Blood-Based Test Predicts Benefits of Lung Cancer Treatment
By LabMedica International staff writers Posted on 22 Aug 2018 |

Image: A histopathology of non-small cell lung cancer from a fine needle aspirate showing marked variation in nuclear size and shape, irregularly distributed nuclear chromatin, and large, prominent nucleoli (Photo courtesy of Ed Uthman, MD).
Although programmed death-ligand 1–programmed death 1 (PD-L1–PD-1) inhibitors are broadly efficacious, improved outcomes have been observed in patients with high PD-L1 expression or high tumor mutational burden (TMB).
PD-L1 testing is required for checkpoint inhibitor monotherapy in front-line non-small-cell lung cancer (NSCLC). However, obtaining adequate tumor tissue for molecular testing in patients with advanced disease can be challenging. Thus, an unmet medical need exists for diagnostic approaches that do not require tissue to identify patients who may benefit from immunotherapy.
A large team of scientists led by those at UC Davis Comprehensive Cancer Center (Sacramento, CA, USA) have developed a novel, technically robust, blood-based assay to measure TMB in plasma that is distinct from tissue-based approaches. Using a retrospective analysis of two large randomized trials as test and validation studies, they showed that bTMB reproducibly identifies patients who derive clinically significant improvements in progression-free survival from an anti-PD-L1atezolizumab in second-line and higher NSCLC.
Investigators reported on the retrospective application of the test to more than 1,000 samples from patients with advanced NSCLC who participated in Genentech's Phase II POPLAR and Phase III OAK clinical trials. The POPLAR trial samples were used first, to identify blood-based TMB thresholds that reflect the discriminatory ability of tissue-based TMB. The positive predictive agreement for different cutoff points ranged from about 86% to 100%, and negative predictive agreements were spread between 82% and 100%. Overall, investigators calculated that the assay's performance was optimized at three different cut-points: bTMB of ten or more, 16 or more, and 20 or more mutations.
Based on results in the POPLAR cohort, the investigators narrowed down to the 16-mutation cutoff point for analysis in the OAK study. According to the authors, OAK study patients with at least 16 total mutations as calculated by the bTMB assay had significantly improved progression-free survival when treated with atezolizumab versus docetaxel chemotherapy with a hazard ratio of 0.65. In addition, patients' bTMB results did not appear to correlate with PD-L1 expression levels, suggesting that the test provides independent predictive information that cannot be determined using PD-L1. They concluded that their data shows that high bTMB is a clinically actionable biomarker for atezolizumab in NSCLC.
David R. Gandara, MD, a professor and the lead author of the study, said, “These are exciting times in lung cancer immunotherapy. Having a blood test that can identify those patients most likely to benefit would be a huge advantage for both physicians and patients. This publication is the first step toward what I anticipate will be full clinical application of this assay.” The study was published on August 6, 2018, in the journal Nature Medicine.
Related Links:
UC Davis Comprehensive Cancer Center
PD-L1 testing is required for checkpoint inhibitor monotherapy in front-line non-small-cell lung cancer (NSCLC). However, obtaining adequate tumor tissue for molecular testing in patients with advanced disease can be challenging. Thus, an unmet medical need exists for diagnostic approaches that do not require tissue to identify patients who may benefit from immunotherapy.
A large team of scientists led by those at UC Davis Comprehensive Cancer Center (Sacramento, CA, USA) have developed a novel, technically robust, blood-based assay to measure TMB in plasma that is distinct from tissue-based approaches. Using a retrospective analysis of two large randomized trials as test and validation studies, they showed that bTMB reproducibly identifies patients who derive clinically significant improvements in progression-free survival from an anti-PD-L1atezolizumab in second-line and higher NSCLC.
Investigators reported on the retrospective application of the test to more than 1,000 samples from patients with advanced NSCLC who participated in Genentech's Phase II POPLAR and Phase III OAK clinical trials. The POPLAR trial samples were used first, to identify blood-based TMB thresholds that reflect the discriminatory ability of tissue-based TMB. The positive predictive agreement for different cutoff points ranged from about 86% to 100%, and negative predictive agreements were spread between 82% and 100%. Overall, investigators calculated that the assay's performance was optimized at three different cut-points: bTMB of ten or more, 16 or more, and 20 or more mutations.
Based on results in the POPLAR cohort, the investigators narrowed down to the 16-mutation cutoff point for analysis in the OAK study. According to the authors, OAK study patients with at least 16 total mutations as calculated by the bTMB assay had significantly improved progression-free survival when treated with atezolizumab versus docetaxel chemotherapy with a hazard ratio of 0.65. In addition, patients' bTMB results did not appear to correlate with PD-L1 expression levels, suggesting that the test provides independent predictive information that cannot be determined using PD-L1. They concluded that their data shows that high bTMB is a clinically actionable biomarker for atezolizumab in NSCLC.
David R. Gandara, MD, a professor and the lead author of the study, said, “These are exciting times in lung cancer immunotherapy. Having a blood test that can identify those patients most likely to benefit would be a huge advantage for both physicians and patients. This publication is the first step toward what I anticipate will be full clinical application of this assay.” The study was published on August 6, 2018, in the journal Nature Medicine.
Related Links:
UC Davis Comprehensive Cancer Center
Latest Pathology News
- New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
- "Metal Detector" Algorithm Hunts Down Vulnerable Tumors
- Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
- 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
Channels
Clinical Chemistry
view channel
New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read more
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 moreMolecular Diagnostics
view channel
Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer
Melanoma, an aggressive form of skin cancer, becomes extremely difficult to treat once it spreads to other parts of the body. For patients with metastatic melanoma tumors that cannot be surgically removed... Read more
Blood Test Could Identify Patients at Risk for Severe Scleroderma
Systemic sclerosis, also known as scleroderma, causes the hardening of the skin and connective tissues. In many cases, the disease can also damage vital organs, including the heart, kidneys, lungs, and... 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 Delivers 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