The rapid advancement in ‘omics’ technologies and integration of data science in preclinical, translational and clinical research have enabled the characterisation of tumour landscapes at a spatial, temporal, local and systemic level, with unprecedented resolution. The combination of big data, sophisticated computational approaches, including artificial intelligence, and state-of-the-art…
Nature Reviews Cancer – In this Journal Club, Oh and Kim discuss a study demonstrating the mechanisms underlying histological transformation of lung adenocarcinoma to neuroendocrine…
Nature Reviews Cancer – In this Review, Zhang and colleagues provide an overview of the molecular characteristics of paediatric cancer and highlight how these malignancies…
Nature Reviews Cancer – Dias et al. have shown that intentional further activation of oncogenic signalling rather than its inhibition represents an alternative strategy leading…
Nature Reviews Cancer – Using the tumour microenvironment to improve therapy efficacy
Nature Reviews Cancer – In this Tools of the Trade article, Daniel Kirschenbaum describes the development of Zman-seq and its utility for capturing dynamic changes…
Nature Reviews Cancer – In this Review, Cichowski and colleagues provide an overview of combinatorial strategies designed to treat RAS-driven cancers that are based on…
Nature Reviews Cancer – Generalist medical artificial intelligence (GMAI) models are gaining momentum in their applications for cancer treatment. In this Comment, Gilbert and Kather…
Nature Reviews Cancer – In a recent study published in Nature, Goto et al. explore mechanisms of immune evasion in early colorectal cancers and adenomas…
Nature Reviews Cancer – In this recent study, He et al. establish that chronic stress promotes metastasis through stress-induced formation of neutrophil extracellular traps (NETs).
