Objective The aim of this study is to retrospectively analyze the clinical and imaging characteristics,treatment and prognosis of 13 patients with granulomatous prostatitis(GP),and to provide reference for the diagnosis and treatment for GP.Methods The clinical information of 13 GP patients extracted from electronic medical records including demographic characteristic risk factors,clinical symptoms,laboratory findings,imaging findings(ultrasound,CT,MRI,FDG-PET-CT),treatment and outcomes were analyzed retrospectively from January 2018 to August 2023 at our center.Results The average age of 13 patients with GP was(65.69±6.46)years.And the average score of IPSS was(23.40±5.8).Five patients appeared positive results,of which 11 cases received digital rectal examination.The average level of pre-biopsy tPSA was(23.28±44.94)μg/L with fPSA/tPSA ratio of 0.11±0.05 and PSAD of(0.55±1.07)μg/l/mL.The pre-biopsy mean MRI PI-RADS 2.0 was(4.6±0.6)in this group of patients.Extraprostatic invasion was shown on imaging in 4 patients.The average number of biopsy needles was(19.6±3.9),and the pathological results showed tuber-culous granulomas in 2 cases(15.4％)and non-specific granulomatous inflammation in 11 cases(84.6％).Five patients received local treatment of the prostate after pathological confirmation(PVP in 4 cases,TURP in 1 case),2 patients re-ceived anti-tuberculosis therapy,and 3 cases were given antibiotics.Average follow-up was(20.6±11.2)months,and the average tPSA were(6.94±4.96)μg/L at 3-6 months after biopsy and/or surgery,with no obvious signs of malignancy during the follow-up period.Conclusion GP is the great mimicker of prostate cancer clinically and radiologically.Pros-tate biopsy is the method for confirming the diagnosis.For patients who are considering biopsy-free radical prostatectomy,it is important to consider the possibility of GP.

Objective To explore the mechanism of hepatic oval cells(HOCs)regulating liver regener-ation through Wnt/β-catenin pathway in human liver cirrhosis.Methods Forty cases of Child-Pugh class A cirrhosis tissues and 10 cases of normal liver tissues were collected and divided into the normal liver tissue group,the liver fibrosis group,the mild cirrhosis group and the moderate cirrhosis group based on HE staining and the Laennec classification system.The expression of Wnt/β-catenin pathway,CyclinD1 and Jagged-1 in each group were detected and compared,and the mechanism of Wnt/β-catenin pathway in the regulation of liver regeneration by HOCs was explored.Results The expression of Wnt and β-catenin increased with the aggravation of liver cirrhosis(P＜0.05).In contrast,the expression of CyclinD1 and Jagged-1 decreased with the aggravation of liver cirrhosis(P＜0.05).The expression levels of Wnt and β-catenin were positively corre-lated with the number of HOCs per unit area(r=0.806,0.634,P＜0.01).Compared with the degree of liver cirrhosis,the expression of Wnt/β-catenin had greater influence on the number of HOCs per unit area,the ex-pression of CyclinD1 and Jagged-1,and the differences were statistically significant(P＜0.05).Conclusion Wnt/β-catenin pathway can promote the generation of HOCs in human liver cirrhosis and mediate liver regenera-tion.

Objective:To study the risk factors and dosiomics-based prediction model of bone marrow suppression in patients with esophageal cancer during radiotherapy.Methods:Clinic data and radiotherapy planning documents of 107 patients with oesophageal cancer who underwent radiotherapy at the First Affiliated Hospital of Nanjing Medical University from January 2021 to May 2024 were retrospectively analyzed. Blood test results before and during radiotherapy were collected, and patients were classified into myelosuppressive groups (≤grade 1 and ≥grade 2). Clinical features, traditional dosimetric features and dosiomics features were collected, respectively. According to the stratified randomization grouping method, all patients were divided into the training and test sets in a 7 vs. 3 ratio. The region of interest was obtained by automatically outlining the thoracic skeleton (including the sternum, thoracic vertebrae and ribs) by AccuContour software. Dosiomics features were extracted from the dose distribution of the thoracic skeleton, and these features were screened using the independent samples t-test, the muse selector and the least absolute shrinkage operator. Subsequently, the dosiomic scores were calculated. Statistically significant clinical characteristics were screened using univariate and multivariate logistic regression analyses. Support vector machine method was used to construct a clinical model and a clinical combined with dosiomic model. Subsequently, nomogram was drawn for clinical prediction. The clinical efficacy and clinical benefit of predictive model were assessed by plotting the receiver operating characteristic (ROC) curve and evaluating its performance through the area under the ROC curve (AUC), the calibration curve and decision curve analysis (DCA). Results:Thirteen dosiomic features associated with bone marrow suppression were screened. Based on both univariate and multivariate logistic regression analyses, simultaneous chemotherapy, V 35 Gy and the average dose to bone were identified as statistically significant clinical predictors (all P<0.05). The AUC values of the combined model in the training and test sets were 0.800 and 0.776, higher than 0.709 and 0.650 of the clinical model. The calibration curves showed good agreement between the predicted and actual probabilities of the combined model. The DCA results showed that the net clinical benefit of the combined model was higher than that of the clinical model. Conclusions:The combined dosiomics-based model is effective in improving the predictive performance of bone marrow suppression occurring after radiotherapy for esophageal cancer.

Objective The aim of this study is to retrospectively analyze the clinical and imaging characteristics,treatment and prognosis of 13 patients with granulomatous prostatitis(GP),and to provide reference for the diagnosis and treatment for GP.Methods The clinical information of 13 GP patients extracted from electronic medical records including demographic characteristic risk factors,clinical symptoms,laboratory findings,imaging findings(ultrasound,CT,MRI,FDG-PET-CT),treatment and outcomes were analyzed retrospectively from January 2018 to August 2023 at our center.Results The average age of 13 patients with GP was(65.69±6.46)years.And the average score of IPSS was(23.40±5.8).Five patients appeared positive results,of which 11 cases received digital rectal examination.The average level of pre-biopsy tPSA was(23.28±44.94)μg/L with fPSA/tPSA ratio of 0.11±0.05 and PSAD of(0.55±1.07)μg/l/mL.The pre-biopsy mean MRI PI-RADS 2.0 was(4.6±0.6)in this group of patients.Extraprostatic invasion was shown on imaging in 4 patients.The average number of biopsy needles was(19.6±3.9),and the pathological results showed tuber-culous granulomas in 2 cases(15.4％)and non-specific granulomatous inflammation in 11 cases(84.6％).Five patients received local treatment of the prostate after pathological confirmation(PVP in 4 cases,TURP in 1 case),2 patients re-ceived anti-tuberculosis therapy,and 3 cases were given antibiotics.Average follow-up was(20.6±11.2)months,and the average tPSA were(6.94±4.96)μg/L at 3-6 months after biopsy and/or surgery,with no obvious signs of malignancy during the follow-up period.Conclusion GP is the great mimicker of prostate cancer clinically and radiologically.Pros-tate biopsy is the method for confirming the diagnosis.For patients who are considering biopsy-free radical prostatectomy,it is important to consider the possibility of GP.

Objective:To study the risk factors and dosiomics-based prediction model of bone marrow suppression in patients with esophageal cancer during radiotherapy.Methods:Clinic data and radiotherapy planning documents of 107 patients with oesophageal cancer who underwent radiotherapy at the First Affiliated Hospital of Nanjing Medical University from January 2021 to May 2024 were retrospectively analyzed. Blood test results before and during radiotherapy were collected, and patients were classified into myelosuppressive groups (≤grade 1 and ≥grade 2). Clinical features, traditional dosimetric features and dosiomics features were collected, respectively. According to the stratified randomization grouping method, all patients were divided into the training and test sets in a 7 vs. 3 ratio. The region of interest was obtained by automatically outlining the thoracic skeleton (including the sternum, thoracic vertebrae and ribs) by AccuContour software. Dosiomics features were extracted from the dose distribution of the thoracic skeleton, and these features were screened using the independent samples t-test, the muse selector and the least absolute shrinkage operator. Subsequently, the dosiomic scores were calculated. Statistically significant clinical characteristics were screened using univariate and multivariate logistic regression analyses. Support vector machine method was used to construct a clinical model and a clinical combined with dosiomic model. Subsequently, nomogram was drawn for clinical prediction. The clinical efficacy and clinical benefit of predictive model were assessed by plotting the receiver operating characteristic (ROC) curve and evaluating its performance through the area under the ROC curve (AUC), the calibration curve and decision curve analysis (DCA). Results:Thirteen dosiomic features associated with bone marrow suppression were screened. Based on both univariate and multivariate logistic regression analyses, simultaneous chemotherapy, V 35 Gy and the average dose to bone were identified as statistically significant clinical predictors (all P<0.05). The AUC values of the combined model in the training and test sets were 0.800 and 0.776, higher than 0.709 and 0.650 of the clinical model. The calibration curves showed good agreement between the predicted and actual probabilities of the combined model. The DCA results showed that the net clinical benefit of the combined model was higher than that of the clinical model. Conclusions:The combined dosiomics-based model is effective in improving the predictive performance of bone marrow suppression occurring after radiotherapy for esophageal cancer.

Objective:To explore the feasibility of predicting complexity of intensity modulated radiotherapy(IMRT)plan through adopted machine learning method to extract planomics features of radiotherapy,so as to provide a new method for comprehensive evaluation of the complexity of IMRT plan.Methods:The medical case data of 3203 patients with pelvic tumor,or abdominal tumor or head and neck tumor,who admitted to The First Affiliated Hospital with Nanjing Medical University from December 2022 to November 2023,were selected.All patients adopted Monaco system to conduct design for plan,and underwent treatment on Precise and Axesse accelerators.The evaluation indicator of complexity of 10 plans was calculated by using Python software,and the planomics features in the files of radiotherapy plans were extracted through format conversion and pyradiomics tool of imaging omics.The planomics features of radiotherapy were selected through data cleaning,filtering method and embedding method of machine learning.The corresponding predictive model of the evaluation indicator of complexity of 10 common plans was respectively constructed through used Gradient Boosting Decision Tree algorithm.The goodness of fit(R2)was adopted to evaluate the prediction performance of the model,and the 5-fold cross-validation method was adopted to detect the generalization ability of the model.Results:There were statistically significant differences between Precise accelerator and Axesse accelerator in average leaf to area(LA),plan irregularity(PI)of beam shape and standard circle,modulation complexity score(MCS)of the variability between shape and area of subfield,and the advantage value of leaf travel(LT)(t=63.894,-63.678,72.582,-48.858,P＜0.01),respectively.A total of 107 planomics features were extracted through pyradiomics tool,and 38 features were remained after filtering method conducted screening,and 4 to 11 features were remained after embedding method conducted screening.The goodness of fits of mean field area(MFA),LA and leaf gap average(LGA)value were better in the validation set,with R2＞0.970,however the goodness of fits of the proportion of small aperture score 20 mm(SAS20)was poor in validation set,with R2=0.917.The 5-fold cross-validation results showed that the average value of prediction accuracy of all indicators of complexity was＞90％.Conclusions:The extracted planomics features of radiotherapy based on radiomics method can accurately predict the complexity of IMRT plan,which are expected to play a greater role in improving the ensure efficiency of individual quality of patient,and screening radiotherapy plan with higher-quality.

Objective:To assess the predictive value of dosiomics in predicting the occurrence of bone marrow suppression (BMS) in patients with pelvic tumors during radiotherapy.Methods:A retrospective analysis was conducted on the clinical data and radiotherapy planning documents of 129 patients with pelvic region tumors who underwent radiotherapy at the First Affiliated Hospital of Nanjing Medical University from January 2019 to January 2023. The region of interest (ROI) was outlined for bone marrow in the pelvic region by Accu Contour software in planning CT, and the ROI was exported together with the dose distribution file. According to a stratified randomization grouping method, the patients were divided into the training set and test set in an 8 vs. 2 ratio. The dosiomic features were extracted from the ROI, and the two independent samples t-test and the least absolute shrinkage and selection operator (LASSO) algorithm was employed to identify the best predictive characteristics. Subsequently, the dosiomic scores were calculated. Clinical predictors were identified through both univariant and multivariate logistic regression analyses. Predictive models were constructed by using clinical predictors alone and combining clinical predictors and dosiomic scores. The efficacy of predictive model was assessed by plotting the receiver operating characteristic (ROC) curve and evaluating its performance through the area under the ROC curve (AUC), the calibration curve, and decision curve analysis (DCA). Results:Fourteen dosiomic features that showed a strong correlation with the occurrence of BMS were screened and utilized to calculate the dosiomic scores. Based on both univariant and multivariate logistic regression analyses, chemotherapy, planning target volume (PTV) and V 5 Gy were identified as clinical predictors. According to the combined model, the AUC values for the training set and test set were 0.911 and 0.868, surpassing those of the clinical model (AUC=0.878 and 0.824). Furthermore, the analysis of both the calibration curve and DCA suggested that the combined model had higher calibration and net clinical benefit. Conclusion:The combined model has a high diagnostic value for predicting BMS in patients with pelvic tumors during radiotherapy.

Objective To establish an animal model of postmortem redistribution of amantadine,and to study its postmortem redistribution in rats,so as to provide experimental evidence for forensic identification.Methods One hundred and twenty-six male SD rats were randomly divided into 3 groups and subjected to intragastric administration according to the maximum dose of treatment(L),LD50(M)and 2LD50(H).Those who did not die were killed according to the average time of death of LD50.Heart-blood,peripheral blood,heart,liver,spleen,lung,kidney,brain,muscle and testis were collected at 0 h,6 h,12 h,24 h,48 h,72 h and 96 h after death,and amantadine content was detected.Results For the rats in the L group,the concentration of amantadine decreased within 6 h after death and then increased in the heart-blood,heart and liver,unchanged within 48 h and reached the peak at 96 h in the spleen,kidney,brain,muscle and testis,while decreased in the lung.For the rats in the M group,the concentration of amantadine decreased within 24 h after death and then increased in all samples,and it reached the peak at 48 h after death in the peripheral blood,spleen,kidney and muscle tissues,at 72 h after death in the heart-blood and testis,and at 96 h after death in the liver,lung and brain tissues.For the rats in the H group,the concentration of amantadine showed a downward trend within 12 h after death in the heart and liver tissue,showed a downward trend within 48 h after death in the lung,brain and muscle tissue,and reached the peak at 96 h after death in the heart,liver,spleen,muscle and testicle tissues.Conclusion The postmortem redistribution was found in amantadine poisoning dead rats,which could provide experimental evidence for the forensic identification of death cases caused by amantadine poisoning.

Objective To monitor the quality of intravenous infusions in a constructed closed-loop tracking system,and to discuss its application effect.Methods The information program is reinvested in a team for the closed-loop tracking system of the intravenous infusion.There are modules of processing medical orders,pharmacy preparations,execution procedures with the doctor's orders,as well as the computing module.The system was put into clinical trial operation in November 2021 and officially applied in January 2022.Specifically,the number of infusion-related adverse events/red-light alert is recorded and compared before(January to December 2021)and after(January to December 2022)the application of the system.Random sampling method has been performed in a ward to investigate the amount of abnormal infusion for the comparison.Results It is shown that it occurred 3 times for the infusion-related adverse events before the operation of the system,and a time after that.In the neurological inpatients,we observe the amount of red-light alert as 5,120.25±775.82 before the system operation,and 1,518.25±74.77 after that.It is shown to decline by 70.35％on average with statistical significance on the total difference(P＜0.001).Monthly amount of infusion in the ward is 5,184 with 155 times of overfast(2.99％)for 775 minutes in total,and with 207 times of slow(3.99％)for 1,035 minutes in total.The average handling time per contact is 5 minutes.Conclusion The closed-loop tracking system for intravenous infusion quality monitoring can track and record the whole process of intravenous infusions.It is expected to provide accurate and objective data for closed-loop quality inspection on clinical nursing practice,which is conducive to nursing managers for any potential problems during infusion processing timely,to promote standardized nursing operations,and to further improve the safety of inpatients with intravenous infusion and medication.

Serine/arginine-rich splicing factor 7 (SRSF7), a known splicing factor, has been revealed to play oncogenic roles in multiple cancers. However, the mechanisms underlying its oncogenic roles have not been well addressed. Here, based on N⁶-methyladenosine (m⁶A) co-methylation network analysis across diverse cell lines, we find that the gene expression of SRSF7 is positively correlated with glioblastoma (GBM) cell-specific m⁶A methylation. We then indicate that SRSF7 is a novel m⁶A regulator, which specifically facilitates the m⁶A methylation near its binding sites on the mRNAs involved in cell proliferation and migration, through recruiting the methyltransferase complex. Moreover, SRSF7 promotes the proliferation and migration of GBM cells largely dependent on the presence of the m⁶A methyltransferase. The two m⁶A sites on the mRNA for PDZ-binding kinase (PBK) are regulated by SRSF7 and partially mediate the effects of SRSF7 in GBM cells through recognition by insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2). Together, our discovery reveals a novel role of SRSF7 in regulating m⁶A and validates the presence and functional importance of temporal- and spatial-specific regulation of m⁶A mediated by RNA-binding proteins (RBPs).
Humans ; Cell Line, Tumor ; Cell Proliferation ; Gene Expression Regulation, Neoplastic ; Glioblastoma/genetics* ; Methyltransferases/metabolism* ; RNA Splicing Factors/metabolism* ; RNA, Messenger/genetics* ; RNA-Binding Proteins/metabolism* ; Serine-Arginine Splicing Factors/metabolism* ; RNA Methylation/genetics*