Evidence map›Paper›PMID 41517845›Full record

ReviewJournal of gastric cancer2026

Evolving Molecular Subtypes of Gastric Cancer: From Past Classifications to Present Consensus and Future Directions for Precision Therapy.

Ju-Seog Lee

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Integrated virulence-resistance profiling ofFrontiers in cellular and infection microbiology · 2026
    Article
  7. Review
  8. Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Ju-Seog LeeDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. jlee@mdanderson.org.ORCID 0000-0002-5666-9753

Funding

The University of Texas MD Anderson Cancer Center SPORE in Hepatocellular CarcinomaP50CA217674 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YAO, JAMES C · 2019 to 2023
$11.3M
PEA15 IN DEVELOPMENT OF LIVER CANCER AND ITS THERAPEUTIC IMPLICATIONR01CA237327 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LEE, JU-SEOG · 2020 to 2024
$1.8M
DEVELOPMENT AND VALIDATION OF PROGNOSTIC MODEL FOR GASTRIC CANCERR01CA150229 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LEE, JU-SEOG · 2010 to 2013
$1.1M
CDMRP CA160616CPRIT RP170307NCI NIH HHS P50 CA217674NCI NIH HHS P50-CA217674NCI NIH HHS R01 CA150229NCI NIH HHS R01 CA237327NCI NIH HHS R01-CA237327
6 · The paper itself

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

Biomarkers, TumorMolecular Diagnostic TechniquesMultiomicsPrecision MedicineStomach NeoplasmsConsensus Statements as TopicHumansBiomarkers, TumorBiomarkersClassificationDiagnosisGenomics

Identifiers

PMID41517845
PMCPMC12802024

What OpenQuestion holds

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Registered trials

None linked

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.