A new statistical approach identifies non-coding regulatory regions of genes as driver candidates with recurrent mutations across cancer samples that associate with gene expression, patient survival or mutational phenotype.

Method NEAdriver employs knowledge from global networks to predict novel cancer driver genes in an individualized manner, which is done by accounting for mutations’ co-occurrence in each tumor genome and rigorous statistical evaluation.

In contrast with earlier conclusions, negative selection has a major role in cancer evolution.

Different types of epigenetic DNA modifications affect the likelihood of cytosine mutations in cancer.

The V600E mutation in BRAF is a cancer hot spot because it opens the activation segment through destabilization of autoinhibitory interactions, but it does not significantly impair folding of the inactive or active kinase domain.

The creation of a non-invasive assay for detecting urothelial cancer could have a profound impact on how we find and treat the disease.

Mutational inactivation of the JNK signaling pathway causes genomic instability and breast cancer development.

The protofilaments that curl outward from a disassembling microtubule tip carry a large amount of strain energy and they can drive movement with an efficiency similar to conventional motor proteins.

Comparative analysis establishes genetic links among angioimmunoblastic T-cell lymphoma (AITL), clonal hematopoiesis, and concomitant hematologic malignancies, and provides insights into the cell of origin, etiology, and biomarker discovery for AITL.

The wtf meiotic drivers change the fitness landscape of meiosis in outcrossed Schizosaccharomyces pombe demonstrating that genetic parasites can favor the evolution of variants that disrupt meiotic fidelity.