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
- Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
- Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
- Smartphones Could Diagnose Diseases Using Infrared Scans
- Novel Sensor Technology to Enable Early Diagnoses of Metabolic and Cardiovascular Disorders
- 3D Printing Breakthrough Enables Large Scale Development of Tiny Microfluidic Devices
- POC Paper-Based Sensor Platform to Transform Cardiac Diagnostics
- Study Explores Impact of POC Testing on Future of Diagnostics
- Low-Cost, Fast Response Sensor Enables Early and Accurate Detection of Lung Cancer
- Nanotechnology For Cervical Cancer Diagnosis Could Replace Invasive Pap Smears
- Lab-On-Chip Platform to Expedite Cancer Diagnoses
- Biosensing Platform Simultaneously Detects Vitamin C and SARS-CoV-2
- New Lens Method Analyzes Tears for Early Disease Detection
- FET-Based Sensors Pave Way for Portable Diagnostic Devices Capable of Detecting Multiple Diseases
- Paper-Based Biosensor System to Detect Glucose Using Sweat Could Revolutionize Diabetes Management
- First AI-Powered Blood Test Identifies Patients in Earliest Stage of Breast Cancer
- Optical Biosensor Rapidly Detects Monkeypox Virus at Point of Care
Channels
Clinical Chemistry
view channel
Carbon Nanotubes Help Build Highly Accurate Sensors for Continuous Health Monitoring
Current sensors can measure various health indicators, such as blood glucose levels, in the body. However, there is a need to develop more accurate and sensitive sensor materials that can detect lower... Read more
Paper-Based Device Boosts HIV Test Accuracy from Dried Blood Samples
In regions where access to clinics for routine blood tests presents financial and logistical obstacles, HIV patients are increasingly able to collect and send a drop of blood using paper-based devices... Read moreMolecular Diagnostics
view channel
RNA-Based Blood Test Detects Preeclampsia Risk Months Before Symptoms
Preeclampsia remains a major cause of maternal morbidity and mortality, as well as preterm births. Despite current guidelines that aim to identify pregnant women at increased risk of preeclampsia using... Read more
First Of Its Kind Test Uses microRNAs to Predict Toxicity from Cancer Therapy
Many men with early-stage prostate cancer receive stereotactic body radiotherapy (SBRT), a highly precise form of radiation treatment that is completed in just five sessions. Compared to traditional radiation,... Read more
Novel Cell-Based Assay Provides Sensitive and Specific Autoantibody Detection in Demyelination
Anti-myelin-associated glycoprotein (MAG) antibodies serve as markers for an autoimmune demyelinating disorder that affects the peripheral nervous system, leading to sensory impairment. Anti-MAG-IgM antibodies... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Deliver Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
Myasthenia gravis, an autoimmune disease, leads to muscle weakness that can affect a range of muscles, including those needed for basic actions like blinking, smiling, or moving. Researchers have long... Read more
AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
Lung adenocarcinoma, the most common form of non-small cell lung cancer (NSCLC), typically adopts one of six distinct growth patterns, often combining multiple patterns within a single tumor.... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more