ArticleScientific reports2020
Radiogenomics predicts the expression of microRNA-1246 in the serum of esophageal cancer patients.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Radiogenomic Profiling for Survival Analysis in Gastric Cancer: Integrating CT Imaging, Gene Expression, and Clinical Data.Molecular imaging and biology · 2025Article
- A study of microRNAs as new prognostic biomarkers in anal cancer patients.Acta oncologica (Stockholm, Sweden) · 2024Article
- The Oesophageal Cancer Multidisciplinary Team: Can Machine Learning Assist Decision-Making?Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023Review
- Multimodal machine learning in precision health: A scoping review.NPJ digital medicine · 2022Article
- Prediction of the differences in tumor mutation burden between primary and metastatic lesions by radiogenomics.Cancer science · 2022Article
- Impact of radiogenomics in esophageal cancer on clinical outcomes: A pilot study.World journal of gastroenterology · 2021Article
- Radiogenomics of gastroenterological cancer: The dawn of personalized medicine with artificial intelligence-based image analysis.Annals of gastroenterological surgery · 2021Review
- Review
- A deep survival interpretable radiomics model of hepatocellular carcinoma patients.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021Article
- Development and Validation of aFrontiers in oncology · 2021Article
- A Review on the Role of miR-1246 in the Pathoetiology of Different Cancers.Frontiers in molecular biosciences · 2021Review
- Circulating miR-1246 Targeting UBE2C, TNNI3, TRAIP, UCHL1 Genes and Key Pathways as a Potential Biomarker for Lung Adenocarcinoma: Integrated Biological Network Analysis.Journal of personalized medicine · 2020Article
- Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.British journal of cancer · 2020Article
- Radiomics Prediction of EGFR Status in Lung Cancer-Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data.Tomography (Ann Arbor, Mich.) · 2020Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiogenomics is a new field that provides clinically useful prognostic predictions by linking molecular characteristics such as the genetic aberrations of malignant tumors with medical images. The abnormal expression of serum microRNA-1246 (miR-1246) has been reported as a prognostic factor of esophageal squamous cell carcinoma (ESCC). To evaluate the power of the miR-1246 level predicted with radiogenomics techniques as a predictor of the prognosis of ESCC patients. The real miR-1246 expression (miR-1246
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