Although we specifically focused on localized prostate cancer cases that received radical prostatectomy and stage 4 prostate cancer cases, our sample size for these analyses was limited (508 and 170, respectively). Further large-scale analyses would be beneficial for more robust conclusions.
The incidence of prostate cancer is notably lower in Asian countries compared to Western populations 32 . The discrepancy may be attributed to the lack of systemic PSA screening; however, genetic ethnicities could potentially account for the significant differences in prostate cancer incidence. Zhu et al . conducted a Chinese cohort study comprising 176 cases and 548 controls, which identified 24 prostate cancer-associated SNPs and revealed that the genetic score was able to predict prostate cancer risk in the overall population as well as in individuals aged 60–70 years 33 . Another Chinese cohort study conducted by Na et al . compared seven prostate cancer risk-associated SNPs implicated in East Asians with seventy-six prostate cancer risk-associated SNPs implicated in at least one racial group. They found that the former set of SNPs demonstrated better predictive performance for prostate cancer (AUC 0.602 vs. 0.573, respectively) 34 . Notably, although most PRS studies have been developed in Western countries, they have shown similar predictive performance in Asian populations 9 .
Furthermore, our study has revealed that in addition to supporting the association of PRS with prostate incidence, PRS is also significantly associated with disease development at a younger age. This finding aligns with previous research indicating that the relative risk of PRS for prostate cancer varies depending on age. For instance, Schaid et al . conducted refined analyses on a validated PRS for prostate cancer and reported significantly higher relative risks for younger men (relative risk of 2.56, age 30–55 years) compared with older men (relative risk of 1.86, aged 70–88 years) 35 . Similarly, Varma et al . demonstrated that machine learning algorithms incorporating PRS information and basic patient data could provide risk assessment in men younger than 55 years, for whom screening is not standard practice 36 . Moreover, Seibert et al . reported that PRS based on 54 SNPs was a highly significant predictor of age at diagnosis of aggressive prostate cancer 37 . Consistent with these findings, our study also observed that the diagnosis age in the top quartile of PRS was lower than that in the bottom quartile of PRS in our population (Table 2 ), and PRS had similar impacts across different age groups (Table 4 ).
Although there was a positive correlation between PRS and prostate incidence in our study population, we did not find any significant correlation between PRS and disease aggressiveness or treatment prognosis. This finding is consistent with a population-based study conducted by Klein et al . in Sweden, which shown that PRS was associated with incident of prostate cancer and prostate cancer death, but it did not provide additional utility beyond PSA 30 . Furthermore, the study by Schaffer et al ., which used PRS with 269 SNPs by Conti in a cohort of 655 men who underwent prostate biopsy, found that although PRS 269 improved the prediction of all prostate cancer cases, it did not improve the risk prediction of aggressive disease 31 .
The study by Ou et al . conducted in South Korea utilized a cohort design and demonstrated that a PRS incorporating sixteen SNPs was able to predict biochemical failure following radical prostatectomy. The 10-year biochemical-free survival rate was reported to be 46.3% in the high PRS group compared to 81.8% in the low PRS group 38 . However, another multi-center cohort study from Taiwan presented the opposite conclusions. Wang et al . found that PRS was associated with early onset age of prostate cancer in patients undergoing radical prostatectomy, but it did not predict disease recurrence 39 . Our own results were consistent with this finding, as we did not observe a predictive association between PRS and biochemical failure following radical prostatectomy. Furthermore, we also reported for the first time that PRS was not predictive of overall survival in stage four prostate cancer patients treated with hormone therapy. In contrast, a prospective cohort study conducted in the UK biobank setting, which considered mortality as an endpoint, found that PRS was superior in predicting incidence and mortality compared to family history and rare pathogenic mutation 40 . Despite the promising potential of PRS in predicting prostate cancer incidence and susceptibility, there is currently no consensus on its ability to predict prognosis or treatment outcomes. One possible explanation for this inconsistency is the significant impact of life-prolonging treatments such as androgen receptor targeted agents and chemotherapy on prostate cancer outcomes, which may reduce the contribution of genetic factors. Additionally, the widespread implementation of early screening programs for prostate cancer has resulted in the detection of cancers at earlier stages, thereby further reducing the cancer specific mortality rates in the population.
The value of germline genetic testing for prostate cancer screening strategies has been called into question, as it has not been shown to be superior to other validated biomarkers for prostate cancer prediction, such as PSA or Prostate Health Index 31 . In the BARCODE1 study, which enrolled 5000 men to access their genetic risk of prostate cancer, only 18 out of 25 participants in the top 10% of the PRS distribution underwent Magnetic Resonance Imaging and biopsy, and only seven cases diagnosed with prostate cancer (38.9%). Furthermore, all the identified cancers were low-risk and were managed with active surveillance 41 . As current prostate cancer risk SNPs were primarily designed to predict disease incidence, it may be necessary to expand the polygenic models to include rare coding variants that influence disease aggressiveness and outcome, such as DNA repair genes, in order to improve the prediction of lethal prostate cancer 42 , 43 .
This study has several limitations that should be acknowledged. Firstly, the sample size of the study was relatively small, and the follow-up period was not long enough, which may have limited the generalizability of our findings in terms of disease treatment and prognosis. Enrolled participants consisted of patients who visited our institute, thereby limiting the applicability of the findings to the general population. Furthermore, due to limitations in data collection, we were unable to obtain medical records from sources outside of the hospital where the study was conducted. Additionally, the family history records of prostate cancer patients included in this study were incomplete. This limitation could potentially be overcome by leveraging national-level data. Moreover, we did not include the treatment effects of novel hormone therapy and chemotherapy, which have been proven to be life-prolonging agents for metastatic prostate cancer, and their omission may confound our results. Additionally, the PRS utilized in our study was obtained from cross-ancestry GWAS, which may have potentially diminished its predictive efficacy 5 . A better approach would be to develop a GWAS-based PRS system specifically designed for the Taiwanese population. This can be accomplished by utilizing national-level data from the TPMI study cohort, which is conducted by Academia Sinica in collaboration with 13 medical center-level hospitals across Taiwan. By leveraging this extensive dataset, we can enhance the accuracy of disease incidence and prognosis prediction for the Taiwanese ethnic group. Finally, to develop PRS system not only for cancer incidence but also disease prognosis or drug selection would be helpful for clinician in their decision making and treatment approaches.
In this cohort study conducted in a hospital setting, we observed that individuals in the top quartile of PRS were more susceptible to prostate cancer and tended to be diagnosed at a younger age. However, we did not find any significant associations between PRS and disease stage, PSA level, Gleason grade, or D'Amico risk classification. Furthermore, PRS was not a reliable predictor of biochemical failure in localized prostate cancer patients treated with radical prostatectomy, nor overall death in stage four prostate cancer patients treated with hormone therapy. To further validate our findings, PRS scoring derived from a cohort with a longer follow-up, such as the TPMI cohort, would be preferable.
All data used in this study are available in this article. However, the individual-level PRS and prostate cancer information data are not currently available within the paper. However, we are committed to facilitating access to the data for interested researchers. To request access to the underlying data, please contact the corresponding author. We will provide further information regarding the availability and any necessary procedures for obtaining access, taking into account any ethical, legal, or privacy considerations associated with the data. We appreciate your understanding and patience in this matter.
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We thank all of the participants and investigators from the Taiwan Precision Medicine Initiative, which was funded by Academia Sinica (40-05-GMM; AS-GC-110-MD02; 236e-1100202), and National Development Fund, Executive Yuan [NSTC 111-3114-Y-001-001]. The authors sincerely appreciate the assistance of the Center for Translational Medicine of Taichung Veterans General Hospital.
This study was funded by Taichung Veterans General Hospital, Taiwan [grant numbers TCVGH-TCVGH-1127304B, TCVGH-1135003B and TCVGH-1137302B].
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Department of Urology, Taichung Veterans General Hospital, Taichung, Taiwan
Sheng-Chun Hung, Li-Wen Chang, Shian-Shiang Wang & Jian-Ri Li
Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
Sheng-Chun Hung, Li-Wen Chang & Jian-Ri Li
Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
Tzu-Hung Hsiao, Chia-Yi Wei & I-Chieh Chen
Department of Public Health, Fu Jen Catholic University, New Taipei City, Taiwan
Tzu-Hung Hsiao
Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung, Taiwan
Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan
Shian-Shiang Wang
Department of Medicine and Nursing, Hungkuang University, Taichung, Taiwan
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Study design and protocol development: SCH, THH, JRL, ICC; manuscript writing and editing: SCH, ICC; statistical analysis: ICC, CYW; data collection and patient management: SCH, LWC, SSW, JRL; supervision or mentorship: SCH, LWC, THH, CYW, SSW, JRL and ICC. All authors reviewed the final manuscript.
Correspondence to I-Chieh Chen .
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The authors declare no competing interests.
The studies involving human participants were reviewed and approved by certification at Taichung Veteran General Hospital, Taiwan, with Certification of approval with IRB: CE23119A. The patients/participants provided their written informed consent to participate in this study.
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Hung, SC., Chang, LW., Hsiao, TH. et al. Predictive value of polygenic risk score for prostate cancer incidence and prognosis in the Han Chinese. Sci Rep 14 , 20453 (2024). https://doi.org/10.1038/s41598-024-71544-7
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Physician attitudes about using life expectancy to inform cancer screening cessation in older adults-results from a national survey., cancer screening in older adults: individualized decision-making and communication strategies., related papers.
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In this article: , when prostate cancer is confined to the prostate, there is an almost 100% chance that it can be cured with treatment., the prostate-specific antigen (psa) test is a good first step in screening for cancer. doctors can also use other tests to determine if a man likely has cancer., men who are at average risk for prostate cancer should start screenings at age 50. .
In the United States, about one in eight men will be diagnosed with prostate cancer in their lifetime. Other than skin cancer, it’s the most common cancer for men in this country. Fortunately, diagnostic tests have advanced tremendously in recent years, which means men who have prostate cancer are much more likely to catch it early. That increases their chance for a cure.
The prostate is a walnut-shaped gland in males that produces semen, the liquid that nourishes and transports sperm. The gland is located below the bladder and in front of the rectum, and it tends to grow larger as a man gets older.
The vast majority of prostate cancers are adenocarcinomas, which means they develop from the gland cells in the prostate. Many of them grow slowly and are confined to the prostate gland. “We tell patients that as long as the cancer is confined to the prostate, the likelihood of a cure is close to 100%,” says Mehran Movassaghi, M.D. , the division chief of urology and director for men’s health at Providence Saint John’s Health Center in Santa Monica, California.
In some cases, such as when a man is over 75 when he receives his diagnosis, active surveillance may be a better option than treatment. The cancer may be so slow-growing that the man would die from other causes before being affected by the cancer.
The screening test that is most closely associated with prostate cancer is the prostate-specific antigen (PSA) test. PSA is a protein produced by the prostate and found mostly in semen.
“PSA has nothing to do with prostate cancer,” says Dr. Movassaghi. “The only reason it was used as a screening tool is because men who have prostate cancer were found to have an elevated PSA level.”
Since doctors didn’t have any other method of screening for prostate cancer 10-20 years ago, they checked a man’s PSA level through a blood test. In the past, a PSA level of 3 or 4 was considered “normal” vs. “abnormal.” But extensive research has shown that high PSA test results don’t always mean there’s cancer— and a low level of PSA doesn’t always guarantee no cancer.
“Because the PSA test is not perfect, there was a while when primary care providers were no longer recommending that men undergo this screening,” says Dr. Movassaghi.
Over the past decade, however, more sensitive prostate cancer tests have been developed, including magnetic resonance imaging (MRI), blood tests and urine tests. “A PSA works really well as a first step,” says Dr. Movassaghi. “If a patient has an elevated PSA, then we will continue other kinds of testing to determine whether he should undergo a prostate biopsy for cancer.”
Another screening tool for prostate cancer is a digital rectal examination (DRE), during which a doctor inserts a gloved finger into the rectum and feels the back wall of the prostate gland for enlargement, hard spots, lumps or tenderness.
The American Cancer Society recommends that men talk to their health care provider about whether to be screened for prostate cancer. The discussion about screening should take place at:
Prostate cancer is a “disease of aging,” which means that the older a man becomes, the more likely he is to receive a prostate cancer diagnosis. However, there are other risk factors — in addition to age — that are also unavoidable:
That said, you can adopt a lifestyle that lowers your risk for prostate cancer. “More and more studies point toward adopting a Mediterranean diet,” says Dr. Movassaghi. That includes eating mostly vegetables, fruits and whole grains, focusing on plant-based foods and healthy fats.
Dr. Movassaghi also recommends participating in regular exercise, including 35 minutes of high-intensity activity every day. Not only can that prevent prostate cancer, he says, but it can also be good for men who already have prostate cancer. “A lot of times men who have prostate cancer feel like they have no control,” he says. “This is a way for them to regain control.”
Mehran Movassaghi, M.D. , is the division chief of urology and director for men’s health at Providence Saint John’s Health Center in Santa Monica, California.
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1. Background. Prostate cancer is the second-most prevalent cancer in men and was the fifth-most common cause of cancer-associated death among men in 2020 [1,2].Peripheral zone cancer accounts for 70% of cases, with transition and central zone cancers accounting for 20% and 10%, respectively [].Cancer cells may travel through the blood and lymphatic fluid, causing metastasis mostly commonly ...
Among 1000 men invited to undergo screening, approximately 5 will die from prostate cancer and 1.3 will avoid death from prostate cancer owing to screening in the 13-year period after initial ...
GÖTEBORG-2, which has been described previously, 20 is a large, population-based, randomized screening trial to evaluate several different research questions with regard to prostate cancer ...
Current research aims to improve prostate cancer detection, management and outcomes, including understanding the fundamental biology at all stages of the disease. ... Prostate cancer screening (on ...
Controversies. PSA screening can have several beneficial effects. Most men have a "normal" PSA value below the cut-off for further evaluation and up to 97% of men report some reassurance with PSA screening. 27 Screening can reduce a man's risk of developing metastatic prostate cancer and dying from the disease. 11,28 For every prevented death from prostate cancer, a life is lengthened by ...
Methods. PubMed was searched on 2 January 2023 for clinical trials, systematic reviews and meta-analyses with the terms "screening" AND "prostatic neoplasm" OR "prostate cancer" AND ("biopsy" OR "diagnosis" OR "mortality" OR "detection") published since 1 January 2018. Similar searches were done for the diagnostic ...
1. Introduction. Prostate cancer affects middle-aged men between the ages of 45 and 60 and is the highest cause of cancer-associated mortalities in Western countries [].Many men with prostate cancer are diagnosed by prostate biopsy and analysis, prostate-specific antigen (PSA) testing, digital rectal examination, magnetic resonance imaging (MRI), or health screening.
Objective: To investigate the efficacy and safety of prostate-specific antigen (PSA) testing to screen for prostate cancer. Design: Systematic review and meta-analysis. Data sources: Electronic search of Cochrane Central Register of Controlled Trials, Web of Science, Embase, Scopus, OpenGrey, LILACS, and Medline, and search of scientific meeting abstracts and trial registers to April 2018.
screening on prostate cancer mortality among 162,388 men 55 to 69 years of age.17,18 Planned screening involved assessment of PSA every 4 years with a biopsy-recommendation threshold of 3.0 ng
Conclusion: Prostate cancer screening has been a topic of robust discussion for a number of years. Research continues to examine novel options for prostate cancer screening to either replace or compliment the prostate specific antigen test, but require additional validation before they will be widely accepted into clinical practice ...
Desai and colleagues, 1 analyzing Surveillance, Epidemiology, and End Results data from 2004 through 2018, found significantly increasing incidence rates of metastatic prostate cancer (mPCa) among men aged 45 to 74 years (during the period 2010-2018) and among men ages 75 and older (during the period 2011-2018). In the earlier periods, incidence rates of mPCa disease were stable in younger men ...
### What you need to know What is the role of prostate-specific antigen (PSA) screening in prostate cancer? An expert panel produced these recommendations based on a linked systematic review.1 The review was triggered by a large scale, cluster randomised trial on PSA screening in men without a previous diagnosis of prostate cancer published in 2018 (box 1).2 It found no difference between one ...
Prostate cancer is a major health issue, with approximately 1·3 million new cases diagnosed worldwide every year. About 10 million men are presently living with a diagnosis of prostate cancer, and approximately 700 000 of these are living with metastatic disease. 1,2 Metastatic prostate cancer accounts for more than 400 000 deaths annually, and this mortality is expected to more than double ...
Full size image. Age, race, and family history are the strongest established risk factors for prostate cancer 11. On the basis of SEER data, the age-adjusted incidence per 100,000 men in 2014 was ...
Conclusions. These guidelines recommend that Black men should obtain information about PSA screening for prostate cancer. Among Black men who elect screening, baseline PSA testing should occur between ages 40 and 45. Depending on PSA value and health status, annual screening should be strongly considered.
Objective To provide a baseline comparative assessment of the main epidemiological features of prostate cancer in European populations as background for the proposed EU screening initiatives. Design Population based study. Setting 26 European countries, 19 in the EU, 1980-2017. National or subnational incidence data were extracted from population based cancer registries from the International ...
An exhaustive search was conducted by Pubmed, Google Scholar and Connected Papers using keywords relating to the genetics, genomics and artificial intelligence in prostate cancer, it includes ...
Advances in Prostate Cancer Research. Nanoparticles are tested as a means to deliver drugs to prostate cancer cells. NCI-funded researchers are working to advance our understanding of how to prevent, detect, and treat prostate cancer. Most men diagnosed with prostate cancer will live a long time, but challenges remain in choosing the best ...
The biparametric MRI used as a triage test in this study was associated with improved prostate cancer risk stratification and may be used to exclude aggressive disease and avoid unnecessary biopsies in 30% of men with clinical suspicion of prostate cancer, although further studies are needed to fully explore this new diagnostic approach. Expand
Between 1999 and 2009 in the United Kingdom, 82,429 men between 50 and 69 years of age received a prostate-specific antigen (PSA) test. Localized prostate cancer was diagnosed in 2664 men. Of these...
To find additional relevant research papers, we manually cross-checked the reference lists of all retrieved articles. The database searches used the subsequent as clinical concern heading phrases and medical text words: "Knowledge" (and) "Awareness" (and) "Practice" (and) "Screening" (and) "Prostate Cancer" (and) "English ...
Posted: April 23, 2018. In a small clinical trial, researchers compared the efficacy of a much lower dose of the cancer drug abiraterone (Zytiga) taken with a low-fat breakfast with a full dose taken on an empty stomach, as directed on the drug's label. FDA Approves Apalutamide for Some Men with Prostate Cancer.
Prostate cancer is a disease in which malignant (cancer) cells form in the tissues of the prostate. The prostate is a gland in the male reproductive system located just below the bladder (the organ that collects and empties urine) and in front of the rectum (the lower part of the intestine).It is about the size of a walnut and surrounds part of the urethra (the tube that empties urine from the ...
Prostate cancer, a leading cause of cancer-related mortality among men, is characterized by complex genetic and epigenetic alterations, dysregulation of oncogenic pathways, and a dynamic tumor microenvironment. Advances in molecular diagnostics and targeted therapies have significantly transformed the management of this disease. Prostate-specific membrane antigen (PSMA) has emerged as a ...
Microscopic and histological images of blood smears and prostate tissue biopsies—thin (2-5 µm) films, respectively: (a) and (d) show blood smears and prostate tissue at normal conditions; (b ...
In 2024, The Lancet Commission on prostate cancer projected that globally, prostate cancer cases would increase from 1.4 million in 2020 to 2.9 million in 2040. 10 Annual deaths were estimated to ...
The value of germline genetic testing for prostate cancer screening strategies has been called into question, as it has not been shown to be superior to other validated biomarkers for prostate ...
DOI: 10.1111/jgs.19177 Corpus ID: 272278826; Physician perspectives regarding over-screening for breast, colorectal, and prostate cancers in older adults. @article{Quinley2024PhysicianPR, title={Physician perspectives regarding over-screening for breast, colorectal, and prostate cancers in older adults.}, author={Morgan R. Quinley and Cynthia M. Boyd and Craig E. Pollack and Somnath Saha and ...
The American Cancer Society guidelines recommend that if no prostate cancer is found as a result of screening, the time between future screenings should depend on the results of the PSA blood test. For example, individuals with a PSA of less than 2.5 ng/mL may only need to be retested every two years.
The cancer may be so slow-growing that the man would die from other causes before being affected by the cancer. Screening for prostate cancer. The screening test that is most closely associated with prostate cancer is the prostate-specific antigen (PSA) test. PSA is a protein produced by the prostate and found mostly in semen.