With the extensive use of information technology and the development of big data technology, the traditional treatment methods for cancer are not meeting our needs.The application of medical large data has now changed our tumor treatment model profoundly, but also brings a deeply cognition to the nature of malignant tumor.Development of medical big data analysis and management technologies are driving malignancy treatment model fromindividual treatment era into the precision medicine era, which allows us to change the prediction, diagnosis, treatment and monitor of malignancy.There are also a variety of challenges to resolve.

Objective:To compare the prognoses between parameningeal and non-parameningeal head and neck rhabdomyosarcoma based on propensity score matching and to explore the prognostic factors of overall survival in patients with head and neck rhabdomyosarcoma.Methods:The medical records of 64 patients with pathologically diagnosed as head and neck rhabdomyosarcoma from January 2016 to May 2020 in Peking Union Medical College Hospital were retrospectively retrieved, including 31 males and 33 females, with an average age of (8.0±8.9) years. Kaplan-Meier method was used to draw and compare survival curves in subgroup analysis according to different histopathological characteristics. Patients were divided into non-parameningeal (27 cases) and parameningeal (37 cases) group based on the location of primary lesion. Patients were further selected using 1∶1 propensity score matching method. The basic clinical data and overall survival were compared before and after matching. Prognostic factors were anlysed using Cox′s proportional hazards regression model.Results:In 64 patients with head and neck rhabdomyosarcoma, lower risk stratification, and lower TNM stage indicated higher overall survival (all P<0.05). Before matching, patients in parameningeal group presented with higher T stage and IRS (Intergroup Rhabdomyosarcoma Study) staging (all P<0.05). There were no significant differences in basic clinical data and 1-, 2-, and 3-year overall survival rates between two groups after matching( P>0.05). Tumor size smaller than 5 cm, embryonal histology, negative FOXO1 fusion gene, lower risk stratification, and lower TNM stage were associated with higher overall survival (all P<0.05). Among these, tumor size and histology were independent prognostic factors ( HR=2.36, 95% CI:1.07-5.20, P=0.033; HR=5.54, 95% CI: 1.18-25.95, P=0.030). Conclusions:There is no significant difference in overall survival between patients with parameningeal and non-parameningeal rhabdomyosarcomas. Tumor size smaller than 5 cm and embryonal histology are two independent prognostic factors.

Objective To investigate the mechanism of action of Xiaochaihu decoction in the treatment of hepatitis B based on network pharmacology. Methods The TCMSP database was used to obtain the main chemical components and action targets of the seven traditional Chinese medicines in Xiaochaihu decoction; the GeneCards and OMIM databases were used to obtain the targets associated with hepatitis B; the STRING online platform was used to construct a PPI network of potential targets, and R language was used to perform gene ontology (GO) functional enrichment analysis and KEGG pathway analysis; Cytoscape 3.7.2 was used to construct an "active component-core target" network and perform a topology analysis of this network; AutoDock vina and related software were used to perform molecular docking and visualized analysis of the active components with high value and the core targets in the network. Results A total of 193 main chemical components (including quercetin, kaempferol, wogonin, and naringenin) and 247 related targets were screened out, among which the key targets included RELA, MAPK1, TP53, ESR1, EGFR, and AKT1. A total of 2612 enrichment items were obtained by GO functional enrichment analysis, which were mainly involved in regulating the biological processes such as cell response to chemical stress, response to drugs, oxidative stress response, and lipopolysaccharide response. A total of 174 pathways were obtained by the KEGG pathway analysis, mainly involving hepatitis B, PI3K-AKT signaling pathway, and MAPK signaling pathway. Molecular docking results showed that the main active components had strong binding force to core targets, and the protein crystal complex had a stable conformation. Conclusion This study preliminarily shows that Xiaochaihu decoction exerts a therapeutic effect on hepatitis B through multiple components, targets, and pathways.