BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.

Anaplastic thyroid carcinoma(ATC)is the most aggressive malignancy with poor prognosis.The pathogenesis of ATC is complex,and there is no effective treatment at present.In recent years,with the deep understanding of the genetic(such as BRAF V600E,TP53,TERT,PIK3CA mutations,etc.)and epigenetic(such as histone methylation,histone deacetylation,microRNA regulatory pathways,etc.)changes driving ATC,molecular targeted therapy has brought new hope to ATC patients.This article reviews the molecular mechanisms of ATC and the latest achievements in targeted therapy and other therapies.

Objective:To investigate the expression of HBB in anaplastic thyroid cancer(ATC)cells and its regulatory effect on proliferation,invasion,migration and apoptosis of ATC cells and its potential mechanism.Methods:The expression of HBB in thyroid cancer and paracancerous tissues was analyzed through TIMER database.The correlation between the expression of HBB and the overall survival time of thyroid cancer patients was analyzed through KM-plotter database.The expression of HBB mRNA in ATC cells was detected by RT-qPCR.The HBB knockout or overexpression plasmid was transfected into ATC cells.The expression of HBB protein was detected by Western blot.The proliferation activity was detected by CCK-8 assay.The migration and invasion ability was detected by Transwell assay.The apoptosis was detected by flow cytometry.The expression of β-catenin was detected by Western blot.Results:The expression of HBB was low in thyroid cancer,and the overall survival time of patients with high expression of HBB was high.The expression of HBB protein was down-regulated in ATC cells.Knockout of HBB increased the ability of proliferation,migration and invasion of ATC cells and the expression of β-catenin protein,and inhibited apoptosis.However,overexpression of HBB decreased the ability of proliferation,migration and invasion of ATC cells and the expression of β-catenin protein,and promoted apoptosis.Conclusions:High HBB expression is associated with higher overall survival in patients with thyroid cancer.It may inhibit the proliferation,migration and invasion of ATC cells and promote apoptosis through Wnt/β-catenin signal pathway.

Purpose/Significance To classify the elderly according to their heterogeneous health status,and to explore the potential categories and influencing factors status,so as to promote the precision of health information services for the elderly.Method/Process Based on the data of the China health and retirement longitudinal study(CHARLS)database in 2018,the elderly are classified according to their health status by the method of latent class analysis,and the main influencing factors are identified by regression analysis.Result/Conclusion The elderly could be divided into 4 categories according to their health status.Age,sex,education level and retirement sta-tus are significant factors affecting the health grouping of the elderly.According to the heterogeneous health characteristics of the elderly,the service optimization strategy should be provided to promote the physical and mental health of the elderly.

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.

Esophageal squamous cell carcinoma (ESCC) is a kind of malignant tumor with high incidence and mortality in the digestive system. The aim of this study is to explore the function of lnc-ABCA12-3 in the development of ESCC and its unique mechanisms. RT-PCR was applied to detect gene transcription levels in tissues or cell lines like TE-1, EC9706, and HEEC cells. Western blot was conducted to identify protein expression levels of mitochondrial apoptosis and toll-like receptor 4 (TLR4)uclear factor kappa-B (NF-κB) signaling pathway. CCK-8 and EdU assays were carried out to measure cell proliferation, and cell apoptosis was examined by flow cytometry. ELISA was used for checking the changes in glycolysis-related indicators.Lnc-ABCA12-3 was highly expressed in ESCC tissues and cells, which preferred it to be a candidate target. The TE-1 and EC9706 cells proliferation and glycolysis were obviously inhibited with the downregulation of lnc-ABCA12-3, while apoptosis was promoted. TLR4 activator could largely reverse the apoptosis acceleration and relieved the proliferation and glycolysis suppression caused by lnc-ABCA12-3 downregulation. Moreover, the effect of lnc-ABCA12-3 on ESCC cells was actualized by activating the TLR4/NF-κB signaling pathway under the mediation of exosome. Taken together, the lnc-ABCA12-3 could promote the proliferation and glycolysis of ESCC, while repressing its apoptosis probably by regulating the TLR4/NF-κB signaling pathway under the mediation of exosome.

Objective:To explore the incidence, clinical characteristics, imaging features, clinical outcome and prognosis of indeterminate pulmonary nodules (IPN) in patients with osteosarcoma.Methods:A total of 69 patients of osteosarcoma with IPN in lung treated in the Bone tumor Center of Eastern Theater General Hospital from January 2011 to January 2021 were collected retrospectively, there were 47 males and 22 females, with a median age of 19 years old (range 7-60 years old). The clinical characteristics including disease-free interval, the chemotherapy response, with recurrence/non-pulmonary, IPN presence before / during / after chemotherapy and imaging features of IPN including number of IPN, location of IPN, density of IPN, boundary clarity of IPN and outcome. The patients were divided into the metastasis pulmonary nodules group and the benign nodules group according to the final outcome of IPN. Further, χ 2 test was performed for comparison of the clinical and imaging characteristics between the two groups. The survival of patients was counted and the correlation between single factor and survival was compared by Kaplan-Meier test, and multivariate survival analyses were performed using Cox proportional hazards regression models. Results:Sixty-nine cases occurred IPN in 211 patients with osteosarcoma, with an incidence of 32.7%. Of the 69 patients, 45 patients (65.2%) with IPN were diagnosed as metastases, and 24 patients (34.8%) with IPN were diagnosed as benign nodules. Follow-up length ranged from 1 to 124 months, with the median follow up time 43 months. To the end of follow-up, 41 patients (59.4%) remained alive and 28 patients (40.6%) had died. The median survival time was 41.0 (20.0, 65.0) months and the median survival time after diagnosis of IPN was 25.0 (10.0, 43.0) months. There were significant differences in lung nodule density ( P<0.001), boundary ( P=0.002), history of recurrence/extra-pulmonary metastasis ( P=0.023) and chemotherapeutic effect ( P<0.001) between the metastasis pulmonary nodules group and the benign nodules group. Multivariate survival analysis showed that chemotherapeutic effect was an independent factor affecting the overall survival of patients [ HR=0.048, 95% CI (0.01, 0.26)]. Boundary definition [ HR=0.12, 95% CI (0.02, 0.93)] and chemotherapeutic effect [ HR=0.06, 95% CI (0.01, 0.29)] were independent factors influencing survival after diagnosis of IPN. Conclusion:Osteosarcoma patients with IPN have a poor prognosis. The poor effect of chemotherapy is an independent risk factor for the overall survival time of those patients and the survival time after diagnosis of IPN. The boundary definition of IPN is an independent risk factor for the survival time after diagnosis of IPN.

Objective:To compare outcomes between standardized and misdiagnosis and mistreatment of osteosarcoma.Methods:A retrospective analysis of patients with high-grade osteosarcoma who received appropriate surgical treatment and chemotherapy (299 cases, control group) and those who were misdiagnosed (benign or infective) and received mistreatment (23 cases, study group) between January 2009 and December 2021. Gender, age, first operation mode, recurrence time, recurrence interval, metastasis time, metastasis interval, total survival time (months), survival status in the two group and tumor site reoperation mode in the study group were statistically analyzed. Further, chi-square test was performed for comparison of the clinical between two groups. The survival analysis was performed using Kaplan-Meier test and Log-rank test.Results:All the 322 patients were followed up. In the control group, the average follow-up time was 42 months (1-137 months), the average age was 24 years (3-80 years), male 184 cases, female 115 cases, and limb salvage rate was 85.3% (255/299). Seven patients underwent amputation, and the amputation rate was 17.7% (44/299). The recurrence rate was 8.4% (25/299), the average recurrence interval was 22.8 months (7-36 months), and the metastasis rate was 28.1% (85/299), the average metastasis time was 32.7 months (0-58 months). In the study group, the average of follow-up time was 30 months (9-117 months), the average age was 36 years (5-67 years), 17 males and 6 females. Among them, eleven patients were treated with limb salvage in the second stage, and the limb salvage rate was 47.8% (11/23). Seven patients underwent amputation, and the amputation rate was 30.4% (7/23). The recurrence rate was 26.1% (6/23), the average recurrence interval was 11 months (1-42 months), and the metastasis rate was 43.4% (10/23), the average metastasis time was 20.3 months (1-44 months). The 5-year survival rate was 50.7% in the study group and 56.1% in the control group. There was no significant difference between the two groups (χ 2=0.09, P=0.760). Conclusion:The overall prognosis of patients with high-grade osteosarcoma who receive active treatment after mistreatment is similar to that of patients with standardized treatment, but the recurrence and metastasis rate is higher, the recurrence time is earlier, and the amputation rate is higher.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

Medical physicists play an important role in the delivery of radiotherapy. Compared with China′s mainland, Hong Kong has established a more mature training mode and a more complete management system for medical physics talents. In this article, the authors introduced the current state of medical physics talent training, as well as the recruitment, certification and promotion of medical physicist in Hong Kong by querying the official websites of medical physics organizations, reviewing related literature and interviewing senior medical physicists in Hong Kong. The authors also analyzed the shortcomings in the construction of medical physics talent system in China′s mainland and made valuable suggestions.