Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

Background/Aims: Transmembrane 4 L six family member 1 (TM4SF1) is highly expressed and contributes to the progression of various malignancies. However, how it modulates hepatocellular carcinoma (HCC) progression and senescence remains to be elucidated. Methods: TM4SF1 expression in HCC samples was evaluated using immunohistochemistry and flow cytometry. Cellular senescence was assessed through SA-β-gal activity assays and Western blot analysis. TM4SF1-related protein interactions were investigated using immunoprecipitation-mass spectrometry, co-immunoprecipitation, bimolecular fluorescence complementation, and immunofluorescence. Tumor-infiltrating immune cells were analyzed by flow cytometry. The HCC mouse model was established via hydrodynamic tail vein injection. Results: TM4SF1 was highly expressed in human HCC samples and murine models. Knockdown of TM4SF1 suppressed HCC proliferation both in vitro and in vivo, inducing non-secretory senescence through upregulation of p16 and p21. TM4SF1 enhanced the interaction between AKT1 and PDPK1, thereby promoting AKT phosphorylation, which subsequently downregulated p16 and p21. Meanwhile, TM4SF1-mediated AKT phosphorylation enhanced PD-L1 expression while reducing major histocompatibility complex class I level on tumor cells, leading to impaired cytotoxic function of CD8+ T cells and an increased proportion of exhausted CD8+ T cells. In clinical HCC samples, elevated TM4SF1 expression was associated with resistance to anti-PD-1 immunotherapy. Targeting TM4SF1 via adeno-associated virus induced tumor senescence, reduced tumor burden and synergistically enhanced the efficacy of anti-PD-1 therapy. Conclusions Our results revealed that TM4SF1 regulated tumor cell senescence and immune evasion through the AKT pathway, highlighting its potential as a therapeutic target in HCC, particularly in combination with first-line immunotherapy.

【Objective】 To explore the feasibility of en-bloc resection of bladder tumors by flexible cystoscope combined with laparoscopic instruments through urethra and to provide reference for the clinical application of this technique. 【Methods】 Self-designed and processed transurethral single-hole PORT and Olympus electronic cystoscope were used as observation mirror; Φ1.8 mm soft grasper, tissue scissors, electric hook, and ultrasonic scalpel were used as instruments; the porcine bladder was used as a model.The PORT was placed through the urethra, and the cystoscope was inserted to observe the inner wall of the bladder and the condition of the mucosa.After the lesion site was identified in the bladder cavity, the soft grasper was inserted to pull the mucosa to be removed, which was then fixed with tension at the target position to maintain a satisfactory feild of view.The surgeon held the cystoscope in the left hand, and operated the laparoscopic instruments into the bladder cavity through the PORT with the right hand.Observing with the cystoscope and lifting and pulling the mucosa with the grasper, the surgeon simulated the cutting and pushing actions to realize the en-bloc resection of the lesioned mucosa. 【Results】 The mucosa at 4 different locations were successfully resected on 2 in vitro porcine bladder models. 【Conclusion】 The in vitro experiments show that the combination of flexible electronic cystoscope and laparoscopic instruments achieves synergistic effects in en-bloc resection of bladder tumor by transurethral single-hole laparoscope without additional iatrogenic bladder injury caused by percutaneous bladder incision.This method is feasible in the treatment of bladder tumors, and has the potential of clinical application after further optimization.

A large-scale Class A tertiary comprehensive hospital in Hunan Province,as one of the first pilot units for pre-hospitalization in the province,has pioneered the exploration of a pre-hospitalization management model based on intensive bed management.Through measures such as streamlining the pre-hospitalization process,implementing refined services,establishing dedicated examination channels,and utilizing information technology for comprehensive management of pre-hospitalization pa-tients,the hospital has ensured the smooth implementation of pre-hospitalization work.Practical results have shown a significant reduction in the average length of hospital stay in surgical wards.For instance,the average length of stay in the Department of Breast Surgery and the Department of Otolaryngology decreased by 4.41 days and 3.29 days,respectively,when compared before and after implementation.This study will delve into the impact of the pre-hospitalization management model on reducing the aver-age length of hospital stay,providing a reference for large-scale hospitals in China to improve operational efficiency and alleviate the shortage of hospital beds.It also aims to offer insights into enhancing patient experience before hospitalization and improving overall patient satisfaction as part of initiatives to improve healthcare services.

Objective:To study the clinical application value of the data security governance path and countermeasures of information-based medical equipment maintenance management. Methods:The User Service Two Context (US2C) model was used to divide data governance indicators of medical equipment maintenance management,and the indicators of governance capability,governance effect and governance efficiency were evaluated from the conditional factors of users,services,internal environment and external environment,the necessity of antecedent factors and the coverage rate of combination conditions were analyzed by fuzzy set qualitative comparative analysis (fsQCA),and the security governance management path of security,data volume and system standardization was developed. The maintenance management data of 285 sets of medical equipment in clinical use in The Sixth Affiliated Hospital of South China University of Technology (Foshan Nanhai District People's Hospital) from 2020 to 2023 were selected,and the maintenance management data of 256 sets of equipment in the period from 2020 to 2021 adopted conventional management mode,and the maintenance management data of 268 sets (including 239 sets in use in conventional management) of medical equipment during 2022-2023 adopted the security governance model. A self-made questionnaire was used to investigate whether the amount of maintenance management data met the actual needs of 120 participants who used the equipment. The security,frequency of use and operation quality of medical equipment maintenance management data of the two management modes were compared. Results:The average risk rate of medical equipment maintenance management data using security governance mode was (1.333±0.741)％,which was lower than that of conventional management mode,the average accuracy and effectiveness were (93.925±3.432)％and (88.500±4.404)％,respectively,Which were higher those of the conventional management mode,the differences was statistically significant (t=2.298,4.784,P<0.05). The average satisfaction rate of the 120 participants who used the equipment was (94.367±3.093)％ of the medical equipment maintenance management data using the safety governance model,which was higher than that of the conventional management mode,and the difference was statistically significant (t=4.365,P<0.05). The frequency of use of medical equipment failure data,maintenance item data and management input data of the security governance mode were (4.092±1.709) times/year,(4.341±1.397) times/year and (3.821±0.976) times/year,respectively,which were higher than those of the conventional management mode,the difference was statistically significant (t=2.101,4.400,6.386,P<0.05). The failure frequencies of medical electronic equipment,life support equipment,operating room equipment,medical laboratory equipment and other medical equipment using the security governance mode were (0.831±0.335) times/year,(0.927±0.293) times/year,(1.085±0.439) times/year,(0.702±0.047) times/year and (1.456±0.485) times/year,respectively 0.485),which were lower than those of the conventional management mode,and the difference was statistically significant (t=5.330,5.486,4.756,6.974,3.598,P<0.05). Conclusion:The data security governance path and management countermeasures of information-based medical equipment maintenance management can standardize the medical equipment maintenance management data collection process,improve data security performance,improve data application efficiency,and improve equipment operation quality.

Objective:To study the clinical application value of the data security governance path and countermeasures of information-based medical equipment maintenance management. Methods:The User Service Two Context (US2C) model was used to divide data governance indicators of medical equipment maintenance management,and the indicators of governance capability,governance effect and governance efficiency were evaluated from the conditional factors of users,services,internal environment and external environment,the necessity of antecedent factors and the coverage rate of combination conditions were analyzed by fuzzy set qualitative comparative analysis (fsQCA),and the security governance management path of security,data volume and system standardization was developed. The maintenance management data of 285 sets of medical equipment in clinical use in The Sixth Affiliated Hospital of South China University of Technology (Foshan Nanhai District People's Hospital) from 2020 to 2023 were selected,and the maintenance management data of 256 sets of equipment in the period from 2020 to 2021 adopted conventional management mode,and the maintenance management data of 268 sets (including 239 sets in use in conventional management) of medical equipment during 2022-2023 adopted the security governance model. A self-made questionnaire was used to investigate whether the amount of maintenance management data met the actual needs of 120 participants who used the equipment. The security,frequency of use and operation quality of medical equipment maintenance management data of the two management modes were compared. Results:The average risk rate of medical equipment maintenance management data using security governance mode was (1.333±0.741)％,which was lower than that of conventional management mode,the average accuracy and effectiveness were (93.925±3.432)％and (88.500±4.404)％,respectively,Which were higher those of the conventional management mode,the differences was statistically significant (t=2.298,4.784,P<0.05). The average satisfaction rate of the 120 participants who used the equipment was (94.367±3.093)％ of the medical equipment maintenance management data using the safety governance model,which was higher than that of the conventional management mode,and the difference was statistically significant (t=4.365,P<0.05). The frequency of use of medical equipment failure data,maintenance item data and management input data of the security governance mode were (4.092±1.709) times/year,(4.341±1.397) times/year and (3.821±0.976) times/year,respectively,which were higher than those of the conventional management mode,the difference was statistically significant (t=2.101,4.400,6.386,P<0.05). The failure frequencies of medical electronic equipment,life support equipment,operating room equipment,medical laboratory equipment and other medical equipment using the security governance mode were (0.831±0.335) times/year,(0.927±0.293) times/year,(1.085±0.439) times/year,(0.702±0.047) times/year and (1.456±0.485) times/year,respectively 0.485),which were lower than those of the conventional management mode,and the difference was statistically significant (t=5.330,5.486,4.756,6.974,3.598,P<0.05). Conclusion:The data security governance path and management countermeasures of information-based medical equipment maintenance management can standardize the medical equipment maintenance management data collection process,improve data security performance,improve data application efficiency,and improve equipment operation quality.

Objective:To explore the feasibility of deep learning technology for renal artery recognition in retroperitoneal laparoscopic renal surgery videos.Methods:From January 2020 to July 2021, the video data of 87 cases of laparoscopic retroperitoneal nephrectomy, including radical nephrectomy, partial nephrectomy, and hemiurorectomy, were retrospectively analyzed. Two urological surgeons screened video clips containing renal arteries. After frame extraction, annotation, review, and proofreading, the labeled targets were divided into training set and test set by the random number table in a ratio of 4∶1. The training set was used to train the neural network model. The test set was used to test the ability of the neural network to identify the renal artery in scenes with different difficulties, which was uniformly transmitted to the YOLOv3 convolutional neural network model for training. According to the opinion of two senior doctors, the test set was divided into high, medium, and low discrimination of renal artery and surrounding tissue. High identification means a clean renal artery and a large exposed area. For middle recognition degree, the renal artery had a certain degree of blood immersion, and the exposed area was medium. Low identification means that the exposed area of the renal artery was small, often located at the edge of the lens, and the blood immersion was severe, which may lead to lens blurring. In the surgical video, the annotator annotated the renal artery truth box frame by frame. After normalization and preprocessing, all images were input into the neural network model for training. The neural network output the renal artery prediction box, and if the overlap ratio (IOU) with the true value box was higher than the set threshold, it was judged that the prediction was correct. The neural network test results of the test set were recorded, and the sensitivity and accuracy were calculated according to IOU.Results:In the training set, 1 149 targets of 13 videos had high recognition degree, 1 891 targets of 17 videos had medium recognition degree, and 349 targets of 18 videos had low recognition degree. In the test set, 267 targets in 9 videos had high recognition degree, 519 targets in 11 videos had medium recognition degree, and 349 targets in 18 videos had low recognition degree. When the IOU threshold was 0.1, the sensitivity and accuracy were 52.78% and 82.50%, respectively. When the IOU threshold was 0.5, the sensitivity and accuracy were 37.80% and 59.10%, respectively. When the IOU threshold was 0.1, the sensitivity and accuracy of high, medium and low recognition groups were 89.14% and 87.82%, 45.86% and 78.03%, 32.95%, and 76.67%, respectively. The frame rate of the YOLOv3 algorithm in real-time surgery video was ≥15 frames/second. The false detection rate and missed detection rate of neural network for renal artery identification in laparoscopic renal surgery video were 47.22% and 17.49%, respectively (IOU=0.1). The leading causes of false detection were similar tissue and reflective light. The main reasons for missed detection were image blurring, blood dipping, dark light, fascia interference, or instrument occlusion, etc.Conclusions:Deep learning-based renal artery recognition technology is feasible. It may assist the surgeon in quickly identifying and protecting the renal artery during the operation and improving the safety of surgery.

Objective:To prepare 68Ga-2-(4, 7-bis(carboxymethyl)-1, 4, 7-triazonan-1-yl)pentanedioic acid (NODAGA)-YHWYGYTPQNVI (GE11) and evaluate its feasibility of PET imaging for pancreatic cancer. Methods:GE11 peptide was conjugated with NODAGA and then labeled with 68Ga. The labeling yield, radiochemical purity, hydrophilicity, stability and specificity in vitro were determined. Human pancreatic cancer BxPC3 nude mice models ( n=9) were established. MicroPET imaging was then obtained after 30 and 90 min, and mice were sacrificed at 90 min to acquire the radioactivity distribution of main organs and tumors. Pair t test was used to analyze the data. Results:The labeling yield was (73.5±5.4)% and radiochemical purity was more than 98%. After incubation 120 min in mouse serum at 37 ℃, radiochemical purity was more than 92%. The uptake was specific in BxPC3 cell lines. MicroPET images showed that 68Ga-NODAGA-GE11 could accumulate quickly in tumor. Value of tumor uptake was significantly higher than that of normal pancreas at 90 min ((1.38±0.25) vs (0.49±0.07) %ID/g; t=12.67, P<0.05), and the radio-uptake of blood, muscle and bone was lower than that of tumor. Conclusions:68Ga-NODAGA-GE11 is easy to be prepared with high radiochemical purity and good stability, and can specifically target BxPC3 xenograft tumor. However, due to the high uptake in the kidneys and liver, the value of 68Ga-NODAGA-GE11 in PET imaging for pancreatic tumor needs further study.

Objective:A multi-center and large sample volume study was conducted on the verification and improvement of the early established criteria for intelligent routine urinalysis validation (including the microscopic review rules and manual validation rules, referred to as intelligent criteria for short), in order to improve the clinical application of this intelligent criteria.Methods:A total of 31 456 urine specimens were collected from the inpatients and outpatients in six hospitals in China, from March to September 2019. Firstly, 3105 specimens were analyzed for preliminary verification and improvement of the intelligent criteria based on the results of the microscopic examination and manual validation. Secondly, 28 351 specimens were used to verify the clinical application of the improved intelligent criteria. All samples were manually validated as reference.Results:The approval inconsistency rate of the manual validation rules in the original intelligent criteria was 8.59% (202/2 352), and the interception inconsistency rate was 8.84% (208/2 352). The false negative rate and the microscopic review rate of the microscopic review rules were similar to the previous results. Based on an in-depth analysis of big data and the discussions by senior technicians from eight hospitals, one microscopic review rules and four manual validation rules were added, meanwhile two manual validation rule was deleted. The manual validation standards were unified. Finally, the intelligent criteria was improved. Based on the improved intelligent criteria, for microscopic review rules, the false positive rate, false negative rate (misdiagnosis rate), and microscopic review rate did not change significantly, which were 14.72% (457/3 105), 4.06% (126/3 105), and 24.73% (768/3 105), respectively. The approval inconsistency rate and the interception inconsistency rate of manual validation rules were both reduced to 0; the total manual validation rate of the intelligent criteria was 50.89% (1 580/3 105), and the auto-validation rate was 49.11% (1 525/3 105). The large sample volume verification results were consistent with the preliminary verification results of the improved intelligent criteria.Conclusion:This multi-center and large sample volume study had shown that the improved intelligent criteria had better clinical performance.