Tumor-associated-fibrosis and active collagen-CD44 axis characterize a poor-prognosis subtype of gastric cancer and contribute to tumor immunosuppression.

Background: Tumor-associated fibrosis modifies the tumor microenvironment (TME), hinders the infiltration and activity of cytotoxic immune cells, and is a critical pathological process leading to the ineffectiveness of tumor immunotherapy in gastric cancer (GC). However, the specific mechanisms and interventions are yet to be fully explored.

Methods: Our study included 375 gastric cancer samples from TCGA, 1 single-cell RNA sequencing (scRNA-seq) dataset comprising of 15 gastric cancer samples from GEO, 19 cohorts of immunotherapy and 2 GWAS datasets.

FDA-approved drugs featuring macrocycles or medium-sized rings.

Macrocycles or medium-sized rings offer diverse functionality and stereochemical complexity in a well-organized ring structure, allowing them to fulfill various biochemical functions, resulting in high affinity and selectivity for protein targets, while preserving sufficient bioavailability to reach intracellular compartments. These features have made macrocycles attractive candidates in organic synthesis and drug discovery. Since the 20th century, more than three-score macrocyclic drugs, including radiopharmaceuticals, have been approved by the US Food and Drug Administration (FDA) for treating bacterial and viral infections, cancer, obesity, immunosuppression, inflammatory, and neurological disorders, managing cardiovascular diseases, diabetes, and more.

Comparison of the Effectiveness of Different Antidepressants in Preventing Psychiatric Rehospitalization.

Objective: Patients with major depressive disorder (MDD) often face poor health outcomes. Additionally, patients with multiple hospitalizations tend to have worse predicted disease prognosis. Antidepressant medications remain a first-line treatment option for MDD, but data evaluating the effects of different antidepressants on psychiatric readmission rates is lacking.

Machine learning models for predicting postoperative peritoneal metastasis after hepatocellular carcinoma rupture: a multicenter cohort study in China.

Background: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a critical issue that negatively affects patient prognosis. Machine learning models have shown great potential in predicting clinical outcomes; however, the optimal model for this specific problem remains unclear.

Methods: Clinical data were collected and analyzed from 522 patients with ruptured HCC who underwent surgery at 7 different medical centers.

Miao medicine Tiekuaizi (): a review of its traditional uses, phytochemistry, pharmacology, and predictive analysis on quality markers.

Miao medicine Tiekuaizi () has been successfully used by Guizhou Miao ethnic physicians in clinical treatments, demonstrating significant curative effects. The research progress on the resource distribution, traditional uses, phytochemistry, and pharmacology of Tiekuaizi was reviewed by collecting related literature from traditional Chinese medicine books and various databases. Based on the comprehensive review and centered around the principles of traditional Chinese medicine quality marker (Q-Marker) theory, nine secondary metabolites (scopoletin, scopolin, isofraxidin, fraxin, scoparone, calycanthoside, 6, 7, 8-trimethoxycoumarin, tomenin, and calycanthine) are suggested as potential Q-markers for Tiekuaizi to establish quality control standards.