New Milestone for Device that Can 'Smell' Prostate Cancer

A research team from the University of Liverpool has reached an important milestone towards creating a urine diagnostic test for prostate cancer that could mean that invasive diagnostic procedures that men currently undergo eventually become a thing of the past.

'The use of a gas chromatography (GC)-sensor system combined with advanced statistical methods towards the diagnosis of urological malignancies', published today in the Journal of Breath Research, describes a diagnostic test using a special tool to 'smell' the cancer in men's urine.

Working in collaboration with the University of the West of England's (UWE Bristol) Urological Institute team at Southmead Hospital and Bristol Royal Infirmary, the pilot study included 155 men presenting to urology clinics. Of this group, 58 were diagnosed with prostate cancer, 24 with bladder cancer and 73 with haematuria or poor stream without cancer. The results of the pilot study using the GC sensor system indicate that it is able to successfully identify different patterns of volatile compounds that allow classification of urine samples from patients with urological cancers.

Urgent need for earlier diagnosis
Professor Chris Probert from the University of Liverpool's Institute of Translational Medicine began work on this project with UWE Bristol when he was working in Bristol as a gastroenterologist with clinical and research interest in inflammatory bowel disease.

The research team used a gas chromatography sensor system called Odoreader that was developed by a team led by Professor Probert and Professor Norman Ratcliffe at UWE Bristol. The test involves inserting urine samples into the Odoreader that are then measured using algorithms developed by the research team at the University of Liverpool and UWE Bristol.

Professor Probert said: "There is an urgent need to identify these cancers at an earlier stage when they are more treatable as the earlier a person is diagnosed the better. After further sample testing the next step is to take this technology and put it into a user friendly format. With help from industry partners we will be able to further develop the Odoreader, which will enable it to be used where it is needed most; at a patient's bedside, in a doctor's surgery, in a clinic or Walk In Centre, providing fast, inexpensive, accurate results."

Like an electronic nose
Professor Norman Ratcliffe said, "There is currently no accurate test for prostate cancer, the vagaries of the PSA test indicators can sometimes result in unnecessary biopsies, resulting in psychological toll, risk of infection from the procedure and even sometimes missing cancer cases. Our aim is to create a test that avoids this procedure at initial diagnosis by detecting cancer in a non-invasive way by smelling the disease in men's urine. A few years ago we did similar work to detect bladder cancer following a discovery that dogs could sniff out cancer. We have been using the Odoreader, which is like an electronic nose to sense the cancer."

"The Odoreader has a 30 metre column that enables the compounds in the urine to travel through at different rates thus breaking the sample into a readable format. This is then translated into an algorithm enabling detection of cancer by reading the patterns presented. The positioning of the prostate gland which is very close to the bladder gives the urine profile a different algorithm if the man has cancer."

Mr Raj Prasad, Consultant Urologist at Southmead Hospital, North Bristol NHS Trust, said: "If this test succeeds at full medical trial it will revolutionise diagnostics. Even with detailed template biopsies there is a risk that we may fail to detect prostate cancer in some cases. Currently indicators such as diagnosed prostatomegaly (enlarged prostate) and unusually high PSA levels can lead to recommendations for biopsy if there is a concern that cancer may be prevalent. An accurate urine test would mean that many men who currently undergo prostate biopsy may not need to do so."

The pilot trial was funded by the Rotary Club in Bristol who held annual Run for the Future events in Bristol.

The research team is now looking to fund a full clinical trial.

Most Popular Now

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...