Editor's Foreword

Abstract

Dear Scholars, Researchers, Clinicians, and Esteemed Readers,

Cancer is not a single disease, nor can it be understood through a single scale of observation. It arises through dynamic interactions among inherited susceptibility, acquired genomic alteration, epigenetic regulation, cellular state, tissue environment, immune response, and exposure over time. Tumors that share an anatomical diagnosis may differ profoundly in their molecular drivers, patterns of evolution, and response to therapy. This biological complexity is the central challenge of cancer research, but it is also the source of new opportunities for more precise diagnosis, prognosis, prevention, and treatment.

The development of high-throughput sequencing and computational analysis has transformed our ability to study that complexity. Whole-genome and transcriptome profiling, single-cell and spatial technologies, liquid biopsy, functional genomics, and integrative multi-omics now reveal tumor diversity at unprecedented resolution. At the same time, the expansion of clinically annotated cohorts and longitudinal data makes it possible to examine how genetic and genomic features shape therapeutic response and resistance. The task before us is not simply to generate more data, but to convert molecular information into knowledge that is reproducible, biologically meaningful, and capable of improving patient care.