SUMSearch and TRIP database are meta search engines for searching clinical evidence. This article introduces major contents and search methods of the SUMSearch and TRIP database, so as to provide quick search resources and technical help for evidence-based practice.
ObjectiveTo detect expression of DTX2 molecule in colorectal cancer (CRC) tissues and investigate its clinical significances.MethodsOncomine and GEPIA databases were used to analyze the expression of DTX2 gene in CRC tissues and normal colorectal tissues, and online data of human protein atlas (HPA) was used to analyze the relationship between DTX2 protein expression and survival prognosis of patients with CRC. The expressions of DTX2 mRNA and protein were detected in the 55 cases of CRC tissues and corresponding paracancerous normal (PN) tissues by using qRT-PCR, Western blot, and immunohistochemistry methods, respectively. The correlations between the expression of DTX2 and the clinicopathologic characteristics were analyzed.Results① The data from Oncomine and GEPIA databases showed that the expression levels of DTX2 mRNA in the CRC tissues were significantly higher than those in the normal colorectal tissues (P<0.05); HPA online data analysis showed that the overall survival of CRC patients with low expression of DTX2 was better than that with high expression of DTX2 (P=0.009 8). ② The results of qRT-PCR and Western blot showed that the expression levels of DTX2 mRNA and protein in the CRC tissues were higher than those in the PN tissues (t=0.722, P<0.001; t=1.314, P<0.001); The results of immunohistochemical staining showed that the positive rate of DTX2 protein expression in the CRC tissues was higher than that in the PN tissues (χ2=0.899, P<0.001). The positive rate of DTX2 protein expression and the expression levels of DTX2 mRNA and protein were related to the depth of tumor invasion, lymph node metastasis, and TNM stage of CRC patients, that was, the deeper depth of tumor invasion, the more lymph node metastasis, and the later TNM stage, the higher positive rate of DTX2 protein expression, the higher expression levels of DTX2 mRNA and protein (P<0.05).ConclusionsDTX2 protein may be a novel biomarker for estimating progression of CRC. However, prognosis evaluation of DTX2 protein on CRC needs further clinical research.
ObjectiveTo investigate the prognostic factors of primary gastric squamous cell carcinoma (SCC) and develop a nomogram for predicting the survival of gastric SCC.MethodsData of 199 cases of primary gastric SCC from 2004 to 2015 were collected in the National Cancer Institute SEER database by SEER Stat 8.3.5 software. X-tile software was used to determine the best cut-off value of the age, SPSS 25.0 software was used to analyze the prognostic factors of gastric SCC and draw a Kaplan-Meier curve, and then the Cox proportional hazard regression model analysis was performed to obtain independent prognostic factors of gastric SCC. We used R studio software to visualize the model and draw a nomogram. C-index was used to evaluate the prediction effect of the nomogram. Bootstrap analyses with 1 000 resamples were applied to complete the internal verification of the nomogram.ResultsAmong the 199 patients, survival rates for 1-, 3-, and 5-year were 40.7%, 22.4%, and 15.4%, respectively. Age (χ2=6.886, P=0.009), primary site (χ2=14.918, P=0.037), race (χ2=7.668, P=0.022), surgery (χ2=16.523, P<0.001), histologic type (χ2=9.372, P=0.009), T stage (χ2=11.639, P=0.009), and M stage (χ2=31.091, P<0.001) had a significant correlation with survival time of patients. The results of the Cox proportional hazard regression model showed that, age [HR=1.831, 95%CI was (1.289, 2.601)], primary site [HR=1.105, 95%CI was (1.019, 1.199)], M stage [HR=2.222, 95%CI was (1.552, 3.179)], and surgery [HR=0.561, 95%CI was (0.377, 0.835)] were independent prognostic factors affecting the survival of gastric SCC. Four independent prognostic factors contributed to constructing a nomogram with a C-index of 0.700.ConclusionIn this research, a reliable predictive model is constructed and drawn into a nomogram, which can be used for clinical reference.
Objective To explore the relationship between the metastatic sites and prognosis in newly diagnosed stage Ⅳ breast cancer. Methods The data of newly diagnosed female patients with stage Ⅳ invasive breast cancer with complete follow-up data from SEER database from 2010 to 2015 were grouped according to different metastatic sites, and the differences of breast cancer-specific survival (BCSS) in different metastatic sites were analyzed by univariate and multivariate Cox. Kaplan-Meier method was used to draw the survival curve, and log-rank test was used to analyze the prognostic factors of BCSS in newly diagnosed stage ⅳ breast cancer. Results A total of 8 407 patients were included in the final analysis. Among them, 5 619 (66.84%) patients were confirmed with bone metastasis only, 1 483 (17.64%) patients with lung metastasis only, 1 096 (13.04%) patients with liver metastasis only, and 209 (2.49%) patients with brain metastasis only. The median follow-up time was 22 months, with 4 180 (49.72%) breast cancer-related deaths and a median BCSS of 39 months in those patients. The location of metastasis in newly diagnosed stage Ⅳ invasive breast cancer was significantly correlated with BCSS (χ2=151.07, P<0.001). Multivariate Cox model analysis showed that the BCSS was worse in patients with liver metastasis [HR=1.34, 95%CI (1.21, 1.49), P<0.001], lung metastasis [HR=1.09, 95%CI (1.04, 1.14), P<0.001] and brain metastases [HR=1.28, 95%CI (1.20, 1.36), P<0.001] than in patients with bone metastases. Further subgroup analysis showed that the BCSS of breast cancer patients with different molecular subtypes and different metastatic sites were also significantly different (P<0.05). Patients with brain and liver metastases in the HR+/HER2– subtype had worse BCSS than those with bone metastases (P<0.001). Patients with brain metastases in the HR+/HER2+ subtype had worse BCSS than those with bone metastases (P=0.001). In HR–/HER2+ subtype, the BCSS of patients with liver metastasis, lung metastasis and brain metastasis were worse than that of patients with bone metastasis (P<0.05). In HR–/HER2– subtype, the BCSS of patients with brain metastasis and liver metastasis were worse than that of patients with bone metastasis (P<0.05) . Conclusion The prognosis of newly diagnosed stage ⅳ breast cancer patients with different metastatic sites is different, and the prognosis of different molecular subtypes and different metastatic sites is also different.
ObjectiveTo summarize the research status of intelligent patient monitoring and risk warning, and provide reference and enlightenment for promoting the construction of intelligent monitoring and management platform of clinical patient risk.MethodThe literatures about patient monitoring and risk warning at home and abroad in recent years were reviewed.ResultsAt present, the research at home and abroad mainly focused on the retrospective construction of the prediction model of severe complications of inpatients by using the electronic medical record database. The clinical decision support system based on real-time vital signs and dynamic electronic medical record data was still in the early development stage, and there was no mature product with high market share.ConclusionsThe construction process of structured electronic medical record system should be further strengthened, and the fully integrated clinical decision support system and artificial intelligence self-learning system should be the key research and development direction in the future, so as to promote the deep integration of big data and artificial intelligence technology with clinical scenes.
Objective To explore the value of surgical treatment in rectal small cell neuroendocrine carcinoma (RSCC). Method The clinical data of patients with pathologically diagnosed as RSCC from 2000 to 2019 were extracted from the Surveillance, Epidemiology and End Results (SEER) database, to explore the effect of surgical treatment on cancer-specific survival (CSS) and overall survival (OS). Results A total of 348 cases were included with the median follow-up of 8 months (IQR: 3–16 months). Of the 101 patients in the operation group, 84 died (83.2%), including 56 tumor-related deaths (55.4%). Of the 247 patients in the non-operation group, 215 died (87.0%), including 131 tumor-related deaths (53.0%). The estimated 1-year OS of the operation group and the non-operation group were 49.6% and 34.4%, respectively, and the estimated 1-year CSS of those were 62.2% and 49.2%, respectively. There were significant differences between the two groups (both P<0.05). Results of multivariate prognostic analysis by Cox proportional hazard model showed that differentiation, SEER stage, receiving operative treatment or not, receiving chemotherapy or not, and receiving radiotherapy or not were independent influencing factors for OS, and SEER stage, receiving operative treatment or not, receiving chemotherapy or not, and receiving radiotherapy or not were independent influencing factors for CSS (all P<0.05). The OS [RR=0.61, 95%CI was (0.45, 0.81), P<0.001] and CSS [RR=0.67, 95%CI was (0.47, 0.95), P=0.025] in RSCC patients were significantly improved by surgical treatment. Conclusion Surgical treatment can improve the OS and CSS in RSCC patients.
ObjectiveTo describe the constructive process of follow-up of colorectal cancer part in the Database from Colorectal Cancer (DACCA) in West China Hospital. MethodThe article was described in words. ResultsThe specific concepts of follow-up of colorectal cancer including end-stage of follow-up, survival status, follow-up strategy, follow-up emphasis, follow-up plan, follow-up record using communication tools, follow-up frequency, annual follow-up times, and single follow-up record of the DACCA in the West China Hospital were defined. Then they were detailed for their definition, label, structure, error correction, and update. ConclusionThrough the detailed description of the details of follow-up of colorectal cancer of DACCA in West China Hospital, it provides the standard and basis for the clinical application of DACCA in the future, and provides reference for other peers who wish to build a colorectal cancer database.
ObjectiveTo unscramble personal data and its tags and structures of Database from Colorectal Cancer (DACCA) in West China Hospital.MethodThe way of words for description was used.ResultsThe definition and setting of 23 items with 18 categories for the personal data from DACCA in West China Hospital was performed. The relevant data label of each item and the structured way needed at the big data application stage were elaborated and the corrective precautions of classification items were described. The three classification items involved privacy attention were described in detailed.ConclusionsBased on description about personal data from DACCA in West China Hospital, it is provided a clinical standard and guide for analyzing of DACCA in future. It also could provide enough experience for construction of colorectal cancer database by staff from same occupation.
Abstract： Objective To construct an Anticoagulation Therapy Database of Chinese Patients after Heart Valve Replacement in accordance with blood coagulation characteristics of Chinese patients， fill the gap of Chinese clinical research in valvular heart diseases， and provide a scientific and objective basic data and information exchange platform. Methods A national multicentre，prospective and cohort clinical research method was applied to establish an anticoagulation therapy database of Chinese patients after heart valve replacement， using the Internet as a platform. A case report form （CRF）， which was in line with the actual situation of Chinese anticoagulation patients after heart valve surgery， was formulated through the discussion of experts from 36 cardiovascular surgery centers in China in the starting meeting of National Science amp; Technology Support Program during the Twelfth Five-year Plan Period.We planned to prospectively include patients receiving warfarin anticoagulation therapy and formal anticoagulation monitoring after heart valve replacement from January 1, 2011 to December 31, 2014. Database was constructed using warehousing technology， which allowed not only data monitoring， query and statistics， but also regular data backup and system updates. Results A network database entitled Anticoagulant Therapy Database of Chinese Patients after Heart Valve Replacement was constructed and linked with the homepage of Chinese Journal of Clinical Thoracic and Cardiovascular Surgery （http：//www. zgxxwkzz. com）， which constituted a national Internet information platform. From 1 January 2011 to 1 December 2012， 8 452 anticoagulation patients after heart valve replacement from 34 level-3A hospitals in China had been registered in the database. Further follow-up of these patients was being carried out in respective hospitals. Conclusion A large multi-center and open database and network information platform has been constructed. The database variables are in line with clinical characteristics of Chinese anticoagulation patients after heart valve replacement， which provide scientific and objective basic data and support for future clinical research and systemic analysis.
ObjectiveTo explore the pathogenesis of tuberculosis and provide new ideas for its early diagnosis and treatment.MethodsGSE54992 gene expression profile was obtained from the gene expression database. Differentially expressed genes (DEGs) were screened using National Center forBiotechnology Information platform, and GO enrichment analysis, pathway analysis, pathway network analysis, gene network analysis, and co-expression analysis were performed to analyze the DEGs.ResultsCompared with the control group, a total of 3 492 genes were differentially expressed in tuberculosis. Among them, 1 686 genes were up-regulated and 1 806 genes were down-regulated. DEGs mainly involved small molecule metabolic processes, signal transduction, immune response, inflammatory response, and innate immune response. Pathway analysis revealed chemokine signaling pathway, tuberculosis, NF-Kappa B signaling pathway, cytokine-cytokine receptor interaction, and so on; gene signal network analysis found that the core genes were AKT3, PLCB1, MAPK8, and NFKB1; co-expression network analysis speculated that the core genes were PYCARD, TNFSF13, PHPT1, COMT, and GSTK1.ConclusionsAKT3, PYCARD, IRG1, CD36 and other genes and their related biological processes may be important participants in the occurrence and development of tuberculosis. Bioinformatics can help us to comprehensively study the mechanism of disease occurrence, which can provide potential targets for the diagnosis and treatment of tuberculosis.