Gut is a leading international journal in gastroenterology and hepatology and has an established reputation for publishing first class clinical research of the alimentary tract, the liver, biliary tree and pancreas. Gut delivers up-to-date, authoritative, clinically oriented coverage in all areas of gastroenterology and hepatology. Regular features include articles by leading authorities describing novel mechanisms of disease and new management strategies, both diagnostic and therapeutic, likely to impact on clinical practice within the foreseeable future.
Our new online collection highlights all research relating to the COVID-19 pandemic published by Gut, Frontline Gastroenterology and BMJ Open Gastroenterology. It is updated regularly as new articles are published.
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Machine-learning model derived gene signature predictive of paclitaxel survival benefit in gastric cancer
To cite: Sundar R, Barr Kumarakulasinghe N, Huak Chan Y, et al. Machine-learning model derived gene signature predictive of paclitaxel survival benefit in gastric cancer: results from the randomised phase III SAMIT trial. Gut. 2022;71:676-685.
Read the full article here: link
Objective: To date, there are no predictive biomarkers to guide selection of patients with gastric cancer (GC) who benefit from paclitaxel. Stomach cancer Adjuvant Multi-Institutional group Trial (SAMIT) was a 2×2 factorial randomised phase III study in which patients with GC were randomised to Pac-S-1 (paclitaxel +S-1), Pac-UFT (paclitaxel +UFT), S-1 alone or UFT alone after curative surgery.
Conclusions: Using machine-learning techniques on one of the largest GC trials (SAMIT), we identify a gene signature representing the first predictive biomarker for paclitaxel benefit.