We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

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

New Sensitive Blood Test Detects, Characterizes and Monitors Small Cell Lung Cancer

By LabMedica International staff writers
Posted on 02 Sep 2022
Image: Scientists have unlocked potential for a small cell lung cancer blood test (Photo courtesy of Pexels)
Image: Scientists have unlocked potential for a small cell lung cancer blood test (Photo courtesy of Pexels)

Small cell lung cancer (SCLC) is a fast-growing type of cancer that can rapidly spread to other parts of the body through a process called metastasis. Most small SCLC patients, representing 10-15% of all lung cancer cases, are diagnosed late with advanced metastatic disease and few survive beyond 1 to 2 years. However, of the minority of patients with SCLC who are diagnosed very early and have surgery, 6 out of 10 can live for 5 years or more. Now, doctors could one day diagnose and characterize early stage SCLC using a simple blood test.

Researchers at the University of Manchester (Manchester, UK) with a team at Memorial Sloan Kettering Cancer Center (MSKCC, New York, NY, USA) conducted a study focused on a new sensitive blood test to detect, characterize and monitor SCLC, the most aggressive form of lung cancer. The research team developed a new method to analyze blood samples and pick up specific DNA modifications called methylation that change early on in the growth of cancers. The team also developed a sophisticated computational method to assess which methylation modifications were present.

They focused on making their method sensitive enough to find methylation modifications in the very low levels of DNA shed from a patient’s tumor into the blood stream, known as called circulating tumor DNA (ctDNA). The test was sufficiently sensitive and accurate to detect methylation of ctDNA, even from patients whose tumors’ were diagnosed at the earliest stage. The standard treatment for SCLC is chemotherapy, but there are multiple types of SCLC that, recent studies suggest, would respond differently to a range of therapies. The new blood test could also classify which type of SCLC is affecting a patient, supporting the potential for more personalized treatment options.

“SCLC is a terrible disease, causing so much anguish to patients and their families. We think this blood test could be really useful in future clinical trials of new therapies to predict and monitor treatment responses,” said Professor Caroline Dive who led the study, which was funded by which was funded by the USA National Cancer Institute (NCI) and Cancer Research UK.

“A key advantage of blood-based molecular subtyping is that blood is much easier to collect and is able to circumvent the challenges often encountered in analyzing scant and often extensively necrotic tissue associated with tumor biopsies,” said Dr. Dominic Rothwell, who led the laboratory work. “Our study opens up the exciting possibility of detecting SCLC earlier and assigning patients to more personalized treatments.”

“To our knowledge, this is the first published study to show that DNA methylation analysis of a blood sample can identify the SCLC molecular subtypes,” added Prof Charles Rudin, Chief of Thoracic Oncology at Memorial Sloane Kettering Cancer Center who leads the global consortium that defined the different types of SCLC. “Though further validation is clearly now needed in a larger independent patient cohort, this blood test could one day assist clinicians in choosing better treatments for SCLC, which is currently notoriously difficult to manage.”

Related Links:
University of Manchester 
MSKCC 

Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Urine Analyzer
respons® UDS100
Gold Member
Fully-auto Specific Protein (Nephelometry) Analyzer
PA240

Channels

Hematology

view channel
Image: Acute lymphoblastic leukemia in children and young people requires careful relapse risk assessment as treatment expands beyond standard chemotherapy. (Image Credit: Shutterstock)

New Risk-Stratification Tool Predicts Relapse After Blinatumomab in Childhood ALL

Acute lymphoblastic leukemia in children and young people requires careful assessment of relapse risk, particularly as treatment approaches move beyond standard chemotherapy. Traditional relapse predictors... Read more

Immunology

view channel
Image Credit: iStock

Antibody Profiling Predicts Inflammatory Bowel Disease Years Before Diagnosis

Inflammatory bowel disease (IBD), which includes Crohn’s disease and ulcerative colitis, involves abnormal immune responses that cause persistent inflammation and damage in the digestive system.... Read more

Microbiology

view channel
Image Credit: Adobe Stock

Decentralized Laboratory Network Improves Detection of Viral Hemorrhagic Fevers in Guinea

Viral hemorrhagic fevers remain a major diagnostic challenge in West Africa because their early symptoms can resemble those of other febrile illnesses. The 2014–2016 Ebola epidemic underscored the need... Read more

Pathology

view channel
Image: The CE-marked software IVD combines digital histopathology and clinicopathological data to generate a prognostic classification (Image Credit: Shutterstock)

Digital Pathology Test Stratifies Recurrence Risk in Early Breast Cancer

In hormone receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative early breast cancer, accurate recurrence-risk assessment helps guide treatment decisions. However, individual risks... Read more

Technology

view channel
Image: Diatech Pharmacogenetics launches Labcycler, a compact PCR thermal cycler. (Photo courtesy of Diatech Pharmacogenetics)

Compact PCR Thermal Cycler Launches for Routine Molecular Laboratory Workflows

Molecular laboratories rely on nucleic acid analysis to detect molecular information accurately and reproducibly across a wide range of applications. Supporting these routine workflows, a newly launched... Read more