Objective:To investigate the diagnostic efficacy of time-dependent diffusion MRI (t d-dMRI)-derived microstructural parameters for clinically significant prostate cancer (csPCa) and their associations with the pathological grade of prostate cancer(PCa) based on the International Society of Urological Pathology (ISUP) grades. Methods:This cross-sectional study prospectively enrolled 196 patients suspected of PCa from March 2023 to March 2024 at the First Affiliated Hospital, Sun Yat-Sen University. All patients underwent multiparametric MRI and t d-dMRI to obtain microstructural parameters, including cell diameter (d), intracellular volume fraction (f in), extracellular diffusion coefficient (D ex), cellularity, and apparent diffusion coefficient (ADC) value at oscillation frequencies of 33 Hz, 17 Hz, 0 Hz (ADC 33, ADC 17, and ADC 0). Pathologically, 95 cases were classified as csPCa (ISUP 2-5), and the rest 101 cases were classified as non-csPCa (benign or ISUP 1). Comparison of these microstructural metrics was made between csPCa and non-csPCa groups by independent t-tests or Mann-Whitney U tests, and multivariable logistic regression was used to identify independent predictors. A combined diagnostic model was then constructed based on the independent predictors. The receiver operating characteristic curve analysis was used to evaluate the diagnostic performance. Finally, in PCa, the correlation between microstructural parameters and ISUP grades was investigated by Spearman correlation. Results:The t d-dMRI measurements, including d, f in, cellularity, ADC 33,ADC 17 and ADC 0, were significantly different between csPCa and non-csPCa groups (All P<0.05). But D ex was not significantly different between the two groups ( Z=-1.27, P=0.204). The area under the receiver operating characteristic curve (AUC) for diagnosing csPCa were 0.701 (95% CI 0.628-0.775) for d, 0.869 (95% CI 0.819-0.920) for f in, 0.884 (95% CI 0.835-0.932) for cellularity, 0.777 (95% CI 0.712-0.842) for ADC 33, 0.852 (95% CI 0.799-0.905) for ADC 17, and 0.840 (95% CI 0.786-0.894) for ADC 0. Cellularity ( OR=6.142, 95% CI 2.920-12.929, P<0.001) and ADC 17 ( OR=0.108, 95% CI 0.027-0.429, P=0.002) were identified as the independent predictors, and their combined model achieved an AUC of 0.896 (95% CI 0.852-0.941). In PCa f in and cellularity were positively correlated with ISUP grades ( r=0.490 and 0.397, P<0.001), while ADC 33, ADC 17, and ADC 0 were negatively correlated with ISUP grades ( r=-0.198, -0.345, -0.360; P=0.041,<0.001,<0.001). d and D ex were not correlated with ISUP grades ( P>0.05). Conclusion:t d-dMRI based microstructural mapping correlates with ISUP grades of PCa and may be useful for the differential diagnosis of csPCa.

Objective To compare five time series models and predict the monthly incidence of bacillary dysentery in Qinghai Province in 2024,and provide reference for the prevention and control.Methods The epidemic charac-teristics of bacterial dysentery in Qinghai Province from 2014 to 2023 were analyzed.R4.3.1 software was used for establishing seasonal autoregressive integrated moving average(SARIMA)model,Holt-Winters triple exponential smoothing(Holt Winters)model,exponential smoothing(ETS)model,neural network autoregression(NNAR)model,and trigonometric seasonality,Box-Cox transformation,ARMA errors,trend and seasonal components(TBATS)model.Fitting effect of the models was analyzed and accuracy was compared.Results From 2014 to 2023,a total of 5 833 cases of bacterial dysentery were reported in Qinghai Province,without deaths,male to fe-male ratio being 1.23∶1.The highest incidence was reported in 2016(15.45 per 100 000 people),and the lowest in-cidence was reported in 2023(3.68 per 100 000 people).Incidence increased from 2014 to 2016,then decreased,showing an obvious overall downward trend.Case number in＜5 years age group was the highest,accounting for 29.76％of the total cases(n=1 736).Regarding population distribution,the top three were children in childcare institutions and scattered children(35.56％),farmers(24.65％),and students(12.62％).Except the additive Holt-Winters model,the predicted trends of the other four models were consistent with actuality.The ETS model had the best fitting effect,with a relatively balanced overall performance(training set:MAE=0.13,RMSE=0.21,MAPE=19.55％;testing set:MAE=0.11,RMSE=0.16,MAPE=28.66％).It is recommended to pre-dict the incidence of bacillary dysentery in Qinghai Province based on ETS model.Conclusion From 2014 to 2023,bacterial dysentery in Qinghai Province showed a downward trend,with the peak of the epidemic from June to Au-gust.Preschool and scattered children were high-risk groups.Among the five prediction models,ETS model has the best fitting effect,and can be used to predict the incidence of bacillary dysentery.

Objective To compare five time series models and predict the monthly incidence of bacillary dysentery in Qinghai Province in 2024,and provide reference for the prevention and control.Methods The epidemic charac-teristics of bacterial dysentery in Qinghai Province from 2014 to 2023 were analyzed.R4.3.1 software was used for establishing seasonal autoregressive integrated moving average(SARIMA)model,Holt-Winters triple exponential smoothing(Holt Winters)model,exponential smoothing(ETS)model,neural network autoregression(NNAR)model,and trigonometric seasonality,Box-Cox transformation,ARMA errors,trend and seasonal components(TBATS)model.Fitting effect of the models was analyzed and accuracy was compared.Results From 2014 to 2023,a total of 5 833 cases of bacterial dysentery were reported in Qinghai Province,without deaths,male to fe-male ratio being 1.23∶1.The highest incidence was reported in 2016(15.45 per 100 000 people),and the lowest in-cidence was reported in 2023(3.68 per 100 000 people).Incidence increased from 2014 to 2016,then decreased,showing an obvious overall downward trend.Case number in＜5 years age group was the highest,accounting for 29.76％of the total cases(n=1 736).Regarding population distribution,the top three were children in childcare institutions and scattered children(35.56％),farmers(24.65％),and students(12.62％).Except the additive Holt-Winters model,the predicted trends of the other four models were consistent with actuality.The ETS model had the best fitting effect,with a relatively balanced overall performance(training set:MAE=0.13,RMSE=0.21,MAPE=19.55％;testing set:MAE=0.11,RMSE=0.16,MAPE=28.66％).It is recommended to pre-dict the incidence of bacillary dysentery in Qinghai Province based on ETS model.Conclusion From 2014 to 2023,bacterial dysentery in Qinghai Province showed a downward trend,with the peak of the epidemic from June to Au-gust.Preschool and scattered children were high-risk groups.Among the five prediction models,ETS model has the best fitting effect,and can be used to predict the incidence of bacillary dysentery.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective:To investigate the diagnostic efficacy of time-dependent diffusion MRI (t d-dMRI)-derived microstructural parameters for clinically significant prostate cancer (csPCa) and their associations with the pathological grade of prostate cancer(PCa) based on the International Society of Urological Pathology (ISUP) grades. Methods:This cross-sectional study prospectively enrolled 196 patients suspected of PCa from March 2023 to March 2024 at the First Affiliated Hospital, Sun Yat-Sen University. All patients underwent multiparametric MRI and t d-dMRI to obtain microstructural parameters, including cell diameter (d), intracellular volume fraction (f in), extracellular diffusion coefficient (D ex), cellularity, and apparent diffusion coefficient (ADC) value at oscillation frequencies of 33 Hz, 17 Hz, 0 Hz (ADC 33, ADC 17, and ADC 0). Pathologically, 95 cases were classified as csPCa (ISUP 2-5), and the rest 101 cases were classified as non-csPCa (benign or ISUP 1). Comparison of these microstructural metrics was made between csPCa and non-csPCa groups by independent t-tests or Mann-Whitney U tests, and multivariable logistic regression was used to identify independent predictors. A combined diagnostic model was then constructed based on the independent predictors. The receiver operating characteristic curve analysis was used to evaluate the diagnostic performance. Finally, in PCa, the correlation between microstructural parameters and ISUP grades was investigated by Spearman correlation. Results:The t d-dMRI measurements, including d, f in, cellularity, ADC 33,ADC 17 and ADC 0, were significantly different between csPCa and non-csPCa groups (All P<0.05). But D ex was not significantly different between the two groups ( Z=-1.27, P=0.204). The area under the receiver operating characteristic curve (AUC) for diagnosing csPCa were 0.701 (95% CI 0.628-0.775) for d, 0.869 (95% CI 0.819-0.920) for f in, 0.884 (95% CI 0.835-0.932) for cellularity, 0.777 (95% CI 0.712-0.842) for ADC 33, 0.852 (95% CI 0.799-0.905) for ADC 17, and 0.840 (95% CI 0.786-0.894) for ADC 0. Cellularity ( OR=6.142, 95% CI 2.920-12.929, P<0.001) and ADC 17 ( OR=0.108, 95% CI 0.027-0.429, P=0.002) were identified as the independent predictors, and their combined model achieved an AUC of 0.896 (95% CI 0.852-0.941). In PCa f in and cellularity were positively correlated with ISUP grades ( r=0.490 and 0.397, P<0.001), while ADC 33, ADC 17, and ADC 0 were negatively correlated with ISUP grades ( r=-0.198, -0.345, -0.360; P=0.041,<0.001,<0.001). d and D ex were not correlated with ISUP grades ( P>0.05). Conclusion:t d-dMRI based microstructural mapping correlates with ISUP grades of PCa and may be useful for the differential diagnosis of csPCa.

Objective To explore the differential expression of the key microfilament cytoskeleton-binding proteins in immature dendritic cells(imDCs)during antigen phagocytosis.Methods Monocytes(MOs)were isolated from peripheral blood of healthy individuals and cultured with recombinant human granulocyte-macrophage colony stimulating factor(rhGM-CSF)and recombinant human interleukin-4(rhIL-4)for 6 days to obtain imDCs.ImDCs were co-cultured with low molecular weight(40 kDa)and high molecular weight(150 kDa)dextrans for 1,3 and 6 hours,respectively.Flow cytometry was used to detect the percentage of imDCs phagocytosing dextran and the expression of immunophenotype molecules.The localization of filamentous actin(F-actin),PFN1,WASP,and α-actinin in cells were observed by immunofluorescence imaging.The differential expression of MCBPs at the mRNA and protein levels were respectively detected by q-PCR and Western blotting.Finally,the MCBPs with the highest component coefficients were identified based on the stepwise regression and principal component analysis method in systems biology algorithms.Results During the process of antigen phagocytosis,imDCs phagocytized low molecular weight antigens at a faster rate,with a phagocytic duration of approximately three hours.Their cell phenotypes and morphology gradually differentiated into mDCs,and F-actin remodeling was occurred significantly.The expression of MCBPs such as PFN1,CDM,WASP,CAPZB,Filamin A,α-actinin were downregulated,while the expression of WAVE1,Arp2/3 complex,and Fascin were upregulated.The mRNA expression of signaling protein Rac1 was upregulated,while the mRNA expressions of CDC42 and RhoA were downregulated.The immunofluorescence results showed that PFN1,WASP,and α-actinin were transposed during the antigen phagocytosis process of imDCs.The results of stepwise regression and principal component analysis showed that PFN1 had the highest component coefficient.Conclusions PFN1 may be a key MCBPs involved in the process of antigen phagocytosis of imDCs,which is of great significance for further understanding the relationship between changes in the cytoskeleton structure of imDCs and their immunological functions.

Immunotherapy mainly uses the effector units of the body's immune system to overcome the immune escape or adaptive immune resistance of tumors, accurately identify and remove tumor cells, and normalize or enhance the function of the immune system, which mainly includes cytokine therapy, immune checkpoint inhibition therapy, adoptive cell immunotherapy, tumor vaccine and antibody targeted therapy. The immune characteristics of nasopharyngeal carcinoma make the patients potentially suitable for immunotherapy or combined therapy with radiotherapy and chemotherapy. In recent years, PD-1 inhibitors alone and in combination with chemotherapy have shown good anti-tumor activity and safety in the treatment of recurrent/metastatic nasopharyngeal carcinoma. The incorporation of immune checkpoint inhibitors into the treatment paradigms of nasopharyngeal carcinoma has become a clinical research hot spot.

Objective:To explore the effects of Onodera′s prognostic nutritional index (PNI) on the prognosis of locally advanced oropharyngeal squamous cell carcinoma (LA-OPSCC) after induction chemotherapy followed by sequential chemoradiotherapy.Methods:A retrospective analysis was conducted on the clinical data of 52 LA-OPSCC patients receiving induction chemotherapy followed by sequential chemoradiotherapy in The Affiliated Cancer Hospital of Guizhou Medical University during 2014-2018. The PNI values of all the patients at different treatment phases were statistically analyzed, and the ROC curve was employed to determine the optimal critical value of PNI. The patients in this study were divided into a well-nourished group ( n = 27) and a poorly-nourished group ( n = 25). The Kaplan-Meier method was used for survival analysis. The Cox proportional hazards model was utilized to analyze the relationships between different nutritional status and prognosis. Clinical features and adverse reactions were compared between the two groups. Results:The PNI values decreased significantly after radiotherapy, with an optimal critical value of 42.4. The 5-year overall survival (OS) and progression-free survival (PFS) of the well-nourished group (PNI ≥ 42.4) were 62.6% and 60.9%, respectively, which were significantly higher than those (30.1% and 29.7%) of the poorly-nourished group (PNI < 42.4, χ2 = 11.12, 5.74, P < 0.05). The multivariate analysis showed that PNI was an independent prognostic factor for the OS after radiotherapy ( HR = 2.752, 95% CI: 1.095-6.917, P = 0.031). The LA-OPSCC patients aged over 60 years or those who did not respond to induction chemotherapy accounted for a higher proportion of malnutrition after chemoradiotherapy ( χ2 = 4.89, 5.05, P < 0.05). Conclusions:PNI after radiotherapy can be used as a prognostic factor in the evaluation of LA-OPSCC patients receiving induction chemotherapy followed by sequential chemoradiotherapy. The LA-OPSCC patients aged over 60 years or those who do not respond to induction chemotherapy should receive more nutritional support during the chemoradiotherapy.

Objective:To explore the effect of clinical conventional fractionated dose radiation on the expression levels of immunogenic cell death (ICD) related proteins in patients with nasopharyngeal carcinoma (NPC).Methods:A total of 38 newly-treated NPC patients admitted to the Affiliated Cancer Hospital of Guizhou Medical University from November 2020 to December 2021 were enrolled, all of whom received induction chemotherapy and concurrent chemoradiotherapy, and another 20 healthy volunteers were selected as controls for a prospective study. The contents of ICD related proteins, namely calreticulin (CRT), high mobility group box 1 protein (HMGB-1) and heat shock protein 70 (HSP70) and the proportion of dendritic cell (DC) in the peripheral blood of patients were detected before treatment, after induction chemotherapy and after concurrent chemoradiotherapy, respectively. The correlation between the above indicators, general clinical data and short-term efficacy was analyzed by statistical methods such as t-test and analysis of variance (ANOVA). Results:The levels of HSP70 and HMGB-1 in peripheral blood of NPC patients before treatment were higher than those of healthy controls (both P<0.05). After concurrent chemoradiotherapy, the content of CRT was significantly higher than that before treatment ( P<0.05), whereas the difference before and after induction chemotherapy and the difference before and after concurrent chemoradiotherapy were not significantly correlated with the short-term efficacy of NPC patients. HSP70 level was significantly decreased after concurrent chemoradiotherapy ( P<0.001). There were no significant differences in the content of HMGB-1 after induction chemotherapy and concurrent chemoradiotherapy (both P>0.05). Conclusion:NPC patients receiving TPF regimen (docetaxel+cisplatin+fluorouracil) for induction chemotherapy and sequential cisplatin concurrent chemotherapy may induce ICD in NPC cells, and CRT has potential value in reflecting the clinical efficacy of NPC.