[Efficacy of bismuth-based quadruple therapy as first-line treatment for Helicobacter pylori infection].

OBJECTIVE: To evaluate the efficacy of bismuth-based quadruple therapy as the first-line treatment for H.pylori infection. METHODS: A total of 136 patients with H.pylori related peptic ulcer or chronic gastritis were randomized into two groups: 67 patients in bismuth-based quadruple group received esomeprazole 20 mg, clarithromycin 0.5 g,amoxicillin 1.0 g,and bismuth potassium citrate 220 mg for 7 d; 69 patients in standard triple group received esomeprazole 20 mg, clarithromycin 0.5 g and amoxicillin 1.0 g for 7 d. Outcome of eradication therapy was assessed by (14)C-UBT. On ITT and PP analysis, calculating the cost-effectiveness ratio (C/E) and the incremental cost-effectiveness ratio (delta C/delta E). RESULT: On ITT and PP analysis, the eradication rates of the quadruple therapy group were 82.09% and 88.71%, and those of the triple therapy group were 66.67% and 73.02% (P<0.05). The cost-effectiveness ratio of two groups was 4.15 and 4.82; The incremental cost-effectiveness ratio of quadruple therapy group was 1.02 as against triple therapy group. CONCLUSION: Compared to the standard triple therapy regimen, the bismuth-containing quadruple therapy regimen has higher eradication rate and cost-effectiveness, which can be recommended as the fist-line treatment for H.pylori infection.

Development of a Prognostic Signature Based on Single-Cell RNA Sequencing Data of Immune Cells in Intrahepatic Cholangiocarcinoma.

Analysis of single-cell RNA sequencing (scRNA-seq) data of immune cells from the tumor microenvironment (TME) may identify tumor progression biomarkers. This study was designed to investigate the prognostic value of differentially expressed genes (DEGs) in intrahepatic cholangiocarcinoma (ICC) using scRNA-seq. We downloaded the scRNA-seq data of 33,991 cell samples, including 17,090 ICC cell samples and 16,901 ICC adjacent tissue cell samples regarded as normal cells. scRNA-seq data were processed and classified into 20 clusters. The immune cell clusters were extracted and processed again in the same way, and each type of immune cells was divided into several subclusters. In total, 337 marker genes of macrophages and 427 marker genes of B cells were identified by comparing ICC subclusters with normal subclusters. Finally, 659 DEGs were obtained by merging B cell and macrophage marker genes. ICC sample clinical information and gene expression data were downloaded. A nine-prognosis-related-gene (PRG) signature was established by analyzing the correlation between DEGs and overall survival in ICC. The robustness and validity of the signature were verified. Functional enrichment analysis revealed that the nine PRGs were mainly involved in tumor immune mechanisms. In conclusion, we established a PRG signature based on scRNA-seq data from immune cells of patients with ICC. This PRG signature not only reflects the TME immune status but also provides new biomarkers for ICC prognosis.