Aggressive Breast Cancer Identified with Fluorescent Technique
|
By LabMedica International staff writers Posted on 21 Jul 2016 |

Image: The new BRIM technology enables pathologists to identify whether a DCIS is aggressive or not. In this image of a DCIS sample, the biomarkers CD44hi/CD24lo, reveals intraductal cells of aggressive cancer that are highlighted (Photo courtesy of University of Michigan Health System).
Ductal carcinoma in situ (DCIS) of the breast is the most common type of non-invasive breast cancer and in DCIS, epithelial cells proliferate within ducts, which are surrounded by a double layer of myoepithelial cells and basement membranes.
Although epidemiological studies propose aggressive and non-aggressive forms of ductal DCIS, they cannot be identified with conventional histopathology and because of this, to be safe, most patients undergo aggressive treatment.
Scientists at the University of Michigan Medical School (Ann Arbor, MI, USA) used a new method, called biomarker ratio imaging microscopy (BRIM), to evaluate the co-expression of biomarkers correlating and anti-correlating with breast cancer aggressiveness in a retrospective study of DCIS samples. BRIM combines traditional microscope techniques that pathologists use to examine tissue with mathematical analysis. The technique compares levels of different biomarkers, which can be seen as different fluorescent colors in stained tissue under a microscope.
Fluorescence microscopy was performed using a TE2000-U inverted microscope (Nikon, Melville, NY, USA) and an Andor iXon camera (Andor Technology, Belfast, UK) with 100 W mercury lamp. The investigators looked at biopsy tissue samples from 23 patients with DCIS. They used fluorescent imaging, where the tissue samples are stained, to identify key biomarkers. Each biomarker was stained a different color. They then entered the images of the stained tissue samples into a computer that calculated the levels of different biomarkers in each pixel. In cancer, some biomarkers are present in high levels while others are less prolific. BRIM uses the ratio of these different levels to form an image of improved contrast.
The BRIM method found 22% of the samples had low ratios of cancer versus non-cancer biomarkers, suggesting those lesions were very slow-growing and non-aggressive. They note that an advantage of BRIM is that it uses several biomarkers rather than relying on only one. They decided which biomarkers to use after an extensive literature search. The authors concluded that the ability to stratify DCIS lesions and to identify potentially non-aggressive and aggressive lesions raises important issues in addressing overtreatment in breast cancer. BRIM is particularly attractive because it could be integrated into clinical pathology practices. Moreover, this approach may be useful in the cytologic study of aspirates in breast cancer and in peritoneal fluids in ovarian cancer. The study was published on June 1, 2016, in the journal Scientific Reports.
Related Links:
University of Michigan Medical School
Nikon
Andor Technology
Although epidemiological studies propose aggressive and non-aggressive forms of ductal DCIS, they cannot be identified with conventional histopathology and because of this, to be safe, most patients undergo aggressive treatment.
Scientists at the University of Michigan Medical School (Ann Arbor, MI, USA) used a new method, called biomarker ratio imaging microscopy (BRIM), to evaluate the co-expression of biomarkers correlating and anti-correlating with breast cancer aggressiveness in a retrospective study of DCIS samples. BRIM combines traditional microscope techniques that pathologists use to examine tissue with mathematical analysis. The technique compares levels of different biomarkers, which can be seen as different fluorescent colors in stained tissue under a microscope.
Fluorescence microscopy was performed using a TE2000-U inverted microscope (Nikon, Melville, NY, USA) and an Andor iXon camera (Andor Technology, Belfast, UK) with 100 W mercury lamp. The investigators looked at biopsy tissue samples from 23 patients with DCIS. They used fluorescent imaging, where the tissue samples are stained, to identify key biomarkers. Each biomarker was stained a different color. They then entered the images of the stained tissue samples into a computer that calculated the levels of different biomarkers in each pixel. In cancer, some biomarkers are present in high levels while others are less prolific. BRIM uses the ratio of these different levels to form an image of improved contrast.
The BRIM method found 22% of the samples had low ratios of cancer versus non-cancer biomarkers, suggesting those lesions were very slow-growing and non-aggressive. They note that an advantage of BRIM is that it uses several biomarkers rather than relying on only one. They decided which biomarkers to use after an extensive literature search. The authors concluded that the ability to stratify DCIS lesions and to identify potentially non-aggressive and aggressive lesions raises important issues in addressing overtreatment in breast cancer. BRIM is particularly attractive because it could be integrated into clinical pathology practices. Moreover, this approach may be useful in the cytologic study of aspirates in breast cancer and in peritoneal fluids in ovarian cancer. The study was published on June 1, 2016, in the journal Scientific Reports.
Related Links:
University of Michigan Medical School
Nikon
Andor Technology
Latest Immunology News
- Blood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
- Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
- Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
- Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
- Blood Test Could Detect Adverse Immunotherapy Effects
- Routine Blood Test Can Predict Who Benefits Most from CAR T-Cell Therapy
- New Test Distinguishes Vaccine-Induced False Positives from Active HIV Infection
- Gene Signature Test Predicts Response to Key Breast Cancer Treatment
- Chip Captures Cancer Cells from Blood to Help Select Right Breast Cancer Treatment
- Blood-Based Liquid Biopsy Model Analyzes Immunotherapy Effectiveness
- Signature Genes Predict T-Cell Expansion in Cancer Immunotherapy
- Molecular Microscope Diagnostic System Assesses Lung Transplant Rejection
- Blood Test Tracks Treatment Resistance in High-Grade Serous Ovarian Cancer
- Luminescent Probe Measures Immune Cell Activity in Real Time
- Blood-Based Immune Cell Signatures Could Guide Treatment Decisions for Critically Ill Patients
- Novel Tool Predicts Most Effective Multiple Sclerosis Medication for Patients
Channels
Clinical Chemistry
view channel
New PSA-Based Prognostic Model Improves Prostate Cancer Risk Assessment
Prostate cancer is the second-leading cause of cancer death among American men, and about one in eight will be diagnosed in their lifetime. Screening relies on blood levels of prostate-specific antigen... Read more
Extracellular Vesicles Linked to Heart Failure Risk in CKD Patients
Chronic kidney disease (CKD) affects more than 1 in 7 Americans and is strongly associated with cardiovascular complications, which account for more than half of deaths among people with CKD.... Read moreMolecular Diagnostics
view channel
Diagnostic Device Predicts Treatment Response for Brain Tumors Via Blood Test
Glioblastoma is one of the deadliest forms of brain cancer, largely because doctors have no reliable way to determine whether treatments are working in real time. Assessing therapeutic response currently... Read more
Blood Test Detects Early-Stage Cancers by Measuring Epigenetic Instability
Early-stage cancers are notoriously difficult to detect because molecular changes are subtle and often missed by existing screening tools. Many liquid biopsies rely on measuring absolute DNA methylation... Read more
“Lab-On-A-Disc” Device Paves Way for More Automated Liquid Biopsies
Extracellular vesicles (EVs) are tiny particles released by cells into the bloodstream that carry molecular information about a cell’s condition, including whether it is cancerous. However, EVs are highly... Read more
Blood Test Identifies Inflammatory Breast Cancer Patients at Increased Risk of Brain Metastasis
Brain metastasis is a frequent and devastating complication in patients with inflammatory breast cancer, an aggressive subtype with limited treatment options. Despite its high incidence, the biological... Read moreHematology
view channel
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read more
Fast and Easy Test Could Revolutionize Blood Transfusions
Blood transfusions are a cornerstone of modern medicine, yet red blood cells can deteriorate quietly while sitting in cold storage for weeks. Although blood units have a fixed expiration date, cells from... Read more
Automated Hemostasis System Helps Labs of All Sizes Optimize Workflow
High-volume hemostasis sections must sustain rapid turnaround while managing reruns and reflex testing. Manual tube handling and preanalytical checks can strain staff time and increase opportunities for error.... Read more
High-Sensitivity Blood Test Improves Assessment of Clotting Risk in Heart Disease Patients
Blood clotting is essential for preventing bleeding, but even small imbalances can lead to serious conditions such as thrombosis or dangerous hemorrhage. In cardiovascular disease, clinicians often struggle... Read moreImmunology
view channelBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read moreAI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
Infections caused by the pathogenic yeast Candida auris pose a significant threat to hospitalized patients, particularly those with weakened immune systems or those who have invasive medical devices.... Read moreTechnology
view channel
Robotic Technology Unveiled for Automated Diagnostic Blood Draws
Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more
ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
Clinical laboratories generate billions of test results each year, creating a treasure trove of data with the potential to support more personalized testing, improve operational efficiency, and enhance patient care.... Read moreAptamer Biosensor Technology to Transform Virus Detection
Rapid and reliable virus detection is essential for controlling outbreaks, from seasonal influenza to global pandemics such as COVID-19. Conventional diagnostic methods, including cell culture, antigen... Read more
AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
Pre-eclampsia and anemia are major contributors to maternal and child mortality worldwide, together accounting for more than half a million deaths each year and leaving millions with long-term health complications.... Read moreIndustry
view channelNew Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing
Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more
AI-Powered Cervical Cancer Test Set for Major Rollout in Latin America
Noul Co., a Korean company specializing in AI-based blood and cancer diagnostics, announced it will supply its intelligence (AI)-based miLab CER cervical cancer diagnostic solution to Mexico under a multi‑year... Read more
Diasorin and Fisher Scientific Enter into US Distribution Agreement for Molecular POC Platform
Diasorin (Saluggia, Italy) has entered into an exclusive distribution agreement with Fisher Scientific, part of Thermo Fisher Scientific (Waltham, MA, USA), for the LIAISON NES molecular point-of-care... Read more







