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
INTEGRA BIOSCIENCES AG

Download Mobile App




Experimental Blood Test Improves Detection of Early-Stage Pancreatic Cancer

By LabMedica International staff writers
Posted on 07 Oct 2024
Print article
Image: Pancreatic tissue with the biomarker CA199.STRA in yellow (Photo courtesy of Haab Lab/Van Andel Institute)
Image: Pancreatic tissue with the biomarker CA199.STRA in yellow (Photo courtesy of Haab Lab/Van Andel Institute)

Detecting pancreatic cancer early significantly increases survival rates, but current diagnostic tools are limited. Now, an experimental blood test has shown greater effectiveness in identifying early-stage pancreatic cancer compared to other available methods. The findings, published in Cancer Letters, set the stage for further clinical evaluation, an important step toward its approval as a diagnostic tool for pancreatic cancer.

This advancement stems from a long-standing collaboration among cancer researchers, including those from Van Andel Institute (Grand Rapids, MI, USA), who are part of the National Cancer Institute’s Early Detection Research Network (EDRN). The study results from double-blind assessments of several pancreatic cancer biomarker candidates conducted by EDRN-affiliated labs at Van Andel Institute and other institutions. It is the first instance in which multiple biomarkers for pancreatic cancer, identified by different labs, have been evaluated together. The new test detects two sugars — CA199.STRA and CA19-9 — produced by pancreatic cancer cells and released into the bloodstream. CA19-9 is currently the gold-standard biomarker for pancreatic cancer.

Researchers at Van Andel Institute previously identified CA199.STRA as a cancer biomarker and developed the technology to detect it. While the CA19-9 test alone accurately identified only 44% of pancreatic cancer samples in the lab, the addition of CA199.STRA increased the accuracy to 71%. The combined test significantly reduced false negatives while maintaining a low rate of false positives. This balance is crucial because low false positive and negative rates indicate the test’s ability to accurately detect cancer presence or absence. The analysis also showed that adding a protein biomarker called LRG1 to the combination of CA199.STRA and CA19-9 improved specificity, allowing the test to more accurately return negative results when no cancer is present. The three-biomarker panel was able to correctly identify nearly all cases while producing fewer false positives compared to using CA19-9 alone.

“Another take-home message from this study is the importance of having multiple different validated biomarkers for pancreatic cancer,” said the study’s co-corresponding author Brian Haab, Ph.D., a professor at Van Andel Institute. “A one-size-fits-all approach won’t work. It’s encouraging that we have many promising candidates that can be combined to better detect cancer.”

Related Links:
Van Andel Institute

Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Luteinizing Hormone Assay
DRG LH-Serum ELISA Kit
New
Amoebiasis Test
ELI.H.A Amoeba

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.