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




Gastric Cancer Analysis Identifies Four Subtypes

By LabMedica International staff writers
Posted on 28 Feb 2019
In previous studies of gastric cancers (GCs), genomic and transcriptomic analyses have identified molecular signatures associated with phenotypes of the disease, such as patient subtypes and survival. More...
New proteogenomic analysis of diffuse gastric cancers (GCs) in young populations identified four subtypes of the disease.

The Cancer Genome Atlas (TCGA) identified four GC subtypes and associated molecular signatures: Epstein-Barr virus (EBV)-positive tumors with recurrent PIK3CA mutations, DNA hypermethylation, and amplification of JAK2, CD274, and PDCD1LG2; tumors with microsatellite instability with high mutation rates; genomically stable tumors enriched for diffuse histological variants and mutations in RHOA; and tumors with chromosomal instability showing aneuploidy and amplifications of genes encoding receptor tyrosine kinases.

A large team of scientists collaborating with the Korea University, Seoul, Republic of Korea) collected paired tumor and adjacent normal tissues, as well as blood samples, from 80 patients with early-onset GCs (EOGCs) under 45 years of age. These 80 tumors included 74 diffuse, three intestinal, two mixed types, and one inflammatory myoblastic tumor. For each patient, the team performed exome sequencing of the tumors and peripheral blood mononuclear cells, as well as mRNA sequencing of the paired tumor and adjacent normal tissues.

The team used exome sequencing data, and identified 56,502 non-synonymous single-nucleotide variants and 3,598 frameshift indels. Further, they found 11,938 genes were expressed in the tumor and adjacent normal samples, on average, in the mRNA data. They then used these variants and expressed transcripts from each patient to build a sample-specific database and identified 156,135 peptides, 28,944 phosphopeptides, and 4,376 N-glycopeptides from the global proteomes, phosphoproteomes, and N-glycoproteomes, respectively. These peptides were mapped to 10,295 protein-coding genes, on average.

The scientists compared their own GC subtypes to GC subgroups in TCGA data, and found that subtype 2- and 4-like TCGA subgroups showed the best and worst survivals, respectively. MSI- and EBV-positive GCs were significantly enriched in the subtype 2-like subgroup, while genomically stable GCs were enriched in the subtype 4-like subgroup. They defined subtype 2 as representing immune response-related processes (antigen presentation, BCR/TNF/Toll-like receptor signaling, TCR signaling, and phagosome). Subtype 3 uniquely represented metabolism-related processes (oxidative phosphorylation, fatty acid b-oxidation, and citrate cycle). Subtype 4 mainly represented invasion-related processes (actin cytoskeleton and MAPK, PI3K-AKT, WNT, RHOA, and cadherin signaling).

The authors concluded that based on their data, subtypes 2 and 4 can be characterized as immunogenic and invasive tumors with possibly good and poor survival rates, respectively, similar to subtypes 2- and 4-like subgroups in TCGA cohort. They noted that the tumors in subtype 2 show strong immune activity that may contribute to a good prognosis and that the tumors in subtype 4 show strong invasion potential that may contribute to a poor prognosis. The study was published on January 14, 2019, on the journal Cancer Cell.

Related Links:
Korea University


Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Verification Panels for Assay Development & QC
Seroconversion Panels
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
Spinal Fluid Cell Count Control
Spinalscopics
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

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... 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: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... 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.