Upregulated β-galactoside α2,6-sialyltransferase I (ST6Gal-I) expression reportedly occurs in many cancers and is correlated with metastasis and poor prognosis. However, the mechanisms by which ST6Gal‑I facilitates gastric cancer progression remain poorly understood. Trastuzumab is exclusively used in human epidermal growth factor receptor 2 (HER2)+ gastric cancers; however, most advanced HER2+ gastric cancers develop trastuzumab resistance. Herein, we identified HER2 as an ST6Gal‑I substrate and showed that HER2 α2,6 sialylation confers protection against trastuzumab‑mediated apoptosis. SGC7901 cancer cell models in which ST6Gal‑I was overexpressed or knocked down were constructed, revealing that ST6Gal‑I overexpression induced high HER2 sialylation levels and increased cell viability and invasion compared to those in the vector cell line under serum starvation; ST6Gal‑I knockdown had the opposite effects. ST6Gal‑I overexpression also potentiated cell cycle arrest in the G2/S phase to reduce drug sensitivity. In addition, FACS analysis revealed that high ST6Gal‑I levels increased resistance to trastuzumab‑induced apoptosis, accompanied by decreased caspase‑3 levels. However, the ST6Gal‑I knockdown cell line revealed increased caspase‑3 levels and evident apoptosis compared with those in the vector cell line. Although ST6Gal‑I overexpression increased HER2 sialylation, corresponding to decreased HER2 phosphorylation, high α2,6‑sialylation enhanced Akt and ERK phosphorylation levels compared to those in the vector cell line; ST6Gal‑I knockdown had the opposite effects. Collectively, these results implicated a functional role of ST6Gal‑I in promoting tumor cell progression and trastuzumab resistance.
BackgroundPrevious studies have demonstrated that serum amyloid A (SAA) levels are correlated with the clinical outcomes of solid tumors. However, the available data have not been systematically evaluated. The objective of the present meta-analysis was to explore the prognostic value of SAA levels in solid tumors.MethodsEligible studies were identified from the PubMed, EMBASE and Science Citation Index electronic databases. The clinical characteristics, disease/progression-free survival (DFS/PFS) and overall survival (OS) were extracted from the eligible studies. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated with Stata 12.0 software. We also performed subgroup, meta-regression and sensitivity analyses.ResultsIn total, 12 eligible studies including 2749 patients were enrolled in the present meta-analysis. The pooled HRs with 95% CIs showed that elevated levels of SAA were significantly associated with poor OS (HR = 3.01, 95% CI 1.96–4.63) and DFS/PFS (HR = 1.67, 95% CI 1.31–2.12) in patients with solid tumors. Although publication bias was seem found in the studies with regard to OS, a further trim and fill analysis revealed that the adjusted HR was 3.02 (95% CI 1.96–4.63), which was close to the original HR. Subgroup analysis confirmed an elevated level of SAA as a strong prognostic marker in patients with solid tumors, regardless of tumor type, detection method, cut-off value, sample size, area and variance analyses.ConclusionOur meta-analysis indicated that elevated levels of SAA might be an unfavorable prognostic marker for OS in patients with solid tumors.
Background:Circulating cell-free DNA (cfDNA) isolated from plasma or serum by noninvasive procedures can serve as a “liquid biopsy” and has potential as a biomarker for the tumor burden and survival prediction of breast cancer (BC). However, its prognostic value in patients with BC is currently under debate. The aim of this meta-analysis was to investigate the relationship between cfDNA and survival outcome.Methods:We systematically searched PubMed, Embase, and Science Citation Index electronic databases for studies about the prognostic utility of cfDNA in patients with BC. The clinical characteristics, relapse/disease-free survival (RFS/DFS), and overall survival (OS) data were extracted from the eligible studies. The hazard ratios (HR) and 95% confidence intervals (CI) were calculated and pooled with a fixed-effects model using the Stata12.0 software. Subgroup and sensitivity analyses were also performed.Results:This meta-analysis included a total of 10 eligible studies and 1127 patients with BC. The pooled HR with 95% CI showed strong associations between cfDNA and OS (HR = 2.41, 95% CI, 1.83–3.16) along with DFS/RFS (HR = 2.73, 95% CI, 2.04–3.67) in patients with BC. Although publication bias was found in the studies regarding RFS/DFS, further trim and fill analysis revealed that the adjusted HR would be 2.53 (95% CI, 1.83–3.51), which is close to the original HR. Subgroup analyses confirmed the role of cfDNA as a strong prognostic marker in patients with BC, regardless of cfDNA analysis, sampling time, sample source, detection method, tumor stage, sample size, or area.Conclusions:Our meta-analysis indicates that cfDNA is a strong predictive and prognostic marker in patients with BC.
Background: Gene therapy is considered a novel way to treat osteosarcoma, and microRNAs are potential therapeutic targets for osteosarcoma. miR-214 has been found to promote osteosarcoma aggression and metastasis. Graphene oxide (GO) is widely used for gene delivery for the distinct physiochemical properties and minimal cytotoxicity. Methods: Polyethyleneimine (PEI)-functionalized GO complex was well-prepared and loaded with miR-214 inhibitor at different concentrations. The load efficacy was tested by gel retardation assay and the cy3-labeled fluorescence of cellular uptake. The experiments of wound healing, immunofluorescence staining, Western blot, qRT-PCR and immunohistochemical staining were performed to measure the inhibitory effect of the miR-214 inhibitor systematically released from the complexes against MG63, U2OS cells and xenograft tumors. Results: The systematic mechanistic elucidation of the efficient delivery of the miR-214 inhibitor by GO-PEI indicated that the inhibition of cellular miR-214 caused a decrease in osteosarcoma cell invasion and migration and an increase in apoptosis by targeting phosphatase and tensin homolog (PTEN). The synergistic combination of the GO-PEI-miR-214 inhibitor and CDDP chemotherapy showed significant cell death. In a xenograft mouse model, the GO-PEI-miR-214 inhibitor significantly inhibited tumor volume growth. Conclusion: This study indicates the potential of functionalized GO-PEI as a vehicle for miRNA inhibitor delivery to treat osteosarcoma with low toxicity and miR-214 can be a good target for osteosarcoma therapy.
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