Objective: To explore the potential application of PAK4-PROTAC targeted degradation drug (PpD) in renal cancer immunotherapy. Methods: TIMER 2.0 and TISIDB databases were used to analyze the relationship among PAK4 expression, tumor purity and abundance of immune cell infiltration in renal tumor microenvironment (TEM).Renal cancer cell lines OS-RC-2, 786-O and ACHN were treated with 0, 125 and 250 nmol/L PpD, and the effects of Jurkat cell co-culture on the results were investigated.The cell apoptosis was detected with flow cytometry, and the expression of programmed cell death 1 ligand 1 (PD-L1) in renal cancer cells was detected with immunoblotting. Results: The high expression of PAK4 was positively related to immune purity, and inhibited the abundance of immune killer cells in TEM, such as CD8 T cells, CD4 T cells, natural killer cells and dendritic cells.With 250 nmol/L PpD treatment, there were 21.02% apoptotic cells in OS-RC-2, 29.67% apoptotic cells in 786-O, and 15.39% apoptotic cells in ACHN, respectively.However, with the same concentration of 250 nmol/L PpD treatment, cell apoptotic rate was sharply increased to 70.13% in OS-RC-2/Jurkat, 70.68% in 780-O/Jurkat, and 60.27% in ACHN/Jurkat co-culture models, respectively. Conclusion: PpD can promote apoptosis of renal cancer cells by reducing the expression of PAK4 protein, and enhance the killing effects of immune cells on tumor cells.

Arginine methylation is a critical post-translational modification that plays multifaceted biological functions. However, the manipulation of protein arginine methylation largely depends on genetic or pharmaceutic inhibition of the regulatory enzymes, protein arginine methyltransferases (PRMTs), or non-methylation substitution of corresponding arginine residue to lysine or alanine of protein of interest (POI), which inevitably affects other substrates, or disrupts the structure of POI. Thus, it urges an approach to specifically modulate the arginine methylation of a POI under physiological conditions. To this end, we report the discovery of a methylation tagging system (MeTAG), that enables targeted modification of protein arginine methylation. Through bridging the methyltransferase PRMT5 proximity to a POI, MeTAG facilitates the arginine methylation of POIs, including known arginine methylated proteins, androgen receptor (AR) and protein kinase B (AKT), as well as a neo-substrate E1A binding protein (p300), in a reversible and PRMT5-dependent manner. Moreover, MeTAG can regulate downstream signaling in a methylation dependent manner, leading to downregulation of PSMA mRNA level and activation of AKT. Therefore, MeTAG represents a feasible approach to modulate protein methylation and thereby perturbs protein function in biological and therapeutic contexts.

Objective:To elucidate the prognostic differences and risk factors associated with different patterns of recurrence and metastasis following pancreatic cancer (PC) resection.Methods:This is a retrospective case series study. Clinicopathological data and follow-up information were retrospectively collected from 210 patients who underwent surgery for PC at the Department of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, between January 2014 and December 2023. There were 114 males and 96 females; the age was (64.5±10.3) years (range: 29 to 89 years). Survival functions based on different times to recurrence and metastasis and different patterns of recurrence and metastasis were estimated using the Kaplan-Meier method, and survival differences among groups were compared using the Log-rank test. Identifying the optimal cutoff for time to postoperative recurrence/metastasis predicting overall survival (OS) in pancreatic cancer patients via the minimum p-value approach. Univariate and multivariate Cox regression analyses were performed to identify independent risk factors affecting OS following pancreatectomy.Results:A total of 210 patients met the inclusion and exclusion criteria. Among them, 71 patients remained free of recurrence and metastasis, while 139 developed recurrence and metastasis. The patterns included local recurrence ( n=34), liver metastasis ( n=39), lung metastasis ( n=11), peritoneal metastasis ( n=13), multiple sites metastasis ( n=38), bone metastasis ( n=3), and kidney metastasis ( n=1). OS was significantly shorter in the group with postoperative recurrence and metastasis compared to the group without recurrence/metastasis (23.07 months vs.not reached, P<0.01). The optimal cut-off time distinguishing early from late recurrence and metastasis was 13 months. There was a significant difference in post-recurrence survival between patients with early and late recurrence and metastasis (16.03 months vs. 52.40 months, P=0.009). The Kaplan-Meier survival curve showed that different postoperative recurrence and metastasis patterns had different impacts on OS, with lung metastasis showing the best prognosis compared to local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastasis ( P<0.01). Multivariate Cox analysis revealed that Eastern Cooperative Oncology Group (ECOG) score 1, postoperative carcinoembryonic antigen (CEA) ≥15 μg/L, poor tumor differentiation, postoperative local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastases are independent risk factors for postoperative recurrence and metastasis (all P<0.05). Conclusions:Considerable prognostic heterogeneity exists in postoperative PC patients depending on the site and pattern of recurrence or metastasis. Specifically, lung metastasis portends a significantly more favorable prognosis than liver metastasis, peritoneal metastasis, local recurrence, or multiple sites metastases. ECOG score 1, postoperative CEA≥15 μg/L, poor tumor differentiation, postoperative local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastases are independent risk factors for OS in postoperative PC patients.

Objective To investigate and compare the effects of electroacupuncture and dexamethasone on lung function and histomorphology and behavior in the offspring of perinatal nicotine exposure(PNE)rats.Methods Twenty-four pregnant Sprague-Dawley rats were randomly divided into control,model,electroacupuncture shallow needling,and dexamethasone groups using the random number table method(n=6 rats per group).A pulmonary dysplasia model in offspring rats with PNE was prepared by cervicodorsal subcutaneous injection with nicotine,and successful establishment of the model was confirmed by demonstrating statistically significant differences in growth parameters,lung function,and lung morphology compared to the control group.From the sixth day of maternal conception,the control group received cervicodorsal subcutaneous injection with 0.9%sodium chloride solution(1 mg/kg once per day),and the remaining groups were similarly injected with nicotine(1 mg/kg once per day).Concurrent with the nicotine injections,the electroacupuncture shallow needling group received electroacupuncture interventions at the"Zusanli"(ST 36)acupoint on both sides once a day for 20 min.In contrast,the offspring rats in the dexamethasone group received intraperitoneal dexamethasone injections from postnatal day 8(1.5 mg/kg once per day for 3 days),with a later dose of 0.75 mg/kg once per day for 4 days.Following successful model establishment,four offspring per rat were retained in each group using the random number table method.Until the 21st day after the birth of the offspring,using the random number table method,one offspring randomly selected from the four retained offspring per rat in each group was assigned to growth parameter assessment including body weight,lung weight,and lung index;simultaneously,one offspring was randomly selected for pulmonary function which was detected by a small animal pulmonary function machine,with the parameters of forced vital capacity(FVC),functional residual capacity(FRC),dynamic lung compliance(Cdyn),peak expiratory flow(PEF),peak inspiratory flow(PIF),and airway resistance(RL);concurrently,one offspring was randomly selected for hematoxylin and eosin staining to observe the histomorphology of the lung tissue,alveolar numbers,and mean alveolar septal thickness;additionally,one offspring was randomly selected for Morris water maze testing to evaluate the effects of the two intervention methods on learning and memory capabilities in offspring rats with PNE.Results Compared with the control group,the body weight,lung weight,lung index,FVC,PEF,FRC,Cdyn,alveolar number,platform crossing times,target quadrant time percentage,and target quadrant path percentage in the Morris water maze experiment were significantly decreased in the offspring rats of the model group(P<0.01).In contrast,PIF,RL,average thickness of alveolar septa,and latency of the Morris water maze experiment were significantly increased in the offspring rats of the model group(P<0.01).Compared with the model group,both electroacupuncture shallow needling group and dexamethasone group exhibited significant increases in body weight,lung weight,lung index,FVC,PEF,FRC,Cdyn,and alveolar numbers(P<0.05,P<0.01),along with significant decreases in PIF,RL values,and mean alveolar septal thickness(P<0.01).However,in the Morris water maze experiment,compared with the model group,the electroacupuncture shallow needling group demonstrated significantly more platform crossing times and a higher target quadrant time percentage and target quadrant path percentage(P<0.01),coupled with reduced latency period(P<0.01),whereas the dexamethasone group showed no significant differences compared to the model group.Compared to the electroacupuncture shallow needling group,the dexamethasone group showed significantly less platform crossing times and a lower target quadrant time percentage and target quadrant path percentage,coupled with increased latency period(P<0.01).Conclusion Both electroacupuncture and dexamethasone demonstrated protective effects on lung development in PNE offspring rats by ameliorating lung histomorphology and pulmonary function.However,offspring receiving late,small-dose,short-course dexamethasone exhibited inferior learning and memory capabilities,whereas the electroacupuncture group showed significantly superior cognitive performance compared to the dexamethasone group.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective:To develop and evaluate the reliability and validity of the Unmet Needs Scale for Middle-aged and Young Women with Gynecological Cancer after Hysterectomy.Methods:Based on the Existence-Relatedness-Growth (ERG) theory, the initial version of the scale was developed through literature review, Delphi expert consultation, and a pilot survey. A total of 684 middle-aged and young women with gynecological cancer who underwent hysterectomy were selected using convenience sampling from three Class ⅢGrade A hospitals in Hebei Province between April and October 2024 for item analysis and psychometric testing.Results:The item-level content validity index ( I- CVI) of the scale ranged from 0.833 to 1.000, and the scale-level content validity index ( S- CVI) was 0.911. Exploratory factor analysis extracted seven common factors, explaining a cumulative variance of 71.083%. Confirmatory factor analysis showed good model fit. The final scale consisted of 45 items across seven dimensions: life needs, emotional needs, disease information needs, economic and medical care needs, needs for love and respect, self-actualization needs, and inner peace needs. Conclusions:The Unmet Needs Scale for Middle-aged and Young Women with Gynecological Cancer after Hysterectomy constructed based on ERG theory demonstrated good reliability and validity, and can serve as a useful tool for clinical assessment of unmet needs in this patient population.

Objective To investigate and compare the effects of electroacupuncture and dexamethasone on lung function and histomorphology and behavior in the offspring of perinatal nicotine exposure(PNE)rats.Methods Twenty-four pregnant Sprague-Dawley rats were randomly divided into control,model,electroacupuncture shallow needling,and dexamethasone groups using the random number table method(n=6 rats per group).A pulmonary dysplasia model in offspring rats with PNE was prepared by cervicodorsal subcutaneous injection with nicotine,and successful establishment of the model was confirmed by demonstrating statistically significant differences in growth parameters,lung function,and lung morphology compared to the control group.From the sixth day of maternal conception,the control group received cervicodorsal subcutaneous injection with 0.9%sodium chloride solution(1 mg/kg once per day),and the remaining groups were similarly injected with nicotine(1 mg/kg once per day).Concurrent with the nicotine injections,the electroacupuncture shallow needling group received electroacupuncture interventions at the"Zusanli"(ST 36)acupoint on both sides once a day for 20 min.In contrast,the offspring rats in the dexamethasone group received intraperitoneal dexamethasone injections from postnatal day 8(1.5 mg/kg once per day for 3 days),with a later dose of 0.75 mg/kg once per day for 4 days.Following successful model establishment,four offspring per rat were retained in each group using the random number table method.Until the 21st day after the birth of the offspring,using the random number table method,one offspring randomly selected from the four retained offspring per rat in each group was assigned to growth parameter assessment including body weight,lung weight,and lung index;simultaneously,one offspring was randomly selected for pulmonary function which was detected by a small animal pulmonary function machine,with the parameters of forced vital capacity(FVC),functional residual capacity(FRC),dynamic lung compliance(Cdyn),peak expiratory flow(PEF),peak inspiratory flow(PIF),and airway resistance(RL);concurrently,one offspring was randomly selected for hematoxylin and eosin staining to observe the histomorphology of the lung tissue,alveolar numbers,and mean alveolar septal thickness;additionally,one offspring was randomly selected for Morris water maze testing to evaluate the effects of the two intervention methods on learning and memory capabilities in offspring rats with PNE.Results Compared with the control group,the body weight,lung weight,lung index,FVC,PEF,FRC,Cdyn,alveolar number,platform crossing times,target quadrant time percentage,and target quadrant path percentage in the Morris water maze experiment were significantly decreased in the offspring rats of the model group(P<0.01).In contrast,PIF,RL,average thickness of alveolar septa,and latency of the Morris water maze experiment were significantly increased in the offspring rats of the model group(P<0.01).Compared with the model group,both electroacupuncture shallow needling group and dexamethasone group exhibited significant increases in body weight,lung weight,lung index,FVC,PEF,FRC,Cdyn,and alveolar numbers(P<0.05,P<0.01),along with significant decreases in PIF,RL values,and mean alveolar septal thickness(P<0.01).However,in the Morris water maze experiment,compared with the model group,the electroacupuncture shallow needling group demonstrated significantly more platform crossing times and a higher target quadrant time percentage and target quadrant path percentage(P<0.01),coupled with reduced latency period(P<0.01),whereas the dexamethasone group showed no significant differences compared to the model group.Compared to the electroacupuncture shallow needling group,the dexamethasone group showed significantly less platform crossing times and a lower target quadrant time percentage and target quadrant path percentage,coupled with increased latency period(P<0.01).Conclusion Both electroacupuncture and dexamethasone demonstrated protective effects on lung development in PNE offspring rats by ameliorating lung histomorphology and pulmonary function.However,offspring receiving late,small-dose,short-course dexamethasone exhibited inferior learning and memory capabilities,whereas the electroacupuncture group showed significantly superior cognitive performance compared to the dexamethasone group.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective:To develop and evaluate the reliability and validity of the Unmet Needs Scale for Middle-aged and Young Women with Gynecological Cancer after Hysterectomy.Methods:Based on the Existence-Relatedness-Growth (ERG) theory, the initial version of the scale was developed through literature review, Delphi expert consultation, and a pilot survey. A total of 684 middle-aged and young women with gynecological cancer who underwent hysterectomy were selected using convenience sampling from three Class ⅢGrade A hospitals in Hebei Province between April and October 2024 for item analysis and psychometric testing.Results:The item-level content validity index ( I- CVI) of the scale ranged from 0.833 to 1.000, and the scale-level content validity index ( S- CVI) was 0.911. Exploratory factor analysis extracted seven common factors, explaining a cumulative variance of 71.083%. Confirmatory factor analysis showed good model fit. The final scale consisted of 45 items across seven dimensions: life needs, emotional needs, disease information needs, economic and medical care needs, needs for love and respect, self-actualization needs, and inner peace needs. Conclusions:The Unmet Needs Scale for Middle-aged and Young Women with Gynecological Cancer after Hysterectomy constructed based on ERG theory demonstrated good reliability and validity, and can serve as a useful tool for clinical assessment of unmet needs in this patient population.

Objective:To elucidate the prognostic differences and risk factors associated with different patterns of recurrence and metastasis following pancreatic cancer (PC) resection.Methods:This is a retrospective case series study. Clinicopathological data and follow-up information were retrospectively collected from 210 patients who underwent surgery for PC at the Department of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, between January 2014 and December 2023. There were 114 males and 96 females; the age was (64.5±10.3) years (range: 29 to 89 years). Survival functions based on different times to recurrence and metastasis and different patterns of recurrence and metastasis were estimated using the Kaplan-Meier method, and survival differences among groups were compared using the Log-rank test. Identifying the optimal cutoff for time to postoperative recurrence/metastasis predicting overall survival (OS) in pancreatic cancer patients via the minimum p-value approach. Univariate and multivariate Cox regression analyses were performed to identify independent risk factors affecting OS following pancreatectomy.Results:A total of 210 patients met the inclusion and exclusion criteria. Among them, 71 patients remained free of recurrence and metastasis, while 139 developed recurrence and metastasis. The patterns included local recurrence ( n=34), liver metastasis ( n=39), lung metastasis ( n=11), peritoneal metastasis ( n=13), multiple sites metastasis ( n=38), bone metastasis ( n=3), and kidney metastasis ( n=1). OS was significantly shorter in the group with postoperative recurrence and metastasis compared to the group without recurrence/metastasis (23.07 months vs.not reached, P<0.01). The optimal cut-off time distinguishing early from late recurrence and metastasis was 13 months. There was a significant difference in post-recurrence survival between patients with early and late recurrence and metastasis (16.03 months vs. 52.40 months, P=0.009). The Kaplan-Meier survival curve showed that different postoperative recurrence and metastasis patterns had different impacts on OS, with lung metastasis showing the best prognosis compared to local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastasis ( P<0.01). Multivariate Cox analysis revealed that Eastern Cooperative Oncology Group (ECOG) score 1, postoperative carcinoembryonic antigen (CEA) ≥15 μg/L, poor tumor differentiation, postoperative local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastases are independent risk factors for postoperative recurrence and metastasis (all P<0.05). Conclusions:Considerable prognostic heterogeneity exists in postoperative PC patients depending on the site and pattern of recurrence or metastasis. Specifically, lung metastasis portends a significantly more favorable prognosis than liver metastasis, peritoneal metastasis, local recurrence, or multiple sites metastases. ECOG score 1, postoperative CEA≥15 μg/L, poor tumor differentiation, postoperative local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastases are independent risk factors for OS in postoperative PC patients.