Genetic Analysis of Lesions Provides Accurate Esophageal Cancer Test
|
By LabMedica International staff writers Posted on 31 Aug 2016 |

Image: A histopathology showing simple columnar metaplasia of the epithelium of Barrett\'s Esophagus characterized by goblet cell (Photo courtesy of Nephron).
Barrett's Esophagus is a common condition that affects an estimated 1.5 million people in the UK alone, although many are undiagnosed. This condition involves normal cells in the esophagus being replaced by an unusual cell type called Barrett's Esophagus, and is thought to be a consequence of chronic reflux or heartburn.
People with Barrett's have an increased risk of developing esophageal cancer, a neoplasm that has a five year survival of 15% and although the overall lifetime risk of developing esophageal cancer in people with Barrett's is significant, most Barrett's patients will not develop cancer in their lifetime. It is the unfortunate few who will develop an aggressive cancer.
An international team of scientists led by those at the Queen Mary University of London (UK) followed up more than 300 Barrett's patients over three years, and analyzed around 50,000 cells in the process. They performed genetic analysis of individual cells and measured the genetic diversity in each lesion to track it over time. The results validated a previous group's discovery that measurement of the genetic diversity between Barrett's cells in any given lesion is a good predictor of which patients are at high risk of developing cancer. Genetic diversity describes how diverse the genetic make-up of individual cells is in any given group of cells.
In addition, the team found that there were no significant changes in genetic diversity during the three years that the patients were followed. Clonal expansions are rare, being detected once every 36.8 patient years, and growing at an average rate of 1.58 cm2 per year, often involving the p16 locus. This suggests that the genetic diversity amongst a person's Barrett's cells is essentially fixed over time, and mutations have little impact on the lesion's development. Whenever someone's Barrett's is tested, their future risk can be predicted regardless of how soon it is after the appearance of abnormal cells.
Trevor A. Graham PhD, a lecturer in Tumor Biology and senior author of the study said, “Our findings are important because they imply that a person's risk of developing esophageal cancer is fixed over time. In other words, we can predict from the outset which Barrett's patients fall into a high risk group of developing cancer and that risk does not change thereafter.” The study was published on August 19, 2016, in the journal Nature Communications.
Related Links:
Queen Mary University of London
People with Barrett's have an increased risk of developing esophageal cancer, a neoplasm that has a five year survival of 15% and although the overall lifetime risk of developing esophageal cancer in people with Barrett's is significant, most Barrett's patients will not develop cancer in their lifetime. It is the unfortunate few who will develop an aggressive cancer.
An international team of scientists led by those at the Queen Mary University of London (UK) followed up more than 300 Barrett's patients over three years, and analyzed around 50,000 cells in the process. They performed genetic analysis of individual cells and measured the genetic diversity in each lesion to track it over time. The results validated a previous group's discovery that measurement of the genetic diversity between Barrett's cells in any given lesion is a good predictor of which patients are at high risk of developing cancer. Genetic diversity describes how diverse the genetic make-up of individual cells is in any given group of cells.
In addition, the team found that there were no significant changes in genetic diversity during the three years that the patients were followed. Clonal expansions are rare, being detected once every 36.8 patient years, and growing at an average rate of 1.58 cm2 per year, often involving the p16 locus. This suggests that the genetic diversity amongst a person's Barrett's cells is essentially fixed over time, and mutations have little impact on the lesion's development. Whenever someone's Barrett's is tested, their future risk can be predicted regardless of how soon it is after the appearance of abnormal cells.
Trevor A. Graham PhD, a lecturer in Tumor Biology and senior author of the study said, “Our findings are important because they imply that a person's risk of developing esophageal cancer is fixed over time. In other words, we can predict from the outset which Barrett's patients fall into a high risk group of developing cancer and that risk does not change thereafter.” The study was published on August 19, 2016, in the journal Nature Communications.
Related Links:
Queen Mary University of London
Latest Molecular Diagnostics News
- Blood Test Maps Tumor Microenvironment to Predict Immunotherapy Response
- Liquid Biopsy Biomarkers Distinguish Inflammatory Breast Cancer and Support Monitoring
- Multiplex Respiratory Panel Integrates Automated Extraction to Streamline High-Volume Testing
- Whole-Blood RNA Test Predicts Disease Trajectory and Treatment Response
- Blood-Based Epigenetic Test Predicts GLP-1 Response and Tracks Treatment Effects
- Tumor Genomic Testing Guides Immunotherapy Selection in Pituitary Tumors
- Liquid Biopsy Predicts Immunotherapy Response in Breast Cancer
- New Blood Test Distinguishes Pancreatic Cancer From Benign Disease
- Noninvasive Test Confirms High-Risk Prenatal Screening Results from Blood
- Machine-Learning Genetic Risk Score Improves Early Prediction of Type 1 Diabetes
- Rapid Tongue Swab Molecular Test Detects Pulmonary Tuberculosis at Point of Care
- CRISPR-Based Test Identifies Multiple Respiratory Viruses Simultaneously
- Blood Test Receives FDA Breakthrough Status to Differentiate Schizophrenia and Bipolar Disorder
- Portable Test Detects Tuberculosis from Tongue Swabs in 30 Minutes
- Multi-Omic Assay Predicts Recurrence and Radiation Benefit in Early Breast Cancer
- Genomic Risk Score Identifies Inherited Risk for Multiple Cardiovascular Conditions
Channels
Clinical Chemistry
view channel
Ultrasensitive Test Detects Key Biomarker of Frontotemporal Dementia Subtype
Dementia affects more than 57 million people worldwide and is projected to nearly double within two decades, straining health systems and families. While biomarkers now enable accurate identification of... Read more
Routine Blood Tests Years Before Pregnancy Could Identify Preeclampsia Risk
High blood pressure during pregnancy is common and can progress to pre-eclampsia, making close monitoring at antenatal visits essential. However, most risk assessment begins only after pregnancy has started.... Read moreMolecular Diagnostics
view channel
Liquid Biopsy Biomarkers Distinguish Inflammatory Breast Cancer and Support Monitoring
Inflammatory breast cancer is among the most aggressive forms of breast malignancy and remains challenging to diagnose and monitor. Obtaining tumor tissue can be difficult, and standard genome and RNA... Read more
Blood Test Maps Tumor Microenvironment to Predict Immunotherapy Response
Immunotherapy has transformed cancer care, yet durable benefit remains limited to a subset of patients, and clinicians still lack reliable tools to predict response before treatment begins.... Read more
Multiplex Respiratory Panel Integrates Automated Extraction to Streamline High-Volume Testing
Respiratory infections drive heavy testing volumes in clinical laboratories, where accurate, timely results across multiple pathogens are essential. Many labs are seeking to streamline workflows and increase... Read moreHematology
view channel
Advanced CBC-Derived Indices Integrated into Hematology Platforms
Diatron, a STRATEC brand, has introduced six advanced hematological indices on its Aquila, Aquarius 3, and Abacus 5 hematology analyzers. The new Research Use Only (RUO) indices include Neutrophil-to-Lymphocyte... Read more
Blood Test Enables Early Detection of Multiple Myeloma Relapse
Bone marrow biopsies remain central to diagnosing and monitoring multiple myeloma, yet the procedure is painful, invasive, and often repeated over time. Older patients—who represent most new cases—can... Read moreImmunology
view channel
Point-of-Care Tests Could Expand Access to Mpox Diagnosis
Mpox outbreaks in non-endemic regions have underscored the need for rapid, accessible diagnostics to limit transmission. Polymerase chain reaction (PCR) remains the clinical reference, yet it depends on... Read more
T-Cell Senescence Profiling May Predict CAR T Responses
Chimeric antigen receptor (CAR) T-cell therapy can deliver striking, durable remissions, yet many patients experience minimal or no benefit. The quality of patient-derived cytotoxic T lymphocytes used... Read moreMicrobiology
view channel
Rapid Antigen Biosensor Detects Active Tuberculosis in One Hour
Tuberculosis remains a major global health challenge and continues to drive significant morbidity and mortality. The World Health Organization’s 2024 global report cites it as the leading cause of death... Read more
Oral–Gut Microbiome Signatures Identify Early Gastric Cancer
Early detection of gastric cancer could be advanced by scalable screening strategies using minimally invasive sampling. Saliva collection is noninvasive and cost-effective, supporting wider adoption... Read moreTechnology
view channel
Tumor-on-a-Chip Platform Models Pancreatic Cancer Treatment Response
Pancreatic cancer remains one of the hardest malignancies to treat because tumors are embedded within a dense microenvironment that shapes growth and therapy response. Standard laboratory models often... Read more
New Platform Captures Extracellular Vesicles for Early Cancer Detection
Early diagnosis remains the most effective way to reduce cancer mortality, yet many screening tools miss disease at its earliest stages. Biomarkers shed by tumors into blood and other fluids can be scarce... Read moreIndustry
view channel
Roche to Acquire PathAI for Up to $1.05 Billion to Strengthen AI Diagnostics Portfolio
Roche has entered into a definitive merger agreement to acquire PathAI, a company focused on digital pathology and artificial intelligence for pathology laboratories and the biopharma industry.... Read more








