Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Objective To describe the clinical features of patients with primary sclerosing cholangitis(PSC)in China based on a nationwide multicenter patient cohort,and to investigate the risk factors for prognosis.Methods A retrospective cohort study was conducted among the patients with a confirmed diagnosis of PSC based on the electronic medical record system of seven grade A tertiary hospitals across the country,and related data were extracted.The Mann-Whitney U test was used for comparison of continuous data between groups,and the chi-square test was used for comparison of categorical data between groups.The Kaplan-Meier method was used to estimate liver transplant-free survival,and the log-rank test was used for comparison of survival rate between PSC patients with different features.The Cox regression model was used to identify independent risk factors for the prognosis of PSC patients and the interactions between key factors.Results A total of 107 patients were enrolled,among whom 55.6%(55/99)had large-duct PSC and 29.0%(31/107)had comorbidity with inflammatory bowel disease(IBD).The positivity rate of anti-neutrophil cytoplasmic antibody(ANCA)was 32.9%(24/73),and 50.0%(40/80)of the patients had an increase in IgG/IgM.The median symptom-to-diagnosis interval was 1 year(<1-4.0),and 38.3%(41/107)of the patients had progressed to decompensated cirrhosis at the time of diagnosis.The median liver transplant-free survival time was 114 months(95%confidence interval[CI]:62-166),with a 5-year survival rate of 65.7%.The multivariate analysis showed that an increase in total bile acid(TBA)(hazard ratio[HR]=1.006,95%CI:1.002-1.010,P=0.001)and a prolonged symptom-to-diagnosis interval(HR=1.252,95%CI:1.059-1.480,P=0.009)were independent risk factors for prognosis.The interaction analysis showed that compared with the female patients with TBA<50 μmol/L,both male and female patients with TBA≥50 μmol/L had a significant increase in the risk of liver transplantation or death(male:HR=16.563,95%CI:2.103-130.449,P<0.001;female:HR=17.009,95%CI:2.113-136.934,P<0.001),and compared with the patients with an age of<45 years and a TBA level of<50 μmol/L,the patients with an age of≥45 years and a TBA level of≥50 μmol/L had a significant increase in the risk of liver transplantation or death(HR=10.729,95%CI:1.325-86.859,P=0.026).Compared with the female patients with an symptom-to-diagnosis interval of≤2 years,the male patients with a symptom-to-diagnosis interval of>2 years had an increased risk of liver transplantation or death(HR=4.825,95%CI:1.725-13.644,P=0.003),and compared with the patients with an age of<45 years and a symptom-to-diagnosis interval of≤2 years,the patients with an age of<45 years and a symptom-to-diagnosis interval of>2 years had an increased risk of liver transplantation or death(HR=4.983,95%CI:1.366-18.173,P=0.015).Conclusion Compared with the reports from Western countries,large-duct PSC is also the main type of PSC in China,but with a relatively low proportion,and there is also a relatively low proportion of patients with IBD or positive ANCA.An increase in TBA and a prolonged symptom-to-diagnosis interval are independent risk factors for prognosis,with significant interactions with age and sex.This suggests that early screening and intervention should be enhanced to improve prognosis.

Objective:To investigate the effects of sampling methods on pathological assessment of resected non-small cell lung cancer (NSCLC) specimen with tumor maximum diameter >3 cm after neoadjuvant therapy.Methods:NSCLC patients with a large tumor (diameter >3 cm) that were resected after neoadjuvant therapy from June 2020 to July 2023 were retrospectively collected in the Department of Pathology, Shanghai Pulmonary Hospital, Shanghai, China. Sampling methods of the tumor bed were performed in accordance with the international and Chinese experts recommendations for resection specimens following neoadjuvant therapy (recommended sampling method, RSM), and all remaining tumor bed lesions were completely sampled after recommended sampling (complete sampling method, CSM). The difference of pathological response assessment of residual viable tumor (RVT) between RSM and CSM was examined.Results:A total of 90 cases were identified and analyzed, including 39 cases of squamous cell carcinoma and 51 cases of adenocarcinoma, treated with neoadjuvant therapy including chemotherapy in 22 cases (24.4%), targeted therapy in 14 cases (15.6%), and chemoimmunotherapy in 54 cases (60.0%). There were 62 males and 28 females with an average age of (62.7±17.9) years. The average tumor maximum diameter was 4.3 cm (range, 3.1-8.0 cm). The average number of sampled blocks was 8 blocks (range, 5 to 16) and 15 blocks (range, 8 to 36) per case by RSM and CSM, respectively. According to the definition of major pathological response (MPR) in which RVT is ≤10%, the numbers of patients with MPR were 34 cases by RSM and 30 cases by CSM, respectively. Four cases showed inconsistent RVT between the two methods, including one case of squamous cell carcinoma and three cases of adenocarcinoma. The RVT of the four inconsistent cases was 7%, 7%, 5% and 9% (MPR by RSM), and 15%, 15%, 15% and 20% (non-MPR by CSM), respectively. The kappa values of MPR consistency evaluated by the two sampling methods were 0.893 for all cases, 0.906 for squamous cell carcinoma cases and 0.751 for adenocarcinoma cases. According to MPR cut-off of 65% for invasive primary adenocarcinoma, 24 cases and 20 cases achieved MPR by RSM and CSM, respectively. Of the four inconsistent cases, the RVT by RSM was 60% in three cases and 65% in one case (MPR), whereas the RVT by CSM was 70% in three cases and 75% in one case (non-MPR). The kappa value of the two sampling methods was 0.741.Conclusions:There is high consistency between RSM and CSM in the pathological assessment of post-treatment responses in resected NSCLC specimens with tumor maximum diameter larger than 3 cm. When the percentage of RVT cells is close to MPR, re-evaluation of the specimen is required and CSM may be necessary to accurately evaluate the degree of pathological remission, assist in clinical postoperative treatment, and predict patient prognosis.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

AIM To investigate effects of petroleum ether fraction from Derris eriocarpa How on glucose and lipid metabolism in a mouse model of metabolic syndrome(MS).METHODS KM mice were fed a high-fat diet and administered streptozotocin intraperitoneally to establish MS models.The MS mice were then randomly assigned to the model group,the metformin hydrochloride group,the lovastatin group,the ursolic acid group,and the high-,medium-and low-dose D.eriocarpa petroleum ether fraction groups,with 10 mice in each group.Ten additional mice maitained on a normal diet served as the normal control group.After 4 weeks of intragastric administration,glucose and lipid metabolism indicators were measured.Hepatic pathological changes were assessed using HE staining and oil red O staining.Liver tissue mRNA expressions of ATF3,PEPCK,FXR,CYP7A1,HNF4ɑ,CYP8B1 and SRB1 were quantified by RT-qPCR.Hepatic protein expressions of ATF3,HNF4ɑ,PEPCK,FXR and CYP7A1 was analyzed by Western blot in MS mice.RESULTS Compared to the model group,the high-dose D.eriocarpa petroleum ether fraction group exhibited significant glucose tolerance improvement(reduced OGTT-AUC,P＜0.01);favorable serum lipid modulation in terms of increased HDL-C levels(P＜0.01)and decreased TG,TC,LDL-C(P＜0.01);reduced renal biomarkers(BUN,SCR)and hepatotoxic indicators of TBA,AST and ALT activities(P＜0.01);alleviated hepatic lipid accumulation and histopathological damage;downregulated mRNA and protein expressions of ATF3,HNF4ɑ and PEPCK,as well as CYP8B1 mRNA expression(P＜0.01);and upregulated mRNA and protein expressions of FXR and CYP7A1,along with SRB1 mRNA expression(P＜0.01).CONCLUSION D.eriocarpa petroleum ether fraction ameliorates glucose and lipid metabolism dysregulation in MS mice by modulating the ATF3/HNF4ɑ/CYP7A1 signaling pathway,consequently eliciting hypoglycemic,hypolipidemic,hepatoprotective and nephroprotective effects.

[Purpose]To analyze the incidence and changing trends of elderly breast cancer(de-fined as diagnosis at age ≥ 60 years old)in China and globally from 1990 to 2021,and to predict its trends from 2022 to 2035.[Methods]Data on the number of new cases and crude incidence rate of elderly breast cancer in China and globally were extracted from the 2021 Global Burden of Disease Study(GBD)database.The age-standardized incidence rate(ASIR)was calculated by sex and age group.The Joinpoint regression model was used to calculate the annual percentage change(APC)and average annual percentage change(AAPC),to describe the incidence trend of elderly breast cancer from 1990 to 2021.The Bayesian age-period-cohort(BAPC)model was applied to predict the incidence of elderly breast cancer from 2022 to 2035.[Results]From 1990 to 2021,the number of new breast cancer cases among elderly individuals globally increased from 416 444 to 1 023 776,while in China,the number rose from 26 371 to 158 085.The ASIR increased from 89.04/105 to 94.73/105 globally and from 27.24/105 to 58.40/105 in China.By sex,the ASIR of el-derly females increased from 155.19/105 to 170.54/105 globally and from 49.13/105 to 106.00/105 in China;the ASIR of elderly males increased from 2.78/105 to 4.72/105 globally and from 1.69/105 to 6.81/105 in China.By age group,from 1990 to 2021,the incidence rates of breast cancer in elderly female and male both peaked in the age group of 85～89 years old globally.In China,the most significant increases in incidence rates were observed in the age group of 60～64 years old for elderly females and the age group of 70～74 years old for elderly males;these two age groups had the highest incidence rates in their respective sexes in 2021.Joinpoint analysis showed that the ASIR of elderly breast cancer in China presented a continuous upward trend from 1990 to 2021(AAPC=2.51％),with the fastest growth during 2016-2019(APC=5.14％).The global ASIR showed only a slight fluctuating upward trend(AAPC=0.20％),with significant increases only during 1990-1995 and 2003-2010.Predictions from the BAPC model indicated that by 2035,the global ASIR of elderly breast cancer would reach 107.84/105(192.26/105 for females and 6.02/105 for males),while the ASIR in China would reach 104.35/105(188.08/105 for females and 13.32/105 for males).[Conclusion]From 1990 to 2021,the incidence of elderly breast cancer showed an upward trend both in China and globally,with a particularly pronounced increase in elderly male.The disease burden of elderly breast cancer in China is expected to continue increasing in the future,necessi-tating strengthened primary and secondary prevention measures,as well as optimized screening programs for the elderly population to reduce disease risks and improve prognosis.

OBJECTIVE To analyze the blood components of Suanzaoren Decoction after oral administration using UHPLC-Q Exactive Orbitrap-MS technology.METHODS Female Sprague-Dawley(SD)rats were used as experimental subjects,and Suanza-oren Decoction was administered orally.Serum samples were collected,and the aqueous extract of Suanzaoren Decoction and the serum were analyzed using UHPLC-Q Exactive Orbitrap-MS technology to identify the prototype components and metabolites absorbed into the blood by comparing and analyzing with the LuMet-TCM database.RESULTS It showed that a total of 458 components were iden-tified in the aqueous extract of Suanzaoren Decoction,and 26 chemical components were identified in the blood,including 23 prototype components and 3 metabolites.CONCLUSION The prototype components absorbed into the blood discovered in this study may be the active ingredients of Suanzaoren Decoction,providing a reference for the research on the pharmacodynamic material basis of Suanza-oren Decoction.

Objective To construct an XGBoost predictive model using clinical characteristic data from patients with chronic obstructive pulmonary disease(COPD)and evaluate the efficacy of the predictive model in early risk prediction of lung cancer occurrence in COPD patients.Methods In this retrospective cross-sectional study,cluster sampling was used.We selected clinically diagnosed COPD patients admitted to The Second Affiliated Hospital of Xi'an Jiaotong University from January 1,2018,to December 31,2022.A total of 4 008 patients with complete data were included.First,the baseline of each characteristic was analyzed,and then XGBoost was used to construct the lung cancer risk prediction model for COPD patients,and SHAP(SHapley Additive exPlanation)value was used to quantify and attribute the importance of each characteristic.DC A curve was used to evaluate the clinical application value.Results After constructing a lung cancer risk model for COPD patients using 28 variables,eight variables were selected according to the importance of the variables and clinical experience,and the prediction model was reconstructed.The model efficacy in the training set and the test set was 0.948(0.938,0.958)and 0.797(0.738,0.856),respectively.SHAP diagram showed that elevated CEA,CA125,FIB,eosinophils,PLT and D-dimer and reduced TT all contributed to an increased risk of lung cancer in COPD patients.DCA curve showed that the prediction model had clinical application value,which could help doctors make more accurate prognosis prediction and treatment decisions.Conclusion The successful establishment of an XGBoost predictive model,utilizing a subset of features,enables early prediction of lung cancer occurrence in COPD patients.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

OBJECTIVE To analyze the blood components of Suanzaoren Decoction after oral administration using UHPLC-Q Exactive Orbitrap-MS technology.METHODS Female Sprague-Dawley(SD)rats were used as experimental subjects,and Suanza-oren Decoction was administered orally.Serum samples were collected,and the aqueous extract of Suanzaoren Decoction and the serum were analyzed using UHPLC-Q Exactive Orbitrap-MS technology to identify the prototype components and metabolites absorbed into the blood by comparing and analyzing with the LuMet-TCM database.RESULTS It showed that a total of 458 components were iden-tified in the aqueous extract of Suanzaoren Decoction,and 26 chemical components were identified in the blood,including 23 prototype components and 3 metabolites.CONCLUSION The prototype components absorbed into the blood discovered in this study may be the active ingredients of Suanzaoren Decoction,providing a reference for the research on the pharmacodynamic material basis of Suanza-oren Decoction.