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.

OBJECTIVES: To evaluate the osteogenic efficacy of three-dimensional printing individualized titanium mesh (3D-PITM) as a scaffold material in guided bone regeneration (GBR). METHODS: 1) Patients undergoing GBR for alveolar bone defects were enrolled as study subjects, and postoperative healing complications were recorded. 2) Postoperative cone beam computed tomography (CBCT) scans acquired at least 6 months post-surgery were used to calculate the percentage of actual bone formation volume. 3) Alveolar bone specimens were collected during the first-stage implant surgery for histomorphometric analysis. This analysis quantitatively measured the proportions of newly formed bone and newly formed unmineralized bone within the specimens. Specimens were categorized into three groups based on healing complications (good healing group, wound dehiscence group, 3D-PITM exposure group) to compare differences in the proportions of newly formed bone and newly formed unmineralized bone. RESULTS: 1) Twelve patients were included. Guided bone regeneration failed in one patient, and 3D-PITM exposure occurred in three patients (exposure rate: 25%). 2) The mean percentage of actual bone formation volume in the 11 successful guided bone regeneration cases was 95.23%±28.85%. 3) Histomorphometric analysis revealed that newly formed bone constituted 40.35% of the alveolar bone specimens, with newly formed unmineralized bone accounting for 13.84% of the newly formed bone. Intergroup comparisons showed no statistically significant differences (P>0.05) in the proportions of newly formed bone or newly formed unmineralized bone between the good healing group and the wound dehiscence group or the 3D-PITM exposure group. CONCLUSIONS 3D-PITM enables effective bone augmentation. Radiographic assessment demonstrated favorable bone formation volume, while histological analysis confirmed substantial formation of newly formed mineralized bone within the surgical site.
Humans ; Printing, Three-Dimensional ; Titanium ; Cone-Beam Computed Tomography ; Bone Regeneration ; Osteogenesis ; Surgical Mesh ; Tissue Scaffolds ; Alveolar Process/surgery* ; Adult ; Male ; Middle Aged ; Female ; Wound Healing ; Guided Tissue Regeneration, Periodontal/methods* ; Alveolar Bone Loss/surgery*

Modulating Tankyrases (TNKS), interactions with USP25 to promote TNKS degradation, rather than inhibiting their enzymatic activities, is emerging as an alternative/specific approach to inhibit the Wnt/β-catenin pathway. Here, we identified UAT-B, a novel neoantimycin analog isolated from Streptomyces conglobatus, as a small-molecule inhibitor of TNKS-USP25 protein-protein interaction (PPI) to overcome multi-drug resistance in colorectal cancer (CRC). The disruption of TNKS-USP25 complex formation by UAT-B led to a significant decrease in TNKS levels, triggering cell apoptosis through modulation of the Wnt/β-catenin pathway. Importantly, UAT-B successfully inhibited the CRC cells growth that harbored high TNKS levels, as demonstrated in various in vitro and in vivo studies utilizing cell line-based and patient-derived xenografts, as well as APC^min/+ spontaneous CRC models. Collectively, these findings suggest that targeting the TNKS-USP25 PPI using a small-molecule inhibitor represents a compelling therapeutic strategy for CRC treatment, and UAT-B emerges as a promising candidate for further preclinical and clinical investigations.

ObjectiveTo investigate the protective mechanism of Qianyang Yuyin granules （QYYY） on aldosterone-induced podocyte injury. MethodA total of 30 C57BL/6J mice were randomly divided into five groups： control group， model group， QYYY low dose （QYYY-L） group， QYYY high dose （QYYY-H） group， and spironolactone （SPL） group， with six mice in each group. Except for the control group， mice were implanted with osmotic minipumps and injected continuously with aldosterone （300 μg·kg^-1·d^-1） to induce renal injury. The drug administration group was given low and high doses （2.6， 5.2 g·kg^-1·d^-1） of QYYY and SPL （18 mg·kg^-1·d^-1） for 28 days. The renal pathological changes of mice were observed by hematoxylin-eosin （HE） staining and Masson staining. The expression levels of Nephrin， Desmin， B-cell lymphoma-2 （Bcl-2）， Bcl-2-associated X （Bax）， cleaved Caspase-3， nuclear receptor subfamily 3 group C member 2 （NR3C2）， extracellular regulated protein kinases （ERK）， and phospho-ERK （p-ERK） in kidney tissue were detected by Western blot. The apoptosis levels of kidney tissue were detected by TdT-mediated dUTP nick and labeling （TUNEL） staining， and the superoxide dismutase （SOD） levels were detected. In vitro， the mice were divided into five groups： Control group， model group （aldosterone concentration of 200 nmol·L^-1）， QYYY-L group， QYYY medium dose （QYYY-M） group， and QYYY-H group （25， 50， and 100 mg·L^-1）. The effect of different concentrations of QYYY on the relative viability of aldosterone-induced podocytes was detected by cell proliferation and viability assay （CCK-8）. The expressions of Nephrin， Desmin， Bax， Bcl-2， cleaved Caspase-3， NR3C2， and p-ERK/ERK were detected by Western blot. AnnexinV-FITC/PI flow cytometry was used to detect the apoptosis levels of podocytes. Reactive oxygen species （ROS） in podocytes were observed by DCFH-DA. ResultCompared with the control group， the model group showed structural pathological changes and fibrotic conditions in the kidney， increased apoptosis levels （P<0.01）， and decreased SOD levels （P<0.01）. Aldosterone concentration at 200 nmol·L^-1 showed a significant decrease in podocyte activity （P<0.05）. Podocytes in the model group showed structural pathological changes， disordered arrangement of intercellular microfilaments， increased apoptosis levels （P<0.01）， and increased intracellular ROS levels （P<0.01）. The protein expressions of Nephrin， Bcl-2， and p-ERK/ERK in kidney tissue and podocytes were decreased （P<0.05， P<0.01）. The protein expressions of Desmin， Bax， cleaved Caspase-3， and NR3C2 were increased （P<0.05， P<0.01）. Compared with the model group， QYYY alleviated the structural damage and fibrosis of the kidney， decreased the apoptosis levels （P<0.05， P<0.01）， and enhanced the SOD content of the kidney （P<0.05， P<0.01）. QYYY improved the activity of podocytes （P<0.05， P<0.01）， restored the foot process structure of podocytes， and decreased apoptosis levels （P<0.01） and ROS levels of podocytes （P<0.01）. The protein expressions of Nephrin， Bcl-2， and p-ERK/ERK in kidney tissue and podocytes were increased （P<0.05， P<0.01）， and the protein expressions of Desmin， Bax， cleaved Caspase-3， and NR3C2 were down-regulated （P<0.05， P<0.01）. ConclusionQYYY improves aldosterone-induced podocyte injury by regulating the NR3C2/ROS/ERK pathway.

Objective To explore the effect of glioma stem cells with high expression of protein tyrosin phosphatase receptor type Z1 (PTPRZ1 )on the phenotypic polarization and phagocytosis of tumor-associated macrophages and its regulatory mechanism.Methods GSCs and non-stem tumor cells (NSTCs) were screened out from human glioblastoma (GBM) specimens using flow cytometry,and the PTPRZ1 expression in paired GSCs and NSTCs were detected.Human peripheral blood mononuclear cells (PBMC)-derived CD14+monocytes were exposed to the conditioned medium from glioma cells or recombinant chemokine C-C motif ligand 20 (CCL20)for TAM polarization.Stable PTPRZ1 knockout GSCs (PTPRZ1-KO GSCs) were constructed using CRISPR/Cas9. TAM phagocytosis to GSCs,NSTCs,PTPRZ1-Control GSCs (PTPRZ1-Ctrl GSCs)and PTPRZ1-KO GSCs and the expression of immunosuppressive phenotype (M2) polarization marker CD163 were examined using flow cytometry.Differentially expressed genes (DEGs ) between paired GSCs and NSTCs were determined using a bulk RNA-sequencing dataset (GSE54791 )from Gene Expression Omnibus (GEO).A gene set informing worse outcome of patients with GBM was generated using The Cancer Genome Atlas (TCGA)-GBM cohort.By intersecting the aforementioned gene set with the gene set that encodes for human membrance proteins,the PTPRZ1 gene is obtained.Gene set enrichment analysis (GSEA)was used for pathway enrichment analysis to compare the differentially regulated pathways between GBMs with high or low PTPRZ1 expression.Bulk RNA sequencing,qRT-PCR and Western blotting were used to identify the DEGs between PTPRZ1-KO GSCs and PTPRZ1-Ctrl GSCs.Results GSCs were more capable of escaping from TAM phagocytosis than NSTCs (P<0.05 )and had specifically up-regulated PTPRZ1 expression.PTPRZ1-KO significantly suppressed GSCs escaping from TAM phagocytosis (P<0.01 ). GBMs with high PTPRZ1 expression showed significant inhibition of pathways mediating phagocytosis (P<0.05).The expression of CCL20 as a M2 TAM polarization chemokine was significantly down-regulated in PTPRZ1-KO GSCs (P<0.05 ).Treatment with recombinant CCL20 up-regulated the expression of CD163 as a M2 TAM marker in TAM.Conclusion PTPRZ1+GSCs mediate M2 TAM polarization and inhibit TAM phagocytosis,which may be related to the up-regulation of CCL20 in PTPRZ1+GSCs.

Objective:To explore Lijin Zhenggu Therapy combined with heat supplementing needles on cartilage damage, immune balance, and liver X receptor NF-κB in knee osteoarthritis of New Zealand white rabbits.Methods:Totally　60 New Zealand white rabbits were divided into normal group, model group, Lijin Zhenggu Therapy group, heat supplementing needles group, and a combination group using random number table method, with 12 rabbits in each group. Except for the normal group, all other groups were established with knee osteoarthritis models. The Lijin Zhenggu Therapy group was treated with Lijin Zhenggu Therapy, the heat supplementing needles group was treated with heat supplementing needles, the combination group was treated with Lijin Zhenggu Therapy combined with heat supplementing needles. The pain threshold of each group of white rabbits was observed using a pain meter; HE staining was used to observe the morphology of cartilage damage in each group of white rabbits; ELISA was used to detect PGE 2, IL-1β and β-EP in the articular cartilage tissue of white rabbits in each group; PCR was used to detect the levels of LXRα and NF-κB mRNA. Western blot was used to detect toll like receptor 4 (TLR4), myeloid differentiation factor (MyD88), interferon regulatory factor-7 (IRF-7) in synovial tissue of rabbits in each group. Results:Compared with model group, the pain threshold of rabbits in heat supplementing needles group, Lijin Zhenggu Therapy group and combination group increased ( P<0.05); the levels of PGE 2 and IL-1β decreased ( P<0.05), while the level of β-EP increased ( P<0.05). LXRα mRNA level increased ( P<0.05), and NF-κB mRNA level decreased ( P<0.05); the expressions of TLR4, MyD88, IRF-7 and NF-κB P65 in synovial tissue decreased ( P<0.05). Conclusions:Lijin Zhenggu Therapy combined with heat supplementing needles can reduce the levels of PGE 2 and IL-1β, increase β-EP level, improve pain and cartilage tissue morphology. The mechanism may be related to the regulation of liver X receptor nuclear factor NF-κB pathway, reduction of inflammatory reactions and immunity maintaining.