ArticleGut2021
Integrated genomic profiling and modelling for risk stratification in patients with advanced oesophagogastric adenocarcinoma.
Article in Gut, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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Who cites it
20 citing papers in PubMed, 33 citations in OpenAlex.
- Exploring the origins of esophagogastric junction cancer through omics: A focus on the Siewert II subclassification.Surgery today · 2026Review
- The biology and therapeutic implications of heterogeneity in Barrett oesophagus and oesophageal adenocarcinoma.Nature reviews. Clinical oncology · 2026Review
- Multi-omics sequencing of gastroesophageal junction adenocarcinoma reveals prognosis-relevant key factors and a novel immunogenomic classification.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025Article
- Malignant epithelia cells-derived spermine induces APOE+ macrophages to suppress tumor immunity in adenocarcinoma of the esophagogastric junction.Frontiers in medicine · 2025Article
- New direction: identification of immunoinflammatory subtypes and potential therapeutic targets for cholangiocarcinoma.Discover oncology · 2024Article
- Article
- Development and validation of a nomogram to predict the survival and estimate surgical benefits for gastric cancer with liver metastasis receiving primary tumor resection.Frontiers in oncology · 2024Article
- Evolution of immune and stromal cell states and ecotypes during gastric adenocarcinoma progression.Cancer cell · 2023Article
- Model construction and risk analysis of the lncRNA genes associated with the prognosis of esophageal adenocarcinoma with immune infiltration.Journal of gastrointestinal oncology · 2023Article
- Integrative proteomic characterization of adenocarcinoma of esophagogastric junction.Nature communications · 2023Article
- Tumor-derived IL-8 facilitates lymph node metastasis of gastric cancer via PD-1 up-regulation in CD8Cancer immunology, immunotherapy : CII · 2022Article
- APOBEC3: Friend or Foe in Human Papillomavirus Infection and Oncogenesis?Annual review of virology · 2022Review
- Characterization of genomic alterations and neoantigens and analysis of immune infiltration identified therapeutic and prognostic biomarkers in adenocarcinoma at the gastroesophageal junction.Frontiers in oncology · 2022Article
- Integration of Tumor Heterogeneity for Recurrence Prediction in Patients with Esophageal Squamous Cell Cancer.Cancers · 2021Article
- Multi-omics consensus ensemble refines the classification of muscle-invasive bladder cancer with stratified prognosis, tumour microenvironment and distinct sensitivity to frontline therapies.Clinical and translational medicine · 2021Article
- Development of immune gene pair-based signature predictive of prognosis and immunotherapy in esophageal cancer.Annals of translational medicine · 2021Article
- Review
- Comprehensive Analysis of Alteration Landscape and Its Clinical Significance of Mitochondrial Energy Metabolism Pathway-Related Genes in Lung Cancers.Oxidative medicine and cellular longevity · 2021Article
- Identification of a Prognosis-Related Risk Signature for Bladder Cancer to Predict Survival and Immune Landscapes.Journal of immunology research · 2021Article
- Rapidly Evolving Treatment Landscape for Metastatic Esophagogastric Carcinoma: Review of Recent Data.OncoTargets and therapy · 2021Review
Corrections and comments
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Authors and funding
31 authors at 2 institutions in 2 countries.
Funding
Abstract
objectivePrognosis of patients with advanced oesophagogastric adenocarcinoma (mEGAC) is poor and molecular determinants of shorter or longer overall survivors are lacking. Our objective was to identify molecular features and develop a prognostic model by profiling the genomic features of patients with mEGAC with widely varying outcomes.
designWe profiled 40 untreated mEGACs (20 shorter survivors <13 months and 20 longer survivors >36 months) with whole-exome sequencing (WES) and RNA sequencing and performed an integrated analysis of exome, transcriptome, immune profile and pathological phenotypes to identify the molecular determinants, developing an integrated model for prognosis and comparison with The Cancer Genome Atlas (TCGA) cohorts.
results
conclusionThis study discovered novel molecular features prognosticating overall survival in patients with mEGAC and identified potential novel targets in shorter survivors.
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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.