Background Endoscopic resection is used for the management of dysplasia in ulcerative colitis (UC), but a subset of patients develop subsequent advanced neoplasia (AN), i.e., high-grade dysplasia and/...

The authors present INCOMMON, an open-source Bayesian inference tool that determines the multiplicity and copy number of driver mutations from tumor sequencing datasets.

Whole-genome sequencing analysis of tumour and matched non-tumour host tissues of the brown bullhead catfish reveals a type of naturally occurring transmissible cancer.

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Integration of gene expression data from multiple tissues across four mammalian species reveals conserved transcriptomic signatures of mammalian ageing and mortality and uncovers the modular...

Will medical trainees who rely on AI fail to develop foundational independent clinical reasoning? This Perspective outlines a precautionary framework to preserve foundational competence while supporti...

View details and apply for this Data Scientist vacancy in Sutton. Salary : Salary range £39,805 to £53,500 (Dependent on experience ) Reporting to: Professor Trevor Gra...

This prospective cohort study of patients with cancer incorporated antemortem follow-up visits and rapid autopsy analyses, and reports that spikes—rapidly increasing levels—of circulating tumor cell c...

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Spatial omics has empowered the discovery of developmental and disease-associated molecular signatures, cell states and multicellular niches, as well as the evaluation of disease heterogeneity within and across organs. The authors review spatially resolved molecular changes across diseases and discuss the potential of spatial multi-omics for clinical applications, including the recent impact of artificial intelligence.

Nature - Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.

Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.

With changes to preclinical curricula, some medical schools have eliminated certain freestanding subject-based courses, such as histology and pathobiology.

The analysis presented in this Brief Communication shows that, despite their complexity, current deep learning models do not outperform linear baselines in predicting gene perturbation effects, thus e...

Background Transforming Growth Factor (TGF) and Bone Morphogenetic Protein (BMP) signalling critically influence pancreatic ductal adenocarcinoma (PDAC) progression, with TGF-B paradoxically exerting ...

Graham and colleagues analyzed locally advanced esophageal adenocarcinoma clinical trial patient samples and identified major changes in gene expression profiles and immune microenvironment compositio...

Epigenetic alterations co-evolve with genetic mutations to drive carcinogenesis and treatment response. Resolving genome-epigenome coevolution requires accurate multi-omic single cell measurement. Her...

In this Perspective, Kamila Naxerova discusses how genetic analyses of primary tumours and matched metastases can distinguish between competing metastasis evolution models, arguing that further insigh...

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most deadly malignancies with a highly immunosuppressive tumor immune microenvironment (TIM…

With the advent of novel cancer treatment options such as immunotherapy, studying the tumour immune micro-environment (TIME) is crucial to inform on prognosis and understand potential response to ther...

Neuroendocrine tumors (NETs) are a diverse group of neoplasms that originate from neuroendocrine cells throughout the body. Diagnosing NETs presents unique challenges due to their varied presentation,...

Our current understanding of the metabolic landscape of pancreatic neuroendocrine tumors (PanNETs) is very limited. Such knowledge could lead the development of novel therapeutic strategies for subgro...

The applications of artificial intelligence (AI) and deep learning (DL) are leading to significant advances in cancer research, particularly in analysing histopathology images for prognostic and treat...

Tumor-infiltrating lymphocytes (TILs) and the tumor microenvironment have become increasingly important in cancer research, and immunotherapy has achi…

Clinical trials in oncology are important tools to identify and establish new effective drugs for cancer treatment. Since the development of the concept of precision oncology, a huge number of multi-c...

In this essay, I will put forth what I see as a major conceptual challenge for biology in the next decade, one that is inspired by Crick’s Central Dogma: understanding information flow in the cell in ...