ReviewNature reviews. Clinical oncology2013
Gastric cancer-molecular and clinical dimensions.
Review in Nature reviews. Clinical oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers, 7 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
240 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Analyzing the associations between tertiary lymphoid structures and postoperative prognosis, along with immunotherapy response in gastric cancer: findings from pooled cohort studies.Journal of cancer research and clinical oncology · 2024Pooled it
- Clinicopathological and prognostic significance of LKB1 expression in gastric cancer: a systematic review and meta-analysis.Scientific reports · 2023Pooled it
- Pooled it
- Pooled it
- Chemotherapy for advanced gastric cancer.The Cochrane database of systematic reviews · 2017Pooled it
- HER2/HER3 pathway in biliary tract malignancies; systematic review and meta-analysis: a potential therapeutic target?Cancer metastasis reviews · 2017Pooled it
- Long noncoding RNAs as auxiliary biomarkers for gastric cancer screening: A pooled analysis of individual studies.Oncotarget · 2016Pooled it
- A Nomogram for Prediction of Survival in Patients After Gastrectomy Within Enhanced Recovery After Surgery (ERAS): A Single-Center Retrospective Study.Medical science monitor : international medical journal of experimental and clinical research · 2020Trial
- Complement C3 overexpression activates JAK2/STAT3 pathway and correlates with gastric cancer progression.Journal of experimental & clinical cancer research : CR · 2020Trial
- Therapeutic effects of Lentinan in gastrointestinal inflammation and carcinogenesis - A scoping review of evidence from preclinical and clinical studies.European journal of microbiology & immunology · 2026Review
- Targeting the PI3K/AKT/mTOR pathway in gastrointestinal cancers: a comprehensive review of mechanisms, preclinical evidence, and clinical challenges.Medical oncology (Northwood, London, England) · 2026Review
- PRSS1 promotes gastric cancer invasion and metastasis by induction of the epithelial-mesenchymal transition and activation of the MAPK/ERK pathway.Translational cancer research · 2026Article
- Mechanistic study of TIMM44 mediating gastric carcinogenesis via the Gαi1-PI3K-AKT-mTOR signaling pathway.Scientific reports · 2026Article
- Research on the role and mechanism of FAT4 in the development and progression of tumor and non-tumor diseases.Discover oncology · 2026Review
- Expression of low molecular weight protein tyrosine phosphatase in gastric cancer and its association with clinical outcomes and oncogenic hallmarks.Molecular medicine (Cambridge, Mass.) · 2026Article
- From proteome-wide Mendelian randomization and multi-omics integration to functional validation: TGFB3 as a prioritized candidate in gastric adenocarcinoma.Frontiers in oncology · 2026Article
- RNA-seq Splicing Profile of theCancers · 2025Article
- An interpretable hybrid deep learning framework for gastric cancer diagnosis using histopathological imaging.Scientific reports · 2025Article
- Deciphering prognostic markers in gastric signet ring cell carcinoma: Human epidermal growth factor receptor 2 and other key factors.World journal of clinical oncology · 2025Article
- Targeted inhibition of Ninjurin2 promotes chemosensitivity in chemoresistant gastric cancer by suppressing cancer-initiating cells.Biomarker research · 2025Article
180 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Gastric cancer imposes a considerable health burden around the globe despite its declining incidence. The disease is often diagnosed in advanced stages and is associated with a poor prognosis for patients. An in-depth understanding of the molecular underpinnings of gastric cancer has lagged behind many other cancers of similar incidence and morbidity, owing to our limited knowledge of germline susceptibility traits for risk and somatic drivers of progression (to identify novel therapeutic targets). A few germline (PLCE1) and somatic (ERBB2, ERBB3, PTEN, PI3K/AKT/mTOR, FGF, TP53, CDH1 and MET) alterations are emerging and some are being pursued clinically. Novel somatic gene targets (ARID1A, FAT4, MLL and KMT2C) have also been identified and are of interest. Variations in the therapeutic approaches dependent on geographical region are evident for localized gastric cancer-differences that are driven by preferences for the adjuvant strategies and the extent of surgery coupled with philosophical divides. However, greater uniformity in approach has been noted in the metastatic cancer setting, an incurable condition. Having realized only modest successes, momentum is building for carrying out more phase III comparative trials, with some using biomarker-based patient selection strategies. Overall, rapid progress in biotechnology is improving our molecular understanding and can help with new drug discovery. The future prospects are excellent for defining biomarker-based subsets of patients and application of specific therapeutics. However, many challenges remain to be tackled. Here, we review representative molecular and clinical dimensions of gastric cancer.
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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.