Sort   by:  
 Page size 
MetabolomicsMetabolic biomarkers of gastric cancer

Plasma samples were analyzed using UPLC-MS/MS untargeted metabolomics. The dataset comprised 144 participants. Partial least squares discriminant analysis (PLS-DA) three-dimensional scores plot distinguishing GC patients from non-GC controls. Metabolic profiling and differential comparison identi...

2026-09-29 | MTBLS12684 | MetaboLights
MetabolomicsMedicarpin suppresses gastric cancer growth through modulation of mevalonate pathway-associated cholesterol biosynthesis
Background: Gastric cancer (GC) is an aggressive malignancy characterized by metabolic reprogramming, including dysregulated cholesterol biosynthesis. Medicarpin (Med), a natural isoflavan isolated from Radix Hedysari, has shown pharmacological potential; however, its anti-GC activity and metabolic ...
2026-10-02 | MTBLS15900 | MetaboLights
MetabolomicsIdentification of Biomarkers Using Metabolomics: From Chronic Non-Atrophic Gastritis and Chronic Atrophic Gastritis to Gastric Cancer

Gastric cancer (GC) is a severe malignancy characterized by late diagnosis, poor prognosis and low survival rates. Its progression is often linked to chronic non-atrophic gastritis (CNAG) and chronic atrophic gastritis (CAG), which show atypical symptoms. Identifying biomarkers for CNAG, CAG and ...

2026-09-29 | MTBLS12186 | MetaboLights
MetabolomicsN6-methyladenosine–modified circSLTM inhibits gastric cancer cell proliferation and promotes ferroptosis via interaction with HSPA8

Circular RNAs (circRNAs) are dysregulated in cancers, with N6-methyladenosine (m⁶A)-modified species acting as key regulators of ferroptosis via iron metabolism and lipid peroxidation. This study examines the role of circSLTM (circ-0000605) in gastric cancer (GC). Clinical analyses of GEO data an...

2026-01-16 | MTBLS13702 | MetaboLights
TranscriptomicsGastric Cancer Subtyping (Australian Patient Cohort)
Genome-wide mRNA expression profiles of 70 primary gastric tumors from the Australian patient cohort. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes ...
ORGANISM(S): Homo sapiens 
2012-07-04 | E-GEOD-35809 | biostudies-arrayexpress
TranscriptomicsEpigenetic analysis of gastric cancer cell lines
Genome wide DNA methylation profiling of gastric cancer cell lines. The Illumina Goldengate DNA methylation Beadchip was used to obtain DNA methylation profiles across 1,505 CpG CpGs in 20 gastric cancer cell lines. Bisulphite converted DNA from the 20 gastric cancer cell lines were hybridised to th...
ORGANISM(S): Homo sapiens 
2012-05-02 | E-GEOD-29499 | biostudies-arrayexpress
TranscriptomicsGenetic Landscape of Copy Number Alterations in Gastric Cancer
Genome-wide DNA copy number profiling of gastric tumors and matched non-maligant samples. The affymetrix SNP6 array was used to obtain DNA copy number profiles in 193 gastric tumors and 98 matched gastric non-malignant samples. Genomic DNA extracted from 193 gastric tumors and 98 matched gastric non...
ORGANISM(S): Homo sapiens 
2012-02-10 | E-GEOD-31168 | biostudies-arrayexpress
TranscriptomicsLack of microRNA-101 causes E-cadherin expression and function deregulation through EZH2 up-regulation in gastric cancer
Background & Aims: E-cadherin expression disruption is commonly observed in epithelial cancers and metastasis. Such event is also recognized as a crucial step in gastric cancer (GC) initiation and progression. As aberrant expression of microRNAs often perturb the normal expression and function of pi...
ORGANISM(S): Homo sapiens 
2012-07-31 | E-GEOD-33743 | biostudies-arrayexpress
ModelsYangziChen2024 - Metabolic Machine Learning Predictor Model for Diagnosis of Gastric Cancer
The paper "Metabolomic Machine Learning Predictor for Diagnosis and Prognosis of Gastric Cancer" addresses the need for non-invasive diagnostic tools for gastric cancer (GC). Traditional methods like endoscopy are invasive and expensive. The authors conducted a targeted metabolomics analysis of 702 ...
2024-07-23 | MODEL2407230001 | BioModels
Machine Learning Model 
TranscriptomicsTranscription profiling of human chinese gastric cancer samples vs. adjacent samples
We used microarrays to detail the global program of gene expression between Chinese gastric cancer and its adjacent noncancer tissues and identified some key differential expression genes in cancer. Gene expression profiling is a valuable tool for identifying differentially expressed genes in studie...
ORGANISM(S): Homo sapiens 
2010-01-11 | E-GEOD-19826 | biostudies-arrayexpress
Sort   by:  
 Page size