Bioelectronic Devices Capture and Release Tumor Cells for Early Cancer Diagnosis
|
By LabMedica International staff writers Posted on 11 Sep 2023 |

Metastasis, the spread of cancer cells from the primary tumor to distant organs, is the main cause of cancer-related deaths. Metastasis occurs when a cancer cell detaches from the initial tumor, travels through the bloodstream and lymphatic system, and invades other parts of the body. Collecting these circulating tumor cells non-invasively is crucial for understanding cell biology, as well as for cancer diagnosis, prognosis, and drug development. Traditional methods for gathering these cells in a usable form are time-consuming, given that the concentration of these cells in the bloodstream is incredibly low compared to other cell types.
Now, a group of researchers at the University of the Basque Country (UPV/EHU, Leioa, Spain) has designed a bioelectronic device that could revolutionize this process. The device featuring gold electrodes coated with a smart polymer not only captures but also releases cells in a controllable, non-destructive manner, while simultaneously tracking these activities through standard electrical readings. This is seen as a foundational step toward creating universal systems for early cancer detection. Previous biosensors designed for this purpose were less than ideal because they damaged cells during the capture and release process. To address this, the team integrated smart materials with bioelectronics, which involves the use of carbon-based semiconductors, for more accurate and less harmful cell capture and release mechanisms.
In their preliminary tests, the researchers did not use real patient samples but instead relied on commercial cells sustained in culture media. The results demonstrated that the device successfully captured and released these cells. The team is now in the process of customizing the polymer to interact specifically with different types of cells. Currently, the device is being used on esophageal cancer patient samples. Its role is to selectively accumulate cancer cells, making it easier to determine their concentration in the sample.
“We wanted to come up with a device capable of concentrating cancer cells in order to detect their concentration,” said Janire Sáez, Ikerbasque research professor in the UPV/EHU’s Microfluidics Cluster Group. These are the first steps towards developing platforms for cancer screening. This could be a good step forward because they generally involve low-cost technologies and can be mass-produced. The idea is to use this type of technology for early cancer diagnosis.”
Related Links:
UPV/EHU
Latest Technology News
- Machine Learning Models Diagnose ALS Earlier Through Blood Biomarkers
- Artificial Intelligence Model Could Accelerate Rare Disease Diagnosis
- AI Saliva Sensor Enables Early Detection of Head and Neck Cancer
- AI-Powered Biosensor Technology to Enable Breath Test for Lung Cancer Detection
- AI Model Achieves Breakthrough Accuracy in Ovarian Cancer Detection
- Portable Biosensor Diagnoses Psychiatric Disorders Using Saliva Samples
- Cell-Sorting Device Uses Electromagnetic Levitation to Precisely Direct Cell Movement

- Embedded GPU Platform Enables Rapid Blood Profiling for POC Diagnostics
- Viral Biosensor Test Simultaneously Detects Hepatitis and HIV
- Acoustofluidic Device to Transform Point-Of-Care sEV-Based Diagnostics
- AI Algorithm Assesses Progressive Decline in Kidney Function
Channels
Clinical Chemistry
view channel
POC Breath Diagnostic System to Detect Pneumonia-Causing Pathogens
Pseudomonas aeruginosa is a major cause of hospital-acquired and ventilator-associated pneumonia, particularly in lung transplant recipients and patients with structural lung disease. Its ability to form... Read more
Online Tool Detects Drug Exposure Directly from Patient Samples
Doctors often rely on patient interviews and medical records to determine what medications a person has taken, but this information is frequently incomplete. People may forget drugs they used, take over-the-counter... Read moreHematology
view channel
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more
Platelet Activity Blood Test in Middle Age Could Identify Early Alzheimer’s Risk
Early detection of Alzheimer’s disease remains one of the biggest unmet needs in neurology, particularly because the biological changes underlying the disorder begin decades before memory symptoms appear.... Read more
Microvesicles Measurement Could Detect Vascular Injury in Sickle Cell Disease Patients
Assessing disease severity in sickle cell disease (SCD) remains challenging, especially when trying to predict hemolysis, vascular injury, and risk of complications such as vaso-occlusive crises.... Read more
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read moreImmunology
view channelBlood Test Could Detect Adverse Immunotherapy Effects
Immune checkpoint inhibitors have transformed cancer treatment, but they can also trigger serious immune-related adverse events that damage healthy organs and may become life-threatening if not detected early.... Read more
Routine Blood Test Can Predict Who Benefits Most from CAR T-Cell Therapy
CAR T-cell therapy has transformed treatment for patients with relapsed or treatment-resistant non-Hodgkin lymphoma, but many patients eventually relapse despite an initial response. Clinicians currently... Read moreMicrobiology
view channel
Blood-Based Diagnostic Method Could Identify Pediatric LRTIs
Lower-respiratory tract infections (LRTIs) are a leading cause of illness and death worldwide, and pneumonia is the leading infectious cause of death in children under five, claiming the lives of over... Read more
Rapid Diagnostic Test Matches Gold Standard for Sepsis Detection
Sepsis kills 11 million people worldwide every year and generates massive healthcare costs. In the USA and Europe alone, sepsis accounts for USD 100 billion in annual hospitalization expenses.... Read moreRapid POC Tuberculosis Test Provides Results Within 15 Minutes
Tuberculosis remains one of the world’s deadliest infectious diseases, and reducing new cases depends on identifying individuals with latent infection before it progresses. Current diagnostic tools often... Read more
Rapid Assay Identifies Bloodstream Infection Pathogens Directly from Patient Samples
Bloodstream infections in sepsis progress quickly and demand rapid, precise diagnosis. Current blood-culture methods often take one to five days to identify the pathogen, leaving clinicians to treat blindly... Read morePathology
view channel
Rapid Low-Cost Tests Can Prevent Child Deaths from Contaminated Medicinal Syrups
Medicinal syrups contaminated with toxic chemicals have caused the deaths of hundreds of children worldwide, exposing a critical gap in how these products are tested before reaching patients.... Read more
Tumor Signals in Saliva and Blood Enable Non-Invasive Monitoring of Head and Neck Cancer
Head and neck cancers are among the most aggressive malignancies worldwide, with nearly 900,000 new cases diagnosed each year. Monitoring these cancers for recurrence or relapse typically relies on tissue... Read more
Common Health Issues Can Influence New Blood Tests for Alzheimer’s Disease
Blood-based tests for Alzheimer’s disease are transforming diagnosis by offering a simpler alternative to spinal taps and brain imaging. However, many people evaluated at memory clinics also live with... Read more
Blood Test Formula Identifies Chronic Liver Disease Patients with Higher Cancer Risk
Chronic liver disease affects millions worldwide and can progress silently to hepatocellular carcinoma (HCC), one of the deadliest cancers globally. While surveillance guidelines exist for patients with... Read moreTechnology
view channel
Machine Learning Models Diagnose ALS Earlier Through Blood Biomarkers
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease that is notoriously difficult to diagnose in its early stages. Early symptoms often overlap with other neurological... Read more
Artificial Intelligence Model Could Accelerate Rare Disease Diagnosis
Identifying which genetic variants actually cause disease remains one of the biggest challenges in genomic medicine. Each person carries tens of thousands of DNA changes, yet only a few meaningfully alter... Read moreIndustry
view channel
BD and Penn Institute Collaborate to Advance Immunotherapy through Flow Cytometry
BD (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) has entered into a strategic collaboration with the Institute for Immunology and Immune Health (I3H, Philadelphia, PA, USA) at the University... Read more




 assay.jpg)



