Tumor tissue is a complex of tumor cells, stromal cells, and extracellular matrix, and they constitute a disordered and aggressive microenvironment, which plays an indispensable role in the occurrence and development of tumors. In breast cancer, cancer-associated fibroblasts (CAF) not only promote the occurrence, proliferation, invasion, metastasis, and drug resistance of tumor, but also participate in events including angiogenesis, lymph angiogenesis, extracellular matrix remodeling, and reconstruction of the microenvironment, which are known to induce cancer. Therefore, a new strategy for tumor therapy is provided by targeting CAF. This article reviews the research progress of CAF in breast cancer.

Objective To evaluate the clinical effects of platelet-rich plasma in treatment of DeepⅡburn wounds. Methods Sixty eight cases of inpatients with Deep Ⅱburns were selected, whose age were from 1 to 65 years and their burn areas were between 5%~62%of total body surface area (TBSA). Deep gradeⅡburn of each sample was divided into two parts. Part A was the treatment group and part B was the control group.The burn wounds in the treatment group were treated with platelet-rich plasma and the counterpart in the control group were treated with SD-Ag. Healing time ,recovering rate and the frequency of dressing changes,frequency of changing the most innerlayer gauze and the rate of wound infection were also analyzed. Finally the laboratory abnormalities and adverse effect were monitored regularly. Results The healing time of the treatment group (16.5±3.1 ) d was shorter than that of the control group (19.5±3.8 ) d. The recovering rate of the treatment group was higher than that of the control group on the 14th and 17th day after treatment. There were statistically sig?nificant differences between these two groups (P<0.05). After two weeks’treatment, the internal and external dressing per?meability into wet gauze layers were 20.6 ± 1.7, which were significantly decreased than that in the control group 23.3 ± 5.9. The frequency of dressing changes was(7.2±1.1)times in treatment group versus(9.2±1.4)times in control group and the frequency of changing the inner most layer gauze was( 2.3±0.6)times in the treatment group versus(5.3±1.3)times in con?trol group. There were 5 inflammation reaction cases in the treatment group, but 13 cases in the control group. However, there was no statistic significance between the two group in the outcomes of bacterial culture, the laboratory abnormalities and the adverse effect. Conclusion Platelet-rich plasma can remarkably shorten the healing time,improve healing rate,re?duce frequency of dressing change and promote wound healing for deepⅡburn wound. PRP is a potential safety reagent in treating deepⅡburn wound.

Objective:To observe the clinical efficacy of neck Gongfa exercise in intervening people at high risk for cervical spondylosis. Methods:A total of 212 participants from 8 companies at high risk for cervical spondylosis were divided into two groups using the random number table method,with 105 participants in the control group receiving health education and 107 participants in the trial group receiving an additional neck Gongfa exercise.After successive 3-month interventions,the two groups were compared in terms of cervical soft tissue tension and neck disability index(NDI)score.The incidence of cervical spondylosis was observed 3 months later. Results:During the process,10 cases dropped out in the trial group,and the control group had 9 dropout cases.After the intervention,the cervical soft tissue tension value and NDI score improved in both groups(P<0.05)and showed significant differences between the two groups(P<0.05).At the 3-month follow-up,the trial group had a lower incidence rate of cervical spondylosis than the control group(P<0.05). Conclusion:For people at high risk for cervical spondylosis,neck Gongfa exercise can effectively improve cervical soft tissue tension and motor dysfunction and lower the incidence of cervical spondylosis in the short run.

Objective To research the effectiveness of deep learning techniques in intelligently diagnosing dental caries and periapical periodontitis and to explore the preliminary application value of deep learning in the diagnosis of oral diseases.Methods A dataset containing 2 298 periapical films,including healthy teeth,dental caries,and peri-apical periodontitis,was used for the study.The dataset was randomly divided into 1 573 training images,233 valida-tion images,and 492 test images.By comparing various neural network models,the MobileNetV3 network model with better performance was selected for dental disease diagnosis,and the model was optimized by tuning the network hyper-parameters.The accuracy,precision,recall,and F1 score were used to evaluate the model's ability to recognize dental caries and periapical periodontitis.Class activation map was used to visualization analyze the performance of the net-work model.Results The algorithm achieved a relatively ideal intelligent diagnostic effect with precision,recall,and accuracy of 99.42%,99.73%,and 99.60%,respectively,and the F1 score was 99.57%for classifying healthy teeth,den-tal caries,and periapical periodontitis.The visualization of the class activation maps also showed that the network model can accurately extract features of dental diseases.Conclusion The tooth lesion detection algorithm based on the Mo-bileNetV3 network model can eliminate interference from image quality and human factors and has high diagnostic accu-racy,which can meet the needs of dental medicine teaching and clinical applications.

Objective:To explore the active components, targets and mechanism of Guizhi Fuling Pills in the treatment of atherosclerosis (AS) based on network pharmacology and molecular docking technology.Methods:The active components and potential target information of Guizhi Fuling Pills in the treatment of AS was obtained using Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), SwissTargetPrediction database and Genecards database. The target protein interaction network was constructed by using STRING database. The DAVID database was used to perform the Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment on potential targets. AutoDockVina and PyMOL software were used to verify the molecular docking of the main active components and key targets of Guizhi Fuling Pills.Results:A total of 74 active components, 239 potential targets and 4 710 AS-related disease targets were screened, and 182 intersection targets were obtained. A total of 484 biological process items, 132 molecular function items and 74 cellular component items were obtained by GO functional enrichment analysis, and 116 signal pathways were screened by KEGG enrichment analysis. The results of molecular docking suggested that the active components of Guizhi Fuling Pills have good binding activity to the key intersection targets.Conclusion:The active components of Guizhi Fuling Pills, such as sitosterol and paeoniflorin, mainly treat AS by regulating estrogen signal pathway and inflammatory signal pathway through TNF, VEGFA and other targets.

Pseudogenes were initially thought to have no function and were called by aliases, such as "junk genes." With the emergence of large-scale genomics projects and more and more experimental studies, pseudogenes have been shown to play an important role in the occurrence and development of solid tumors, especially playing an important regulatory role in the occurrence and develepment of liver cancer, such as regulating the proliferation, apoptosis, invasion, metastasis, and immunity of liver cancer cells. Recent studies showed that pseudogenes can act as regulators of oncogenes and tumor suppressors in hepatocellular carcinoma (HCC) and can thus serve as prognostic markers and even therapeutic targets for this cancer type. In this review, we systematically summarize the mechanisms and functions of different pseudogenes in HCC and present their future prospects as therapeutic targets.

ObjectiveTo evaluate the local failure and the impact on survival by prospectively comparing involved field radiotherapy (IFRT) and elective nodal irradiation (ENI) in combination with concurrent chemotherapy for locally advanced non-small cell lung cancer ( LA-NSCLC ).Methods LANSCLC patients were treated with 2 cycles of carboplatin ( AUC =5 - 6,d1 ) combined with paclitaxel ( 175mg/m2 ),followed assessment without distant metastasis,then randomized into IFRT (45 patients) or ENI (54 patients) arm.IFRT included primary tumor,ipsilateral hilar and positive mediastinal lymph nodes;ENI included the primary lesion,ipsilateral hilar,hilateral mediastinal lymph node drainage and bilateral supraclavicular area.The prescription dose was given as high as possible with V20 ≤35％ and spinal cord dose ≤50 Gy,combined weekly paclitaxel 40 mg/m2 concurrent chemotherapy.The Kaplan-Meier method was used to estimate survival data and the log-rank method was used to test distribution of survival time between arms.ResultsThe follow-up rate was 99％.49,29 and 17 patients were followed-up for 1-,2-and 3-year,respectively.More patients from group IFRT received ＞60 Gy than ENI (49％ vs.26％,x2 =5.59,P =0.018 ).The local failure rates were 29％ and 36％,respectively ( x2 =0.46,P =0.497 ).The 1-,2-and 3-year local tumor progression-free survival rates were 76％,69％,65％ and 80％,53％,49％ ( x2 =0.74,P =0.389),respectively; the 1-,3-and 5-year overall survival rates were 80％,41％,33％ and 69％,32％,13％ (x2 =3.97,P =0.046),respectively.There were no significant differences in acute and late toxicities between the arms ( x2 =3.910 - 0.155,P =0.142 - 0.925 ).ConclusionsIFRT improved radiation dose and survival rate and did not increase the failure of elective lymph node region compared with ENI.The toxicities were no differences between IFRT and ENL Further investigation with big size sample is warranted.

Objective To establish a quality traceability evaluation method for the whole honeysuckle oral solution process by identifying and screening its anti-inflammatory quality markers.Methods UPLC/-TOF-MS was used to analyze the iridoids and phenolic acids in oral solution,and the correlations were constructed by molecular network technology.The HPLC fingerprints of multiple batches of oral solution were established,and similarity analyses were performed to identify key pharmacodynamic molecules.The key anti-inflammatory quality markers were confirmed by the NF-κB dual luciferase assay system.Further,the quantification of 12 quality markers of iridoids and phenolic acids in oral solution was established separately based on the dual-wavelength HPLC technique.The quality of the oral solution was evaluated by examining the extraction and transfer rate of quality markers during the processing of raw materials and preparations and thermal stability.Results A total of 9 iridoids and 6 phenolic acids were identified in the oral solution,and the possible conversion relationships between their components were depicted.Fingerprint analysis of 11 batches of oral liquids showed that the composition of their main peaks was the same,with a similarity of more than 90%.Among them,6 iridoids(loganic acid,secologanoside,secologanic acid,sweroside,secoxyloganin,secologanin)and 6 phenolic acids(neochlorogenic acid,chlorogenic acid,cryptochlorogenic acid,isochlorogenic B,isochlorogenic A,isochlorogenic C)exhibited NF-κB inhibitory activity,which were the main pharmacological components and could be used as quality markers.The traceability of the above 12 quality markers was investigated in a multi-batch process based on the dual-wavelength HPLC method.The thermal stability studies of the raw materials revealed that the contents of their total iridoids and phenolic acids remained stable.Still,some of them would be transformed between components.The production process of the oral solution was stable,and the transfer rates of the iridoids and phenolic acids during the extraction,concentration and preparation were over 76%and 63%,respectively.Conclusion The method is stable,reliable,easy to operate and can evaluate the full honeysuckle oral solution process,which provides an effective means for the quality control of honeysuckle herbs and preparations.

Virtual reality technology is an emerging technology that integrates multiple disciplines. It has the advantages of immersion, interactivity and imagination, which provides convenience for intelligent nursing in the field of rehabilitation treatment. This paper summarizes the application research of virtual reality technology in patients with kinetophobia, focusing on classification, application mechanism, application status, limitations and future development of virtual reality technology in various diseases of kinetophobia, so as to provide reference and basis for the rehabilitation nursing of patients with kinetophobia based on virtual reality technology in the future.

Objective:To explore the association between the variability of triglyceride glucose index (TyG) and the risk of type 2 diabetes mellitus(T2DM).Methods:This study was a retrospective cohort study. A total of 22 929 community-dwelling elderly (aged≥60 years) who received annual health check-ups in Kunshan city of Suzhou Municipality during 2014 to 2021 were enrolled in the study. Fasting triglycerides and blood glucose were measured during annual physical check-ups and the TyG was calculated, the standard deviation of TyG measurements in three consecutive physical check-ups was used as the indicatior of TyG long-term variability. According to the quartile of TyG long-term variability, the study subjects were divided into four groups, namely Q 1 (0-0.14), Q 2 (>0.14-0.22), Q 3 (>0.22-0.33), Q 4 (>0.33-1.90). The outcome variable was the occurrence of T2DM. The relationship between TyG variability and T2DM incidence was analyzed by multivariate Cox regression. Results:In the study cohort 11 518 (50.2%) were females and the mean age was (67.42±5.35) years. By the end of follow-up, 2 934 cases of new T2DM were diagnosed, with an oveall incidence rate of 12.8%. After adjusting for multiple confounders and average TyG, long-term variability of TyG was significantly associated with T2DM risk ( HR=1.83, 95% CI: 1.51-2.20). The risk of T2DM in Q 4 group was significantly higher than that in Q 1 group ( HR=1.33, 95% CI: 1.19-1.47). Kaplan-Meier survival curve showed that long-term variability of TyG was significantly correlated with the cumulative risk of T2DM incidence ( P<0.001). Conclusions:TyG variability is an independent risk factor for T2DM, suggesting that attention should be paid not only to specific time-point TyG levels but also to TyG fluctuation for early identification of T2DM risk.