Search

Background Genetic mutations have been reported in many tumors. In this study, we aimed to examine whether ANXA2 mutations occur in breast cancer and to investigate their association with clinicopathological characteristics in patients. Materials and Methods We collected breast cancer and adjacent normal tissue samples from 112 patients, extracted total RNA, and performed PCR-SSCP and bidirectional Sanger sequencing. ANXA2 mutations were identified by NCBI BLAST (blastn and blastx), and their correlation with clinical data were analyzed. Results ANXA2 mutations were detected in breast cancer tissues (missense mutations 38.39%) at a higher incidence than in adjacent normal tissues (missense mutations 8.04%) and mainly located in domain and repeats 1. Moreover, mutations in breast cancer tissues were associated with clinical stages, molecular subtype, ER, PR, and lymph-node metastasis of patients. Within a mean follow-up time of 52.5 months, the 5-year OS of patients with missense mutations was lower than those without. Among those mutations, c.(350AG > GA), c.(375G > A), c.(487T > A) and c.(693G > A) were associated with younger patients. c.(350AG > GA) was related to higher clinical stage and lymph-node metastasis. c.(375G > A) was linked to HER2(-) cases, while c.(693G > A) tended to be TNBC cases. Conclusion ANXA2 missense mutations mainly occurred on domain and repeats 1 in breast cancer, which may be associated with pathogenesis, clinical stage, molecular subtyping, lymph node metastasis and 5-year OS of breast cancer. These mutations may contribute to the early screening, diagnosis, and targeted treatment of breast cancer.

Objective: The purpose of studying Internet of Things (IoT) is to construct the interface network of the space flight training simulator of the space station. Methods: Guided by the problem of the interface system of the space station simulator, based on the IoT technology, the space station simulator interface network, which combines the upper Zigbee network and the secondary CAN bus network, is proposed. Results: The experiment shows that the interface network solves the problems caused by the complex structure, configuration change, and self-service training of the space station simulator. Conclusion: Due to its comprehensive perception, reliable transmission, and intelligent processing, the network is not only suitable for the space station simulator, but also can be applied to other large equipment simulation field.

Breast cancer is one of the major challenges for women's health. However, the role and mechanisms of interleukins (ILs) on the progression of breast cancer are not well illustrated. Our present study revealed that the expressions of IL-6 and IL-8 were significantly increased in oestrogen receptor-negative (ER-) breast cancer cells. Increased expression of IL-6 was observed in 83.9% (26/31) ER- breast cancer tissues as compared with their matched adjacent normal tissues. In vitro studies indicated that IL-6 can significantly promote the migration and invasion of ER- breast cancer cells via increasing the dephosphorylation, nuclear translocation and transcriptional activities of YAP in breast cancer cells. Knockdown of YAP can attenuate IL-6-induced migration and invasion of cancer cells, suggesting that YAP plays an essential role in IL-6-induced malignancy of breast cancer cells. Furthermore, IL-6 treatment also decreased the phosphorylation of LATS1/2. The knockdown of LATS1/2 synergistically suppressed si-IL-6-induced deactivation of YAP. Targeted inhibition of IL-6/YAP can significantly suppress the invasion of ER- breast cancer cells. Collectively, our study revealed that IL-6 can trigger the malignancy of breast cancer cells via activation of YAP signals. Targeted inhibition of IL-6/YAP might be a novel therapeutic approach for the treatment of ER- breast cancer.