Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




World's First Blood Test Distinguishes Between Benign and Cancerous Lung Nodules

By LabMedica International staff writers
Posted on 03 Feb 2026

Lung cancer remains the deadliest cancer in China, largely because many patients are diagnosed at an advanced stage when treatment options are limited. More...

Early symptoms are often mild or absent, and while low-dose CT scans can detect lung nodules, they cannot determine whether these nodules are benign or malignant. As a result, patients often undergo repeated imaging follow-ups, and long-term compliance is low. Researchers have now developed a blood-based diagnostic approach that can accurately distinguish cancerous from non-cancerous lung nodules, even at very early stages.

The diagnostic kit was developed by a research team at the Chinese Academy of Sciences’ Hangzhou Institute of Medicine (Zhejiang, China) who focused on tumor autoantibodies, immune signals that can appear in the bloodstream at very early stages of cancer development. Using synthetic biology and artificial intelligence, the researchers analyzed complex blood samples and screened more than 400 proteins associated with early-stage lung cancer.

From this large panel, the researchers identified 13 key biomarkers that are most informative for diagnosis. Eight of the biomarker combinations were newly discovered and demonstrated significantly better performance than existing clinical standards. The team also addressed manufacturing challenges that have limited similar tests in the past by using customized protein tags and freeze-drying technology, extending the kit’s refrigerated shelf life to 12 months while ensuring consistent quality from domestically produced raw materials.

The diagnostic kit was evaluated in clinical trials conducted at major Chinese hospitals and included 1,463 patients with lung nodules, of whom 794 had lung cancer, including 462 early-stage cases. The test detected more than 65% of early-stage lung cancers overall and achieved diagnostic accuracy above 85% for small nodules that are difficult to assess using CT imaging alone.

The blood test requires only 2 milliliters of blood and costs approximately USD 144, avoiding the risks of invasive biopsies and reducing follow-up burdens for elderly or frail patients. By shifting lung cancer screening from imaging alone to molecular signals in blood, the approach could significantly improve early detection rates. The researchers plan to expand the test’s use to community clinics and health screening centers to enable broader access and earlier diagnosis nationwide.

"Distinguishing benign from malignant nodules is the key to achieving earlier lung cancer diagnosis and lowering mortality," said Professor Hu Hai, who leads the research team. "This marks a major step forward in early lung cancer diagnosis in China, shifting screening from relying on imaging alone to detecting molecular signals in the blood."

Related Links:
CAS Hangzhou Institute of Medicine 


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Nucleic Acid Purification Instrument
QIAsymphony Connect
Gold Member
Neonatal Heel Incision Device
Tenderfoot
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Hematology

view channel
Image: These new ANC reference ranges can help clinicians more accurately interpret neutrophil counts, reduce unnecessary testing and treatment interruptions, and help support more equitable care. (Photo courtesy of the American Society of Hematology)

New Reference Ranges Clarify Normal Neutrophil Counts in Duffy-Null Patients

Duffy-null status is a common genetic trait associated with naturally lower circulating white blood cell counts. It affects about 10% of the U.S. population and more than 66% of people with African or... Read more

Immunology

view channel
Image: The panel expands Cepheid’s respiratory testing portfolio on the GeneXpert platform, offering laboratories greater flexibility in selecting tests based on clinical needs. (Photo courtesy of Cepheid)

Multiplex PCR Test Gains CE Marking to Support Respiratory Infection Diagnosis

Acute respiratory infections often present with overlapping symptoms, making it difficult to distinguish between viral and bacterial causes. Seasonal surges of influenza-like illness in Europe further... Read more

Microbiology

view channel
Image: VITEK PRO combines microbial identification and antimicrobial susceptibility testing on a single platform to support routine microbiology workflows and antibiotic selection. (Photo courtesy of bioMérieux)

Automated Microbial Identification and Susceptibility System Gains FDA Clearance

Antimicrobial resistance (AMR) is a leading global public health threat, causing an estimated 1.27 million deaths annually. The growing challenge of diagnosing and treating resistant infections highlights... Read more

Pathology

view channel
AI: Artificial intelligence; CNN: Convolutional neural networks; ResNet: Residual neural network. (Xing-hua Gao from The First Hospital of China Medical University, China Image Source Link: https://www.ovid.com/jnls/cmj/fulltext/10.1097/cm9.0000000000004154~deep-learning-based-computational-pathology-technologies)

Review Highlights Progress and Validation Needs for AI in Digital Pathology

Pathology remains the gold standard for disease diagnosis, but clinical laboratories face growing demands for faster, more reproducible diagnostic and prognostic workflows. Digital pathology based on whole-slide... Read more

Industry

view channel
Image: The collaboration aims to expand access to the technology through a regulated clinical diagnostics pathway in Japan.

Partnership Aims to Bring Blood-Based Alzheimer’s Testing to Japan

Alzheimer’s disease remains a growing diagnostic challenge as populations age and cognitive impairment becomes more common. In Japan, government-supported estimates project that approximately 4.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.