The volume of cancer data is enormous and continually growing. For instance, a single whole-genome sequence can generate up to 200 GB of raw data. When considering large-scale projects like The Cancer Genome Atlas (TCGA), which has sequenced thousands of cancer genomes, the data volume reaches petabytes. Moreover, the integration of multi-omics data (genomics, transcriptomics, proteomics, etc.) and longitudinal clinical data adds exponentially to this volume.
