Microfluidic Motility Device Indicates Likelihood of Breast Tumor Metastasis
|
By LabMedica International staff writers Posted on 10 Jun 2019 |

Image: Examples of migratory and non-migratory MDA-MB-231 breast cancer cells migrating in the MAqCI (Microfluidic Assay for quantification of Cell Invasion) device (Photo courtesy of Christopher L. Yankaskas, Johns Hopkins University).
A novel microfluidic motility test was shown to accurately predict a breast tumor's likelihood to generate metastases.
The difficulties involved in predicting which patients with breast cancer will develop metastases leads to the overtreatment of patients with benign disease and to the inadequate treatment of aggressive cancers. To meet this predictive challenge, investigators at Johns Hopkins University (Baltimore, MD, USA) development a microfluidic assay that quantified the abundance and proliferative index of migratory cells in breast cancer specimens, for the assessment of their metastatic propensity and for the rapid screening of potential anti-metastatic therapeutics.
The device comprised Y-shaped microchannels with dimensions chosen to mimic aspects of the complexity and variety of the cross-sectional areas of tissue tracks found in or along different locations in the body. This Microfluidic Assay for quantification of Cell Invasion (MAqCI) was designed to evaluate three key features of metastasis: cancer cells’ ability to move, their ability to compress in order to enter narrow channels, and their ability to proliferate.
The MAqCI device, which is now patented in the United States, was used in conjunction with a computerized inverted microscope having phase contrast and fluorescence imaging capabilities. Cell migration was monitored in real time via time-lapse phase contrast microscopy. Results of experiments conducted with the MAqCI device revealed that compared to an unsorted population of cancer cells, highly motile cells isolated by the device exhibited similar tumorigenic potential but markedly increased metastatic propensity in vivo.
RNA sequencing of the highly motile cells revealed an enrichment of motility-related and survival-related genes.
“When a lump is detected in a patient’s body, the doctor can determine if the mass is benign or malignant through a biopsy, but they cannot really say with confidence if a malignant tumor is going to be highly aggressive and metastasize to other locations,” said senior author Dr. Konstantinos Konstantopoulos, professor of biomedical engineering and oncology at Johns Hopkins University. “Although liquid biopsies or circulating tumor DNA measurements can be very good at monitoring a patient’s response to therapy after it is administered, they do not provide a means to help physicians select optimal drugs to prevent spread.”
Use of the MAqCI device was described in the May 6, 2019, online edition of the journal Nature Biomedical Engineering.
Related Links:
Johns Hopkins University
The difficulties involved in predicting which patients with breast cancer will develop metastases leads to the overtreatment of patients with benign disease and to the inadequate treatment of aggressive cancers. To meet this predictive challenge, investigators at Johns Hopkins University (Baltimore, MD, USA) development a microfluidic assay that quantified the abundance and proliferative index of migratory cells in breast cancer specimens, for the assessment of their metastatic propensity and for the rapid screening of potential anti-metastatic therapeutics.
The device comprised Y-shaped microchannels with dimensions chosen to mimic aspects of the complexity and variety of the cross-sectional areas of tissue tracks found in or along different locations in the body. This Microfluidic Assay for quantification of Cell Invasion (MAqCI) was designed to evaluate three key features of metastasis: cancer cells’ ability to move, their ability to compress in order to enter narrow channels, and their ability to proliferate.
The MAqCI device, which is now patented in the United States, was used in conjunction with a computerized inverted microscope having phase contrast and fluorescence imaging capabilities. Cell migration was monitored in real time via time-lapse phase contrast microscopy. Results of experiments conducted with the MAqCI device revealed that compared to an unsorted population of cancer cells, highly motile cells isolated by the device exhibited similar tumorigenic potential but markedly increased metastatic propensity in vivo.
RNA sequencing of the highly motile cells revealed an enrichment of motility-related and survival-related genes.
“When a lump is detected in a patient’s body, the doctor can determine if the mass is benign or malignant through a biopsy, but they cannot really say with confidence if a malignant tumor is going to be highly aggressive and metastasize to other locations,” said senior author Dr. Konstantinos Konstantopoulos, professor of biomedical engineering and oncology at Johns Hopkins University. “Although liquid biopsies or circulating tumor DNA measurements can be very good at monitoring a patient’s response to therapy after it is administered, they do not provide a means to help physicians select optimal drugs to prevent spread.”
Use of the MAqCI device was described in the May 6, 2019, online edition of the journal Nature Biomedical Engineering.
Related Links:
Johns Hopkins University
Latest Technology News
- Training Device Improves Accuracy of Pooled Molecular Diagnostics
- New CE-Certified Software Advances Whole-Genome Cancer Testing
- National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
- AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
- Agentic AI Platform Supports Genomic Decision-Making in Oncology
- Algorithm Panel Aids Liver Fibrosis Assessment and Liver Cancer Surveillance
- Mailed Screening Kits Help Reduce Colorectal Cancer Screening Gaps
- AI-Enabled Assistant Unifies Molecular Workflow Planning and Support
- AI Tool Automates Validation of Laboratory Software Configuration Changes
- Point-of-Care Testing Enhances Health Literacy and Self-Management in Chronic Disease
- Fully Automated Sample-to-Insight Workflow Advances Latent TB Testing
- Tumor-on-a-Chip Platform Models Pancreatic Cancer Treatment Response
- New Platform Captures Extracellular Vesicles for Early Cancer Detection
- Microfluidic Single-Cell Assay Predicts Breast Cancer Risk
- AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
- Integrated System Streamlines Pre-Analytical Workflow for Molecular Testing
Channels
Clinical Chemistry
view channel
Blood Biomarker May Signal Cognitive Decline Risk a Decade Before Symptoms
Accurately identifying which cognitively healthy older adults will later develop impairment due to Alzheimer’s disease remains difficult, as brain scans and genetic testing provide only part of the risk picture.... Read more
Ultrasensitive Biosensor Detects Early Liver Fibrosis from Blood
Early diagnosis of liver fibrosis remains challenging because the condition often progresses without symptoms, while traditional assessments rely on invasive biopsy or costly imaging. Timely identification... Read moreMolecular Diagnostics
view channel
HPV Assay Gains Expanded CE Mark for Self-Collected Vaginal Samples
Cervical cancer is the fourth most common cancer in women and is largely preventable through vaccination and regular screening. However, even where organized screening programs exist, participation varies... Read more
Fully Automated Test Advances Hepatitis D Diagnosis and Monitoring
Hepatitis D virus infection can accelerate progression to cirrhosis and liver cancer, making timely diagnosis and longitudinal monitoring essential. Because hepatitis D depends on co-infection or superinfection... Read more
Blood Test Achieves Improved Detection of Advanced Precancerous Colorectal Lesions
Colorectal cancer is the second-leading cause of cancer-related death in the United States, yet screening uptake remains suboptimal. More than 50 million eligible adults are not up to date with recommended... Read moreHematology
view channel
New Biomarkers Predict Resistance to Targeted Therapy in Rare Blood Cancer
Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and aggressive leukemia with limited treatment options and a poor prognosis. Although tagraxofusp is the first approved targeted therapy for... Read more
AI Decision Support System Guides Treatment Selection for Complex Blood Cancers
Treatment selection for hematologic malignancies often requires clinicians to synthesize clinical histories, genomic alterations, prior therapies, and rapidly evolving drug options. These complex decisions... Read moreImmunology
view channel
Diagnostic Models Detect Hidden Eye Abnormalities After Mild COVID-19
Persistent ocular symptoms after COVID-19 can severely affect reading, work, and daily tasks, yet standard eye exams often reveal no clear abnormalities. Patients experiencing photophobia, eye pain, and... Read more
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read more
Emergency Department Opt-Out Testing Program Identifies Undiagnosed HIV
Undiagnosed HIV continues to drive avoidable morbidity and transmission, with many people identified only after substantial immune damage has occurred. In England, about one in 20 people living with HIV... Read more
Immune Biomarkers Could Identify Risk of Chronic Critical Illness on ICU Admission
Severe traumatic injury can trigger immune and organ dysfunction that complicates recovery in the intensive care unit. A subset of patients develop chronic critical illness, defined as dependence on intensive... Read moreMicrobiology
view channel
Rapid Panel Identifies Gram-Negative Pathogens and Resistance Markers in Bloodstream Infections
Bloodstream infections require rapid identification of causative pathogens and resistance mechanisms to guide effective therapy. Delays in profiling gram-negative organisms, which are frequently associated... Read more
Bacterial Growth Assay Predicts COVID-19 Severity From Plasma
COVID-19 presents with a wide clinical spectrum, from mild illness to severe, life-threatening disease. Early differentiation between patients likely to remain mild and those at risk of severe progression... Read morePathology
view channel
Imaging Platform Maps Lipid Accumulations in Fabry Heart Tissue
Mapping the spatial distribution of disease-relevant molecules within tissue remains a diagnostic challenge, particularly before alterations are visible by conventional microscopy. In Fabry disease, a... Read more
AI Tissue Imaging Helps Guide Targeted Therapy for Lung Cancer
Lung cancer is the leading cause of cancer-related death, and many patients require rapid genotyping to guide targeted therapy selection. Current workflows often rely on molecular tests that are costly,... Read moreIndustry
view channel
Leica Biosystems to Expand Pathology Portfolio Through StatLab Acquisition
Leica Biosystems, an operating company of Danaher, has entered into a definitive agreement to acquire privately held StatLab Medical Products from Linden Capital Partners and Audax Private Equity.... Read more




 Assay.jpg)



