ReviewMolecular cancer2025
Non-coding RNAs in gastric cancer: mechanisms and therapeutic prospects.
Review in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- 8-Oxoguanine Modified CircMTUS1 Drives PABPC1 Phase Separation to Promote Gastric Cancer Progression and Cisplatin Resistance via Autophagy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Role of histone modifications in gastric cancer (Review).International journal of oncology · 2026Review
- Translational advances in gastric cancer: integrating biomarkers, novel therapies, and microenvironment remodeling in 2025.Translational cancer research · 2026Review
- Circular and Long Non-Coding RNAs in Cancer Metabolism: Dual Perspective of Biomarkers and Therapeutic Targets.Non-coding RNA · 2026Review
- Circular RNA hsa_circ_0001829 promotes pancreatic ductal adenocarcinoma through miR-7113-3p/DTX4 axis.World journal of surgical oncology · 2026Article
- The interplay of the microbiome, host genetics, and epigenetic modifications in gastric cancer.Frontiers in microbiology · 2026Review
- Roles and potential applications of non-coding RNAs in cancer treatment with immune checkpoint inhibitors and immunomodulatory therapies.Cancer drug resistance (Alhambra, Calif.) · 2026Review
- Computational identification and validation of non-coding rna biomarkers in gastrointestinal cancer.Functional & integrative genomics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Gastric cancer is the fifth most common cancer and the third leading cause of cancer-related deaths worldwide. It is associated with high molecular and phenotypic heterogeneity. Early-stage gastric cancer can be treated with endoscopic resection and surgery, whereas at its advanced stage, sequential chemotherapy presents the only treatment option, which starts with first-line platinum and fluoropyrimidine-based dual drugs, supporting a median survival period of less than one year. Targeted monoclonal antibodies approved for the treatment of gastric cancer are effective for a limited subset of patients. Furthermore, painless and precise markers for the early detection of gastric cancer and new targets for its treatment are unavailable. Interestingly, many non-coding RNAs (ncRNAs), such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), play key roles in the development of gastric cancer. Multiple pieces of evidence suggest that ncRNAs play a crucial role in the treatment of gastric cancer using chemotherapy and targeted therapy drugs. In this article, we systematically reviewed the important roles of ncRNAs in chemotherapy resistance, immune escape, metabolism, and angiogenesis of gastric cancer, and systematically elucidated the relevant molecular mechanisms. In addition, we also proposed the potential clinical significance of ncRNA as a new therapeutic target and prognostic biomarker for gastric cancer.
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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 Socratic graph.