Scientists have created a new low-cost, fast response sensor to detect lung cancer biomarkers, paving the way for the development of screening devices to spot the disease even before symptoms occur. Similar in design to glucose monitoring devices, the sensor provides results from a blood sample in just 40 minutes. The technology has the potential to be used by clinicians to both identify patients at higher risk of lung cancer, and tailor treatments for those already diagnosed in a ‘precision medicine’ approach.

In the three-year research project, Mahdi Arabnejad a former PhD student at Cranfield University, Sam Tothill, Professor of Bio-Nano Sensors, and Dr Iva Chianella, Senior Lecturer in Bio-sensors and Functional Polymers, developed the sensors to screen for two proteins in a blood sample and demonstrated the concept in a lab environment.

The study focused on developing highly sensitive sensors for two key lung cancer biomarkers: neuron-specific enolase (NSE) and carcinoembryonic antigen (CEA). The sensors were tested with buffer and human samples, and achieved clinically relevant detection limits for both NSE and CEA.

The results indicate the technology has significant promise as a valuable tool in the early and accurate detection of lung cancer.

The simple and quick test means that clinical staff can use the sensor to identify people with a higher risk of lung cancer, and refer them for further testing. This proactive approach enables early detection, which can improve outcomes. The test can also be used whilst patients are in treatment to track how chemotherapy, for example, may be addressing the cancer.

Dr Chianella commented: “At the moment lung cancer screening tests can be expensive and take a long time. Although it’s early stages, the sensor we have developed holds great promise of early detection, which can lead to prompt treatments with higher patients’ survival rates.”



Source link

Leave a Reply

Your email address will not be published. Required fields are marked *

Explore More

Artificial intelligence improves lung cancer diagnosis

A team of researchers from the University of Cologne’s Faculty of Medicine and University Hospital Cologne, led by Dr Yuri Tolkach and Professor Dr Reinhard Büttner, has created a digital

Infants born to COVID-infected mothers have triple the risk of developing respiratory distress

New UCLA-led research finds that infants born full term to mothers who were infected with COVID-19 during pregnancy had three times the risk of having respiratory distress compared with unexposed

New scan method unveils lung function secrets

A new method of scanning lungs is able to show the effects of treatment on lung function in real time and enable experts to see the functioning of transplanted lungs.