Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative
information from digital histopathology images. AI is expected to reduce workload for human …

Over the past two decades, elucidation of the genetic defects that underlie cancer has
resulted in a plethora of novel targeted cancer drugs. Although these agents can initially be …

Lung cancer is the leading cause of cancer-associated mortality worldwide. Here we
analysed 1,644 tumour regions sampled at surgery or during follow-up from the first 421 …

The natural history of cancers can be understood through the lens of evolution given that the
driving forces of cancer development are mutation and selection of fitter clones. Cancer …

Pancreatic ductal adenocarcinoma (PDAC), already among the deadliest epithelial
malignancies, is rising in both incidence and contribution to overall cancer deaths. Decades …

Chromosomal instability (CIN) results in the accumulation of large-scale losses, gains and
rearrangements of DNA. The broad genomic complexity caused by CIN is a hallmark of …

Richter transformation (RT) is a paradigmatic evolution of chronic lymphocytic leukemia
(CLL) into a very aggressive large B cell lymphoma conferring a dismal prognosis. The …

Circulating tumour DNA (ctDNA) in blood plasma is an emerging tool for clinical cancer
genotyping and longitudinal disease monitoring. However, owing to past emphasis on …

Tumor heterogeneity is one of the hallmarks of cancer and a challenge in the field of
oncology. Tumor heterogeneity is the main cause of drug resistance, leading to therapeutic …

Abstract Characterization of somatic mutations at single-cell resolution is essential to study
cancer evolution, clonal mosaicism and cell plasticity. Here, we describe SComatic, an …