Lung Cancer Liquid Biopsy Guides MRD-Directed Adjuvant Therapy
By LabMedica International staff writers Posted on 11 Feb 2020 |

Image: Workflow of cancer personalized profiling by deep sequencing (CAPP-Seq) circulating tumor-DNA analysis (ctDNA) (Photo courtesy of Rashedul Islam Rony, PhD).
Minimal residual disease (MRD) is the name given to small numbers of leukemic cells (cancer cells from the bone marrow) that remain in the person during treatment or after treatment when the patient is in remission or have no symptoms or signs of disease.
Circulating tumor DNA is tumor-derived fragmented DNA in the bloodstream that is not associated with cells. Circulating tumor DNA (ctDNA) molecular residual disease (MRD) following curative-intent treatment strongly predicts recurrence in multiple tumor types, but whether further treatment can improve outcomes in patients with MRD is unclear.
Oncology specialists at Stanford University (Stanford, CA, USA) and their associates from different institutions applied cancer personalized profiling by deep sequencing (CAPP-Seq) ctDNA analysis to 218 samples from 65 patients receiving chemoradiation therapy for locally advanced non-small-cell lung cancer, including 28 patients receiving consolidation immune checkpoint inhibition (ICI).
The study found that patients with ctDNA evidence of MRD after chemoradiation therapy who then received consolidation ICI had significantly better outcomes than patients with signs of MRD who did not receive consolidation ICI therapy. In contrast patients with undetectable ctDNA after chemoradiation therapy had what the authors called "excellent outcomes" whether or not they received consolidation ICI. Importantly though, one of these patients who showed complete clearance of ctDNA also suffered a significant adverse event, pneumonitis, related to the consolidation ICI. According to authors, the results as a whole provide evidence for the potential utility of using ctDNA tests to define which patients should get immunotherapy treatment, and which might safely avoid it and its potential complications.
Maximillian Diehn, MD, PhD, an associate professor of radiation oncology and a senior author of the study, said, “Our Capp-seq method appears to be very sensitive and to have excellent clinical performance in these locally advanced lung cancer patients, where with a panel design we can find a significant number of mutations in the average patient. However, applying the same method in sarcoma, for example, would likely fail, because these tumors don't show many recurrent mutations.”
The authors concluded that their results suggest that consolidation ICI improves outcomes for non-small-cell lung cancer patients with MRD and that ctDNA analysis may facilitate personalization of consolidation therapy. The study was published on January 20, 2020 in the journal Nature Cancer.
Related Links:
Stanford University
Circulating tumor DNA is tumor-derived fragmented DNA in the bloodstream that is not associated with cells. Circulating tumor DNA (ctDNA) molecular residual disease (MRD) following curative-intent treatment strongly predicts recurrence in multiple tumor types, but whether further treatment can improve outcomes in patients with MRD is unclear.
Oncology specialists at Stanford University (Stanford, CA, USA) and their associates from different institutions applied cancer personalized profiling by deep sequencing (CAPP-Seq) ctDNA analysis to 218 samples from 65 patients receiving chemoradiation therapy for locally advanced non-small-cell lung cancer, including 28 patients receiving consolidation immune checkpoint inhibition (ICI).
The study found that patients with ctDNA evidence of MRD after chemoradiation therapy who then received consolidation ICI had significantly better outcomes than patients with signs of MRD who did not receive consolidation ICI therapy. In contrast patients with undetectable ctDNA after chemoradiation therapy had what the authors called "excellent outcomes" whether or not they received consolidation ICI. Importantly though, one of these patients who showed complete clearance of ctDNA also suffered a significant adverse event, pneumonitis, related to the consolidation ICI. According to authors, the results as a whole provide evidence for the potential utility of using ctDNA tests to define which patients should get immunotherapy treatment, and which might safely avoid it and its potential complications.
Maximillian Diehn, MD, PhD, an associate professor of radiation oncology and a senior author of the study, said, “Our Capp-seq method appears to be very sensitive and to have excellent clinical performance in these locally advanced lung cancer patients, where with a panel design we can find a significant number of mutations in the average patient. However, applying the same method in sarcoma, for example, would likely fail, because these tumors don't show many recurrent mutations.”
The authors concluded that their results suggest that consolidation ICI improves outcomes for non-small-cell lung cancer patients with MRD and that ctDNA analysis may facilitate personalization of consolidation therapy. The study was published on January 20, 2020 in the journal Nature Cancer.
Related Links:
Stanford University
Latest Pathology News
- Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
- AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
- AI Model Predicts Patient Response to Bladder Cancer Treatment
- New Laser-Based Method to Accelerate Cancer Diagnosis
- New AI Model Predicts Gene Variants’ Effects on Specific Diseases
- Powerful AI Tool Diagnoses Coeliac Disease from Biopsy Images with Over 97% Accuracy
- Pre-Analytical Conditions Influence Cell-Free MicroRNA Stability in Blood Plasma Samples
- 3D Cell Culture System Could Revolutionize Cancer Diagnostics
- Painless Technique Measures Glucose Concentrations in Solution and Tissue Via Sound Waves
- Skin-Based Test to Improve Diagnosis of Rare, Debilitating Neurodegenerative Disease
- Serum Uromodulin Could Indicate Acute Kidney Injury in COVID-19 Patients
- AI Model Reveals True Biological Age From Five Drops of Blood
- First-Of-Its-Kind AI Tool Visualizes Cell’s ‘Social Network’ To Treat Cancer
- New Test Diagnoses High-Risk Childhood Brain Tumors
- Informatics Solution Elevates Laboratory Efficiency and Patient Care
- Microfluidic Device Assesses Stickiness of Tumor Cells to Predict Cancer Spread
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 moreMolecular 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 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