This study aimed to investigate the effect and underlying mechanism of lncRNA AWPPH in bladder cancer (BC). A total of 20 Ta-T1 stage BC tissues, 20 T2-T4 stage BC tissues, and 20 normal bladder tissues, as well as human bladder epithelial cell line SV-HUC-1, human BC cell lines RT4, and T24 were obtained to detect the levels of AWPPH, enhancer of zeste homolog 2 (EZH2) and SMAD4 using RT-qPCR or Western blotting. RT4 cells were transfected with pc-AWPPH, pc-EZH2, or pc-control and T24 cells were transfected with si-AWPPH, si-EZH2, si-control, or pc-AWPPH + pc-SMAD4, respectively. Then, cell proliferation, apoptosis, autophagy, and migration, were detected using MTT assay, colony formation assay, Annexin V-FITC/PI method, Western blotting, and Transwell analysis, respectively. The relationship of AWPPH and EZH2 or SMAD4 was evaluated by RNA immunoprecipitation (RIP) assay or Chromatin immunoprecipitation (ChIP) assay. Compared with normal bladder tissues or cells, the levels of AWPPH and EZH2 were overexpressed, while SMAD4 was down-regulated in BC tissues or cells (all P < 0.01). Cell viability, colony number, and migration were significantly increased, while cell apoptosis ratio was reduced in cells with pc-AWPPH compared with cells with pc-control (all P < 0.05), meanwhile, these effects were reversed by the treatment of pc-SMAD4. Then, RIP assay revealed that AWPPH could bind to EZH2 and ChIP assay showed SMAD4 was regulated by EZH2. LncRNA AWPPH can promote cell proliferation, autophagy, and migration, as well as inhibit cell apoptosis in BC by inhibiting SMAD4 via EZH2.

Despite the importance of multi-attribute group decision making (MAGDM) problem in the field of optimal design, it is still a huge challenge to propose a solution due to its uncertainty and fuzziness. The spherical fuzzy sets (SFSs) can express vague and complicated information of MAGDM problem more widely. The Evaluation based on Distance from Average Solution (EDAS) method, as a highly practical decision-making method, has received extensive attention from researchers for solving MAGDM problem. In this paper, a spherical fuzzy EDAS (SF-EDAS) method is proposed to solve the MAGDM problem. Moreover, the entropy method is also introduced to determine objective weights, resulting in a more proper weight information. In addition, a practical example is settled by SF-EDAS method, which proves the excellent efficiency in applications of MAGDM problem. The SF-EDAS method provides an effective method for solving MAGDM problems under SFSs, and EDAS also provides a reference for further promotion of other decision-making environments.

In recent years, the multi-attribute group decision making (MAGDM) problem has received extensive attention and research, and it plays an increasingly important role in our daily life. Fuzzy environment provides a more accurate decision-making environment for decision makers, so the research on MAGDM problem under fuzzy environment sets (SFSs) has become popular. Taxonomy method has become an effective method to solve the problem of MAGDM. It also plays an important role in solving the problem of MAGDM combined with other environments. In this paper, a new method for MAGDM is proposed by combining Taxonomy method with SFSs (SF-Taxonomy). In addition, we use entropy weight method to calculate the objective weight of attributes, so that more objective results can be produced when solving MAGDM problems.