CancerStop.dev: An Interactive Web Platform Integrating Prognostic Data, Clinical Trials, and Genomic Resources for Patient Empowerment

Patients facing cancer diagnoses must navigate fragmented information spanning prognosis, clinical research opportunities, and genomics-informed therapy. CancerStop.dev is a React-based web platform that consolidates trusted public resources into a single patient-centered interface to support informed decision-making. The platforms built-in ComboReg module presents interactive relative survival estimates up to 10 years after diagnosis by modeling (combined regression) age-at-diagnosis and stage-at-diagnosis using publicly available data from the SEER Program. Users can adjust an age slider and view stage-specific curves, enabling individualized and comprehensible visualizations of survivorship trends. A Clinical Trials module links directly to ClinicalTrials.gov, providing context-aware queries and free-form keyword filtering (e.g., mutations, investigational agents) to surface ongoing studies. The Genes & More module connects to NCBI ClinVar for variant-level insights, facilitating precision medicine exploration when genetic testing results are available. An Approved Drugs module routes to the National Cancer Institute resources listing FDA-approved agents relevant to specific cancers, aiding therapy literacy. A curated search tool (PresciQure) complements these features by streamlining access to the biomedical literature, package inserts of FDA-approved drugs, and related oncology resources. The platform is non-prescriptive, emphasizes transparency regarding data provenance and limitations, and is positioned to incorporate additional cancer types, demographic stratifications, and multi-omic resources. CancerStop.dev aims to empower patients, caregivers, and clinicians with timely, integrated, and navigable information, thereby strengthening their advocacy and encouraging participation in research and precision care. SignificanceCancerStop.dev integrates prognosis, clinical trials, and genomic insights into a single, user-friendly platform, enabling patient and care teams to make faster, better-informed decisions.