Objective To explore the relationship between Epstein-Barr virus (EBV) infection with serum human kissin-1 (KISS-1) and matrix metalloproteinase 2 (MMP2) levels and prognosis in patients with colon cancer. Methods A total of 86 colon cancer patients who were hospitalized in our hospital from April 2015 to April 2016 were selected as the colon cancer group; in the same period, 84 cases of physical examination person in our hospital were selected as the control group. Real-time fluorescent quantitative PCR (qRT-PCR) was used to test colon cancer patients for EBV DNA, and divided the patients into EBV DNA negative group and EBV DNA positive group according to the test results. Enzyme-linked immunosorbent (ELISA) method was used to detect serum KISS-1 and MMP2 levels. Pearson method was used to analyze the correlation between serum KISS-1 and MMP2 levels in patients with colon cancer infected with EBV. The survival curve was drawn by Kaplan-Meier method, and the relationship between EBV infection and prognosis of colon cancer patients was analyzed by log-rank test. Multivariate Cox regression analysis were used to analyze the factors affecting the prognosis of colon cancer patients. Results Compared with the control group, the positive rate of EBV DNA in the colon cancer group was higher (χ2=21.854, P<0.001). The EBV DNA positive rate of patients with lymph node metastasis, TNM stage Ⅲ–Ⅳ, tumor low differentiation and tumor infiltration T3–T4 was higher than those without lymph node metastasis, TNM stage Ⅰ–Ⅱ, tumor high/medium differentiation and tumor infiltration T1–T2 (P<0.05). Compared with the EBV DNA negative group, the serum KISS-1 level of the EBV DNA positive group decreased, and the MMP2 level increased (P<0.001). There was a negative correlation between serum KISS-1 and MMP2 levels in colon cancer patients with EBV infection (r=–0.510, P<0.001). The 5-year survival rates of colon cancer patients in the EBV DNA-negative group and the EBV DNA-positive group were 52.94% (27/51) and 14.29% (5/35), respectively, the difference between the two groups was statistically significant (χ2=13.274, P<0.001). EBV infection, MMP2 high expression, and lymph node metastasis were independent risk factors affecting the prognosis of colon cancer patients (P<0.05), and KISS-1 low expression was a protective factor affecting the prognosis of colon cancer patients (P<0.05). Conclusions EBV infection is closely related to the progression and prognosis of colon cancer. The down-regulation of KISS-1 and the up-regulation of MMP2 may be related to EBV infection.
ObjectivesTo analyze the balance of medical human resource allocation in Chengdu and to discuss the impact of human resource allocation structure on the hospital’s medical service capabilities, so as to provide a theoretical basis for the hospital to optimize the talent team structure.MethodsThe Moran’s index and Gini coefficient were used to evaluate the spatial aggregation and grade distribution difference of human resources allocation, respectively. The case mix index (CMI), the length of hospital stay, and the difficulty of surgery were used as outcome variables, and a multiple regression analysis model was established to explore the impact of human resource indicators on the hospital’s medical service capabilities.ResultsThe distribution of doctors showed an obvious spatial aggregation in Chengdu, and there was a positive spatial correlation (Moran’s Idoctor=0.290); the distribution of nurses had no obvious spatial aggregation (Moran’s Inurse=0.102). Under different medical service capacity segments, the Gini coefficient of doctors was 0.518, and the Gini coefficient of nurses was 0.576, both exceeding 0.5, indicating that the distribution of medical human resources in different levels of hospitals was considerably different. The regression results showed that the expansion of the quantity of senior title doctors and the proportion of medical care both could improve the hospital’s CMI. The increase in the quantity of doctors with senior titles also had a certain impact on improving the hospital’s surgical capabilities. The expansion of the proportion of medical care could lead to a slight increase in the length of patients' hospital stay.ConclusionsOptimizing the allocation structure of medical human resources in different regions and hospitals with different levels is an important task in the construction of a hierarchical diagnosis and treatment system. It is necessary to further integrate medical human resources throughout the whole city and strengthen personnel training and team building in primary health institutions. Hospitals at different levels should implement their own development positioning and further optimize their human resource allocation structure according to development needs. Tertiary hospitals should pay more attention to the cultivation of senior professional doctors, optimize the proportion of medical care, and improve the hospital’s medical service capabilities. The primary health institutions should pay attention to the comprehensive construction of medical personnel, and strengthen the development of the team of general practitioners, so as to achieve a comprehensive improvement of the city’s medical service capabilities.