LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Tumor Mutational Load Predicts Survival Post-Immunotherapy

By LabMedica International staff writers
Posted on 31 Jan 2019
Image: Tumor Mutation Burden by Targeted Next Generation Sequencing Predicts Benefit to Immune Checkpoint Inhibitors for Cancer (Photo courtesy of Rutgers Cancer Institute).
Image: Tumor Mutation Burden by Targeted Next Generation Sequencing Predicts Benefit to Immune Checkpoint Inhibitors for Cancer (Photo courtesy of Rutgers Cancer Institute).
A survey of thousands of advanced cancers suggests a way to identify those most likely to respond to groundbreaking therapies that unleash an immune response against tumors, but the results highlight how difficult it will be to translate such an approach into a reliable clinical test.

Medical scientists have long sought a way to select the people, generally a minority of patients, who are most likely to respond to immunotherapies and to spare others from the treatments' side effects, which can include kidney failure and lung problems. However, the immune system is complicated, and it has proved difficult to determine what makes one tumor vulnerable to treatment but allows another to escape unscathed.

A large team of scientists working with the Memorial Sloan Kettering Cancer Center (New York, NY, USA) analyzed DNA sequence data for advanced cancers from more than 1,600 people who had been treated with immunotherapies called checkpoint inhibitors (ICI). The team also analyzed the sequences of advanced cancers from more than 5,300 people who had not been treated with checkpoint inhibitors. The study looked at ten different kinds of cancer, including melanoma and breast cancer. Findings in selected cancer types suggest that tumor mutational burden (TMB) may predict clinical response to ICI.

In most of those cancers, the team found that a higher number of mutations were associated with a better chance of responding to checkpoint inhibitors. This finding matches the results of other preliminary studies reported in recent years. The current study was the first to find improved survival in such a wide range of cancers, and in a population of people, who had received a variety of previous treatments. The data also showed that the number of mutations that predicted a good response to immunotherapy varied from one type of cancer to another.

The authors noted that survival results may have been affected by participants who switched from the control group to the immunotherapy arm of the trial. Checkpoint inhibitors were more likely to halt tumor growth in those with a higher number of mutations than in those with fewer mutations, even if there was no demonstrated difference in a person's survival rate. The study was published on January 14, 2019, in the journal Nature Genetics.

Related Links:
Memorial Sloan Kettering Cancer Center

Gold Member
Blood Gas Analyzer
Stat Profile pHOx
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Automated MALDI-TOF MS System
EXS 3000
Pipette
Accumax Smart Series

Channels

Immunology

view channel
Image: Circulating tumor cells isolated from blood samples could help guide immunotherapy decisions (Photo courtesy of Shutterstock)

Blood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug

Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more

Microbiology

view channel
Image: New evidence suggests that imbalances in the gut microbiome may contribute to the onset and progression of MCI and Alzheimer’s disease (Photo courtesy of Adobe Stock)

Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease

Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read more

Technology

view channel
Image: Vitestro has shared a detailed visual explanation of its Autonomous Robotic Phlebotomy Device (photo courtesy of Vitestro)

Robotic Technology Unveiled for Automated Diagnostic Blood Draws

Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more

Industry

view channel
Image: Roche’s cobas® Mass Spec solution enables fully automated mass spectrometry in routine clinical laboratories (Photo courtesy of Roche)

New Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing

Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more