Point-of-Care Biosensor Rapidly Detects Oral Cancer

Point-of-Care Biosensor Rapidly Detects Oral Cancer
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Newswise — WASHINGTON, Dec. 13, 2022 – Oral cancer is the 13th most common type of cancer globally, and oral squamous cell carcinomas (OSCCs) account for more than 90% of oral cancers. An estimated 300,000 new cases and 145,000 deaths worldwide were attributed to oral cancer in 2012.

Since oral cancer occurs in one of the most accessible sites in the body, it can be easily treated if detected promptly. If caught early in the disease state, oral cancers that remain localized and are 2 centimeters or smaller can be cured and five-year survival rates exceed 90%.

In Journal of Vacuum Science & Technology B, copublished by AIP Publishing and AVS, researchers from the University of Florida and National Yang Ming Chiao Tung University in Taiwan report a breakthrough hand-held biosensor that enables quick and accurate detection of oral cancer.

“Oral squamous cell carcinomas are one of the most common lip and oral cavity cancer types,” said Minghan Xian, co-author and a researcher at the University of Florida. “It requires early detection via various medical technologies to improve the survival rate. While most detection techniques for OSCC require histological testing in a lab to confirm the presence of cancer and cancer type, a point-of-care detection technique is preferred for on-site use and a quick result readout.”

The group’s biosensor consists of a sensor strip, similar to a glucose strip, and a circuit board (a hand-held terminal like a glucometer) for detection.

“Typically, test fluid is introduced into a small liquid channel on the tip of the sensor strips,” said Xian. “A few electrodes sit within the liquid channel, and the surface of these electrodes contain antibodies to specific proteins present within human oral cancer lesions. Short electrode pulses get sent through these electrodes during detection, and then the circuit board module analyzes this signal and outputs a four-digit number that correlates to its concentration.”

As far as applications, there’s tremendous interest within the sensor and medical communities to develop semiconductor- and electrochemical-based biomarker detection. The team is now looking forward to demonstrating their integrated solution for cancer and other disease detection via a hand-held point-of-care device with a short detection time and low detection limit. They also hope their work will inspire further research into this topic.

“The next step in this continuum is to conduct the analysis using in vivo samples of CIP2A – a biomarker of OSCC – in oral cancer and non-oral cancer patients with biopsy as a gold standard,” said Xian.

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The article “High sensitivity CIP2A detection for oral cancer using a rapid transistor-based biosensor module” is authored by Minghan Xian, Jenna L. Stephany, Chan-Wen Chiu, Chao-Cing Chiang, Fan Ren, Cheng-Tse Tsai, Siang-Sin Shan, Yu-Te Liao, Josephine F. Esquivel-Upshaw, and Stephen J. Pearton. It will appear in Journal of Vacuum Science & Technology B on Dec. 13, 2022 (DOI: 10.1116/6.0002175). After that date, it can be accessed at https://aip.scitation.org/doi/10.1116/6.0002175.

ABOUT THE JOURNAL

Journal of Vacuum Science & Technology B, an AVS journal published by AIP Publishing, is devoted to publishing reports of original research, letters, and review articles covering multiple disciplines with a focus on microelectronics and nanotechnology. See https://avs.scitation.org/journal/jvb.

ABOUT AVS

AVS is an interdisciplinary, professional society with some 4,500 members worldwide. Founded in 1953, AVS hosts local and international meetings, publishes five journals, serves members through awards, training and career services programs, and supports networking among academic, industrial, government, and consulting professionals. Its members come from across the fields of chemistry, physics, biology, mathematics, engineering, and business and share a common interest in basic science, technology development and commercialization related to materials, interfaces, and processing. https://www.avs.org

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Peyman Taeidi

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