Molecular Blood Test Detects Lung Cancer
By LabMedica International staff writers Posted on 04 Feb 2014 |

Image: The mirVana PARIS RNA and Native Protein Purification Kit (Photo courtesy of Life Technologies).
The diagnostic performance of a noninvasive plasma micro-ribonucleic acid (miRNA) signature classifier (MSC) has been retrospectively evaluated in samples collected from smokers.
Recent screening trial results indicate that low-dose computed tomography (LDCT) reduces lung cancer mortality in high-risk patients, but high false-positive rates, costs, and potential harms highlight the need for complementary biomarkers.
Scientists from the Istituto Nazionale dei Tumori (Milan, Italy) and their colleagues prospectively collected blood samples from 939 heavy smokers from the randomized lung cancer screening trial comparing LDCT versus observation from the Multicentric Italian Lung Detection [MILD] trial. The microRNA signature classifier (MSC) Lung Cancer assay is a 24-miRNA expression signature assay.
Total RNA was extracted from samples with the mirVana PARIS Kit (Life Technologies, Carlsbad, CA, USA). The miRNA expression was determined by using the Life Technologies’ Multiplex Pools Protocol on custom-made microfluidics card containing the 24 miRNAs spotted on duplicates. Plasma samples obtained before or at diagnosis from the 939 participants across LDCT and observational groups were analyzed by using a real-time reverse transcriptase polymerase chain reaction (RT-PCR)–based assay with a prespecified MSC algorithm of low, intermediate, and high risk of cancer groups.
The MSC Lung Cancer assay demonstrated an overall sensitivity of 87% for the presence of lung cancer. For all subjects, the MSC Lung Cancer assay had negative predictive values (NPVs) of 99% and 99.86% for detection and death-by-disease (lung cancer), respectively, indicating the test's high specificity for correctly identifying subjects without lung cancer. The high specificity of the MSC Lung Cancer assay resulted in a five-fold reduction in the false positive rate of LDCT-identified suspicious lung nodules in heavy smokers that did not have lung cancer.
The authors concluded that MSC had satisfactory diagnostic performance for early detection of lung cancer within this large validation study of plasma samples prospectively collected from 939 participants enrolled onto the randomized MILD screening trial. Gabriele Cerrone is the founder and executive chairman of GENSIGNIA (San Diego, CA, USA), the molecular diagnostic company that intends to introduce a lung cancer diagnostic test initially in the USA in 2014. Mr. Cerrone said, “In combination with a LDCT, the MSC Lung Cancer assay significantly reduces the false positive rate, which can translate in substantial savings for the global healthcare system by avoiding the need for additional workups and scans required to confirm diagnosis.” The study was published on January 13, 2014, in the Journal of Clinical Oncology.
Related Links:
Istituto Nazionale dei Tumori
Life Technologies
GENSIGNIA
Recent screening trial results indicate that low-dose computed tomography (LDCT) reduces lung cancer mortality in high-risk patients, but high false-positive rates, costs, and potential harms highlight the need for complementary biomarkers.
Scientists from the Istituto Nazionale dei Tumori (Milan, Italy) and their colleagues prospectively collected blood samples from 939 heavy smokers from the randomized lung cancer screening trial comparing LDCT versus observation from the Multicentric Italian Lung Detection [MILD] trial. The microRNA signature classifier (MSC) Lung Cancer assay is a 24-miRNA expression signature assay.
Total RNA was extracted from samples with the mirVana PARIS Kit (Life Technologies, Carlsbad, CA, USA). The miRNA expression was determined by using the Life Technologies’ Multiplex Pools Protocol on custom-made microfluidics card containing the 24 miRNAs spotted on duplicates. Plasma samples obtained before or at diagnosis from the 939 participants across LDCT and observational groups were analyzed by using a real-time reverse transcriptase polymerase chain reaction (RT-PCR)–based assay with a prespecified MSC algorithm of low, intermediate, and high risk of cancer groups.
The MSC Lung Cancer assay demonstrated an overall sensitivity of 87% for the presence of lung cancer. For all subjects, the MSC Lung Cancer assay had negative predictive values (NPVs) of 99% and 99.86% for detection and death-by-disease (lung cancer), respectively, indicating the test's high specificity for correctly identifying subjects without lung cancer. The high specificity of the MSC Lung Cancer assay resulted in a five-fold reduction in the false positive rate of LDCT-identified suspicious lung nodules in heavy smokers that did not have lung cancer.
The authors concluded that MSC had satisfactory diagnostic performance for early detection of lung cancer within this large validation study of plasma samples prospectively collected from 939 participants enrolled onto the randomized MILD screening trial. Gabriele Cerrone is the founder and executive chairman of GENSIGNIA (San Diego, CA, USA), the molecular diagnostic company that intends to introduce a lung cancer diagnostic test initially in the USA in 2014. Mr. Cerrone said, “In combination with a LDCT, the MSC Lung Cancer assay significantly reduces the false positive rate, which can translate in substantial savings for the global healthcare system by avoiding the need for additional workups and scans required to confirm diagnosis.” The study was published on January 13, 2014, in the Journal of Clinical Oncology.
Related Links:
Istituto Nazionale dei Tumori
Life Technologies
GENSIGNIA
Latest Molecular Diagnostics News
- Novel Point-of-Care Technology Delivers Accurate HIV Results in Minutes
- Blood Test Rules Out Future Dementia Risk
- D-Dimer Testing Can Identify Patients at Higher Risk of Pulmonary Embolism
- New Biomarkers to Improve Early Detection and Monitoring of Kidney Injury
- Chemiluminescence Immunoassays Support Diagnosis of Alzheimer’s Disease
- Blood Test Identifies Multiple Biomarkers for Rapid Diagnosis of Spinal Cord Injury
- Highly Accurate Blood Test Diagnoses Alzheimer’s and Measures Dementia Progression
- Simple DNA PCR-Based Lab Test to Enable Personalized Treatment of Bacterial Vaginosis
- Rapid Diagnostic Test to Halt Mother-To-Child Hepatitis B Transmission
- Simple Urine Test Could Help Patients Avoid Invasive Scans for Kidney Cancer
- New Bowel Cancer Blood Test to Improve Early Detection
- Refined Test Improves Parkinson’s Disease Diagnosis
- New Method Rapidly Diagnoses CVD Risk Via Molecular Blood Screening
- Blood Test Shows Promise for Early Detection of Dementia
- CRISPR-Based Diagnostic Test Detects Pathogens in Blood Without Amplification
- Portable Blood-Based Device Detects Colon Cancer
Channels
Clinical Chemistry
view channel
Carbon Nanotubes Help Build Highly Accurate Sensors for Continuous Health Monitoring
Current sensors can measure various health indicators, such as blood glucose levels, in the body. However, there is a need to develop more accurate and sensitive sensor materials that can detect lower... Read more
Paper-Based Device Boosts HIV Test Accuracy from Dried Blood Samples
In regions where access to clinics for routine blood tests presents financial and logistical obstacles, HIV patients are increasingly able to collect and send a drop of blood using paper-based devices... 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
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 more
Post-Treatment Blood Test Could Inform Future Cancer Therapy Decisions
In the ongoing advancement of personalized medicine, a new study has provided evidence supporting the use of a tool that detects cancer-derived molecules in the blood of lung cancer patients years after... Read moreMicrobiology
view channel
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 moreInnovative ID/AST System to Help Diagnose Infectious Diseases and Combat AMR
Each year, 11 million people across the world die of sepsis out of which 1.3 million deaths are due to antibiotic-resistant bacteria. The burden of antimicrobial resistance (AMR) continues to weigh heavily,... Read more
Gastrointestinal Panel Delivers Rapid Detection of Five Common Bacterial Pathogens for Outpatient Use
Acute infectious gastroenteritis results in approximately 179 million cases each year in the United States, leading to a significant number of outpatient visits and hospitalizations. To address this, a... Read morePathology
view channel
AI Model Predicts Patient Response to Bladder Cancer Treatment
Each year in the United States, around 81,000 new cases of bladder cancer are diagnosed, leading to approximately 17,000 deaths annually. Muscle-invasive bladder cancer (MIBC) is a severe form of bladder... Read more
New Laser-Based Method to Accelerate Cancer Diagnosis
Researchers have developed a method to improve cancer diagnostics and other diseases. Collagen, a key structural protein, plays various roles in cell activity. A novel multidisciplinary study published... Read more
New AI Model Predicts Gene Variants’ Effects on Specific Diseases
In recent years, artificial intelligence (AI) has greatly enhanced our ability to identify a vast number of genetic variants in increasingly larger populations. However, up to half of these variants are... Read more
Powerful AI Tool Diagnoses Coeliac Disease from Biopsy Images with Over 97% Accuracy
Coeliac disease is an autoimmune disorder triggered by the consumption of gluten, causing symptoms such as stomach cramps, diarrhea, skin rashes, weight loss, fatigue, and anemia. Due to the wide variation... Read moreTechnology
view channel
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 more
Smartphones Could Diagnose Diseases Using Infrared Scans
Rapid advancements in technology may soon make it possible for individuals to bypass invasive medical procedures by simply uploading a screenshot of their lab results from their phone directly to their doctor.... Read more
Novel Sensor Technology to Enable Early Diagnoses of Metabolic and Cardiovascular Disorders
Metabolites are critical compounds that fuel life's essential functions, playing a key role in producing energy, regulating cellular activities, and maintaining the balance of bodily systems.... Read more
3D Printing Breakthrough Enables Large Scale Development of Tiny Microfluidic Devices
Microfluidic devices are diagnostic systems capable of analyzing small volumes of materials with precision and speed. These devices are used in a variety of applications, including cancer cell analysis,... Read moreIndustry
view channel
New Collaboration to Advance Microbial Identification for Infectious Disease Diagnostics
With the rise of global pandemics, antimicrobial resistance, and emerging pathogens, healthcare systems worldwide are increasingly dependent on advanced diagnostic tools to guide clinical decisions.... Read more