Objective To determine the efficacy of radioisotopes to control metastasic pain in patients with tumor bone metastases and complications due to bone metastases (hypercalcaemia, bone fracture and spinal cord compression). The effectiveness of radioisotopes in relation to patient survival and adverse effects were also assessed. Methods MEDLINE (1966 to April 2005),EMBASE (1966 to April 2005), The Cochrane Library (Issue 1, 2005) and CBMdisc (1979 to April 2005) were searched for randomized controlled trials (RCTs). Data were extracted by two reviewers using a designed extraction form. The quality of included RCTs was critically assessed. RevMan 4.2 software was used for data analysis. Results Four RCTs were included. The results of meta-analysis showed that small dose of radioisotopes couldn’t control metastatic pain in short term(2 months) with relative risk (RR) 1.13, 95%confidence interval (CI) 0.34 to 3.76, but large dose can significantly control metastatic pain in medium term(6 month) with RR 1.90, 95％CI 1.23 to 2.92; no evidence was available to assess long term(≥12 months) effects. No study provided data on quality of life, mortality, bone metastatic complications (hypercalcaemia, bone fracture) and analgesic use etc. Leukocytopenia and thrombocytopenia were secondary effects associated with the administration of radioisotopes. The incidences of leukocytopenia and thrombocytopenia were significantly greater in patients treated by radioisotopes with RR 8.28, 95％CI 2.24 to 30.67, and RR 3.70, 95％CI 1.59 to 9.04, respectively. Conclusions There is some evidence indicating that large dose of radioisotopes can relieve metastatic bone pain over one to six months, but adverse effects, particularly leukocytopenia and thrombocytopenia, have also been experienced.
Objective To evaluate the effectiveness of reamed versus nonreamed intramedullary nailing for femoral fractures. Methods Randomized controlled trials (RCTs) and clinical controlled trials (CCTs) were identified from MEDLINE (1966-2004.5), EMBASE (1966-2004.5), Cochrane Library (Issue 2, 2004), Cochrane Musculoskeletal Injuries Group Database (2004.5), and CBM disc (1979-2004.5). We handsearched Chinese Journal of Orthopaedy (from establishment to May 2004) and Orthopaedic Journal of China (from establishment to May 2004) . RCTs and CCTs were included. Data were extracted by two reviewers with designed extraction form. RevMan 4.2.3 software was used for data analysis. Results Five RCTs and two CCTs were included. The combined results of meta-analysis showed that reamed intramedullary nailing for femoral fractures can reduce the rate of nonunion (RR=0.38, 95%CI 0.17 to 0.83, P=0.01) and the rate of implant failure (RR=0.42, 95%CI 0.20 to 0.89, P=0.02). Conclusions Compared with nonreamed intramedullary nailing for femoral fractures, reamed intramedullary nailing can reduce the rates of nonunion and implant failure. However, the relation between reaming or pulmonary complications, the time of union, infection, malunion, operative time, and blood loss needs further study.
ObjectiveTo analyze the correlation between the molecular biological information of SMARCA4-deficient non-small cell lung cancer (SMARCA4-dNSCLC) and its clinical prognosis, and to explore the spatial features and molecular mechanisms of interactions between cells in the tumor microenvironment (TME) of SMARCA4-dNSCLC. MethodsUsing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), this study conducted functional enrichment analysis on differentially expressed genes (DEGs) in SMARCA4-dNSCLC and depicted its genomic variation landscape. Through weighted gene co-expression network analysis (WGCNA) and a combination of 10 different machine learning algorithms, patients in the training group were divided into a low-risk group and a high-risk group based on a median risk score (RiskScore). A corresponding prognostic prediction model was established, and on this basis, a nomogram was constructed to predict the 1, 3, and 5-year survival rates of patients. K-M survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model. External datasets from GEO further validated the prognostic value of the prediction model. In addition, we also evaluated the immunological characteristics of the TME of the prognostic model. Finally, using single-cell RNA sequencing (scRNA-seq) and spatial transcriptome (ST), we explored the spatial features of interactions between cells in the TME of SMARCA4-dNSCLC, intercellular communication, and molecular mechanisms. ResultsA total of 56 patients were included in the training group, including 38 males and 18 females, with a median age of 62 (56-70) years. There were 28 patients in both the low-risk and high-risk groups. A total of 474 patients were included in the training group, including 265 males and 209 females, with a median age of 65 (58-70) years. A risk score model composed of 8 prognostic feature genes (ELANE, FSIP2, GFI1B, GPR37, KRT81, RHOV, RP1, SPIC) was established. Compared with patients in the low-risk group, those in the high-risk group showed a more unfavorable prognostic outcome. Immunological feature analysis revealed differences in the infiltration of various immune cells between the low-risk and high-risk groups. ScRNA-seq and ST analyses found that interactions between cells were mainly through macrophage migration inhibitory factor (MIF) signaling pathways (MIF-CD74+CXCR4 and MIF-CD74+CD44) via ligand-receptor pairs, while also describing the niche interactions of the MIF signaling pathway in tissue regions. ConclusionThe 8-gene prognostic model constructed in this study has certain predictive accuracy in predicting the survival of SMARCA4-dNSCLC. Combining the ScRNA-seq and ST analyses, cell-to-cell crosstalk and spatial niche interaction may occur between cells in the TME via the MIF signaling pathway (MIF-CD74+CXCR4 and MIF-CD74+CD44).
Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.
Objective To investigate the risk factors of infection after radiofrequency ablation in patients with liver metastases after choledochojejunostomy. Methods The clinical data of patients with liver metastases treated by radiofrequency ablation in our hospital from January 2010 to April 2022 were collected retrospectively and analyzed by univariate and multivariate logistic regression analysis. Results A total of 57 patients were included in the study, and the total number of postoperative infections was 19 (33.33%). Univariate logistic regression analysis showed that the tumor location, maximum tumor diameter, number of tumors, ablation times, and ablation duration were related to the occurrence of infection after radiofrequency ablation (P<0.01). The results of multivariate logistic regression analysis showed that the tumor location [OR=6.45, 95%CI (1.11, 37.35), P=0.037] and ablation duration [OR=1.49, 95%CI (1.16, 1.91), P=0.002] were independent risk factors for infection after radiofrequency ablation in patients with choledocho-jejunostomy. Conclusions For patients with metastatic liver cancer with a history of choledochojejunostomy, the tumor location and the duration of ablation are closely related to postoperative infection. We should strengthen the indivi-dualized management of such patients during and after operation should be strengthened to promote disease recovery.