Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …

BRCA1 and BRCA2 play a critical role in a variety of molecular processes related to DNA
metabolism, including homologous recombination and mediating the replication stress …

Recent clinical development of KRAS inhibitors has heightened interest in the genomic
landscape of KRAS-altered cancers. We performed a pan-cancer analysis of KRAS-altered …

PURPOSE The combination of encorafenib (BRAF inhibitor) plus binimetinib (MEK inhibitor)
has demonstrated clinical efficacy with an acceptable safety profile in patients with BRAF …

PURPOSE Profiling of circulating tumor DNA (ctDNA) is increasingly adopted in the
management of solid tumors, concurrent with increased availability of more comprehensive …

Existing guidance regarding clinically informed germline testing for patients with cancer is
effective for evaluation of classic hereditary cancer syndromes and established gene/cancer …

Cancer genomes from patients with African (AFR) ancestry have been poorly studied in
clinical research. We leverage two large genomic cohorts to investigate the relationship …

Neuroblastoma evolution, heterogeneity, and resistance remain inadequately defined,
suggesting a role for circulating tumor DNA (ctDNA) sequencing. To define the utility of …

The detection of circulating tumor DNA (ctDNA) in liquid biopsy samples as an oncological
marker is being used in clinical trials at every step of clinical management. As ctDNA-based …

For patients with advanced stage non-small cell lung cancer (NSCLC), treatment strategies
have changed significantly due to the introduction of targeted therapies and immunotherapy …