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

Glycomic Analysis Distinguishes Gastric Cancer from Diseases with Similar Symptoms

By LabMedica International staff writers
Posted on 30 Dec 2013
Print article
Image: A linear ion trap - Fourier transform ion cyclotron resonance mass spectrometer (MALDI FTICR MS) similar to that used in the gastric cancer glycomics study (Photo courtesy of Wikimedia Commons).
Image: A linear ion trap - Fourier transform ion cyclotron resonance mass spectrometer (MALDI FTICR MS) similar to that used in the gastric cancer glycomics study (Photo courtesy of Wikimedia Commons).
Analysis of complex sugars (glycans) in serum samples enabled diagnosticians to distinguish patients with gastric cancer from those with gastritis or duodenal ulcers.

While gastric cancer is usually treatable when caught early, symptoms are indistinct and late detection leads to high mortality. The five-year survival rate of patients with gastric cancer in the United States is only 26.9%.

Investigators at the University of California, Davis (USA) used advanced glycomic techniques to distinguish patients with gastric cancer from those with diseases with similar overt symptoms (gastritis and duodenal ulcers). Glycomics is the comprehensive study of an organism's entire complement of sugars, whether free, or present in more complex molecules.

The investigators analyzed 72 serum samples collected from patients in Mexico City that presented with gastric cancer, gastritis, or duodenal ulcers. N-glycans were released from serum samples using a generic method based on the enzyme PNGase F (peptide -N-glycosidase F), an amidase that cleaves between the innermost N-acetyl-glucose and asparagine residues of high mannose, hybrid, and complex oligosaccharides from N-linked glycoproteins. Isolated glycans were characterized by MALDI FTICR MS.

Matrix-assisted laser desorption/ionization (MALDI) is a soft ionization technique used in mass spectrometry, allowing the analysis of biomolecules (biopolymers such as DNA, proteins, peptides, and sugars) and large organic molecules (such as polymers, dendrimers, and other macromolecules), which tend to be fragile and fragment when ionized by more conventional ionization methods. Fourier transform ion cyclotron resonance (FTICR) mass spectrometry is a very high-resolution technique that can be used to determine masses with great accuracy. Many applications of FTICR-MS use this mass accuracy to help determine the composition of molecules based on accurate mass. FTICR-MS differs significantly from other mass spectrometry techniques in that the ions are not detected by hitting a detector such as an electron multiplier but only by passing near detection plates.

Results revealed that nineteen glycans were significantly different among the diagnostic groups. Generally, decreased levels of high-mannose type glycans, glycans with one complex type antenna, bigalactosylated biantennary glycans, and increased levels of non-galactosylated biantennary glycans were observed in gastric cancer cases. Altered levels of serum glycans were also observed in duodenal ulcers, but differences were generally in the same direction as in gastric cancer.

“We showed statistically significant differences between the serum glycan profiles of patients with gastric cancer and those with gastritis,” said senior author Dr. Jay Solnick, professor of comparative medicine at the University of California, Davis. “This is the first time anyone has looked at whether serum glycans could be used to detect gastric cancer. Right now, we have statistical significance but not predictive value. If we can improve the predictability, we could create a diagnostic test with real clinical value.”

The study was published in the December 10, 2013, online edition of the journal Cancer Prevention Research.

Related Links:
University of California, Davis


Gold Member
Troponin T QC
Troponin T Quality Control
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Respiratory QC Panel
Assayed Respiratory Control Panel
New
Auto Clinical Chemistry Analyzer
cobas c 703

Print article

Channels

Molecular Diagnostics

view channel
Image: The Mirvie RNA platform predicts pregnancy complications months before they occur using a simple blood test (Photo courtesy of Mirvie)

RNA-Based Blood Test Detects Preeclampsia Risk Months Before Symptoms

Preeclampsia remains a major cause of maternal morbidity and mortality, as well as preterm births. Despite current guidelines that aim to identify pregnant women at increased risk of preeclampsia using... 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

Microbiology

view channel
Image: The lab-in-tube assay could improve TB diagnoses in rural or resource-limited areas (Photo courtesy of Kenny Lass/Tulane University)

Handheld Device Deliver Low-Cost TB Results in Less Than One Hour

Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more

Technology

view channel
Image: Schematic illustration of the chip (Photo courtesy of Biosensors and Bioelectronics, DOI: https://doi.org/10.1016/j.bios.2025.117401)

Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples

Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... 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
Sekisui Diagnostics UK Ltd.