A comprehensive evaluation of single nucleotide polymorphisms associated with osteosarcoma risk: A protocol for systematic review and network meta-analysis

Toll-Like Receptor Polymorphisms and the Risk of Cancer: Meta-analysis Study

A systematic review and meta-analysis is a useful method to summarize the different results from primary data, which can then provide an evidence-based outcome. Meta-analysis generates quantitative data by calculating effect sizes, which include odd ratios, relative risks, proportions, correlation coefficients, and so forth. The study of single-nucleotide polymorphisms (SNPs) and the association with the interested outcome is one discipline that has resulted in inconsistent relations. Therefore, the meta-analysis aimed to summarize the relevant data on SNPs associated with the outcome of interest. Herein, we describe a comprehensive meta-analysis on Toll-like receptor-9 polymorphism and the risk of cervical cancer.

MicroRNA34a is associated with chemotherapy resistance, metastasis, recurrence, survival, and prognosis in patient with osteosarcoma

BACKGROUND

Osteosarcoma (OS) is the primary malignant bone tumor that most commonly affects children, adolescents, and young adults. MicroRNA-34a (miR-34a) is involved in tumor metastasis and may be a prognostic marker for patients with cancer. The aim of the present study was to explore the role of miR-34a in patients with OS. The underlying associations between miR-34a expressions and metastasis, recurrence as well as and prognosis were comprehensively analyzed in OS patients.

METHODS

Reverse transcriptase quantitative PCR (RT-qPCR) was used to investigate serum level of miR-34a between clinical OS patients (n = 162) and age-matched healthy controls (n = 162). Expression of miR-34a in OS tissues and adjacent tissues was analyzed using RT-qPCR. RT-qPCR was used to compare the serum level of miR-34a in patients with OS before and after chemotherapy. Multivariate Cox-regression analysis was used to analyze the association between serum level of miR-34a and chemotherapy resistance, overall survival, as well as recurrence and prognosis of OS patients. Five-year recurrence and survival were estimated using Kaplan-Meier curves.

RESULTS

Serum level of miR-34a was downregulated in OS patients (n = 86) compared to age-matched healthy controls (n = 86). Expression of miR-34a was downregulated in OS tissue compared to adjacent tissues in clinical patients. The expression of serum miR-34a before and after chemotherapy was positively correlated with the expression of miR-34a in the corresponding tissues. Expression of miR-34a was higher in the group where chemotherapy was effective than that patient where chemotherapy was ineffective. Expression of miR-34a was negatively associated with chemotherapy resistance of OS patients. High serum levels of miR-34a were associated with longer overall survival in OS patients and lower metastasis. Multivariate Cox-regression analysis identified miR-34a serum level with potential prognostic significance.

CONCLUSION

The expression level of serum miR-34a in patients with OS is closely related to the chemotherapy resistance, metastasis, recurrence, and survival of osteosarcoma, which can be used as one of the potential biomarkers and prognosis for the treatment of OS patients. Therefore, miR-34a may be a potential molecular for prediction of the efficacy of chemotherapy and prognosis in OS patients.

Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma

Osteosarcoma is a common malignant bone tumor characterized by the production of osteoid stroma by the tumor. However, effect of IGFBP4 and TAGLN on the survival of osteosarcoma is unclear. The GEO database was used to identify the differentially expressed genes (DEGs) between control samples and osteosarcoma. Genes for biological process (BP), cellular composition (CC), and molecular function (MF) were examined using DAVID, Metascape, and GSEA. GSE14359 and GSE36001 were downloaded in the GEO database. GEO2R was used to find DEGs between control samples and osteosarcoma. The cytoHubb also found the hub genes of IGFBP4 and TAGLN. The Kaplan–Meier method was used to analyze overall survival. A total of 134 patients with osteosarcoma were enrolled in this study. The RNA levels of IGFBP4 and TAGLN were evaluated by RT-qPCR. The correlation between IGFBP4 and TAGLN expression and their associations with clinical indicators were analyzed using Spearman's rho test and Pearson's Chi-squared test. Univariate and multivariate Cox regression analyses were used to determine the potential prognostic factors. And the animal model was used to verify the role of hub genes on the osteosarcoma by the RT-qPCR and immunofluorescence. Support Vector Machine (SVM) was performed to construct the correlation among the expression of IGFBP4, TAGLN, and osteosarcoma. Through bioinformatics, IGFBP4 and TAGLN were identified as the hub genes of osteosarcoma. And osteosarcoma patients with high expression levels of IGFBP4 (HR = 0.56, P = 0.013) and TAGLN (HR = 0.52, P = 0.012) had better overall survival times than those with low expression levels. The results showed that pathologic grade (P = 0.017), tumor metastasis (P < 0.001), and enneking stage (P < 0.001) were significantly correlated with IGFBP4. Also, pathologic grade (P = 0.002), tumor metastasis (P < 0.001), and enneking stage (P < 0.001) were significantly related to the TAGLN. Spearman’s correlation coefficient displayed that IGFBP4 were significantly correlated with the tumor metastasis (ρ = − 0.843, P < 0.001), enneking stage (ρ = − 0.500, P < 0.001), and TAGLN (ρ = 0.821, P < 0.001). IGFBP4 (HR = 0.252, 95% CI 0.122–0.517, P < 0.001) and TAGLN (HR = 0.155, 95% CI 0.089–0.269, P < 0.001) were significantly associated with overall survival. Based on the qPCR and immunofluorescence, IGFBP4 and TAGLN were down-regulated in the osteosarcoma tissue than the control group. And the SVM presented that there exists strong relationship among the expression of IGFBP4, TAGLN, and osteosarcoma. IGFBP4 and TAGLN may be attractive molecular targets for osteosarcoma, opening a new avenue for research into the disease.