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.

AIM: To evaluate the effects of 3% diquafosol ophthalmic solution(DQS)on the ocular surface and tear film in adolescents with mild dry eye syndrome during the early stage of wearing orthokeratology lenses.METHODS: Prospective study. Totally 60 myopic adolescents(120 eyes)with mild dry eye syndrome who were fitted with orthokeratology lenses for the first time in our hospital from January 2023 to September 2023 were enrolled in this study. They were randomly divided into control group and observation group. Both groups wore the same brand of orthokeratology lenses for 8-9 h a day and 7 d a week. In the control group(30 cases, 60 eyes), the patients were treated by routine eyelid cleaning and warm compresses from the day of fitting. In addition to the control group's treatment, patients in the observation group(30 cases, 60 eyes)were given DQS 6 times a day for 3 mo, and follow-up for 6 mo after discontinuation of DQS. According to the follow-up requirements of orthokeratology lens, uncorrected visual acuity(UCVA), corneal curvature, corneal topography, and corneal fluorescein staining were rechecked. The ocular surface disease index(OSDI)scores, tear meniscus height(TMH)of lower eyelid, non-invasive tear film break-up time [first and average, NIBUT(f)and NIBUT(av)] and corneal fluorescein staining were measured at baseline, 1, 2 and 3 mo after treatment, and 3 and 6 mo after DQS discontinuation.RESULTS: All patients completed follow-up. The NIBUT(f), NIBUT(av)and TMH of lower eyelid in the observation group were higher than those in the control group at 2 and 3 mo after treatment and at 3 and 6 mo after discontinuation of DQ3(all P<0.05). The OSDI scores for both groups decreased significantly at 2 mo after treatment(all P<0.05). At 3 mo after treatment and 3 and 6 mo after discontinuation of DQS, the OSDI scores in the observation group was significantly lower than the control group(all P<0.01). There was no significant difference of corneal fluorescein staining between the two groups(P=0.731).CONCLUSION: The combination of DQS with eyelid hygiene and warm compresses shows better efficacy in enhancing the stability of the tear film for adolescents with mild dry eye syndrome while wearing orthokeratology lenses.

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.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective:To evaluate the effect of transcutaneous electrical acupoint stimulation (TEAS) on postoperative fatigue syndrome in patients with Parkinson′s diseases undergoing bilateral deep brain electrical stimulation.Methods:Sixty patients with Parkinson′s disease, aged 60-80 yr, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, with body mass index of 18.5-29.9 kg/m 2, undergoing elective bilateral deep brain electrical stimulation, were divided into transcutaneous electrical acupoint stimulation group (TEAS group) and sham stimulation group (Sham group), with 30 patients in each group, using the random number table method. The TEAS of bilateral Zusanli and Sanyin points was performed on admission to the operating room with alternative stimulation at a frequency of 2/10 Hz and an intensity of 6-15 mA. The stimulation was stopped when the neurosurgeon performed the microelectrode recording, and TEAS was continued until the end of operation after the microelectrode recording was finished. In Sham group, electrode pads were only placed at the acupoint with no stimulation. The Christensen score was assessed at 1 day preoperatively (T 0) and 1, 3 and 7 days postoperatively (T 1-3) to evaluate the occurrence of postoperative fatigue syndrome. The 15-item Quality of Recovery scale score, emergence agitation and rescue analgesia within 48 h after surgery were recorded. Results:Compared with Sham group, Christensen scores were significantly decreased at T 1-3, 15-item Quality of Recovery scale scores were increased, and the incidence of postoperative fatigue syndrome and emergence agitation and rate of rescue analgesia were decreased in TEAS group than in Sham group ( P<0.05). Conclusions:TEAS can reduce the development of postoperative fatigue syndrome in the patients with Parkinson′s diseases undergoing bilateral deep brain electrical stimulation.

Autophagy is an intracellular degradation process that delivers cytoplasmic constituents to the lysosome. Abnormality of autophagy is related to many human diseases, which provides a new clue to the pathophysiology of human cancer. However, the role of autophagy in normal liver physiology and the pathogenesis of liver diseases need to be further clarified. This article reviews the role of autophagy in the occurrence and development of hepatocellular carcinoma and the molecular mechanisms.

Objective:To explore the key pathways and genes involved in microglia inflammation through transcriptome sequencing and bioinformatics analysis.Methods:BV2 cells were stimulated by lipopolysaccharide to establish microglia inflammation model. The levels of IL-6 and TNF-α were detected by ELISA and RT-qPCR. The established microglia inflammation model was sequenced by transcriptome sequencing, and the differentially expressed genes were screened by bioinformatics method. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of differentially expressed genes were performed. The protein-protein interaction network of differentially expressed genes was constructed by using string database, and the protein-protein interaction network was visualized by using Cytoscape software. The protein interaction network module was extracted by using MCODE app. The hub gene was extracted by using cytohubba app and was verified through RT-qPCR. We conducted enrichment analysis of hub genes, predicted their targeted miRNAs and interacting drugs.Results:The microglia inflammation model was successfully established and verified by ELISA and RT-qPCR. We screened 434 differentially expressed genes by bioinformatics analysis of transcriptome sequencing results. GO analysis showed that these differentially expressed genes were mainly concentrated in cellular response to cytokine stimulus, inflammatory response, regulation of response to external stimulation. KEGG analysis showed that these differentially expressed genes were mainly concentrated in Chemokine signaling pathway, TNF signaling pathway, IL-17 signaling pathway. We constructed the protein interaction network of these differentially expressed genes, and carried out module analysis and extraction of hub genes. Most of hub genes are located in module 1, and the seed gene of module 1 is S1pr1. Hub genes include S1pr1, Cxcr4, Cx3cl1, Cx3cr1, Cxcl10, Cxcl2, Ccl4, Ccl5, Ccl9, Fpr1. RT-qPCR results showed that compared with the culture medium group, the mRNA expressions of S1pr1, Cxcr4, Cx3cl1 and Cx3cr1 were down-regulated, and the mRNA expressions of Cxcl10, Cxcl2, Ccl4, Ccl5, Ccl9 and Fpr1 were up-regulated in the LPS group. The enrichment analysis of hub genes mainly focused on chemokine-mediated signaling pathway, Class A/1 (Rhodopsin-like receptors), cell chemotaxis and so on. Drugs and miRNAs that may interact with hub genes were predicted. Conclusion:Through transcriptome sequencing and bioinformatics analysis of microglia inflammation model, differentially expressed genes were screened, hub genes and seed genes were extracted, which will help us further understand the molecular mechanism of microglia inflammation and provide potential targets for the treatment of related diseases.