Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Objective:To address the critical issue of missing dynamic border molding information in edentulous direct digital impression technology, this study explores innovative digital solutions and conducts preliminary application validation.Methods:Based on the myostatic line theory, a methodology was established: intraoral scanner (IOS) high-frequency video was utilized to dynamically capture functional molding data of soft tissues, integrated with a self-developed mobility gradient recognition algorithm to achieve dynamic threshold segmentation between the muscle dynamic zone and myostatic zone, termed "optical digital molding technology". Ten edentulous patients with well-fitting complete dentures, treated at the Department of Prosthodontics, Peking University School and Hospital of Stomatology from January 2024 to December 2024, were enrolled. The standard deviation between the muscle static line (generated by mobility gradient algorithm with thresholds of 0.3-0.7 mm) and the denture border curve was analyzed to optimize the dynamic threshold, followed by single-case clinical validation.Results:Among the mobility thresholds of 0.3-0.7 mm, the 0.5 mm threshold yielded the smallest standard deviation between the myostatic line and denture border. Clinical validation demonstrated that dentures designed with this threshold exhibited no displacement during dynamic functional tests, with marginal sealing meeting clinical standards.Conclusions:The optical digital border molding technique for edentulous soft tissue boundaries translates the myostatic line theory into quantifiable parameters for the first time. Based on data from 10 cases, a mobility threshold of 0.5 mm is recommended for clinical application.

Objective:To address the critical issue of missing dynamic border molding information in edentulous direct digital impression technology, this study explores innovative digital solutions and conducts preliminary application validation.Methods:Based on the myostatic line theory, a methodology was established: intraoral scanner (IOS) high-frequency video was utilized to dynamically capture functional molding data of soft tissues, integrated with a self-developed mobility gradient recognition algorithm to achieve dynamic threshold segmentation between the muscle dynamic zone and myostatic zone, termed "optical digital molding technology". Ten edentulous patients with well-fitting complete dentures, treated at the Department of Prosthodontics, Peking University School and Hospital of Stomatology from January 2024 to December 2024, were enrolled. The standard deviation between the muscle static line (generated by mobility gradient algorithm with thresholds of 0.3-0.7 mm) and the denture border curve was analyzed to optimize the dynamic threshold, followed by single-case clinical validation.Results:Among the mobility thresholds of 0.3-0.7 mm, the 0.5 mm threshold yielded the smallest standard deviation between the myostatic line and denture border. Clinical validation demonstrated that dentures designed with this threshold exhibited no displacement during dynamic functional tests, with marginal sealing meeting clinical standards.Conclusions:The optical digital border molding technique for edentulous soft tissue boundaries translates the myostatic line theory into quantifiable parameters for the first time. Based on data from 10 cases, a mobility threshold of 0.5 mm is recommended for clinical application.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.

Aim To develop and validate a dynamic nomogram to predict the risk of no-reflow phenomenon(NRP)after percutaneous coronary intervention(PCI)in patients with ST-segment elevation myocardial infarction(STE-MI)by constructing HALP based on haemoglobin(Hb),albumin(Alb),lymphocytes(LYM),and platelets(PLT).Methods A retrospective analysis of 449 STEMI patients admitted to Nanyang Central Hospital from January 2022 to Janu-ary 2024 was divided into 145 cases in the NRP group and 304 cases in the normal reflow group according to whether the patients developed NRP after surgery.HALP was calculated based on Hb,Alb,LYM and PLT observations.Independ-ent influences on NRP risk were determined by multivariate Logistic regression analysis.Dynamic nomogram of NRP risk after PCI in STEMI patients were developed using the R language correlation software package.Results The incidence of NRP was 32.3％(145/449)among 449 patients with NRP.The HALP of patients in the NRP group was lower than that of patients in the normal reflow group(P＜0.05).The area under the curve(AUC)of HALP for diagno-sis of NRP was 0.880(0.847-0.909),and the Kappa coefficient of its optimal cutoff value ≤3.04 versus patients with accurate diagnosis of NRP was 0.612.The results of multivariate Logistic regression analysis showed that age,diabetes mellitus,and high sensitivity C-reactive protein(hs-CRP)were independent risk factors for NRP after PCI in STEMI pa-tients(P＜0.05),and left ventricular ejection fraction(LVEF)and HALP were independent protective factors(P＜0.05).A dynamic nomogram(https://xz0311.shinyapps.io/DynNamicNRP/)based on HALP combined with age,di-abetes,LVEF,and hs-CRP was effective in predicting the risk of post-PCI NRP in STEM1 patients.Conclusion HALP is more effective than traditional risk factors in predicting NRP risk in STEMI patients after PCI,and the dynamic nomogram developed based on HALP will help develop personalized treatment strategies for patients with high NRP risk.

Objective To construct an in vitro"metabolic memory"cell model of HT-22 mouse hippocampal neurons induced by high glucose,and to investigate the effect of"metabolic memory"on apoptosis and histone acetylation in HT-22 cells.Methods HT-22 cells were cultured in high glucose medium(glucose concentration was 55 mmol/L)and conventional glucose medium(glucose concentration was 25 mmol/L),and cells were divided into the control group(NG 4,6 and 8 groups,25 mmol/L glucose was cultured for 4,6 and 8 days,respectively),the high glucose group(HG 4,6 and 8 groups,respectively)and the metabolic memory group(HG2NG2,HG2NG4,HG2NG6,HG4NG2 and HG4NG4 groups,high glucose culture for 2 days to 25 mmol/L glucose culture for 2,4 or 6 days,high glucose culture for 4 days to 25 mmol/L glucose culture for 2 or 4 days).Cell viability was detected by CCK-8 method.The release of lactate dehydrogenase(LDH)in cell culture supernatant was detected,and the optimal time to establish a"metabolic memory"model was selected.Subsequently,cells were divided into the NG4 group,the NG8 group,the HG4 group,the HG4NG4 group and the HG8 group,and the cell morphology of each group was observed by optical microscope.The apoptosis rate was detected by flow cytometry.The activities of deacetylase(HDAC)and histone acetyltransferase(HAT)were detected by enzyme-linked immunosorbent assay(ELISA).Western blot assay was used to detect expression levels of histone deacetylase 4(HDAC4),B lymphocyte tumor 2(Bcl-2),Bcl-2 related X protein(Bax)and Caspase-3 protein.Results The HG4NG4 group was the ideal cell model with high glucose metabolic memory.Cells of the NG4 group and the NG8 group were interwoven into a dense network,growing well,with spindle shaped cells and distinct synaptic structures.However,in the HG4 group and the HG8 group,the cell body became round,synaptic structure disappeared and growth was inhibited.In the HG4NG4 group,the number of cells increased but their morphology was damaged.Results of flow cytometry showed that compared with the NG8 group,the apoptosis rates were significantly increased in the HG8 group and the HG4NG4 group(P＜0.05).ELISA results showed that compared with the NG8 group,the expression levels of HDAC4,Bax,and Caspase-3 proteins increased in the HG8 group and the HG4NG4 group,while the expression level of Bcl-2 protein significantly decreased(P＜0.05).Compared with the HG8 group,there were no significant differences in protein expression levels of HAT and HDAC in the HG4NG4 group.Western blot reslts showed that compared with the NG8 group,the levels of HDAC4,Bax and Caspase-3 protein increased in the HG8 group and the HG4NG4 group(P＜0.05).Compared with the HG8 group,there were no significant differences in protein expression levels in the HG4NG4 group.Conclusion HT-22 mouse hippocampal neurons cultured with 55mmol/L high glucose for 4 days,and then cultured with 25 mmol/L glucose for 4 days are the ideal"metabolic memory"cell model.The mechanism may be related to the increased activity of HDAC,HAT and HDAC4 expression in the hyperglycemic model.

Objective To explore and validate the mechanism of Prepared Radix Polygoni Multiflori in the treatment of NAFLD based on network pharmacology and animal non-alcoholic fatty liver disease(NAFLD)model experiments.Methods Consult the literature to compare the differences between Radix Polygoni Multiflori and Prepared Radix Polygoni Multiflori(PRPM).Herb database and SwissADME database were used to screen the active ingredients of Prepared Radix Polygoni Multiflori,SwissTargetPrediction database was used to predict its targets,OMIM,DISGENET and GEENCARDS databases were used to screen the NAFLD-related targets,conduct GO functional enrichment analysis and KEGG pathway enrichment analysis.The active ingredient-target-KEGG signaling pathway-NAFLD network was mapped later.The mice with NAFLD were treated with Prepared Radix Polygoni Multiflori by gavage for 8 weeks;serum triglyceride level and alanine aminotransferase(ALT)activity were measured;the liver lesions were observed by HE staining;the potential mechanism of action of Radix Polygoni Multiflori in the treatment of NAFLD was verified by Western blot.Results The differences between Radix Polygoni Multiflori and PRPM were consulted.Six pharmacological components and 32 potential action targets of Radix Polygoni Multiflori for the treatment of NAFLD were screened by network pharmacology,GO and KEGG pathways were enriched to lipid and atherosclerosis-related pathways,AMPK signaling pathway,etc.;HE staining verified that Prepared Radix Polygoni Multiflori has the function of improving NAFLD and is associated with the alteration of FASN,ACC,SCD protein of AMPK signaling pathway.Conclusion Radix Polygoni Multiflori has the potential to improve NAFLD by regulating FASN,ACC and SCD.

Objective To analyze the characteristics ot lymph node metastasis and prognostic factors for carcinoma of papilla of Vater (CPV) after pancreaticoduodenectomy (PD).Methods From January 2005 to December 2010,94 patients with CPV underwent PD and dissection of regional lymph nodes at the Eastern Hepatobiliary Surgery Hospital.We carefully evaluated nodal involvement in the patients to determine the lymphatic spread of CPV and analyzed the clinicopathological variables in relation to prognosis.Results The overall rate of nodal involvement was 46.8％.Using the UICC staging (7th edition),lymphatic invasion in pT1,pT2,pT3 and pT4 were 15.4％ (2/13),62.7％ (32/51),80.0％ (8/10) and 100％ (2/2),respectively.The metastatic rates in the posterior pancreaticoduodenal lymph nodes,the mesopancreatic lymph nodes,the hepatoduodenal ligamental lymph nodes and the proper hepatic periarterial lymph nodes were 30.9％ (29/94),21.3％ (20/94),11.7％(11/94) and 6.4％ (6/94),respectively.Significant prognostic factors were tumor pT stage (P＜0.01),duodenal wall infiltration (P =0.001),liver metastasis (P =0.001),pancreatic paren chymal invasion (P=0.004),nodal involvement (P＜0.01) and different regional lymph nodes invasion (the posterior pancreaticoduodenal,P＜0.01; the mesopancreatic,P＜0.01; the hepatoduodenal ligamental,P＜0.01; the proper hepatic periarterial,P=0.010).Cox regression analysis for overall survival revealed that the posterior pancreaticoduodenal nodal involvement (P＜0.01),the mesopancreatic nodal involvement (P＜0.01) and duodenal wall infiltration (P=0.019) were significant independent prognostic risk factors.Conclusions The mesopancreatic lymph nodes and the posterior pancreaticoduodenal lymph nodes should equally be regarded as the first stop in lymphatic spread of CPV.Therefore,we should pay much attention to these regional lymph node dissections,especially to ensure complete resection of the uncinate process and the mesopancreas.