Objective To explore the value of modified early warning score (MEWS) in clinical status assessment and outcome prediction of heat stroke patients.Methods The clinical data of 46 heat stroke patients were collected.According to the severity,the subjects were divided into mild group and severe group;and alternatively,according to the treatment outcomes,the subjects were also divided into survival group and death group.The MEWS at admission was employed for comparison of the differences in severity and outcome of heat stroke between groups.Receiver operating characteristic curve (ROC curve) was used to evaluate the accuracy of MEWS used at admission in assessing severity and predicting outcome of heat stroke patients.Results The results of MEWS calculated at admission in mild and severe heat stroke patients showed significant difference between them (3.00 ± 1.70 vs.6.85 ± 3.03,P =0.004).The area under the ROC curve (AUC) of MEWS got at admission for the diagnosis of severe heat stroke was 0.864 ± 0.056.The results of MEWS obtained at admission in survived and died heat stroke patients were 5.13 ± 2.96 and 9.25 ± 2.05,respectively (P =0.037).The AUC of MEWS used at admission for predicting the death of heat stroke patients was 0.867 ± 0.061.Conclusions The initial MEWS is useful to accurately assess and predict the outcome of heat stroke patients.Heat stroke patients with higher level of MEWS used at admission than 4.5 could be diagnosed as severe heat stroke,and whereas the value of MEWS got at admission higher than 7.5 could be the indicator of the poor prognosis.

Objective To study the expression of ASPP2 and P16INK4a in esophageal carcinoma and their relationship to the apoptosis and related clinicopathological characteristics. Methods Immunohistochemistry S-P method was used to examine the expression of ASPP2 and P16INK4a in the pathological specimens of 112 esophageal carcinoma cases and 31 cases of normal esophageal mucosa. TUNEL was also employed to detect the rate of apopto-sis in 37 esophageal carcinoma cases and 12 cases of normal esophageal mucosa. Results The difference between the expression of ASPP2 and P16INK4a in esophageal carcinoma and normal esophageal mucosa was statistically signif-icant(P < 0.05). Their abnormal expressions were all related to lymph node metastasis and differentiation degree (P < 0.05). The difference between the positive rate of apoptosis in esophageal carcinoma and normal esophageal mucosa was statistically significant(P < 0.05). The abnormal expression of ASPP2 and P16INK4a was all related to apoptosis in esophageal carcinoma. Conclusions The different expression of ASPP2 and P16INK4a may cooperatively play a role in differentiation degree ,lymph nodes metastasis and apoptosis in esophageal carcinoma. Co-examina-tion of them may be useful for the diagnosis and guiding the clinical treatment in esophageal carcinoma.

Objective:To prepare a dual targeting nanobubble both for HER2 target and cancer cell target, and compare the targeting ability with single targeting nanobubble either with HER2 targeting or cancer cell targeting ability in vitro.Methods:Nanobubbles(NBs) were prepared using the modified thin film hydration method and then connected with IR783 directly (NBs-IR783), HER2 antibody Affibody by avidin-biotin method (NBs-Affibody), or both of them (IR783-NBs-Affibody). The size distribution, stability, and biosafety of these contrast agents were observed. Flow cytometry and immunofluorescence were applied to compare the binding rate of these NBs against HER2 positive breast cancer cell in vitro.Results:The average size of NBs-Affibody, NBs-IR783 and IR783-NBs-Affibody was (538.4±95.8)nm, (551.8±114.8)nm, and (482.7±54.3)nm, respectively. The binding rate for HER2 positive cell was 26.6%, 97.6%, 84.5%, while for HER2 negative cell was 5.4%, 99.9% and 99.3%, respectively. The results of dual-labeled flow cytometry showed that the binding rate of IR783-NBs-Affibody mediated by IR783 to HER2 positive breast cancer cells were 79.5% and Affibody mediated HER2 targeting binding rate were 19.4%. However, NBs-IR783 only showed IR783-mediated tumor targeted binding without HER2 targeting ability with binding rate of 2.3%.Conclusions:The prepared IR783-NBs-Affibody has the dual targeting ability for HER2 positive breast cancer cell, which is superior to the single targeting NBs (NBs-Affibody and NBs-IR783). IR783-NBs-Affibody is optimal to meet the imaging requirements of tumor heterogeneity.

Objective To analyze the literatures about artificial intelligence in cancer research in Web of Science (WOS) core collection database in 2010-2019 and summarize research hot spots and development trends. Methods Through bibliometrics methods and CiteSpace information visualization software, we applied the visual analysis of relevant literature on artificial intelligence in the field of cancer research retrieved from the Web of Science core collection database from 2010 to 2019. Results The number of published articles about artificial intelligence in the field of cancer research had been increasing year by year. The United States ranked first in the number of published articles in this field, the number of citations and cooperation capabilities. Although the number of published articles in China ranked the second, the number of citations was low. The hot spots of artificial intelligence in cancer research were mainly breast cancer and lung cancer. Machine learning, neural network and other methods were used to build models, which were used in basic cancer research, clinical diagnosis, treatment and prognosis prediction. The research frontiers were the methodological research of artificial intelligence, the research on the occurrence and classification of cancer and the research of protein in this field. Conclusion It will effectively promote the development of artificial intelligence in cancer research in China by learning the hot spots and cutting-edge technologies of international research, focusing on international cooperation and cooperation among national institutions and strengthening cross-disciplinary research.