Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

Objective To explore the communication preferences for advance care planning(ACP)among elderly hospitalized patients and to provide references for improving the ACP implementation rate.Methods Convenience sampling was used to select elderly hospitalized patients from a tertiary hospital in Wenzhou City between April and November 2023.Face-to-face surveys were conducted using a general data collection form and a self-designed questionnaire on ACP communication preferences.Mixed Logit Model,willingness-to-pay analysis,relative importance analysis,and subgroup analysis were employed to explore preferences.Results 204 questionnaires were distributed and 200 valid questionnaires were recovered,with a valid questionnaire response rate of 98.04％.The Mixed Logit Model analysis indicated that key attributes-communication timing,communication form,family participation in ACP communication,legal validity of ACP documents,and out-of-pocket costs-significantly influenced preferences(P＜0.05).Willingness-to-pay analysis showed that changes in communication timing,communication form,and family participation altered patients' willingness to pay.Relative importance analysis ranked the top 3 attributes as commu-nication timing,communication form,and family participation.Subgroup analysis revealed that gender,education level,and residence location affected preferences(P＜0.05).Conclusion Key attributes of ACP communication affect elderly hospitalized patients' preferences and willingness to pay,with variations across subgroups.Healthcare professionals should develop optimal communication programs based on patient preferences and individual characteristics.

A disintegrin and metalloproteinase with thrombospondin-like motifs (ADAMTS) represent a diverse family of secreted metalloproteinases, comprising 19 distinct members categorized into five groups based on their substrate specificity: proteoglycanases, procollagen N-peptidases, von Willebrand factor-cleaving protease, cartilage oligomeric matrix proteases and other proteases. Among these, ADAMTS proteoglycanases predominantly target hyalectans, pivotal components in extracellular matrix (ECM) remodeling and inflammation. Dysfunction of ADAMTS proteoglycanases disrupts the structure and function of hyalectans, thereby perturbing ECM homeostasis, resulting in reproduction disorders, including abnormal follicular development, ovulation dysfunction, impaired implantation, placentation and preterm labor. Hence, investigation of the role of ADAMTS proteoglycanases offers valuable insights into the molecular mechanisms underlying the physiological or pathological processes within the female reproductive system, thereby paving the way for innovative strategies in predicting, preventing and treating reproductive system diseases. This review summarizes the recent research advances in the structure and regulation of ADAMTS proteoglycanases and their role in female reproductive system.
Humans ; Female ; ADAMTS Proteins/physiology* ; ADAM Proteins/physiology* ; Pregnancy ; Animals ; Genitalia, Female/enzymology* ; Extracellular Matrix/metabolism*

This research aims to construct a stable epithelial cell senescence model for screening and e-valuation of senolytics.We explored the optimal conditions for doxorubicin-induced senescence of non-transformed epithelial cells MCF 10A,including the optimal induction concentration,the optimal inter-vention time,and the optimal senescence duration,and confirmed the feasibility of MCF 10A as an epi-thelial senescence model by multiple ways.The optimal condition for Doxorubicin-induced senescence of MCF 10A cells was treatment with 0.6 μmol/L Doxorubicin for 16 h to achieve the best senescence state on the 8th day.Under the optimal induction conditions,the positive rate of senescence-associated β-gal-actosidase(SA-β-gal)staining in the treated group reached 97％.At the same time,biochemical results of detecting the expression of mRNA,proteins,and immunofluorescence demonstrated that the expression levels of senescence-associated secretory phenotype(SASP),p16,p21 and p53 in the treated group were significantly higher than those in the control cells,and Lamin B1 was significantly decreased(P＜0.001),which were consistent with the specific characteristics of senescence.In summary,an epithelial senescence model was successfully induced in MCF 10A cells by Doxorubicin in this study,which will promote the screening of senolytics for senescent epithelial cells.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

ObjectiveTo improve the efficacy of Astragalus membranaceus (Fisch.) Bunge (A. membranaceus, Huang Qi), and to further develop and utilize it, fermentation technology was applied to the stem and leaf of A. membranaceus to enhance its immune function.MethodsIn this study, we fermented A. membranaceus stem and leaf (ASL) with probiotics and investigated its immune function. Firstly, we screened suitable strains for ASL fermentation and optimized the fermentation process. Secondly, we determined the antioxidant capacity of fermented ASL and its effect on inflammation in mouse monocyte-macrophage cell. Finally, the immunocompromised mice were treated with fermented ASL to investigate the changes in their immune ability.ResultsAmong the 10 selected probiotics, Lactobacillus plantarum was the most suitable strain for ASL fermentation. After optimization of the fermentation process, the content of saponins in fermented ASL was significantly increased. The fermented ASL exhibited strong anti-inflammatory and antioxidant activities in vitro. The in vivo immune efficacy improved by promoting the development of the spleen and thymus, as well as raising the immunoglobulin M, tumor necrosis factor-α, and interleukin-1β levels of in the serum.ConclusionThis study contributes to developing the non-medicinal parts of A. membranaceus, expands its medicinal resources, highlights the potential of fermentation technology to enhance these parts, and provides a reference for further development. Based on this approach, we can promote using non-medicinal parts of herbal medicines, minimize drug waste, and offer a reference for developing non-medicinal components in Chinese herbal medicines.

Objective To explore the clinical effect of totally laparoscopic total gastrectomy combined with hand-sewn esophagojejunos-tomy for gastric cancer.Methods Ninety cases of gastric cancer patients were seleted,of which 45 cases undergoing Roux-en-Y esophagoje-junostomy for digestive tract reconstruction were set as the control group,while 45 cases undergoing hand-sewn esophagojejunostomy for digestive tract reconstruction were set as the observation group.Patients in the control group underwent laparoscopic-assisted total gastrectomy combined with Roux-en-Y esophagojejunostomy to reconstruct digestive tract,while patients in the observation group underwent totally laparoscopic total gastrectomy combined with hand-sewn esophagojejunostomy to reconstruct digestive tract.The perioperative indicators and complications of patients in the two groups were compared.Results The surgical time,time of esophagojejunostomy,and time to get out of bed after surgery of patients in the observation group were significantly shorter than those in the control group(P<0.05),the pain score 24 hours after surgery was significantly lower than that in the control group(P<0.05).There was no statistically significant difference between the two groups in terms of the incidence of complications or Clavien-Dindo grading(P>0.05).Conclusion Hand-sewn esophagojejunostomy for digestive tract reconstruction has a good clinical effect in gastric cancer during totally laparoscopic total gastrectomy.It can shorten the surgical time and time of esophagojejunostomy,reduce postoperative pain,and accelerate postoperative recovery,whose safety is comparable to Roux-en-Y esophagojejunostomy.

Objective:To establish and evaluated a logistic regression model for predicting the acute biliary pancreatitis (ABP) based on liver-injury related indexes.Methods:Clinical data of 210 patients diagnosed with acute pancreatitis (AP) at the Affiliated Hospital of Jiangnan University from October 2020 to December 2022 were retrospectively analyzed, including 113 males and 97 females, with a median age of 52 years (range, 43 to 58). Among these, 88 were diagnosed with ABP and 122 with acute non-biliary pancreatitis (ANBP). Additionally, a test cohort was created using data from 101 AP patients diagnosed between January and December 2023, including 60 males and 41 females, with a median age of 53 years (range, 43 to 63). Based on the original dataset, univariate and multivariate logistic regression analyses were conducted to identify the factors influencing ABP. A prediction probability formula (Pre) was then established based on the multivariate results. The effectiveness of each indicator in predicting ABP was evaluated using the receiver operating characteristic (ROC) curve. The ROC curve analysis determined the optimal cutoff value of Pre, which was subsequently used to diagnose ABP and ANBP in the test cohort.Results:Multivariate logistic regression analysis showed the factors influencing ABP include direct bilirubin (DBIL), alanine aminotransferase (ALT), aspartate aminotransferase (AST), cholinesterase (CHE), and fibrinogen (FIB). Based on the multivariate analysis results, the prediction probability formula (Pre) for ABP was established as follows: P=1/{1+ exp[-(4.807+ 0.134×DBIL-1.859×AST/ALT-0.0003×CHE-0.387×FIB)]}. ROC curve analysis revealed that the area under the curve (AUC) for Pre in predicting ABP was 0.858, with an optimal cutoff value of 0.56, at which the sensitivity was 69.3% and the specificity was 91.0%. Using the cutoff value of 0.56 for Pre, ABP was diagnosed when Pre≥0.56 and ANBP was diagnosed when Pre<0.56. This criterion was applied to diagnose patients in the test cohort, where the sensitivity and specificity of Pre for diagnosing ABP were 86.1% and 92.3%, respectively.Conclusion:The logistic regression model based on liver injury-related indicators is a valuable tool for clinically assessing the incidence of ABP.

Objective:To analyze the changes of serum metabolites in patients with acute pancreatitis (AP) by non-targeted metabolomics method.Methods:Serum samples and clinical data of 15 AP patients hospitalized in the Affiliated Hospital of Jiangnan University from August to September 2024 were collected and included in the AP group, including 9 males and 6 females, aged (55.4±15.3) years. The serum and clinical data of 25 patients with colon polyps in the same hospital during the same period of time were collected, including 15 males and 10 females, aged (61.2±11.5) years, and were included in the control group. Serum metabolomic detection was performed using the ultra-high performance liquid chromatography tandem Fourier transform mass spectrometer. The modeling method was orthogonal partial least square discriminant analysis, and principal component analysis was performed on the data matrix to screen the differential metabolites in serum of AP patients. The Kyoto Encyclopedia database of Genes and Genomes was used to annotate differential metabolites, and the pathway of differential metabolite enrichment was analyzed by software.Results:The principal component analysis showed that the contribution ratio of the first principal component was 15.1%, the proportion of the second principal component was 10.8%, and the total proportion of the two was 25.9%. In principal component analysis, two groups of samples can be clearly distinguished and show obvious clustering characteristics. According to the analysis of OPLS-DA model, there were significant differences in serum metabolic profiles between AP group and control group. There were 683 differentially expressed metabolites between the two groups, with 367 differentially expressed metabolites up-regulated compared with the control group and 316 differentially expressed metabolites down-regulated compared with the control group. It is mainly Phosphatidic Acid (Lte4/8: 0) (+ 218%), Omeprazole Sulphone (-38%), and 2-(Propylthio) Nicotinic Acid (2-propyl thionicotinic acid) (-58%), Gein (salicyricetin) (-47%) and so on. Pathway enrichment analysis showed that the differential metabolites in AP patients were mainly concentrated in citric acid cycle, arginine biosynthesis and glycerophospholipid metabolism pathways.Conclusion:Serum metabolites in AP patients change significantly, including citric acid cycle, arginine biosynthesis, glycerophospholipid metabolism.

Objective:To investigate the clinicopathological and molecular genetic characteristics of diffuse gliomas with the features of polymorphous low-grade neuroepithelial tumor of the young (PLNTY) and their prognostic values.Methods:A retrospective analysis was performed on 14 cases of diffuse gliomas with PLNTY features diagnosed at the First Affiliated Hospital of Fujian Medical University, Fuzhou, China from June 2020 to August 2024. Their clinicopathological characteristics were examined, and their molecular genetic and epigenetic features were assessed using next-generation sequencing (NGS) and methylation analysis. Factors influencing prognosis were also analyzed.Results:Among the 14 patients, there were 8 males and 6 females, aged 3-62 years, median 29 (9, 50) years. All cases were initially diagnosed as low-grade diffuse gliomas histologically but exhibited the histological and immunohistochemical features of PLNTY. At the molecular level, all cases showed molecular abnormalities involving the mitogen-activated protein kinase pathway, including 5 cases with FGFR3-TACC3 (F3T3) fusion, 3 cases with FGFR2 fusion, 5 cases with BRAF V600E mutation, and 1 case with FGFR1 mutation. Among them, TERT promoter mutations were frequently observed in tumors with F3T3 fusion (5/5), while NCOR2 in-frame insertion mutations were prominent in tumors with non-F3T3 fusions. Clinical follow-up showed recurrence in 3 cases, all of which had F3T3 fusion and concurrent TERT promoter mutations. Prognostic analysis confirmed that F3T3 fusion with concurrent TERT promoter mutation was associated with poor prognosis.Conclusions:Diffuse gliomas with PLNTY features exhibit heterogeneity in clinicopathology and molecular genetics, with FGFR3/FGFR2 fusions and BRAF/FGFR1 mutations as the most common molecular alteration. They often have concurrent F3T3 fusion and TERT promoter mutations, which are related to poor prognosis. The possibility of molecular glioblastoma should be considered for these tumors. It is thus recommended to perform genetic testing on diffuse gliomas with PLNTY features in order to facilitate integrated diagnosis and provide molecular evidence for accurate evaluation of prognoses.