Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To investigate the independent risk factors of postoperative femoral head necrosis for pediatric femoral neck fractures.Methods The clinical data of 122 children with femoral neck fracture who underwent surgery in our hospital from July 2008 to July 2021 were retrospectively analyzed.The femoral head necrosis was counted,and the children were divided into the femoral head necrosis group and the femoral head normal group according to the presence of femoral head necrosis,then the risk factors of femoral head necrosis were analyzed.Results Of the 122 children,22 cases(18.03％)had femoral head necrosis.The postoperative femoral head necrosis for pediatric femoral neck fractures may be related to the age,Delbet classification,initial displacement degree,injury mechanism,operation time,internal fixation method and reduction quality(P＜0.05),while which has no significant correlation with the gender,side,time from injury to operation,or reduction method(P＞0.05).The results of Logistic regression analysis showed that age＞10 years,Delbet type of Ⅰ to Ⅱ,initial displacement degree of type Ⅲ,high-energy injury and unacceptable reduction were the independent risk factors of postoperative femoral head necrosis for pediatric femoral neck fractures(P＜0.05).Conclusion Older children,or patients with Delbet type of Ⅰ to Ⅱ,large degree of initial displacement,high-energy injury,and unacceptable reduction are the independent risk factors of postoperative femoral head necrosis for pediatric femoral neck fractures.

Pancreatic ductal adenocarcinoma(PDAC)is one of the leading causes of cancer-related mortality worldwide,but current clinical methods lack effective screening and treatment options.Despite the widespread use of gemcitabine as a first-line chemotherapeutic agent in the treatment of PDAC over the past decade,its efficacy is limited by the development of drug resistance,which significantly shortens patient survival.This review systematically elucidates the critical role of the tumor microenvironment in the development of gemcitabine resistance of PDAC cells,highlighting the contributions of the extracellular matrix barrier,hypoxia-induced adaptive changes in cancer cells,and the formation of an immunosuppressive microenvironment as key factors in gemcitabine resistance.Additionally,we also introduce novel strategies for reversing chemoresistance,including advanced drug delivery systems,and provide a comprehensive overview of the current opportunities and challenges.

Alzheimer's disease(AD)is a neurodegenerative disease with age-related cognitive decline.Sphingosine-1-phosphate receptor 2(S1PR2)is involved in a variety of cellular processes and has been shown to play an important role in nervous system development.This study aimed to investigate the effects and possible mechanism of S1PR2 on Aβ25-35 induced cell model damage of AD.In this study,SH-SY5Y cells were induced by Aβ25-35 to construct a cell damage model,and the expression of S1PR2 in cells was interfered by targeting sequence.The protein and gene expression levels of S1PR2 were detected by Western blot and RT-PCR.It was found that the expression of S1PR2 was significantly increased at mR-NA and protein levels in Aβ25-35-induced SH-SY5Y cell model(P＜0.01),and its expression was signifi-cantly decreased after S1PR2 intervention(P＜0.001).The cell proliferation activity was detected by CCK8,and apoptosis was detected by flow cytometry.The results showed that the proliferation activity of Aβ25-35 induced SH-SY5Y cells was significantly increased,and apoptosis was decreased after S1PR2 in-tervention(P＜0.01).The protein levels of APP,Tau,p-Tau,and PSD95 in cells were detected by Western blot to analyze the effect of S1PR2 on the pathology of AD.It was found that after S1PR2 inter-vention,the expressions of APP,Tau,and p-Tau in the AD cell model were significantly decreased(P＜0.001),and the expression of synaptic protein PSD95 was increased(P＜0.001),which could signifi-cantly improve the pathological damage in Aβ25-35-induced SH-SY5Y cell model.In addition,ATP pro-duction was detected by the kit,and ROS content and mitochondrial membrane potential were detected by flow cytometry to analyze the mitochondrial function.Results found that ATP production and mitochondri-al membrane potential was significantly decreased,whereas the ROS content was increased in Aβ25 35 in-duced SH-SY5Y cells(P＜0.001).Intervention with S1PR2 significantly increased ATP production and mitochondrial membrane potential,but decreased ROS content(P＜0.001).Finally,the protein levels of the AKT/mTOR pathway were detected by Western blot.The results showed that S1PR2 significantly in-hibited the activation of the AKT/mTOR pathway induced by Aβ25-35 in SH-SY5Y cells.In conclusion,S1PR2 may be involved in the pathogenesis of Aβ25-35-induced SH-SY5Y cells by promoting mitochondrial function through the AKT/mTOR pathway.

Objective:To investigate the toxic effect of chlorambucil combined with ibrutinib on mantle cell lymphoma(MCL)cell line Jeko-1 and its related mechanism.Methods:The MCL cell line Jeko-1 was incubated with different concentrations of chlorambucil or ibrutinib or the combination of the two drugs,respectively.CCK-8 assay was used to detect the proliferation of the cells,and Western blot was used to measure the protein expression levels of BCL-2,caspase-3,PI3K,AKT and P-AKT.Results:After Jeko-1 cells were treated with chlorambucil(3.125,6.25,12.5,25,50 μmol/L)and ibrutinib(3.125,6.25,12.5,25,50 μmol/L)alone for 24,48,72h respectively,the cell proliferation was inhibited in a time-and dose-dependent manner.Moreover,the two drugs were applied in combination at low doses(single drug inhibition rate＜50％),and the results showed that the combination of two drugs had a more significant inhibitory effect(all P＜0.05).Compared with the control group,the apoptosis rate of the single drug group of chlorambucil(3.125,6.25,12.5,25,50 μmol/L)and ibutinib(3.125,6.25,12.5,25,50 μmol/L)was increased in a dose-dependent manner.The combination of the two drugs at low concentrations(3.125,6.25,12.5 μmol/L)could significantly increase the apoptosis rate compared with the corresponding concentration of single drug groups(all P＜0.05).Compared with control group,the protein expression levels of caspase-3 in Jeko-l cells were upregulated,while the protein expression levels of BCL-2,PI3K,and p-AKT/AKT were downregulated after treatment with chlorambucil or ibrutinib alone.The combination of the two drugs could produce a synergistic effect on the expressions of the above-mentioned proteins,and the differences between the combination group and the single drug groups were statistically significant(all P＜0.05).Conclusion:Chlorambucil and ibrutinib can promote the apoptosis of MCL cell line Jeko-1,and combined application of the two drugs shows a synergistic effect,the mechanism may be associated with the AKT-related signaling pathways.

AIM To study the Chemical constituents from Rhinacanthus nasutus(L.)Kurz and their in vitro antitumor and lipid-lowering activities.METHODS The ethyl acetate fraction from R.nasutus was isolated and purified by normal phase,reverse phase silica gel column and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The in vitro anti-tumor activity was determined by MTT assay,and the in vitro lipid-lowering activity was evaluated by oleic acid-induced HepG2 high-fat cell model.RESULTS Twenty compounds were isolated and identified as rhinacanthin A(1),rhinacanthin B(2),rhinacanthin C(3),rhinacanthin D(4),rhinacanthin E(5),rhinacanthin M(6),rhinacanthin N(7),rhinacanthin Q(8),rhinacanthin T(9),rhinacanthone(10),β-sitosterol(11),gallic acid(12),vanillic acid(13),syringic acid(14),lapachol(15),umbelliferone(16),sambucunlin A(17),17α,21-dihydroxy-1,4-pregnadiene-3,11,20-trione,21-acetate(18),1,8-dihydroxyanthraquinone(19),2,6-dimethoxy-1,4-benzoquinone(20).Compounds 3 and 7 inhibited the proliferation of HepG2,Hela,A549 and H22 tumor cells with IC50 values of(0.66±0.17)-(3.22±0.49)μmol/L in a time-and concentration-dependent manner.Compounds 3,7 and 9 had a lipid clearance rate of more than 50%in oleic acid-induced HepG2 high-fat cells.CONCLUSION Compounds 16-20 are isolated from this plant for the first time.Compounds 3 and 7 have good in vitro anti-tumor activities,and 3,7,9 have good in vitro lipid-lowering activities.