ArticleESMO open2016
NanoString expression profiling identifies candidate biomarkers of RAD001 response in metastatic gastric cancer.
Article in ESMO open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Review
- Role of four and a half LIM domain protein 1 in tumors (Review).Oncology letters · 2025Review
- SLC11A1 predicts the overall survival of patients with colorectal cancer.American journal of cancer research · 2024Article
- Application of the NanoString nCounter System as an Alternative Method to Investigate Molecular Mechanisms Involved in Host Plant Responses toInternational journal of molecular sciences · 2022Article
- Novel immune-risk score of gastric cancer: A molecular prediction model combining the value of immune-risk status and chemosensitivity.Cancer medicine · 2019Article
- Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis.Scientific reports · 2019Article
- New insights into the inflamed tumor immune microenvironment of gastric cancer with lymphoid stroma: from morphology and digital analysis to gene expression.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2019Article
- The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors.International journal of molecular sciences · 2018Article
- New therapeutic options opened by the molecular classification of gastric cancer.World journal of gastroenterology · 2018Review
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGene expression profiling has contributed greatly to cancer research. However, expression-driven biomarker discovery in metastatic gastric cancer (mGC) remains unclear. A gene expression profile predicting RAD001 response in refractory GC was explored in this study.
methodsTotal RNA isolated from 54 tumour specimens from patients with mGC, prior to RAD001 treatment, was analysed via the NanoString nCounter gene expression assay. This assay targeted 477 genes representing 10 different GC-related oncogenic signalling and molecular subtype-specific expression signatures. Gene expression profiles were correlated with patient clinicopathological variables.
resultsNanoString data confirmed similar gene expression profiles previously identified by microarray analysis. Signature I with 3 GC subtypes (mesenchymal, metabolic and proliferative) showed approximately 90% concordance where the mesenchymal and proliferative subtypes were significantly associated with signet ring cell carcinoma and the WHO classified tubular adenocarcinoma GC, respectively (p=0.042). Single-gene-level correlations with patient clinicopathological variables showed strong associations between
conclusionsMicroarray results are highly reproducible with NanoString nCounter gene expression profiling. Additionally,
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