Home Urine Collection for More Accurate Prostate Cancer Detection
|
By LabMedica International staff writers Posted on 09 Dec 2019 |

Image: Micrograph showing a prostate cancer (conventional adenocarcinoma) with perineural invasion (Photo courtesy of Wikimedia Commons)
A standardized sampling system enables men being tested for prostate cancer to collect a urine sample at home and mail it to a laboratory for analysis.
Currently, patient urine samples are collected after a digital rectal examination (DRE) of the prostate, which was thought necessary to boost the levels of prostatic secretions in the urine. The creators of the PUR (Prostate Urine Risk) test now report the development of a sampling system that provides indication of prostate cancer risk in urine samples collected at home, eliminating a visit to the clinic and the uncomfortable rectal examination.
The PUR test was established following evaluation of the cell-free expression of 167 genes in urine samples. Investigators at the University of East Anglia (Norwich, United Kingdom) identified a mathematical combination of 35 different genes that could be used to generate four prostate urine risk (PUR) signatures for predicting the probability of normal tissue (PUR-1), D'Amico low-risk (PUR-2), intermediate-risk (PUR-3), and high-risk (PUR-4) prostate cancer. Results revealed that application of PUR provided a net benefit over current clinical practice, since each PUR signature was significantly associated with its corresponding clinical category. Furthermore, PUR-4 status predicted the presence of clinically significant intermediate- or high-risk disease.
The investigators now describe an At Home Collection Kit that allows urine to be collected by patients at home and then posted to a laboratory for analysis by PUR methodology. The collection tubes contained a commercial preservative, which allowed samples to be maintained at room temperature without loss of RNA quality. A group of 14 participants were provided with an At Home Collection Kit, and instructions. Results of their home urine samples, taken first thing in the morning were compared to samples collected after a digital rectal examination.
At the laboratory, harvest of cell-free RNA using a novel high-volume vacuum extraction method increased total RNA yields, improved the detection sensitivity of prostate-cancer-specific transcripts by RT-PCR, and enabled extraction of RNA from historic frozen urine samples. Thus, RNA yields and quality were comparable to those for post digital rectal examination urine.
The investigators suggested that this method also has the potential to be adapted for the development of home-collection tests for bladder or kidney cancer.
Senior author Dr Jeremy Clark, a senior researcher at the University of East Anglia, said, "Prostate cancer is the most common cancer in men in the United Kingdom. It usually develops slowly and the majority of cancers will not require treatment in a man's lifetime. However, doctors struggle to predict which tumors will become aggressive, making it hard to decide on treatment for many men. The most commonly used tests for prostate cancer include blood tests, a physical examination known as a digital rectal examination (DRE), an MRI scan or a biopsy. We developed the PUR test, which looks at gene expression in urine samples and provides vital information about whether a cancer is aggressive or “low risk”. Because the prostate is constantly secreting, the collection of urine from men's first urination of the day means that the biomarker levels from the prostate are much higher and more consistent, so this is a great improvement. Being able to simply provide a urine sample at home and post a sample off for analysis could really revolutionize diagnosis. It means that men would not have to undergo a digital rectal examination, so it would be much less stressful and should result in a lot more patients being tested."
The At Home Collection Kit for prostate urinalysis was described in the November 29, 2019, online edition of the journal BioTechniques.
Related Links:
University of East Anglia
Currently, patient urine samples are collected after a digital rectal examination (DRE) of the prostate, which was thought necessary to boost the levels of prostatic secretions in the urine. The creators of the PUR (Prostate Urine Risk) test now report the development of a sampling system that provides indication of prostate cancer risk in urine samples collected at home, eliminating a visit to the clinic and the uncomfortable rectal examination.
The PUR test was established following evaluation of the cell-free expression of 167 genes in urine samples. Investigators at the University of East Anglia (Norwich, United Kingdom) identified a mathematical combination of 35 different genes that could be used to generate four prostate urine risk (PUR) signatures for predicting the probability of normal tissue (PUR-1), D'Amico low-risk (PUR-2), intermediate-risk (PUR-3), and high-risk (PUR-4) prostate cancer. Results revealed that application of PUR provided a net benefit over current clinical practice, since each PUR signature was significantly associated with its corresponding clinical category. Furthermore, PUR-4 status predicted the presence of clinically significant intermediate- or high-risk disease.
The investigators now describe an At Home Collection Kit that allows urine to be collected by patients at home and then posted to a laboratory for analysis by PUR methodology. The collection tubes contained a commercial preservative, which allowed samples to be maintained at room temperature without loss of RNA quality. A group of 14 participants were provided with an At Home Collection Kit, and instructions. Results of their home urine samples, taken first thing in the morning were compared to samples collected after a digital rectal examination.
At the laboratory, harvest of cell-free RNA using a novel high-volume vacuum extraction method increased total RNA yields, improved the detection sensitivity of prostate-cancer-specific transcripts by RT-PCR, and enabled extraction of RNA from historic frozen urine samples. Thus, RNA yields and quality were comparable to those for post digital rectal examination urine.
The investigators suggested that this method also has the potential to be adapted for the development of home-collection tests for bladder or kidney cancer.
Senior author Dr Jeremy Clark, a senior researcher at the University of East Anglia, said, "Prostate cancer is the most common cancer in men in the United Kingdom. It usually develops slowly and the majority of cancers will not require treatment in a man's lifetime. However, doctors struggle to predict which tumors will become aggressive, making it hard to decide on treatment for many men. The most commonly used tests for prostate cancer include blood tests, a physical examination known as a digital rectal examination (DRE), an MRI scan or a biopsy. We developed the PUR test, which looks at gene expression in urine samples and provides vital information about whether a cancer is aggressive or “low risk”. Because the prostate is constantly secreting, the collection of urine from men's first urination of the day means that the biomarker levels from the prostate are much higher and more consistent, so this is a great improvement. Being able to simply provide a urine sample at home and post a sample off for analysis could really revolutionize diagnosis. It means that men would not have to undergo a digital rectal examination, so it would be much less stressful and should result in a lot more patients being tested."
The At Home Collection Kit for prostate urinalysis was described in the November 29, 2019, online edition of the journal BioTechniques.
Related Links:
University of East Anglia
Latest Technology News
- Aptamer Biosensor Technology to Transform Virus Detection
- AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
- AI-Generated Sensors Open New Paths for Early Cancer Detection
- Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
- AI Predicts Colorectal Cancer Survival Using Clinical and Molecular Features
- Diagnostic Chip Monitors Chemotherapy Effectiveness for Brain Cancer
- Machine Learning Models Diagnose ALS Earlier Through Blood Biomarkers
- Artificial Intelligence Model Could Accelerate Rare Disease Diagnosis
- AI Saliva Sensor Enables Early Detection of Head and Neck Cancer
- AI-Powered Biosensor Technology to Enable Breath Test for Lung Cancer Detection
- AI Model Achieves Breakthrough Accuracy in Ovarian Cancer Detection
Channels
Clinical Chemistry
view channel
Study Compares Analytical Performance of Quantitative Hepatitis B Surface Antigen Assays
Hepatitis B virus (HBV) continues to pose a significant global health challenge, with chronic infection affecting hundreds of millions of people despite effective vaccines and antiviral therapies.... Read more
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read moreHematology
view channel
Automated Hemostasis System Helps Labs of All Sizes Optimize Workflow
High-volume hemostasis sections must sustain rapid turnaround while managing reruns and reflex testing. Manual tube handling and preanalytical checks can strain staff time and increase opportunities for error.... Read more
High-Sensitivity Blood Test Improves Assessment of Clotting Risk in Heart Disease Patients
Blood clotting is essential for preventing bleeding, but even small imbalances can lead to serious conditions such as thrombosis or dangerous hemorrhage. In cardiovascular disease, clinicians often struggle... Read moreImmunology
view channelBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channelAI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
Infections caused by the pathogenic yeast Candida auris pose a significant threat to hospitalized patients, particularly those with weakened immune systems or those who have invasive medical devices.... Read more
New Test Measures How Effectively Antibiotics Kill Bacteria
Antibiotics are typically evaluated by how well they inhibit bacterial growth in laboratory tests, but growth inhibition does not always mean the bacteria are actually killed. Some pathogens can survive... Read morePathology
view channel
Single-Cell Profiling Technique Could Guide Early Cancer Detection
Cancer often develops silently over many years, as individual cells acquire mutations that give them a growth advantage long before a tumor forms. These pre-malignant cells can exist alongside normal cells... Read more
Intraoperative Tumor Histology to Improve Cancer Surgeries
Surgical removal of cancer remains the first-line treatment for many tumors, but ensuring that all cancerous tissue is removed while preserving healthy tissue is a major challenge. Surgeons currently rely... Read more
Rapid Stool Test Could Help Pinpoint IBD Diagnosis
Inflammatory bowel disease (IBD) is a chronic condition in which the immune system mistakenly attacks the digestive tract, causing persistent gut inflammation. Diagnosis and disease monitoring often depend... Read more
AI-Powered Label-Free Optical Imaging Accurately Identifies Thyroid Cancer During Surgery
Thyroid cancer is the most common endocrine cancer, and its rising detection rates have increased the number of patients undergoing surgery. During tumor removal, surgeons often face uncertainty in distinguishing... Read moreTechnology
view channelAptamer Biosensor Technology to Transform Virus Detection
Rapid and reliable virus detection is essential for controlling outbreaks, from seasonal influenza to global pandemics such as COVID-19. Conventional diagnostic methods, including cell culture, antigen... Read more
AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
Pre-eclampsia and anemia are major contributors to maternal and child mortality worldwide, together accounting for more than half a million deaths each year and leaving millions with long-term health complications.... Read moreIndustry
view channel
WHX Labs Dubai to Gather Global Experts in Antimicrobial Resistance at Inaugural AMR Leaders’ Summit
World Health Expo (WHX) Labs in Dubai (formerly Medlab Middle East), which will be held at Dubai World Trade Centre from 10-13 February, will address the growing global threat of antimicrobial resistance... Read more







 Analyzer.jpg)