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.

Diabetic kidney disease （DKD） stands as one of the most prevalent microvascular complications of diabetes，noted for its concealed onset and tendency to evolve into end-stage renal disease，profoundly impacting patients' life expectancy and quality of life. Epithelial-to-mesenchymal transition （EMT） is a central pathological process in the initiation and progression of DKD，facilitating disease advancement and renal fibrosis，thus representing a crucial focus of research into the pathological mechanisms of DKD. EMT is driven by the abnormal activation of signaling pathways，including transforming growth factor-β （TGF-β）/Smad，secreted glycoprotein/β-catenin，Notch，tumor necrosis factor-α （TNF-α）/nuclear factor-κB （NF-κB），and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR），leading to renal cellular injury and subsequently accelerating renal fibrosis and the progression of DKD. Traditional Chinese medicine （TCM），characterized by its multi-target and multi-pathway therapeutic approach，demonstrates unique advantages in addressing DKD and EMT. Recent research has shown that active ingredients in TCM，including glycosides，flavonoids，and polyphenols，as well as TCM formulas，can precisely target these relevant signaling pathways，effectively inhibiting cellular injury in DKD and intervening in the EMT process. These findings not only underscore the potential of TCM monomers and formulas in treating DKD and EMT but also pave new directions for research in this field within TCM. This paper systematically reviewed the signaling pathways associated with EMT and provided an in-depth analysis of the research achievements and underlying mechanisms of TCM monomers and formulas in treating DKD and intervening in EMT，aiming to offer new insights and directions for TCM in the treatment of DKD and research on EMT，thereby further promoting the modernization and development of TCM.

Objective:To explore the clinical and genetic etiology of a Chinese pedigree affected with type 2 Long QT syndrome (LQTS).Methods:A pedigree with type 2 LQTS presented at Fuwai Central China Cardiovascular Hospital on August 23, 2019 was selected as the study subject. Peripheral blood samples were collected from the proband and her parents. Following extraction of genomic DNA, whole exome sequencing (WES) was carried out for the proband, and candidate variant was screened through functional annotation and protein-protein interaction (PPI) analysis. Sanger sequencing was conducted to verify the pathogenicity of candidate variant. This study was approved by Medical Ethics Committee of the Fuwai Central China Cardiovascular Hospital (Ethics No. 2019-15).Results:WES revealed that the proband has harbored a missense variant of the KCNH2 gene, namely c. 1478A>G (p.Tyr493Cys), which was confirmed by Sanger sequencing to have inherited from her father. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was classified as likely pathogenic (PM2_supporting+ PM5+ PP3+ PP4). Conclusion:The KCNH2 gene c. 1478A>G (p.Tyr493Cys) variant probably underlay the type 2 LQTS in this pedigree.

Transarterial chemoembolization （TACE） is currently the primary treatment method for advanced liver cancer. This article elaborates on the current status of application of TACE in hepatocellular carcinoma from the aspects of existing techniques， patient selection， and efficacy assessment and summarizes the research advances and prospects of TACE combined with local treatment and systemic therapy， so as to provide new ideas for clinical practice and experimental studies.

BACKGROUND:Combined radiation and wound injury appeared mainly in patients with tumor radiotherapy and nuclear radiation accidents.The radiation destroys the repair mechanism,resulting in delayed or prolonged wound healing.It still lacks an effective therapeutic strategy currently. OBJECTIVE:To prepare multifunctional wound dressings based on the multiple clinical symptoms of combined radiation and wound injury,which are designed to be antibacteria,promoted healing and analgesics. METHODS:Using levofloxacin,fibroin and lidocaine hydrochloride as raw materials,3D bioprinting technology was applied to prepare the multifunctional wound dressing.(1)The multifunctional dressing was placed on a fixed culture plate coated with Staphylococcus aureus,Escherichia coli and Pseudomonas aeruginosa,and incubated at 37 ℃ overnight to detect the diameter of the antibacterial zone.(2)40 Kunming mice were randomly divided into trauma group,radiation and trauma model group,treatment group and positive drug group,with 10 mice in each group.Mice in the radiation and trauma model group,treatment group and positive drug group were irradiated by 60Co gamma rays.After 1 hour of radiation,a full-layer skin defect wound with a diameter of 1 cm was made on the back of each mouse in the four groups.Normal saline was applied to the wounds of the trauma group and the radiation and trauma model group.Trethanolamine cream was applied to the wounds of the positive drug group.Multifunctional dressing was applied to the wounds of the treatment group.The dressing was changed every 2 days,and the treatment was continued for 14 days.Wound healing rate and serum interleukin-6 level were measured at 3,7 and 14 days after wound modeling.14 days after the wound modeling,the skin tissue of the wound was obtained and received hematoxylin-eosin staining,Masson staining and cytokeratin-14 immunohistochemical staining. RESULTS AND CONCLUSION:(1)3D-printed multifunctional wound dressing had good antibacterial activity.The antibacterial zone diameters against Staphylococcus aureus,Escherichia coli and Pseudomonas aeruginosa were(4.15±0.09),(4.18±0.23)and(4.35±0.13)cm,respectively.(2)With the extension of modeling time,the wound healed gradually.The wound healing rate of the treatment group and the positive drug group was higher than that of the radiation and trauma model group at 3,7 and 14 days after modeling(P<0.01,P<0.001).The wound healing rate of the treatment group was higher than that of the positive drug group.With the extension of modeling time,the serum interleukin level of mice increased first and then decreased.The serum interleukin level in the treatment group at 3,7 and 14 days after modeling was lower than that in the radiation and trauma model group.Hematoxylin-eosin staining and Masson staining exhibited that inflammatory cells infiltrated the granuloma tissue in the trauma group,and the dermal collagen fibers were densely arranged.The normal structure of epidermis and dermis was destroyed and inflammatory cells were infiltrated in the radiation and trauma model group.In the treatment group,normal skin mucosal tissue was observed,the epidermis was arranged closely,and the sweat glands,hair follicles and dermal collagen fibers were arranged regularly.In the positive drug group,the arrangement of epidermal layer was tight,and the arrangement of sweat glands,hair follicles and dermal collagen fibers was regular.Cytokeratin-14 immunohistochemical staining displayed that the epidermal tissue thickness in the treatment group was lower than that in the other three groups(P<0.01,P<0.001).(3)The results confirm that the 3D-printed multifunctional dressing has multiple functions of local anesthesia,anti-infection and promoting healing.

Objective To explore the efficacy of unilateral biportal endoscopy(UBE)for lumbar intervertebral foramen stenosis combined with lumbar disc herniation through Sublamina approach.Methods From October 2021 to June 2022,7 elderly patients with typical symptoms of lumbar disc herniation in the intervertebral foramen area accompanied by spinal stenosis were retrospectively analyzed.There were 6 patients with lumbar disc herniation and nerve root canal stenosis at L4/5 and 1 patient at L5/S1.The mean course of disease was(8.6±2.5)months.All the patients were treated by UBE through Sublamina approach.Results Postoperative limb radicular symptoms of 7 patients were relieved.The visual analogue scale(VAS)of limb pain was significantly decreased from preoperative(8.6±1.3)to(2.1±1.1)at 2 d after the surgery(P<0.05),the Japanese Orthopaedic Association(JOA)score was significantly increased from preoperative(10.1±2.4)to(17.3±1.8)at 2 d after the surgery(P<0.05).Conclusion UBE for lumbar intervertebral foramen stenosis combined with lumbar disc herniation through Sublamina approach has a satisfactory therapeutic effect,providing a new idea for the surgical treatment of this disease.