Regional healthcare platforms collect clinical data from hospitals in specific areas for the purpose of healthcare management. It is a common requirement to reuse the data for clinical research. However, we have to face challenges like the inconsistence of terminology in electronic health records (EHR) and the complexities in data quality and data formats in regional healthcare platform. In this paper, we propose methodology and process on constructing large scale cohorts which forms the basis of causality and comparative effectiveness relationship in epidemiology. We firstly constructed a Chinese terminology knowledge graph to deal with the diversity of vocabularies on regional platform. Secondly, we built special disease case repositories (i.e., heart failure repository) that utilize the graph to search the related patients and to normalize the data. Based on the requirements of the clinical research which aimed to explore the effectiveness of taking statin on 180-days readmission in patients with heart failure, we built a large-scale retrospective cohort with 29647 cases of heart failure patients from the heart failure repository. After the propensity score matching, the study group (n=6346) and the control group (n=6346) with parallel clinical characteristics were acquired. Logistic regression analysis showed that taking statins had a negative correlation with 180-days readmission in heart failure patients. This paper presents the workflow and application example of big data mining based on regional EHR data. 相似文献
NIMA Related Kinase 6 (Nek6) is a protein kinase involved in various cellular processes, including cell cycle regulation, apopotosis, senescence, telomere maintainance and chemoresistance. In the present study, we investigated the role of Nek6 in breast tumorigenesis and the prognostic merit of Nek6 expression in breast cancer. Immunohistochemistry and Western blot analyses was conducted to determine the expression profile of Nek6 in 133 breast cancer specimens. Nek6 was overexpressed in a majority of breast cancer specimens, compared with the adjacent non-tumorous tissues. Furthermore, we revealed that high expression of Nek6 was associated with histologic grade, tumor size and TNM stage in breast cancer. Liner regression analysis showed a significant association between the levels of Nek6 and Ki-67. Cox regression analysis indicated that Nek6 expression was an independent prognostic predictor for breast cancer. Moreover, intracellular level of Nek6 was remarkably increased following the release from serum starvation in MCF-7 cells. EdU incorporation assay indicated that depletion of Nek6 remarkably impaired the proliferation of MCF-7 cells. Finally, spheroid formation assay revealed that interference of Nek6 led to diminished oncospheroid-forming capacity of breast cancer cells. In conclusion, our results imply that Nek6 plays a facilitating role in breast cancer cell proliferation and may serve as a promising therapeutic target for breast cancer. 相似文献