Mechanism of confinement enhancing enzyme intrinsic activity
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Mar-2026 05:15 ET (29-Mar-2026 09:15 GMT/UTC)
Chinese researchers identified tumor-specific MHC-II (tsMHC-II) expression as a novel biomarker predicting response to neoadjuvant immunotherapy in gastric cancer. Single-cell profiling revealed higher MHC-II expression in tumor cells from treatment-sensitive patients. Validated in prospective trials, tsMHC-II-positive patients achieved 36.67% pathological complete response rate versus low rates in unselected populations. This simple immunohistochemistry-based biomarker outperforms current PD-L1 assessment and could guide personalized therapy for gastric cancer patients.
Sepsis complicated by acute respiratory failure is a severe condition among patients admitted to the intensive care unit (ICU). Researchers have developed and externally validated a machine learning model to predict the 28-day mortality risk in such ICU patients with sepsis. Using routinely collected clinical variables from the first 24 hours after admission, the model demonstrated stable predictive performance in large critical care databases, with potential value for early risk stratification and individualized treatment decision-making.