New device identifies key membrane protein in urine that could be used to detect brain cancer

NewsGuard 100/100 Score

Researchers at Nagoya University in Japan have used a new device to identify a key membrane protein in urine that indicates whether the patient has a brain tumor. Their protein could be used to detect brain cancer, avoiding the need for invasive tests, and increasing the likelihood of tumors being detected early enough for surgery. This research could also have potential implications for detecting other types of cancer. The research was published in ACS Nano.

Although early detection of many types of cancer has contributed to the recent increases in cancer survival rates, the survival rate for brain tumors has remained almost unchanged for over 20 years. Partly this is due to their late detection. Physicians often discover brain tumors only after the onset of neurological symptoms, such as loss of movement or speech, by which time the tumor has reached a considerable size. Detecting the tumor when it is still small, and starting treatment as soon as possible. should help to save lives.

One possible sign that a person has a brain tumor is the presence of tumor-related extracellular vesicles (EVs) in their urine. EVs are nano-sized vesicles involved in a variety of functions, including cell-to-cell communication. Because those found in brain cancer patients have specific types of RNA and membrane proteins, they could be used to detect the presence of cancer and its progression.

Although they are excreted far from the brain, many EVs from cancer cells exist stably and are excreted in the urine without breaking down. Urine testing has many advantages, explains Associate Professor Takao Yasui of Nagoya University Graduate School of Engineering.

Liquid biopsy can be performed using many body fluids, but blood tests are invasive. Urine tests are an effective, simple, and non-invasive method because the urine contains many informative biomolecules that can be traced back to identify the disease."

Takao Yasui, Associate Professor, Nagoya University Graduate School of Engineering

A research group led by Yasui and Professor Yoshinobu Baba of Nagoya University's Graduate School of Engineering, in collaboration with Nagoya University's Institute of Innovation for Future Society and the University of Tokyo, has developed a new analysis platform for brain tumor EVs using nanowires at the bottom of a well plate. Using this device, they identified two specific types of EV membrane proteins, known as CD31/CD63, from urine samples of brain tumor patients. Looking for these tell-tale proteins could enable doctors to identify tumor patients before they develop symptoms.

"Currently, EV isolation and detection methods require more than two instruments and an assay to isolate and then detect EVs," said Yasui. "The all-in-one nanowire assay can isolate and detect EVs using one simple procedure. In the future, users can run samples through our assay and change the detection part, by selectively modifying it to detect specific membrane proteins or miRNAs inside EVs to detect other types of cancer. Using this platform, we expect to advance the analysis of the expression levels of specific membrane proteins in patients' urinary EVs, which will enable the early detection of different types of cancer."

Source:
Journal reference:

Chattrairat, K., et al. (2023) All-in-One Nanowire Assay System for Capture and Analysis of Extracellular Vesicles from an ex Vivo Brain Tumor Model. ACS Nano. doi.org/10.1021/acsnano.2c08526.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
DELiVR's virtual reality training speeds up cell detection in complex brain datasets