Growth and Spread of Breast Cancer Linked to Tumor Cells' Expression of a Cartilage Protein
|
By LabMedica International staff writers Posted on 27 Apr 2016 |

Image: High expression of COMP in breast cancer cells, seen here in brown, was associated with poor clinical prognosis for the patient. Cancer cells expressing COMP became more invasive and changed their metabolism, which allowed them to survive better and spread to other organs (Photo courtesy of Dr. Anna Blom, Lund University).
A team of Swedish cancer researchers has identified a protein in breast tumors and surrounding stromal tissue that contributes to the development and spread of the disease.
Investigators at Lund University (Malmö, Sweden) using tissue microarrays derived from two cohorts of patients with breast cancer found that the protein COMP (cartilage oligomeric matrix protein), a soluble pentameric protein expressed in cartilage and involved in collagen organization, was expressed to a varying degree in the tumor cells and surrounding stroma. High levels of COMP in tumor cells correlated, independently of other variables, with poor survival and decreased recurrence-free survival. Normal breast tissue did not express detectable levels of COMP.
The investigators injected MDA-MB-231breast cancer cells that stably expressed COMP into the mammary fat pads of SCID (CB-17/Icr-Prkdcscid/Rj) mice. They reported in the April 11, 2016, online edition of the journal Oncogene that tumors expressing COMP were significantly larger and were more prone to metastasize as compared with control tumors that did not express the protein.
In vitro experiments confirmed that COMP-expressing cells had a more invasive phenotype, which could in part be attributed to an upregulation of the enzyme matrix metalloprotease-9. Microarray analyses of gene expression in tumors formed in vivo showed that COMP expression induced higher expression of genes protecting against endoplasmic reticulum stress. Furthermore, in vitro measurement of cell respiration indicated that COMP-expressing cells appeared to undergo a metabolic switch, that is, a Warburg effect, in which they produced energy by a high rate of glycolysis followed by lactic acid fermentation in the cytosol, rather than by a comparatively low rate of glycolysis followed by oxidation of pyruvate in mitochondria as in most normal cells.
Based on these results, the investigators concluded that COMP was a novel biomarker in breast cancer, which contributed to the severity of the disease by metabolic switching and increasing invasiveness and tumor cell viability, leading to reduced survival in animal models and human patients.
"We saw a clear association between high levels of COMP and a worse breast cancer prognosis. With more research, COMP has the potential of becoming an indicator of aggressive breast cancer, and thereby providing early and valuable information before deciding on an appropriate treatment," said senior author Dr. Anna Blom, professor of protein chemistry at Lund University.
Related Links:
Lund University
Investigators at Lund University (Malmö, Sweden) using tissue microarrays derived from two cohorts of patients with breast cancer found that the protein COMP (cartilage oligomeric matrix protein), a soluble pentameric protein expressed in cartilage and involved in collagen organization, was expressed to a varying degree in the tumor cells and surrounding stroma. High levels of COMP in tumor cells correlated, independently of other variables, with poor survival and decreased recurrence-free survival. Normal breast tissue did not express detectable levels of COMP.
The investigators injected MDA-MB-231breast cancer cells that stably expressed COMP into the mammary fat pads of SCID (CB-17/Icr-Prkdcscid/Rj) mice. They reported in the April 11, 2016, online edition of the journal Oncogene that tumors expressing COMP were significantly larger and were more prone to metastasize as compared with control tumors that did not express the protein.
In vitro experiments confirmed that COMP-expressing cells had a more invasive phenotype, which could in part be attributed to an upregulation of the enzyme matrix metalloprotease-9. Microarray analyses of gene expression in tumors formed in vivo showed that COMP expression induced higher expression of genes protecting against endoplasmic reticulum stress. Furthermore, in vitro measurement of cell respiration indicated that COMP-expressing cells appeared to undergo a metabolic switch, that is, a Warburg effect, in which they produced energy by a high rate of glycolysis followed by lactic acid fermentation in the cytosol, rather than by a comparatively low rate of glycolysis followed by oxidation of pyruvate in mitochondria as in most normal cells.
Based on these results, the investigators concluded that COMP was a novel biomarker in breast cancer, which contributed to the severity of the disease by metabolic switching and increasing invasiveness and tumor cell viability, leading to reduced survival in animal models and human patients.
"We saw a clear association between high levels of COMP and a worse breast cancer prognosis. With more research, COMP has the potential of becoming an indicator of aggressive breast cancer, and thereby providing early and valuable information before deciding on an appropriate treatment," said senior author Dr. Anna Blom, professor of protein chemistry at Lund University.
Related Links:
Lund University
Latest BioResearch News
- Genome Analysis Predicts Likelihood of Neurodisability in Oxygen-Deprived Newborns
- Gene Panel Predicts Disease Progession for Patients with B-cell Lymphoma
- New Method Simplifies Preparation of Tumor Genomic DNA Libraries
- New Tool Developed for Diagnosis of Chronic HBV Infection
- Panel of Genetic Loci Accurately Predicts Risk of Developing Gout
- Disrupted TGFB Signaling Linked to Increased Cancer-Related Bacteria
- Gene Fusion Protein Proposed as Prostate Cancer Biomarker
- NIV Test to Diagnose and Monitor Vascular Complications in Diabetes
- Semen Exosome MicroRNA Proves Biomarker for Prostate Cancer
- Genetic Loci Link Plasma Lipid Levels to CVD Risk
- Newly Identified Gene Network Aids in Early Diagnosis of Autism Spectrum Disorder
- Link Confirmed between Living in Poverty and Developing Diseases
- Genomic Study Identifies Kidney Disease Loci in Type I Diabetes Patients
- Liquid Biopsy More Effective for Analyzing Tumor Drug Resistance Mutations
- New Liquid Biopsy Assay Reveals Host-Pathogen Interactions
- Method Developed for Enriching Trophoblast Population in Samples
Channels
Clinical Chemistry
view channel
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read more
Compact Raman Imaging System Detects Subtle Tumor Signals
Accurate cancer diagnosis often depends on labor-intensive tissue staining and expert pathological review, which can delay results and limit access to rapid screening. These conventional methods also make... Read moreMolecular Diagnostics
view channel
Sepsis Test Demonstrates Strong Performance in Post-Cardiac Surgery Patients
Sepsis is difficult to diagnose accurately in patients recovering from major surgery, as infection-related symptoms often overlap with non-infectious systemic inflammatory responses. This challenge is... Read more
Next-Gen Automated ELISA System Elevates Laboratory Performance
A next-generation automated ELISA system is designed to elevate laboratory performance through advanced workflow automation, enhanced connectivity, and a modernized user experience. DYNEX Technologies... Read more
At-Home Blood Tests Accurately Detect Key Alzheimer's Biomarkers
Diagnosing Alzheimer’s disease typically relies on brain scans or spinal fluid tests, which are invasive, costly, and difficult to access outside specialist clinics. These barriers have limited large-scale... Read more
Blood Test Combined with MRI Brain Scans Reveals Two Distinct Multiple Sclerosis Types
Multiple sclerosis (MS) affects more than 2.8 million people worldwide, yet predicting how the disease will progress in individual patients remains difficult. Current MS classifications are based on clinical... 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 channel
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 more
Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
Colon cancer remains a major cause of cancer-related illness, with many patients facing relapse even after surgery and chemotherapy. Up to 40% of people with stage III disease experience recurrence, highlighting... Read moreMicrobiology
view channel
New UTI Diagnosis Method Delivers Antibiotic Resistance Results 24 Hours Earlier
Urinary tract infections affect around 152 million people every year, making them one of the most common bacterial infections worldwide. In routine medical practice, diagnosis often relies on rapid urine... Read more
Breakthroughs in Microbial Analysis to Enhance Disease Prediction
Microorganisms shape human health, ecosystems, and the planet’s climate, yet identifying them and understanding how they are related remains a major scientific challenge. Even with modern DNA sequencing,... Read morePathology
view channel
ADLM Updates Expert Guidance on Urine Drug Testing for Patients in Emergency Departments
Urine drug testing plays a critical role in the emergency department, particularly for patients presenting with suspected overdose or altered mental status. Accurate and timely results can directly influence... Read more
New Age-Based Blood Test Thresholds to Catch Ovarian Cancer Earlier
Ovarian cancer affects around one in 50 women during their lifetime, with roughly 7,000 diagnoses each year in the UK. The disease is often detected late because symptoms such as bloating, abdominal pain,... Read moreTechnology
view channel
Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
Detecting cancer early and tracking how it responds to treatment remains a major challenge, particularly when cancer cells are present in extremely low numbers in the bloodstream. Circulating tumor cells... Read more
AI Predicts Colorectal Cancer Survival Using Clinical and Molecular Features
Colorectal cancer is one of the most common and deadly cancers worldwide, and accurately predicting patient survival remains a major clinical challenge. Traditional prognostic tools often rely on either... 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







