In the paper by Wapenaar et al ( see page 10.1136/gut.2007.133132 ) the authors have taken a fascinating approach to identifying shared mechanisms involved in the genesis of either coeliac disease or ...

Objective Hepatitis delta virus (HDV) was shown to persist for weeks in the absence of HBV and for months after liver transplantation, demonstrating the ability of HDV to persevere in quiescent ...

Randomised controlled trials (RCTs) have shown that computer-aided detection (CADe) can significantly improve adenoma detection rates (ADRs). In contrast, implementation studies did not show ADR ...

Background Chronic inflammation and elevated reactive oxygen species are key contributors to hepatocellular carcinoma (HCC) ...

In patients with small intestinal Crohn’s disease (CD), there is a need for a simple, non-invasive test to reduce dependence on invasive procedures (eg, enteroscopy) and costly imaging (eg, MRI or CT ...

A high adenoma detection rate (ADR) is vital for effective colorectal cancer (CRC) screening, but evidence suggests limited additional benefit beyond a certain threshold. In a pooled analysis of five ...

Background Liver metastasis is a major cause of mortality in patients with colorectal cancer (CRC). Understanding how CRC cells influence the formation of hepatic premetastatic niches (PMNs) is ...

Tissue epithelia maintain their lineage identity under normal conditions but occasionally undergo ‘reprogramming’ into another lineage—a phenomenon known as metaplasia. Notable examples include ...

Background Metabolic dysfunction-associated steatotic liver disease (MASLD) affects over 30% of the general population and is the fastest growing cause of hepatocellular carcinoma (HCC). Current ...

We have carefully reviewed the article titled ‘Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study’ by ...

Zeng X. Unleashing the potential of exosome ncRNAs for early gastric cancer detection—a critical appraisal of machine learning approaches. Gut 2025;74:1191–1192. This letter 1 has been retracted by ...