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.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




AI-Powered Blood Test Enables Early Detection of Pancreatic Cancer in High-Risk Patients

By LabMedica International staff writers
Posted on 10 May 2023
Print article
Image: Avantect test has shown a strong performance for early detection of pancreatic cancer with epigenomics (Photo courtesy of Freepik)
Image: Avantect test has shown a strong performance for early detection of pancreatic cancer with epigenomics (Photo courtesy of Freepik)

Pancreatic cancer, one of the deadliest forms of cancer, is frequently diagnosed too late for effective treatment. Patients recently diagnosed with type 2 diabetes are eight times more likely to develop pancreatic cancer than the general population. As pancreatic cancer is projected to become the second leading cause of cancer deaths by 2030, early detection and diagnosis can significantly improve the chances of successful treatment and long-term survival. Now, a simple DNA-based blood test, designed for patients at high risk for pancreatic cancer, including those newly diagnosed with type 2 diabetes aged 50 and above, can identify pancreatic cancer in its earliest stages.

The Avantect Pancreatic Cancer Test from ClearNote Health (San Diego, CA, USA) detects early-stage pancreatic cancer by measuring the biomarker 5-hydroxymethylcytosine (5hmC) through a simple blood draw. The test leverages ClearNote's epigenomic platform, which monitors active biological events occurring in tumors at the earliest stages of cancer formation. The proprietary, automated, 5hmC-based epigenomic platform enriches DNA fragments using 5hmC labeling, targeting a subset of dynamically demethylated bases. This method allows for efficient and highly accurate evaluations of biological events linked to gene expression and regulation, which are crucial to cancer development.

A recent study demonstrated the Avantect test's strong performance in detecting pancreatic cancer in high-risk patients, such as those newly diagnosed with type 2 diabetes. The case-control validation study, based on 2,150 patient samples, showed high specificity (96.9%) and early-stage (Stage I/II) sensitivity (68.3%). These findings support the use of ClearNote's epigenomic platform for effectively identifying cancer presence in individuals at a higher risk for pancreatic cancer, ultimately enabling prompt disease detection and intervention.

“We continue to build the evidence base supporting the use of the Avantect Pancreatic Cancer Test as a way to identify patients at earlier stages of pancreatic cancer from among high-risk populations, such as those with new-onset Type 2 diabetes,” said Samuel Levy, Ph.D., chief scientific officer, ClearNote Health. “Our unique approach to early detection combines epigenomics with genomic alterations and fragmentomics as input to sophisticated machine learning algorithms. This enables us to offer clinicians an early detection test that can be used to guide patient management recommendations, and identify pancreatic cancers at early, treatable stages when longer-term patient survival is still possible.”

Related Links:
ClearNote Health

Gold Member
Pharmacogenetics Panel
VeriDose Core Panel v2.0
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Creatine Kinase-MB Assay
CK-MB Test
New
C-Reactive Protein Assay
OneStep C-Reactive Protein (CRP) RapiCard InstaTest

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

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

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

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
Copyright © 2000-2025 Globetech Media. All rights reserved.