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
- Single-Cell Method Measures RNA and Proteins to Reveal Immune Responses
- Study Links Midlife Vitamin D to Lower Tau in Alzheimer's
- International Consensus Standardizes Tumor Microbiota Detection and Reporting
- Common Metablolic Enzyme Could Predict Response to Cancer Immunotherapy
- Newly Identfied Genetic Variants in MND Support Prognosis and Family Testing
- Innate Immunity Variants Associated With Earlier Breast Cancer in BRCA1 Carriers
- Genetic Cause Identified for Severe Infant Epilepsy
- Study Reveals Diagnostic and Therapeutic Target in Rare Pancreatic Tumors
- Researchers Identify Survival Pathway Undermining Targeted Cancer Drugs
- Large-Scale Study Maps DNA Damage Signatures Across Multiple Cancers
- Study Identifies Distinct Immune Signatures to Early Depression and Psychosis
- Genetic Mutation Behind Aggressive Adult Leukemia Offers Treatment Clues
- Disease Gene Discovery Advances Diagnosis of Rare Movement Disorders
- Genetic Discovery Could Improve Diagnosis of Drug-Resistant Epilepsy
- Genetic Discovery May Improve Diagnosis of Rare Dementia Subtype
- Mass Spectrometry Technique Detects Protein and Sugar Changes in Neurodegeneration
Channels
Clinical Chemistry
view channel
AI-Enabled POC Test Quantifies Multiple Cardiac Biomarkers
Cardiovascular diseases are a leading cause of death, responsible for nearly 20 million deaths each year. Timely triage of myocardial infarction and heart failure hinges on rapid cardiac biomarker measurement,... Read moreNext Generation Automated Analyzers Increase Throughput for Clinical Chemistry and Electrolyte Testing
Clinical laboratories continue to face staffing shortages, limited space, and growing test volumes that pressure chemistry and electrolyte workflows. Maintaining rapid turnaround times increasingly depends... Read moreMolecular Diagnostics
view channel
Extracellular Vesicle RNA Biomarkers Enable Noninvasive IBD Diagnosis and Monitoring
Inflammatory bowel disease (IBD) is a chronic, relapsing gastrointestinal condition whose incidence is rising in industrialized and newly industrialized countries, with prevalence in early‑industrialized... Read more
FDA Clears At-Home HPV Test with Extended Genotyping for Cervical Screening
Cervical cancer is largely preventable through regular screening and early detection of human papillomavirus (HPV), which causes nearly all cases. Yet roughly 60% of cervical cancers occur in people who... Read moreHematology
view channel
Prognostic Tool Guides Personalized Treatment in Rare Blood Cancer
Chronic myelomonocytic leukemia (CMML) is a rare blood cancer in which acquired genetic mutations in bone marrow stem cells drive disease. Stem cell transplantation is the only curative option but carries... Read more
New Platelet Function Assay Enables Monitoring of Antiplatelet Therapy
Monitoring response to antiplatelet therapy remains challenging for many clinical laboratories. Aggregation-based assays and cartridge systems often require specialized personnel, dedicated instruments,... Read moreImmunology
view channel
Study Finds Influenza Often Undiagnosed in Winter Deaths
Seasonal influenza drives substantial excess mortality, yet its contribution is often obscured when infections go undiagnosed near the time of death. Many deaths occur outside hospitals or in older adults... Read moreCombined Screening Approach Identifies Early Leprosy Cases
Leprosy remains a significant public health concern, with more than 200,000 new cases reported globally each year and early disease often escaping routine laboratory detection. In its initial phase, bacterial... Read moreMicrobiology
view channel
RNA-Based Workflow Identifies Active Skin Microbes for Dermatology Research
Human skin carries diverse microbial communities that influence barrier function and inflammation, yet identifying which organisms are metabolically active has been challenging. DNA-based surveys catalog... Read more
Cost-Effective Sampling and Sequencing Workflow Identifies ICU Infection Hotspots
Intensive care units face persistent threats from hospital-acquired infections, increasingly driven by drug-resistant bacteria. Rapidly pinpointing environmental reservoirs and transmission hotspots remains... Read morePathology
view channelAI Improves Completeness of Complex Cancer Pathology Reports
Oncology teams increasingly rely on pathology reports that integrate histopathology, immunohistochemistry, and rapidly expanding biomarker testing. As patients live longer and undergo repeated analyses... Read more
AI Tool Predicts Chemotherapy Response in Small Cell Lung Cancer
Small cell lung cancer often presents at an extensive stage and progresses rapidly, leaving little time to tailor first-line therapy. Clinicians currently lack biomarkers to guide which patients will benefit... Read more
Tumor-Specific Biomarker Predicts Neoadjuvant Immunotherapy Response in Gastric Cancer
Gastric cancer is the fifth most common malignancy and the fourth leading cause of cancer mortality worldwide, with China bearing nearly half of the global burden. Only a subset of patients benefit from... Read moreTechnology
view channel
Noninvasive Sputum Test Detects Early Lung Cancer
Early detection remains critical for improving outcomes in lung cancer, yet clinicians increasingly encounter indeterminate pulmonary nodules found incidentally or through screening, complicating decision-making.... Read more
New AI Tool Enables Rapid Treatment Selection in Pediatric Leukemia
Children with T-cell acute lymphoblastic leukemia face an aggressive disease that remains difficult to treat. Although remission rates have improved, many survivors experience long-term effects from intensive... Read more
Breakthrough Mass Spectrometry Design Could Enable Ultra-Low Abundance Detection
Mass spectrometry is central to identifying and quantifying molecules in complex biological samples, but conventional instruments typically analyze ions sequentially, which can limit detection of rare species.... Read moreIndustry
view channel







