ReviewJournal of gastric cancer2026
Evolving Molecular Subtypes of Gastric Cancer: From Past Classifications to Present Consensus and Future Directions for Precision Therapy.
Review in Journal of gastric cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Construction of a risk model based on folate metabolism-related genes to predict prognosis and immunological characteristics of stomach adenocarcinoma.Discover oncology · 2026Article
- The "Hit-and-Run" legacy: epigenetic locking and the survival switch in H. pylori-associated gastric cancer.Cell death discovery · 2026Review
- The role of alternative splicing in gastric cancer.Biology direct · 2026Review
- Comprehensive Overview of Gastric Cancer Immunohistochemistry: Key Biomarkers, Advanced Detection Methods, and Perspectives.Medicina (Kaunas, Lithuania) · 2026Review
- Banxia xiexin decoction and its bioactive metabolites: multi-targeted mechanisms for suppressing gastric cancer progression, reversing chemoresistance, and remodeling the tumor microenvironment.Frontiers in pharmacology · 2026Review
- Integrated virulence-resistance profiling ofFrontiers in cellular and infection microbiology · 2026Article
- Mitochondrial dysfunction and the regulatory cell death crosstalk network in chronic obstructive pulmonary disease: from oxidative stress mechanisms to targeted therapeutic strategies.Frontiers in immunology · 2026Review
- Metabolic Reprogramming in Gastric Cancer Immunity Mechanisms and Therapeutic Implications.Oncology research · 2026Review
- Multi-omics and experimental validation reveal ISG20L2 as a potential pro-oncogenic regulator in gastric cancer.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Gastric cancer is a biologically heterogeneous disease. The advent of high-throughput multi-omic technologies has revolutionized our understanding of gastric cancer by deconstructing this heterogeneous entity into distinct and more homogeneous molecular subtypes. Early classifications based on gene expression, methylation, and histology have laid the groundwork for multi-omic frameworks proposed by The Cancer Genome Atlas and Asian Cancer Research Group, which established the foundation of modern molecular taxonomy. Subsequent integrative efforts, particularly the Consensus Genomic Subtypes (Super 6) model, have unified this collected information into clinically relevant subtypes that bridge prognostic stratification with treatment strategies. Established biomarkers such as human epidermal growth factor receptor 2 amplification, microsatellite instability, and programmed death-ligand 1 expression are now used clinically to guide treatment with targeted agents and immune checkpoint inhibitors. Emerging single-cell and spatial transcriptomic analyses have further refined this landscape by deconstructing tumor microenvironments and potential evolutionary trajectories associated with disease progression. This review examines the evolution of molecular classification systems for gastric cancer, highlights current consensus frameworks, and discusses how subtype-based stratification will transform clinical trial design and enable biomarker-driven precision therapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.