About this Research Topic
This Research Topic aims to collect a series of scientific contributions to the field of screening and risk prediction in gastric and esophageal cancers. To promote these prediction models into practice, we would encourage the authors to submit articles developing easy-to-use models. We would also welcome studies evaluating the performance and cost-effectiveness of existing models or clinically used biomarkers in different target populations. These may include, but are not limited to, the followings:
• Identification of risk factors or biomarkers for gastric and esophageal cancers with liquid biopsy, multi-omics data analysis, AI-assisted deep learning, or longitudinal analysis of serum markers used by clinicians.
• Real-world studies evaluating the cut-off values for risk stratification of existing prediction models.
• Development or validation of novel questionnaire-based risk stratification tools for gastric or esophageal cancer or pan-cancer screening.
• Development or validation of prediction models for the surveillance of gastric or esophageal cancer
• Evaluation or comparison of the performance of existing models in external populations
• Studies that add biomarkers to existing models and evaluate their performance
• Machine learning or AI-assisted model of early detection and surveillance for gastric or esophageal cancer
• Genetic susceptibility and its application in risk prediction of gastric or esophageal cancer
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Keywords: Prediction model, Cancer screening, Risk stratification, High-risk population, Gastric cancer, Esophageal cancer
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.