Liquid Biopsy Could Identify Advanced Breast Cancer Patients
|
By LabMedica International staff writers Posted on 09 Aug 2017 |

Image: The Ion Ampliseq library preparation kits (Photo courtesy of Thermo Fisher Scientific).
A novel blood test has been developed that measures genetic changes in circulating cancer DNA that could help identify patients with metastatic breast cancer who could benefit from a change of treatment.
Somatic mutation profiling of breast tumor tissues has identified a number of distinct breast cancer molecular subtypes characterized by diverse somatic mutations, including single nucleotide variants (SNVs) and copy number alterations (CNAs).
Scientists at the University of Leicester (Leicester, UK) recruited 42 patients with radiological-confirmed metastatic breast cancer (MBC) and nine women attending for breast screening mammography as age-matched controls. Blood samples were collected and the plasma processed using the Circulating Nucleic Acids kit.
The team designed a custom 158-amplicon panel (size range 125–175 bp) across 16 genes based on previous studies and publically available databases. Library preparation and Personal Genome Machine (PGM) sequencing were performed using the Ion Ampliseq library preparation kit. Droplet digital polymerase chain reaction (ddPCR) was used to validate tumor protein p53 (TP53), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), and estrogen receptor 1 (ESR1) mutations.
The scientists identified no mutations in cell free DNA (cfDNA) of healthy controls, whereas exactly half the patients with metastatic breast cancer had at least one mutation or amplification in cfDNA (mean 2, range 1–6) across a total of 13 genes. Longitudinal follow up showed dynamic changes to mutations and gene amplification in cfDNA indicating clonal and subclonal response to treatment that was more dynamic than cancer antigen 15-3 (CA15-3).
At the time of blood sampling disease progression was occurring in seven patients with erb-b2 receptor tyrosine kinase 2 (ERBB2) gene amplification in their cfDNA and three of these patients were human epidermal growth factor receptor 2 (HER2) negative at diagnosis, suggesting clonal evolution to a more aggressive phenotype. Six of the women with hormone-driven cancers had mutations in the ESR1 gene, which has been linked to resistance to anti-hormone treatments.
David Guttery, PhD, a leading author of the study, said, “We have developed a novel blood test that can simultaneously detect somatic mutations and copy number alterations that are integral in driving the growth of breast cancer. By analyzing blood plasma to measure for cancer-specific changes to key breast cancer genes, including the HER2 and estrogen receptor genes, we hope this test could help doctors and patients choose the best treatment at the best time.” The study was described by Professor Jacqui A. Shaw, PhD, in an oral presentation at the Frank May Prize Lecture on June 26, 2017, at the University of Leicester.
Related Links:
University of Leicester
Somatic mutation profiling of breast tumor tissues has identified a number of distinct breast cancer molecular subtypes characterized by diverse somatic mutations, including single nucleotide variants (SNVs) and copy number alterations (CNAs).
Scientists at the University of Leicester (Leicester, UK) recruited 42 patients with radiological-confirmed metastatic breast cancer (MBC) and nine women attending for breast screening mammography as age-matched controls. Blood samples were collected and the plasma processed using the Circulating Nucleic Acids kit.
The team designed a custom 158-amplicon panel (size range 125–175 bp) across 16 genes based on previous studies and publically available databases. Library preparation and Personal Genome Machine (PGM) sequencing were performed using the Ion Ampliseq library preparation kit. Droplet digital polymerase chain reaction (ddPCR) was used to validate tumor protein p53 (TP53), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), and estrogen receptor 1 (ESR1) mutations.
The scientists identified no mutations in cell free DNA (cfDNA) of healthy controls, whereas exactly half the patients with metastatic breast cancer had at least one mutation or amplification in cfDNA (mean 2, range 1–6) across a total of 13 genes. Longitudinal follow up showed dynamic changes to mutations and gene amplification in cfDNA indicating clonal and subclonal response to treatment that was more dynamic than cancer antigen 15-3 (CA15-3).
At the time of blood sampling disease progression was occurring in seven patients with erb-b2 receptor tyrosine kinase 2 (ERBB2) gene amplification in their cfDNA and three of these patients were human epidermal growth factor receptor 2 (HER2) negative at diagnosis, suggesting clonal evolution to a more aggressive phenotype. Six of the women with hormone-driven cancers had mutations in the ESR1 gene, which has been linked to resistance to anti-hormone treatments.
David Guttery, PhD, a leading author of the study, said, “We have developed a novel blood test that can simultaneously detect somatic mutations and copy number alterations that are integral in driving the growth of breast cancer. By analyzing blood plasma to measure for cancer-specific changes to key breast cancer genes, including the HER2 and estrogen receptor genes, we hope this test could help doctors and patients choose the best treatment at the best time.” The study was described by Professor Jacqui A. Shaw, PhD, in an oral presentation at the Frank May Prize Lecture on June 26, 2017, at the University of Leicester.
Related Links:
University of Leicester
Latest Pathology News
- Collaboration Applies AI Pathology to Predict Response to Antibody-Drug Conjugates
- Biomarker Predicts Immunotherapy Response and Prognosis in Colorectal Cancer
- AI Improves Completeness of Complex Cancer Pathology Reports
- AI Tool Predicts Chemotherapy Response in Small Cell Lung Cancer
- Tumor-Specific Biomarker Predicts Neoadjuvant Immunotherapy Response in Gastric Cancer
- AI Tool Predicts Patient-Specific Chemotherapy Benefit in Breast Cancer
- AI-Based Pathology Model Guides Chemotherapy Decisions in Breast Cancer
- Biopsy-Based Gene Test Predicts Recurrence Risk in Lung Adenocarcinoma
- New Chromogenic Culture Media Enable Rapid Detection of Candida Infections
- AI-Powered Tool to Transform Dermatopathology Workflow
- AI Tool Predicts Chemotherapy Response from Biopsy Slides
- Sex Differences in Alzheimer’s Biomarkers Linked to Faster Cognitive Decline
- World’s First Optical Microneedle Device to Enable Blood-Sampling-Free Clinical Testing
- Novel mcPCR Technology to Transform Testing of Clinical Samples
- Pathogen-Agnostic Testing Reveals Hidden Respiratory Threats in Negative Samples
- Molecular Imaging to Reduce Need for Melanoma Biopsies
Channels
Clinical Chemistry
view channel
Blood Test Predicts Alzheimer Disease Risk Before Imaging Changes and Symptoms
Alzheimer's disease often advances silently for years, making timely risk stratification difficult in routine practice. Current approaches to detect pathology can involve lumbar puncture or positron emission... Read more
Study Finds ApoB Testing More Effective Than LDL for Guiding Lipid Therapy
Routine blood tests that measure low-density lipoprotein (LDL), commonly known as “bad” cholesterol, are widely used to guide lipid-lowering therapy, but they do not always provide a complete picture of... Read more
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 moreHematology
view channel
Routine Blood Test Parameters Link Anemia to Cancer Risk and Mortality
Anemia detected in routine care can signal underlying pathology and is frequently encountered in adults. Because it is defined by hemoglobin levels below the normal range, it is often evaluated with red... Read more
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 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 channelRapid Color Test Stratifies Virulent and Resistant Staph Strains
Staphylococcus aureus (golden staph) remains a leading cause of infection-related mortality worldwide, responsible for more than a million deaths each year. Rapidly distinguishing highly virulent or a... Read more
Syndromic Panel Enables Rapid Identification of Bloodstream Infections
Bloodstream infections require rapid identification of causative pathogens and resistance determinants to guide therapy, yet laboratories often face pressure to deliver clinically relevant results quickly... Read more
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 channel
Biomarker Predicts Immunotherapy Response and Prognosis in Colorectal Cancer
Colorectal cancer is common and often lethal, and therapeutic decision-making is complicated by heterogeneous tumor microenvironments. Immunotherapy benefits only a small subset of patients, around 5%,... Read more
Collaboration Applies AI Pathology to Predict Response to Antibody-Drug Conjugates
Antibody-drug conjugates (ADC) are reshaping oncology, yet scalable biomarkers that reliably predict which patients will benefit remain limited as treatment regimens and combinations grow more complex.... Read moreTechnology
view channel
AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
Advanced bowel cancer remains difficult to treat, and many patients receive targeted therapies that do not help them but still cause harm. Clinicians need reliable ways to identify likely responders before... Read more
Integrated System Streamlines Pre-Analytical Workflow for Molecular Testing
Pre-analytical variation remains a leading source of inconsistent molecular test results and added costs, particularly when laboratories rely on multiple instruments and protocols. Standardizing nucleic... Read moreIndustry
view channel
Partnership Expands Ultrasensitive WGS Assay for for Hematologic Malignancies and MRD Monitoring
Tempus AI and Predicta Biosciences announced the commercial expansion of a co-branded whole‑genome sequencing assay GenoPredicta, which is intended for comprehensive genomic characterization of hematologic... Read more







