Background: Gastric cancer is one of the most important malignancies with poor prognosis. Ferroptosis and cuproptosis are newly discovered metal-dependent types of programmed cell death, which may directly affect the outcome of gastric cancer. Long noncoding RNAs (lncRNAs) can affect the prognosis of cancer with stable structures, which could be potential prognostic prediction factors for gastric cancer.Methods: Differentially expressed metal-dependent programmed cell death (PCD)-related lncRNAs were identified with DESeq2 and Pearson’s correlation analysis. Through GO and KEGG analyses and GSEA , we identified the potential effects of metal-dependent PCD-related lncRNAs on prognosis. Using Cox regression analysis with the LASSO method, we constructed a 12-lncRNA prognostic signature model. Also, we evaluated the prognostic efficiency with Kaplan–Meier (K-M) survival curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) methods. The sensitivities for antitumor drugs were then predicted with the pRRophetic method. Also, we discuss Chinese patent medicines and plant extracts that could induce metal-dependent programmed cell death.Results: We constructed a metal-dependent PCD-related lncRNA-gene co-expression network. Also, a metal-dependent PCD-related gastric cancer prognostic signature model including 12 lncRNAs was constructed. The K-M survival curve revealed a poor prognosis in the high-risk group. ROC curve analysis shows that the AUC of our model is 0.766, which is better than that of other published models. Moreover, the half-maximum inhibitory concentration (IC50) for dasatinib, lapatinib, sunitinib, cytarabine, saracatinib, and vinorelbine was much lower among the high-risk group.Conclusion: Our 12 metal-dependent PCD-related lncRNA prognostic signature model may improve the OS prediction for gastric cancer. The antitumor drug sensitivity analysis results may also be helpful for individualized chemotherapy regimen design.

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DDX46, a member of DEAD-box (DDX) proteins, is associated with various cancers, while its involvement in the pathogenesis of breast cancer hasn't been reported so far. The study demonstrated the overexpression of DDX46 in human breast cancer cells and tissue samples, and correlated with high histological grade and lymph node metastasis. Downregulation of DDX46 in the breast cancer cell lines inhibited their proliferation and invasiveness in vitro. Furthermore, the growth of MDA-MB-231 xenografts was suppressed in nude mice by DDX46 knockingdown. Taken together, our findings suggest that DDX46 is an oncogenic factor in human breast cancer, and a potential therapeutic target.

Background: Inflammatory cytokines are related to the occurrence and development of hepatocellular carcinoma (HCC). Objectives: Interleukin 6 (IL-6) is associated with the occurrence and prognosis of HCC, while Dicer inhibits HCC; accordingly, we checked whether Dicer regulates HCC by modulating the IL-6 pathway. Methods: The HCC cells of SMMC-7721 transfected with Dicer overexpression (pCMV-Dicer) and control (pCMV-NC) lentivirus were divided into 3 groups: The SMMC-7721, pCMV-NC, and pCMV-Dicer groups. The assays of cell proliferation, migration, and invasion were performed using cell counting, wound scratch, and transwell chamber assay. The IL-6 level was measured by flow cytometry bead-based immunoassays. All statistical analyses were analyzed using SPSS version 21 by the student t test and 1-way analysis of variance (ANOVA). Results: Dicer inhibited the secretion of IL-6 from HCC cells, as well as the growth of HCC related to proliferation, migration, and invasion. IL-6 incubation with pCMV-NC cells increased proliferation (from 24 hours to 72 hours; P < 0.05), migration (P = 0.008), and invasion (P = 0.85). In addition, IL-6 could reverse the inhibitory effect of Dicer on HCC cells related to proliferation (P < 0.01) and migration (P = 0.006) when incubated with pCMV-Dicer cells, whereas an IL-6 blocker of tocilizumab could enhance the Dicer-induced inhibition related to proliferation (P < 0.05), migration (P = 0.007), and invasion (P = 0.001) when incubated with pCMV-Dicer cells. Furthermore, Dicer could increase the inhibition efficiency of apatinib on HCC treatment by their cooperation in IL-6 downregulation. Conclusions: Dicer could inhibit HCC by the IL-6 pathway, which would be a potential target for HCC treatment. The Dicer inducer might be an enhancer of apatinib for HCC treatment.

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