Immunotherapy emerged as a paradigm shift in cancer treatments, which can effectively inhibit cancer progression by activating the immune system. Remarkable clinical outcomes have been achieved through recent advances in cancer immunotherapy, including checkpoint blockades, adoptive cellular therapy, cancer vaccine, and tumor microenvironment modulation. However, extending the application of immunotherapy in cancer patients has been limited by the low response rate and side effects such as autoimmune toxicities. With great progress being made in nanotechnology, nanomedicine has been exploited to overcome biological barriers for drug delivery. Given the spatiotemporal control, light-responsive nanomedicine is of great interest in designing precise modality for cancer immunotherapy. Herein, we summarized current research utilizing light-responsive nanoplatforms to enhance checkpoint blockade immunotherapy, facilitate targeted delivery of cancer vaccines, activate immune cell functions, and modulate tumor microenvironment. The clinical translation potential of those designs is highlighted and challenges for the next breakthrough in cancer immunotherapy are discussed.

Objective:To identify the risk factors for preoperative full stomach in the patients undergoing emergency surgery.Methods:American Society of Anesthesiologists physical status Ⅰ-Ⅲ patients of both sexes, aged≥18 yr, with body mass index ≥15 kg/m 2, scheduled for elective emergency surgery, were included.The operation bed was adjusted to 30° head-high and feet-low position.Ultrasound images of gastric antrum were observed in the right decubitus position, and the ultrasonic images were evaluated qualitatively and quantitatively.The ultrasonic image was qualitatively assessed as having empty antrum, liquid or solid.Three images were obtained during the diastolic period of gastric antrum when quantitative assessment was performed.The longest diameter (D1) and the widest diameter (D2) of the images were measured three times and averaged to calculate the cross-sectional area of gastric antrum [CSA=(D1×D2×π)/4]. The gastric volume was calculated [GV=27.0+ (14.6×CSA)-(1.28×age)]. When the result was<0, the gastric volume was 0.GV/body weight was calculated, and GV/body ≤1.5 ml/kg was considered as empty stomach.When gastric content was solid or GV/body weight>1.5 ml/kg, it was considered as full stomach.Patients were divided into 2 groups according to whether they presented with a full stomach: empty stomach group (group E) and full stomach group (group F). The patients′ fasting time, coexisting diseases and types of operation were recorded.Multivariate logistic regression analysis was performed on the indicators with statistically significant differences between groups to identify the risk factors for preoperative full stomach in the patients undergoing emergency surgery. Results:One hundred and seventy-nine cases were finally included, with 121 cases in group E and 58 cases in group F. Compared with group E, the fasting time was <6 h, and the incidence of coexisting diabetes was increased in group F ( P<0.05). Coexisting diabetes mellitus was an independent risk factor for preoperative full stomach in the patients undergoing emergency surgery ( P<0.05), and OR (95% confidence interval) was 11.968 (2.392-59.870). Conclusion:Coexisting diabetes mellitus is an independent risk factor for preoperative full stomach in the patients undergoing emergency surgery.

Recent studies showed that certain drugs can change regulatory reaction parameters in gene regulatory networks (GRNs) and therefore restore pathological cells to a normal state. A state control framework for regulating biological networks has been built based on attractors and bifurcation theory to analyze this phenomenon. However, the control signal is self-developed in this framework, of which the parameter perturbation method can only calculate the state transition time of cells with single control variable. Therefore, an optimal control method based on the dynamic optimization algorithms is proposed for complex biological networks modeled by nonlinear ordinary differential equations (ODEs). In this approach, dynamic optimization problems are constructed based on basic characteristics of the biological networks. Furthermore, using an example of a simple low-dimensional three-node GRN and a complex high-dimensional cancer GRN, MATLAB is utilized to calculate optimal control strategies with either single or multiple control variables. This method aims to achieve accurate and rapid state regulation for biological networks, which can provide a reference for experimental researches and medical treatment.

Objective To evaluate the risk factors and sonographic findings of pregnancies complicated by placenta increta or placenta percreta. Methods Totally, 2219 cases were retrospectively analyzed from 20 tertiary hospitals in China from January 2011 to December 2015. The data were collected based on the original case records. All cases were divided into two groups, the placenta increta (PI) group (79.1％, 1755/2219) and the placenta percreta (PP) group (20.9％, 464/2219), according to the degree of placental implantation. The risk factors and sonographic findings of placenta increta or percreta were analyzed by uni-factor and logistic regression statistic methods. Results The risk factors associated with the degree of placental implantation were age, gravida, previous abortion or miscarriage, previous cesarean sections, and placenta previa (all P<0.05), especially, previous cesarean sections (χ2=157.961) and placenta previa (χ2=91.759). Sonographic findings could be used to predict the degree of placental invasion especially the boundaries between placenta and uterine serosa, the boundary between placenta and myometrium, the disruption of the placental-uterine wall interface and loss of the normal retroplacental hypoechoic zone(all P<0.01). Conclusions Previous cesarean sections and placenta previa are the main independent risk factors associated with the degree of placenta implantation. Ultrasound could be used to make a prenatal suggestive diagnosis of placenta accreta spectrum disorders.

Objective To optimize the extraction method for assaying Jinyou Tankeqing Tablets(JTT).Methods With the total flavonoids content as the index,Orthogonal Experimental Design was used to optimize the extraction condition for assaying JTT.Results The optimized ultrasonic extraction method was as follows: adding 0.2 mL?mg-1 powder to 95 % ethanol,extracting for 30 min;the optimized Sohlex extraction method was: adding 1.2 mL?mg-1 powder to 95 % ethanol,extracting for 2 h,the former method being better than the later.Conclusion The optimized extraction method for assaying JTT is adding 0.2 mL?mg-1 powder to 95 % ethanol and extracting for 30 min with ultrasonic wave.

Objective To study the quality standard of Jinyou Tankeqing Tablets (JTT). Methods Total flavonoids in JTT were identified by TLC. Naringin content in JTT was determined by HPLC. Results The relevant spots of total flavonoids in JTT can be identified by TLC. The content of naringin in JTT can be determined by HPLC. The linearity of naringin was good in the range of 2～20 ?g (r= 0.999 9). The average recovery of naringin was 101.29 %with RSD = 2.58 %. Conclusion The established quality standard is simple,feasible and repeatable,and can be used for the quality supervisory of JTT.