[Purpose]To analyze cancer incidence and mortality in Anhui cancer registration areas in 2019 and the trends from 2015 to 2019.[Methods]Data from 42 cancer registration areas in Anhui Province in 2019 meeting quality control requirements were collected.The incidence,mor-tality,age-standardized rates by Chinese standard population and world standard population,age-specific rate,accumulation rate(0～74 years old)and the top 10 cancers of high incidence and mortality were calculated by urban and rural areas,sexes and age groups.The standard population of China in 2000 was used for age-standardized incidence or mortality rate(ASIRC or ASMRC),and the Segi world standard population was used for age-standardized incidence or mortality rate(ASIRW or ASMRW),respectively.Joinpoint was used to analyze the incidence and mortality trends from 2015 to 2019,and the annual percentage change(APC)was estimated.[Results]In 2019,the reported incidence rate(crude rate)in Anhui cancer registration areas was 282.87/105(313.24/105 for male,251.19/105 for female),ASIRC and ASIRW were 183.85/105 and 178.94/105,respectively,with the cumulative incidence rate of 20.35％.There was no significant change in the incidence of malignant tumors from 2015 to 2019(APC=-1.00％,P＞0.05).The reported mortality rate(crude rate)was 167.20/105(214.67/105 for male,117.67/105 for female),ASMRC and ASMRW were 98.41/105 and 97.15/105,and the cumulative mortality rate was 10.68％.There was no significant change in the mortality rate of malignant tumors from 2015 to 2019(APC=-3.44％,P＞0.05).The incidence and mortality rate of lung cancer ranked the first in urban and rural popu-lations of all genders.The incidence rate of female breast cancer ranked the third and the mortali-ty rate ranked the sixth of all malignancies.The incidence and mortality of malignant tumors in men were higher than those in women,and higher in rural areas than those in urban areas,and the main cancer types of rural and urban areas tended to be the same.[Conclusion]From 2015 to 2019,there was no significant change in the incidence and mortality of malignant tumors in the cancer registration areas of Anhui Province,but it is still necessary to prevent and treat lung can-cer and female breast cancer.

Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data,these models showcase remarkable efficacy across various tasks,including new drug design and drug target identification.The adaptability of pre-trained trans-former-based models renders them indispensable assets for driving data-centric advancements in drug discovery,chemistry,and biology,furnishing a robust framework that expedites innovation and dis-covery within these domains.Beyond their technical prowess,the success of transformer-based models in drug discovery,chemistry,and biology extends to their interdisciplinary potential,seamlessly combining biological,physical,chemical,and pharmacological insights to bridge gaps across diverse disciplines.This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields.In our review,we elucidate the myriad applications of transformers in drug discovery,as well as chemistry and biology,spanning from protein design and protein engineering,to molecular dynamics(MD),drug target iden-tification,transformer-enabled drug virtual screening(VS),drug lead optimization,drug addiction,small data set challenges,chemical and biological image analysis,chemical language understanding,and single cell data.Finally,we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

[Purpose]To analyze cancer incidence and mortality in Anhui cancer registration areas in 2019 and the trends from 2015 to 2019.[Methods]Data from 42 cancer registration areas in Anhui Province in 2019 meeting quality control requirements were collected.The incidence,mor-tality,age-standardized rates by Chinese standard population and world standard population,age-specific rate,accumulation rate(0～74 years old)and the top 10 cancers of high incidence and mortality were calculated by urban and rural areas,sexes and age groups.The standard population of China in 2000 was used for age-standardized incidence or mortality rate(ASIRC or ASMRC),and the Segi world standard population was used for age-standardized incidence or mortality rate(ASIRW or ASMRW),respectively.Joinpoint was used to analyze the incidence and mortality trends from 2015 to 2019,and the annual percentage change(APC)was estimated.[Results]In 2019,the reported incidence rate(crude rate)in Anhui cancer registration areas was 282.87/105(313.24/105 for male,251.19/105 for female),ASIRC and ASIRW were 183.85/105 and 178.94/105,respectively,with the cumulative incidence rate of 20.35％.There was no significant change in the incidence of malignant tumors from 2015 to 2019(APC=-1.00％,P＞0.05).The reported mortality rate(crude rate)was 167.20/105(214.67/105 for male,117.67/105 for female),ASMRC and ASMRW were 98.41/105 and 97.15/105,and the cumulative mortality rate was 10.68％.There was no significant change in the mortality rate of malignant tumors from 2015 to 2019(APC=-3.44％,P＞0.05).The incidence and mortality rate of lung cancer ranked the first in urban and rural popu-lations of all genders.The incidence rate of female breast cancer ranked the third and the mortali-ty rate ranked the sixth of all malignancies.The incidence and mortality of malignant tumors in men were higher than those in women,and higher in rural areas than those in urban areas,and the main cancer types of rural and urban areas tended to be the same.[Conclusion]From 2015 to 2019,there was no significant change in the incidence and mortality of malignant tumors in the cancer registration areas of Anhui Province,but it is still necessary to prevent and treat lung can-cer and female breast cancer.

AIM To establish an HPLC-MS/MS method for the simultaneous residue determination of 11 plant growth regulators(PGRs)in Renshen Guben preparations,and to conduct a risk assessment.METHODS The analysis was performed on a 40 ℃ thermostatic ACQUITY UPLC ? Waters HSS T3 column(2.1 mm×100 mm,1.8 μm),with the mobile phase of acetonitrile-0.1％formic acid(containing 5 mmol/L ammonium formate)flowing at 0.30 mL/min in a gradient elution manner,and electro spray ionization was employed in both positive and negative ion scanning,with multiple reaction monitoring mode.The chronic and acute exposure risk values of the detected PGRs were calculated and assessed based on residue levels,health guidance values,and exposure estimates.RESULTS Eleven PGRs exhibited good linear relationships within their own ranges(R2 ≥ 0.990),whose average recoveries were 70.0％-120.0％,with RSDs all below 12.0％.In both oral liquid and pill forms,mepiquat chloride showed the highest average residue levels,while sodium 5-nitroguaiacolate exhibited the highest acute risk value(0.765 7,0.908 1)and chronic risk value(0.023 1,0.027 0).CONCLUSION Although PGRs residues are detected in Renshen Guben preparations,all levels remained within safe limits.

Objective To observe the correlations of metabolite levels in medial prefrontal cortex(mPFC)and cancer-related depression(CRD)in patients with non-small cell lung cancer(NSCLC).Methods Totally 38 NSCLC patients were prospectively enrolled and divided into CRD group(n=23)and non CRD group(n=15)based on Hamilton depression scale(HAMD-17).Meanwhile,22 healthy individuals were taken as control group.1 H-MR spectroscopy was performed using Meshcher-Garwood point resolved spectroscopy sequence,then metabolite levels of mPFC were measured,and their correlations with HAMD-17 score were analyzed.Results Significant differences of gamma-aminobutyric acid(GABA)+/Water and glutamate/glutamine complex(Glx)/Water in mPFC were found among 3 groups.GABA+/Water in mPFC of CRD group was significantly lower than that of the other 2 groups(both P＜0.05),and Glx/Water in mPFC of CRD group was significantly lower than that of control group(P=0.034).In NSCLC patients,GABA+/Water in mPFC was negatively correlated with HAMD-17 score(r=-0.491,P=0.002).Conclusion GABA+/Water in mPFC was negatively correlated with HAMD-17 score in NSCLC patients.

In 2025,the International Association of Pancreatology(IAP),in collaboration with the American Pancreatic Association,European Pancreatic Club,Indian Pancreas Club,and Japan Pancreas Society,released the International Association of Pancreatology revised guidelines on acute pancreatitis 2025.This edition represents a comprehensive revision of the 2013 guidelines,based on high-quality evidence accumulated over the past decade,particularly randomized controlled trials.The guidelines encompass 18 key areas-including pain management,fluid therapy,nutritional support,management of infected necrosis,complication control,discharge and follow-up,and recurrence prevention-offering a total of 96 recommendations that emphasize individualized treatment.These updates provide important guidance for standardizing clinical practice and improving outcomes in acute pancreatitis,while also indicating future research directions such as the development of targeted therapies.However,some recommendations remain limited by lower evidence quality,uncertain applicability in specific clinical settings,and insufficient consideration of economic burden and cost-effectiveness.

Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

In 2025,the International Association of Pancreatology(IAP),in collaboration with the American Pancreatic Association,European Pancreatic Club,Indian Pancreas Club,and Japan Pancreas Society,released the International Association of Pancreatology revised guidelines on acute pancreatitis 2025.This edition represents a comprehensive revision of the 2013 guidelines,based on high-quality evidence accumulated over the past decade,particularly randomized controlled trials.The guidelines encompass 18 key areas-including pain management,fluid therapy,nutritional support,management of infected necrosis,complication control,discharge and follow-up,and recurrence prevention-offering a total of 96 recommendations that emphasize individualized treatment.These updates provide important guidance for standardizing clinical practice and improving outcomes in acute pancreatitis,while also indicating future research directions such as the development of targeted therapies.However,some recommendations remain limited by lower evidence quality,uncertain applicability in specific clinical settings,and insufficient consideration of economic burden and cost-effectiveness.

Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

OBJECTIVE To investigate the effects of ginsenosides as P-glycoprotein(P-gp)substrates in combination with paclitaxel on the proliferation and migration of colon cancer Caco-2 cells.METHODS Bio-layer interferometry(BLI)technology was used to detect the constants of ginsenosides and P-gp.Network molecular docking was adopted to predict the binding affinity energy of ginsenosides and P-gp.Caco-2 cells were divided into paclitaxel 0,6.25,12.5,25,50,100 and 200 mg·L-1 groups,ginsenoside Rg3 0,6.25,12.5,25,50,100 and 200 mg·L-1 groups,and paclitaxel 5 mg·L-1+ginsenoside Rg3 0,25,50,100 and 200 mg·L-1 groups.After 48 h of incubation,the growth inhibition rate of Caco-2 cells was detected by MTT assay,and the interaction between the two drugs was quantitatively evaluated using the"one-belt,one-line"modle.Caco-2 cells were divided into the cell control group,paclitaxel 5 mg·L-1 group,ginsenoside Rg3 50 and 100 mg·L-1 groups,and paclitaxel 5 mg·L-1+ginsenoside Rg3 50 and 100 mg·L-1 groups.After 24 h of incubation,the proliferation and migration ability of the cells were detected by colony assay and Transwell migration assay.Caco-2 cells were then divided into the cell control group,quinidine 12.5 mg·L-1 group,and ginsenoside Rg3 6.25 and 12.5 mg·L-1 groups.After 4 h of incubation,the expression levels of P-gp and total protein were detected by ELISA.RESULTS The affinity constants of ginsenoside Rb1,Rg3,Rg5 with P-gp were all less than 10-3 mol·L-1,while that of ginsenoside CK with P-gp was 10-2 mol·L-1.There was no typical binding dissociation curve between ginsenoside Re and P-gp.The absolute binding affinities of ginsenosides Rg3 and Rg5 to P-gp were determined to be 8.5 kcal·mol-1 and 7.6 kcal·mol-1,respectively.Ginsenosides mixed with PTX 5 mg·L-1 inhibited the growth of colon cancer cells through synergy and addition,and the dose range of the syner-gistic effect was[0+5,43.15+5]mg·L-1;[164.51+5,200+5]mg·L-1,the additive effect dose ranged from[43.15+5,164.51+5]mg·L-1.The combination of the two drugs could significantly reduce the proliferation and migration ability of Caco-2 cells(P<0.01).The ELISA results showed a decrease in total protein and P-gp content in both the ginsenoside and quinidine groups(P<0.05).CONCLUSION Ginsenoside bind to and inhibit the activity of P-gp,synergizing with paclitaxel to reduce the proliferative and migratory abili-ties of Caco-2 cells.The combination of ginsenosides and paclitaxel enhances the sensitivity of Caco-2 cells to paclitaxel induced inhibition.The combined use of these two substances is expected to achieve better anticancer effects compared to paclitaxel alone.