We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.


New Urine Tests May One Day Detect Early Bladder Cancer

Two urine collection tubes.
Credit: Testalize.me/ Unsplash
Listen with
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: 2 minutes

A University of Houston biomedical engineer and his team are reporting the discovery of new biomarkers for early detection of bladder cancer (BC), among the most common cancers diagnosed in men in the U.S. According to the American Cancer Society, more than 62,000 cases have been diagnosed in men and nearly 20,000 in women so far in 2023. 

The current gold standard for the diagnosis of BC is invasive cystoscopy wherein a thin camera is inserted into the tiny urethra to peer inside. It is associated with complications including pain, urinary tract infection and hematuria, or blood in the urine.  It also often lacks the sensitivity to correctly identify the disease.

Soon, a simple urine test, with examination of collected cells, may be the new standard. 

“Using aptamer-based screening, we analyzed the expression of 1,317 proteins in the urine of bladder cancer patients and found that D-dimer - a protein fragment from the breakdown of a blood clot - may have a role in the initial diagnosis or detection of cancer recurrence,” reports Chandra Mohan, Hugh Roy and Lillie Cranz Cullen Endowed Professor of biomedical engineering, in BMC Medicine. 

As opposed to previous studies in the field examining a handful of proteins selected based on their known properties, in this work Mohan reports the first and largest use of the comprehensive aptamer-based proteomic screen of urine samples from 42 subjects. 

Want more breaking news?

Subscribe to Technology Networks’ daily newsletter, delivering breaking science news straight to your inbox every day.

Subscribe for FREE
Aptamers are short, single-stranded DNA or RNA. In recent years, aptamers have come to replace antibodies in high throughput experiments. The aptamer-based biomarker screening technology is capable of examining thousands of proteins in a very small sample volume. For more than a decade Mohan has been proving the success of this method, using it to discover disease biomarkers.

During the screening, of the 21 urine proteins discriminating BC from urology clinic controls, urine D-dimer displayed the highest accuracy (96%) and sensitivity of 97%.

Also in the present study, Mohan executed the largest ELISA (Enzyme-Linked Immunosorbent Assay) validation study in BC, examining 30 protein biomarkers in an independent cohort consisting of 68 subjects. ELISA is a powerful tool that has fueled the engineering of hundreds of diagnostic tests used in hospitals today. It allows for detection of a wide range of molecules with high sensitivity and specificity.

Mohan also found eight urine proteins significantly discriminated muscle invasive bladder cancer from non-muscle invasive bladder cancer with IL-8 and IgA being the best performers.

“Urine IL-8 and IgA may have the potential in identifying disease progression during patient follow-up. The use of these biomarkers for initial triage could have a significant impact as the current cystoscopy-based diagnostic and surveillance approach is costly and invasive when compared to a simple urine test,” said Mohan.

Urine samples for this study were obtained from the University of Texas Southwestern Medical Center and Bioreclamation, Inc. These studies were carried out by graduate student Jessica Castillo and senior researcher Kamala Vanarsa in collaboration with Dr. Yair Lotan at University of Texas Southwestern Medical Center. 

Reference: Vanarsa K, Castillo J, Wang L, et al. Comprehensive proteomics and platform validation of urinary biomarkers for bladder cancer diagnosis and staging. BMC Med. 2023;21(1):133. doi: 10.1186/s12916-023-02813-x

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.