Vedanth Ramji, Baladithya Muralitharan, Ganeshram Janakiraman, Natarajan Ganesan
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 platform's 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.