Background: Doxorubicin is the preferred chemotherapeuticdrug for osteosarcoma treatment of which clinical efficacy is limited because of its chemo-resistance and cardiac toxicity. It is necessary to develop the combination regimen with complementary molecular mechanisms to reduce the side effects and enhance sensitivity of Doxorubicin. EGCG is a polyphenol in green tea with antitumor bioactivity,which has been found that its combination with certain chemotherapeutic drugs could improve the antitumor efficiency. Methods: In this study, MTT assay was used to detect the cell growth inhibition The CD133+/CD44+ cells were isolated from U2OS and SaoS2 cell lines using magnetic-activated cell sorting and identified by flow cytometry analysis. qRT-PCR was used for determining the relative mRNA levels of key genes. Immunofluorescence was performed to evaluate the autophagy flux alterations. Self-renewal ability was accessed by sphere-forming assay. Tumorigenicity in nude mice was preformed to evaluate tumorigenicity in vivo. Results: We found that EGCG targeting LncRNA SOX2OT variant 7 produced synergistic effects with Doxorubicin on osteosarcoma cell growth inhibition. On the one hand, EGCG could reduce the Doxorubicin-induced pro-survival autophagy through decreasing SOX2OT variant 7 to improve the growth inhibition of Doxorubicin. On the other hand, EGCG could partially inactivate Notch3/DLL3 signaling cascade targeting SOX2OT variant 7 to reduce the stemness then abated drug-resistance of osteosarcoma cells.
Vascular endothelial growth factor (VEGF) plays an important role in the tumor angiogenesis, and its expression has been supposed to be a biomarker of prognosis in patients with osteosarcoma. There are many studies assessing the prognostic role of VEGF expression in osteosarcoma, and no consistent outcomes are reported. To provide a comprehensive assessment of the prognostic role of VEGF expression, we performed a systematic review and meta-analysis of published studies. We assessed the effect of VEGF expression on the overall survival rate and the disease-free survival rate by calculating the pooled odds ratio (OR) with corresponding 95 % confidence interval (95 %CI). Finally, 12 studies with a total of 559 osteosarcoma patients were included into the systematic review and meta-analysis. Compared with osteosarcoma patients with low or negative VEGF expression, patients with high VEGF expression were obviously associated with lower disease-free survival (OR=0.25, 95 %CI 0.11-0.58, P=0.001, I (2) =56.4 %). In addition, patients with high VEGF expression were obviously associated with lower overall survival (OR=0.22, 95 %CI 0.13-0.35, P<0.001, I (2) =0.0 %). Therefore, the findings from this systematic review suggest that VEGF expression is an effective biomarker of prognosis in patients with osteosarcoma.
Whether long non-coding RNA (lncRNA) single-nucleotide polymorphisms (SNPs) affect prognosis of acute myeloid leukemia (AML) remains unknown. To search the association between lncRNA SNPs and AML outcomes, thirty tagSNPs in five lncRNAs were genotyped in 313 AML patients. Survival analysis indicated that GAS5 rs55829688 (T > C) was significantly associated with prognosis of AML (p = 0.018). Patients with rs55829688 CC genotype showed higher GAS5 expression in peripheral blood mononuclear cells (PBMCs) (p = 0.025) and harbored a longer platelets recovery (p = 0.040) than carriers of rs55829688T allele. In vitro study indicated that GAS5 promoter harboring the rs55829688C allele showed marginally increased reporter gene activity (p = 0.019), and the promoter activity was increased by TP63 in a dose-dependent manner (P = 0.001). Moreover, GAS5 higher expression predict shorter AML overall survival (OS), which validated in GEO GSE12417 dataset (p = 0.011). In conclusion, rs55829688 polymorphism could increase GAS5 expression by interacting with TP63, which might aggravate the myelosuppression and in turn lead to poor prognosis in AML. Trail registration number: ChiCTR-PPC-14005297.
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