Routine Blood Tests Gauge Liver Cancer Risk
By LabMedica International staff writers Posted on 31 Oct 2012 |
Enzyme levels in the blood routinely monitored by physicians as liver function indicators are also the best predictor of liver cancer risk.
Elevated levels of two enzymes, alanine transaminase (ALT) and aspartate transaminase (AST), which are involved in producing amino acids, are an indicator of liver damage.
A team of scientists at the National Health Research Institutes (Taipei, Taiwan) and the MD Anderson Cancer Center (Houston, TX, USA) carried out a prospective study evaluating comprehensive medical, demographic and lifestyle data from 428,584 people in Taiwan from 1994 to 2008, with average follow-up of 8.5 years.
The researchers divided study participants into two groups: the 130,533 who had known Hepatitis C (HCV) test results and the other 298,051. They found 1,668 cases of liver cancer. The researchers developed their risk prediction models by dividing each cohort in half, which allowed them to base the model on one set and then validate the model in the second set. Five models were analyzed: health history alone, transaminase enzymes alone, health history plus transaminases, and a model that added Hepatitis B (HBV) status and alpha-fetoprotein levels to the third model. The fifth model added HCV, including all five factors.
The model that relied only on levels of the enzymes alanine transaminase (ALT) and aspartate transaminase (AST) predicted 91.2% of cancer cases. The scientists found that levels of ALT or AST at or above 25 international units per liter (IU/L) of blood were predictive of cancer risk. This is less than the 40 IU/L commonly defined as the upper limit of normal levels. A person with HBV, but with abnormal transaminase, had a probability of 38.2% of having liver cancer in 10 years. A person with HBV and normal transaminases would have only a 0.3% risk at 10 years if other risk factors were equal to the first person.
Xifeng Wu, MD, PhD, the senior author of the study, said, "These two enzymes alone predicted 91% of liver cancer cases in our prospective study. If our results are confirmed in other studies, we'd have a measure for liver cancer risk that's easy to apply via a simple blood test that's already in widespread clinical use.” The study was published on October 16, 2012, in the Journal of the National Cancer Institute.
Related Links:
Taiwanese National Health Research Institutes
MD Anderson Cancer Center
Elevated levels of two enzymes, alanine transaminase (ALT) and aspartate transaminase (AST), which are involved in producing amino acids, are an indicator of liver damage.
A team of scientists at the National Health Research Institutes (Taipei, Taiwan) and the MD Anderson Cancer Center (Houston, TX, USA) carried out a prospective study evaluating comprehensive medical, demographic and lifestyle data from 428,584 people in Taiwan from 1994 to 2008, with average follow-up of 8.5 years.
The researchers divided study participants into two groups: the 130,533 who had known Hepatitis C (HCV) test results and the other 298,051. They found 1,668 cases of liver cancer. The researchers developed their risk prediction models by dividing each cohort in half, which allowed them to base the model on one set and then validate the model in the second set. Five models were analyzed: health history alone, transaminase enzymes alone, health history plus transaminases, and a model that added Hepatitis B (HBV) status and alpha-fetoprotein levels to the third model. The fifth model added HCV, including all five factors.
The model that relied only on levels of the enzymes alanine transaminase (ALT) and aspartate transaminase (AST) predicted 91.2% of cancer cases. The scientists found that levels of ALT or AST at or above 25 international units per liter (IU/L) of blood were predictive of cancer risk. This is less than the 40 IU/L commonly defined as the upper limit of normal levels. A person with HBV, but with abnormal transaminase, had a probability of 38.2% of having liver cancer in 10 years. A person with HBV and normal transaminases would have only a 0.3% risk at 10 years if other risk factors were equal to the first person.
Xifeng Wu, MD, PhD, the senior author of the study, said, "These two enzymes alone predicted 91% of liver cancer cases in our prospective study. If our results are confirmed in other studies, we'd have a measure for liver cancer risk that's easy to apply via a simple blood test that's already in widespread clinical use.” The study was published on October 16, 2012, in the Journal of the National Cancer Institute.
Related Links:
Taiwanese National Health Research Institutes
MD Anderson Cancer Center
Latest Clinical Chem. News
- Carbon Nanotubes Help Build Highly Accurate Sensors for Continuous Health Monitoring
- Paper-Based Device Boosts HIV Test Accuracy from Dried Blood Samples
- AI-Powered Raman Spectroscopy Method Enables Rapid Drug Detection in Blood
- Novel LC-MS/MS Assay Detects Low Creatinine in Sweat and Saliva
- Biosensing Technology Breakthrough Paves Way for New Methods of Early Disease Detection
- New Saliva Test Rapidly Identifies Paracetamol Overdose
- POC Saliva Testing Device Predicts Heart Failure in 15 Minutes
- Screening Tool Detects Multiple Health Conditions from Single Blood Drop
- Integrated Chemistry and Immunoassay Analyzer with Extensive Assay Menu Offers Flexibility, Scalability and Data Commutability
- Rapid Drug Test to Improve Treatment for Patients Presenting to Hospital
- AI Model Detects Cancer at Lightning Speed through Sugar Analyses
- First-Ever Blood-Powered Chip Offers Real-Time Health Monitoring
- New ADLM Guidance Provides Expert Recommendations on Clinical Testing For Respiratory Viral Infections
- 3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models
- POC Biomedical Test Spins Water Droplet Using Sound Waves for Cancer Detection
- Highly Reliable Cell-Based Assay Enables Accurate Diagnosis of Endocrine Diseases
Channels
Molecular Diagnostics
view channel
RNA-Based Blood Test Detects Preeclampsia Risk Months Before Symptoms
Preeclampsia remains a major cause of maternal morbidity and mortality, as well as preterm births. Despite current guidelines that aim to identify pregnant women at increased risk of preeclampsia using... Read more
First Of Its Kind Test Uses microRNAs to Predict Toxicity from Cancer Therapy
Many men with early-stage prostate cancer receive stereotactic body radiotherapy (SBRT), a highly precise form of radiation treatment that is completed in just five sessions. Compared to traditional radiation,... Read more
Novel Cell-Based Assay Provides Sensitive and Specific Autoantibody Detection in Demyelination
Anti-myelin-associated glycoprotein (MAG) antibodies serve as markers for an autoimmune demyelinating disorder that affects the peripheral nervous system, leading to sensory impairment. Anti-MAG-IgM antibodies... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Deliver Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
Myasthenia gravis, an autoimmune disease, leads to muscle weakness that can affect a range of muscles, including those needed for basic actions like blinking, smiling, or moving. Researchers have long... Read more
AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
Lung adenocarcinoma, the most common form of non-small cell lung cancer (NSCLC), typically adopts one of six distinct growth patterns, often combining multiple patterns within a single tumor.... Read moreTechnology
view channel
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more