CancerGeneHub: An Evidence-Linked Bidirectional Web Portal for Centralised Exploration of Cancer–Gene Associations

Abstract

Cancer is a major global health challenge characterised by genetic and molecular alterations that disrupt normal cellular growth, regulation, and survival. The rapid expansion of cancer genomics has generated extensive information concerning cancer-associated genes; however, this information remains distributed across scientific publications and specialised biological databases, making efficient retrieval difficult, particularly for students and early-stage researchers. This study presents CancerGeneHub, a web-based Cancer Gene Information Portal developed to provide centralised and evidence-linked exploration of gene–cancer associations. The portal organises 8,077 gene–cancer associations involving 3,177 genes and 130 cancer types distributed across 11 body-system classifications. A bidirectional search mechanism allows users to investigate genes associated with a selected cancer type and, conversely, cancer types associated with a selected gene. Each association is linked to a PubMed Identifier, enabling users to trace the reported relationship to supporting scientific literature. The system was implemented using React and Tailwind CSS for the frontend, Express for backend services, and MongoDB for data storage and management. The resulting platform combines structured biological information, searchable many-to-many relationships, and literature traceability within a single web interface. The developed system provides an accessible resource for cancer-genetics education and exploratory research. It establishes a scalable foundation for future integration of genomic databases, evidence scoring, mutation information, functional annotations, and interactive analytical capabilities. Keywords— Cancer genomics; cancer-associated genes; gene–cancer association; bioinformatics; PubMed; biomedical information retrieval.