Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Objective To investigate the mechanism by which Biejiajian Pill(BJJP)regulates ferroptosis in hepatocellular carcinoma(HCC)cells through the p62/Keap1/NRF2 pathway and to provide an experimental basis for its application in the prevention and treatment of HCC.Methods Huh7 HCC cells were divided into a normal control group,a BJJP drug serum group,an erastin(a ferroptosis inducer)group,a BJJP drug serum+erastin group,and BJJP drug serum+ferrostatin-1(Fer-1)(a ferroptosis inhibitor)group.BJJP drug serum was prepared with animals treated with BJJP and CCK-8 assay was performed to determine the optimal concentration and duration of BJJP intervention.The levels of intracellular iron(Fe),reduced glutathione(GSH),lipid peroxides(MDA),and reactive oxygen species(ROS)were measured.Western blot was performed to determine the expression levels of FTH1,GPX4,xCT,SLC40A1,Keapl,p62,and NRF2.JC-1 staining was performed to measure mitochondrial membrane potential,and cell immunofluorescence was performed to determine the expression of p62 and Keap1.Results According to the CCK-8 assay results,the cell inhibition rate was highest when BJJP was administered at a high dose of 2.2 g/kg(P＜0.001).Furthermore,the inhibition rate of Huh7 cells was highest when Huh7 cells were treated with high-dose BJJP drug serum for 48 h.Therefore,the serum concentration of high-dose BJJP and 48 h were selected as the treatment dose and duration for the subsequent experiment.Compared with the control group,the BJJP drug serum group,the erastin group,and the BJJP drug serum+erastin group showed increased iron content,decreased GSH content,increased MDA levels,increased ROS aggregation,decreased FTH1,GPX4,xCT,SLC40A1,p62,and NRF2 contents,increased Keap1 content,and decreased mitochondrial membrane potential(P＜0.05).Conclusion BJJP regulates ferroptosis in Huh7 HCC cells by inhibiting the p62/Keap1/NRF2 pathway,demonstrating potentials as a therapeutic agent for HCC.

The implementation of Diagnosis-Related Group(DRG)payment has promoted the high-quality development of medical institutions and accelerated the performance reform of public hospitals.Taking a tertiary hospital in Shandong Province as an example,this study explores the use of digital platforms to leverage medical big data and constructs a multi-dimensional per-formance management model that integrates tools such as Resource-Based Relative Value Scale(RBRVS),DRG,Diagnosis In-tensity Payment(DIP),and Key Performance Indicators(KPI).This model organically integrates key indicators and synergisti-cally improves performance allocation schemes,enhances operational management indicators,improves hospital service efficien-cy,increases employee satisfaction,and stimulates intrinsic motivation among medical staff.This model embodies the public wel-fare nature of public hospitals and demonstrates a path towards high-quality development in hospitals.

[Objective] To investigate the clinical manifestations and explore the experience of diagnosis and treatment of spontaneous perirenal urine extravasation after urinary tract obstruction so as to improve the understanding of the disease. [Methods] The clinical data of 23 patients with spontaneous perirenal urine extravasation after obstruction treated at our hospital during 2018 and 2020 were retrospectively analyzed, including the primary diseases, clinical manifestations, imaging examination, treatment and prognosis. The key points of diagnosis and treatment were summarized. [Results] Of the 23 patients, there were 15 males and 8 females, with an average age of 43.4 years. These cases were diagnosed by imaging tests such as ultrasound, computed tomography urography (CTU) and CT. Ureteroscopic lithotripsy was performed in 3 patients with ureteral calculi, retrograde ureteral catheterization in 4 patients and percutaneous nephrostomy in 13 patients. Afterwards, a second phase surgery was performed based on the patients' condition. Of the 3 patients with tumor metastasis who underwent retrograde ureteral catheterization, 2 operation were successful, and 1 operation failed and then converted to nephrostomy and drainage under B-ultrasound localization. [Conclusion] CTU should be performed as soon as possible to make a definite diagnosis. Treatment can be achieved with ureteral retrograde catheterization or percutaneous nephrostomy to achieve local decompression, followed by secondary surgery to treat the primary cause of obstruction.

OBJECTIVE We have previously shown that inhibition of phosphodiesterase-4(PDE4)protects against neuronal damage in models of Parkinson's dis-ease(PD).However,the mechanisms have not yet been completely revealed.Here we aimed to elucidate the pharmacological effects and mechanisms of action of rof-lupram(ROF),an novel PDE4 inhibitor,in experimen-tal models of PD.METHODS The survival rate,apopto-sis rate and toxicity level of SH-SY5Y cells were deter-mined by MTT,flow cytometry and lactate dehydroge-nase detection kit.At the same time,LYT staining was used to detect the changes of lysosome fluorescence intensity:Western blotting was used to detect the changes of lysosome associated proteins,Sirtuin1 and α-Syn;NAD/NADH assay kit was used to determine the change of NAD content.To explore whether SIRT1 inhibitor(EX527)and lysosomal inhibitor could block the effect of ROF.In addition,ROT was used to stimulate C57BL/6J mice to construct a mouse model of PD to verify the effect and mechanism of ROF.The changes of motor function were evaluated by behavioral experiments(pole climb-ing,bar rotating and balance beam experiments).Super-oxide dismutase kit and Western blotting were used to detect the changes of SOD activity and expression of related proteins in substantia nigra.RESULTS We showed that pretreatment with ROF significantly attenu-ated cell apoptosis in ROT-treated SH-SY5Y cells.Fur-thermore,ROF significantly enhanced the lysosomal function,as evidenced by the increased levels of mature cathepsin D(CTSD)and lysosomal-associated mem-brane protein 1(LAMP1)through increasing NAD+/NADH and the expression of sirtuin 1(SIRT1).Pretreatment with an SIRT1 inhibitor selisistat(SELI,10 μ mol·L-1)attenuated the neuroprotection of ROF,and ROF-increased expression levels of LAMP1 and mature CTSD.Moreover,inhibition of CTSD by pepstatin A(20 μmol·L-1)attenuated the protective effects of ROF.In vivo study was conducted in mice exposed to ROT(10 mg·kg-1·d-1,ig)for six weeks;then,ROT-treated mice received ROF(0.5,1 and 2 mg·kg-1·d-1,ig)for four weeks.ROF significantly ameliorated motor deficits,which was accompanied by increased expression levels of tyro-sine hydroxylase,SIRT1,mature CTSD,and LAMP1 in the substantia nigra pars compacta.CONCLUSION Taken together,these results demonstrate that ROF exerts a neuroprotective action in PD models.The mech-anisms underlying ROF neuroprotective effects appear to be associated with NAD+/SIRT1-dependent activation of lysosomal function.

OBJECTIVE To investigate the anti-tumor effects of the components of Ganoderma lucidum(Gc) based on the two-dimensional(2D) and three-dimensional(3D) culture of colorectal cancer HCT116 cells. METHODS The chemical compositional of the three components was identified by UPLC-Q-TOF-MS. An in vitro 3D culture model of HCT116 cells was established by using Matrigel as the matrix material, and the effects of Gc1, Gc2, Gc3, and 5-fluorouracil(5-FU) on the proliferation of HCT116 cells in 2D and 3D culture models were evaluated, and the effects of Gc3 on cell-cycle, apoptosis, drug resistance, lipid metabolism, and 5-FU's anti-tumor activity were evaluated. Cell viability was detected by CCK-8 assay. mRNA expression level of the cells was analyzed by Real-time PCR. Proteins expression level of the cells was analyzed by Western blotting. HPLC was used to detect the content of 5-FU in cells. RESULTS A total of 76, 69, and 17 compounds were identified from Gc1, Gc2, and Gc3, respectively. Compared with 2D culture, the proliferation rate of HCT116 cells was decreased in the 3D culture model, and the expression of cell cycle-promoters CDK2, CDK4, CDK6, and fatty acid synthesizer FASN, SREBP1 were significantly down-regulated. On the contrary, the expression of cell cycle-suppressor p21, p27, and lipid droplet breakdown proteins ATGL and drug resistance gene ITGB1, CDH1, ABCB1, and ABCC1 mRNA were significantly up-regulated. Gc1, Gc2, Gc3 and 5-FU inhibited the proliferation of both 2D and 3D cultured HCT116 cells in a dose dependent manner after incubation for 48 h, and the inhibitory effect of Gc3 was significantly stronger than Gc1 and Gc2. Gc3 could not only reduce the expression of CDK2, CDK4, Bcl-xl, ATGL, and LC3B proteins, but also increase the expression of p21, p27, Bax, Cleaved caspase-3, and Cleaved PARP1 proteins, and overexpression of LC3B or ATGL attenuated Gc3-induced cytotoxicity in 3D cultured HCT116 cells. In addition, Gc3 significantly inhibited the expression of ITGB1, CDH1, ABCB1, and ABCC1 mRNA, and increased the intracellular 5-FU content, and enhanced the anti-tumor activity. CONCLUSION Gc3 significantly inhibit the proliferation of 3D-cultured HCT116 cells by inhibiting cell autophagy and lipid droplet breakdown, and enhance the anti-cancer activity of 5-FU by inhibiting the expression of ITGB1, CDH1, ABCB1, and ABCC1 mRNA.