With the development of hospital information construction,the focus has gradually changed from functions of the information system to data utilization.The utilization of medical data has great significance in health management,disease analysis,summary of treatment experience,and development of new technologies.By data mining technology,the paper extracts data related to the author's hospital,starts from intelligent diagnosis and simulates the establishment of the knowledge base for hospital clinical diagnosis.Upon verification,the relevance judged by the system is basically consistent with the clinical practice.Thus,it proposes the possibility to extend the application to hospital clinical pathways.

Objective To investigate the relationship of gene polymorphisms of angiotensin eonvertion enzyme (ACE), aldosterone synthase (CYP11B2)and α-adducin with subclinical renal lesion. Methods I/D polymorphism of ACE gene, -344T/C polymorphism of CYP11B2 gene and 460G/T polymorphism of α-adduein gene were detected by polymerase chain reaction (PCR) and restrictive fragment length polymorphism(RFLP) in 604 normotensive subjects and 1081 primary hypertensive patients whose creatinine (Cr) were less than 2mg/L. The primary hypertensive and normotensive subjects were divided respectively into normal group (Ccr≥60ml/min) and subclinical renal lesion (Ccr＜60 ml/min) group, according to creatinine clearance rate (Ccr) calculated by Cockcroft-Gault equation. Results ANOVA, contingency X2 and partition of chi-square were selected. The frequencies of different genotypes of ACE, CYP11B2, and α-adducin were in agreement with Hardy-Weinberg equilibrium in our study. Normal renal function group (A group, n=512) and subclinical renal lesion group (B group, n=92) in normotensive subjects, and normal renal function group (C group, n=828) and subclinical renal lesion group (D group, n=252) in hypertensive patients were compared. The patients in B and D groups were older than those in A and C groups (P<0.01). But there were no significant differences in the age between B and D groups, and between A and C groups. The frequency of ACE-DD genotype in D group was the highest (22.6%) among four groups and the frequency of α-adducin-TT genotype in A group was the lowest (13.3%) among four groups (all P<0.01). The differences of genotype frequencies of ACE and α-adducin genes among other three groups were not significant. No significant difference was found in frequencies of genotypes of CYP11B2 among four groups. Conclusions Subclinical renal lesion is increased with the aging. ACE-DD genotype is related with hypertension and subclinical renal lesion, while α-adducin-TT genotype is related with hypertension and subclinical renal lesion. Association between the genotypes of CYP11B2 and subclinical renal lesion is not found.

Abstract OBJECTIVE To explore the intervention mechanism of Guizhi Fuling pills on breast cancer based on multi-data platform and bioinformation technology, and to verify the analysis results by cell test. METHODS The data set related to breast cancer was downloaded from GEO database to analyze the differential genes of breast cancer. The main active components and target genes of Guizhi Fuling pills were screened from TCMSP database. The key target genes of Guizhi Fuling pills in the treatment of breast cancer were mapped by the two groups of target genes. TCGA database was used to analyze the expression of key target genes in breast cancer. Through TIMER, CPTAC Data Portal, and Kaplan-Meier plotter, TISIDB, SangerBox and other data platforms, the relationships of the key genes expression and immune micro-environment, immune infiltration level, genomic heterogeneity, immune subtypes, molecular subtype, and poor prognosis were analyzed in breast cancer. KEGG pathway enrichment of key genes was performed searching for possible signaling pathways by Metascape analysis platform. Finally, CCK-8 assay, cell scratch assay, Transwell chamber assay and Western blotting technique were used to verify the results in vitro. RESULTS There were 42 active components and 185 targets in Guizhi Fuling pills, and 14 key targets related to the treatment of breast cancer were mapped with GEO database. Six key target genes for the treatment of breast cancer were obtained by comparison with breast cancer differential genes in TCGA. The expression of these 6 key genes was strongly correlated with the levels of 6 immune cells, 3 immune microenvironment scores, immune subtypes and molecular subtypes in breast cancer(P<0.05), also showed consistency in the correlation of genomic heterogeneity, and was closely associated with poor prognosis(P<0.05). KEGG enrichment analysis showed that these 6 genes were mainly enriched in PI3K/Akt signaling pathways. Cell test showed that Guizhi Fuling pills could significantly inhibit the proliferation, migration and invasion of HCC1937 cells, and also reduce the relative expression of p-Akt/Akt and p-PI3K/PI3K proteins in HCC1937 cells in a dose-dependent manner. CONCLUSION Guizhi Fuling pills may interfere with breast cancer by blocking PI3K/Akt signaling pathway and regulating the tumor immune microenvironment.

Objective:To investigate the interactive effect of mismatch repair (MMR) protein status and adverse clinicopathological features on prognosis of stage Ⅰ-Ⅲ colon cancer.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 650 patients with colon cancer of stage Ⅰ-Ⅲ who were admitted to 7 hospitals in China from January 2016 to December 2017 were collected. There were 963 males and 687 females, aged 62(53,71)years. Patients were classified as 230 cases of MMR deficiency (dMMR) and 1 420 cases of MMR proficiency (pMMR) based on their MMR protein status. Observation indicators: (1) comparison of clinicopathological characteristics between patients of different MMR protein status; (2) analysis of factors affecting the survival outcomes of patients of dMMR; (3) analysis of factors affecting the survival outcomes of patients of pMMR; (4) interaction analysis of MMR and adverse clinicopathological features on survival outcomes. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the Mann-Whitney U test. The random forest interpolation method was used for missing values in data interpolation. Univariate analysis was conducted using the COX proportional risk regression model, and multivariate analysis was conducted using the COX stepwise regression with forward method. The coefficient of multiplication interaction effect was obtained using the interaction term coefficient of COX proportional risk regression model. Evaluation of additive interaction effects was conducted using the relative excess risk due to interaction ( RERI). Results:(1) Comparison of clinicopathological characteristics between patients of different MMR protein status. There were significant differences in age, T staging, the number of lymph node harvest, the number of lymph node harvest <12, high grade tumor between patients of dMMR and pMMR ( P<0.05). (2) Analysis of factors affecting the survival outcomes of patients of dMMR. Results of multivariate analysis showed that T staging, N staging, the number of lymph node harvest <12 were independent factors affecting the disease-free survival (DFS) of colon cancer patients of dMMR ( hazard ratio=3.548, 2.589, 6.702, 95% confidence interval as 1.460-8.620, 1.064-6.301, 1.886-23.813, P<0.05). Age and N staging were independent factors affecting the overall survival (OS) of colon cancer patients of dMMR ( hazard ratio=1.073, 10.684, 95% confidence interval as 1.021-1.126, 2.311-49.404, P<0.05). (3) Analysis of factors affecting the survival outcomes of patients of pMMR. Results of multivariate analysis showed that age, T staging, N staging, vascular tumor thrombus were independent factors affecting the DFS of colon cancer patients of pMMR ( hazard ratio=1.018, 2.214, 2.598, 1.549, 95% confidence interval as 1.006-1.030, 1.618-3.030, 1.921-3.513, 1.118-2.147, P<0.05). Age, T staging, N staging, high grade tumor were independent factors affecting the OS of colon cancer patients of pMMR ( hazard ratio=1.036, 2.080, 2.591, 1.615, 95% confidence interval as 1.020-1.052, 1.407-3.075, 1.791-3.748, 1.114-2.341, P<0.05). (4) Interaction analysis of MMR and adverse clinicopathological features on survival outcomes. Results of interaction analysis showed that the multiplication interaction effect between the number of lymph node harvest <12 and MMR protein status was significant on DFS of colon cancer patients ( hazard ratio=3.923, 95% confidence interval as 1.057-14.555, P<0.05). The additive interaction effects between age and MMR protein status, between high grade tumor and MMR protein status were significant on OS of colon cancer patients ( RERI=-0.033, -1.304, 95% confidence interval as -0.049 to -0.018, -2.462 to -0.146). Conclusions:There is an interaction between the MMR protein status and the adverse clinicopathological features (the number of lymph node harvest <12, high grade tumor) on prognosis of colon cancer patients of stage Ⅰ-Ⅲ. In patients of dMMR, the number of lymph node harvest <12 has a stronger predictive effect on poor prognosis. In patients of pMMR, the high grade tumor has a stronger predictive effect on poor prognosis.

OBJECTIVETo summarize the treatment status of gastric gastrointestinal stromal tumor (GIST) in Shandong province,by analyzing the clinicopathological features and prognostic factors.

METHODSClinicopathological and follow-up data of 1 165 patients with gastric GIST between January 2000 and December 2013 from 23 tertiary referral hospitals in Shandong Province were collected to establish a database. The risk stratification of all cases was performed according to the National Institutes of Health(NIH) criteria proposed in 2008. Kaplan-Meier method was used to calculate the survival rate. Log-rank test and Cox regression model were used for univariate and multivariate prognostic analyses.

RESULTSAmong 1 165 cases of gastric GIST, 557 were male and 608 were female. The median age of onset was 60 (range 15-89) years. Primary tumors were located in the gastric fundus and cardia in 623 cases(53.5%), gastric body in 346 cases(29.7%), gastric antrum in 196 cases(16.8%). All the cases underwent resection of tumors, including endoscopic resection (n=106), local resection (n=589), subtotal gastrectomy(n=399), and total gastrectomy(n=72). Based on the NIH risk stratification, there were 256 cases (22.0%) at very low risk, 435 (37.3%) at low risk, 251 cases (21.5%) at intermediate risk, and 223 cases (19.1%) at high risk. A total of 1 116 cases(95.8%) were followed up and the median follow-up period was 40 (range, 1-60) months. During the period, 337 patients relapsed and the median time to recurrence was 34 (range 1-60) months. The 1-, 3-, and 5-year survival rates were 98.6%, 86.1% and 73.4%, respectively. The 5-year survival rates of patients at very low, low, intermediate, and high risk were 93.1%, 85.8%, 63.0% and 42.3% respectively, with a statistically significant difference (P=0.000). Multivariate analysis showed that primary tumor site (RR=0.580, 95%CI:0.402-0.835), tumor size (RR=0.450, 95%CI:0.266-0.760), intraoperative tumor rupture(RR=0.557, 95%CI:0.336-0.924), risk classification (RR=0.309, 95%CI:0.164-0.580) and the use of imatinib after surgery (RR=1.993, 95%CI:1.350-2.922) were independent prognostic factors.

CONCLUSIONSThe choice of surgical procedure for gastric GIST patients should be based on tumor size. All the routine procedures including endoscopic resection, local excision, subtotal gastrectomy and total gastrectomy can obtain satisfactory curative outcomes. NIH classification has a high value for the prediction of prognosis. Primary tumor site, tumor size, intraoperative tumor rupture, risk stratification and postoperative use of imatinib are independent prognostic factors in gastric GIST patients.