Chemokines have been reported to play crucial roles in tumor progression. Eotaxin-1 (CCL11), a member of the CC chemokine family, is elevated in many types of human cancer. Here, to reveal the molecular mechanisms of eotaxin-1 in prostate cancer cell invasion, the expression of eotaxin-1 receptors [CC chemokine receptor (CCR)2, CCR3 and CCR5] were silenced by small interfering RNA (siRNA). The ERK pathway was inhibited by the specific MEK inhibitor U0126. The role of eotaxin-1 and the CCR3-ERK pathway in prostate cancer cell invasion was assessed by invasion and migration assays. MMP-3 expression was detected by real-time PCR and ELISA assay. The results demonstrated that eotaxin-1 promoted the invasion and migration of DU-145 cells, and increased ERK1/2 activation and MMP-3 expression. Knockdown of CCR3 inhibited the invasion and migration of prostate cancer cells, and attenuated the eotaxin-1-induced ERK1/2 activation and MMP-3 expression. Furthermore, inactivation of the ERK pathway suppressed the eotaxin‑1-promoted invasion and migration, and decreased MMP-3 expression in the prostate cancer cells. Together, the present study suggests that eotaxin-1 increases MMP-3 expression via the CCR3-ERK pathway, thereby promoting prostate cancer cell invasion and migration. Thus, therapies that block eotaxin-1 and CCR3 may be effective interventions for prostate cancer.

No abstract

No abstract

Aiming at the problem of device-to-device (D2D) communication mode selection and resource optimization under the joint resource allocation mode in the 5G communication network, a probabilistic integrated resource allocation strategy and a quasi-convex optimization algorithm based on channel probability statistical characteristics are proposed. This strategy and algorithm guarantee D2D. Communication maximizes total system throughput while maximizing access. The analysis results show that this algorithm can significantly optimize the total throughput of the system and reduce the communication interference between the users, which proves the rationality and efficiency of the communication model. The research results obtained in Muwen can provide a theoretical basis for analyzing more complex D2D communication systems and provide a numerical basis for designing heuristic algorithms.