In recent years, growing evidence indicates that the nervous system plays an indispensable role in tumor development and metastasis. Elucidating crosstalk between the nervous system and tumor progression has thrived as a hot topic and a new direction for understanding cancer pathogenesis. Notably, many novel discoveries have suggested that neurotransmitter receptors (NRs) are not only widely expressed in cancer cells, but also play key roles in regulating cancer initiation and progression by diverse approaches. In this review, we summarized the latest advance in cancer neuroscience, especially emphasizing the important roles of different NRs in cancer development and prevention. The exemplary studies presented herein illustrate the emerging view that NRs are profoundly influential, manifested in tumor growth, apoptosis, angiogenesis, metastasis, resistance to drugs, and participate in the formation of neural-cancer interactions. In addition, NRs also regulate cellular metabolic processes and tumor microenvironment (TME) remodeling. More importantly, numerous basic and clinical studies have suggested that NRs may be potential targets for cancer treatments, and corresponding agonists or antagonists have been identified effectively in controlling tumor growth and metastasis. In conclusion, NRs are emerging as novel targets for anti-cancer drug exploration and clinical cancer treatments, while trying to uncover deeper mechanisms and connections between NRs and cancer is of high clinical significance and translational value.
Humans ; Neoplasms/metabolism* ; Receptors, Neurotransmitter/physiology* ; Animals ; Tumor Microenvironment/physiology*

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Objective:To analyze the prognostic factors and the influence of surgical margin to prognosis.Methods:A retrospective analysis was performed for 208 pelvic tumors who received surgical treatment from January 2000 to December 2017 in our instituition. Survival analysis was performed using the Kaplan-Meier method and Log rank test, and impact factor analysis was performed using Cox regression models.Results:There were 183 initial patients and 25 recurrent cases. According to Enneking staging, 110 cases were stage ⅠB and 98 cases were stage ⅡB. 19 lesions were in zone Ⅰ, 1 in zone Ⅱ, 15 in zone Ⅲ, 29 in zone Ⅰ+Ⅱ, 71 in zone Ⅱ+Ⅲ, 29 in zone Ⅰ+Ⅳ, 35 in zone Ⅰ+Ⅱ+Ⅲ, 3 in zone Ⅰ+Ⅱ+Ⅳ, and 6 in zone Ⅰ+Ⅱ+Ⅲ+Ⅳ. Surgical margins including Intralesional excision in 7 cases, contaminated margin in 21 cases, marginal resection in 67 cases, and wide resection in 113 cases. Local recurrence occurred in 37 cases (17.8%), 25 cases were performed by reoperation and 12 cases received amputation finally. The 5-year recurrence rate of marginal resection was higher than wide resection ( P＜0.05), and the recurrence-free survival rate of marginal resection was lower than wide resection ( P＜0.05). There was significant differences in recurrence rate and recurrence-free survival rate between R0 and R1 resection ( P＜0.05). 92 cases were not reconstructed and 116 cases were reconstructed after pelvic surgery. At the last follow-up, 63 patients (30.3%) died, and the 5-year, 10-year and 15-year survival rates were 70.4%, 66.8% and 61.3%, respectively. The 5-year survival rate of stage ⅠB and ⅡB tumor was 90.4% and 46.8%, respectively. There were 29 cases had postoperative wound complications (13.8%), 1 case with pelvic organ injury. The final function was evaluated in 132 patients, with an average MSTS score of 25.1±3.6. Cox multivariate analysis showed that surgical staging, R0/R1 margin and metastasis were independent prognostic factors for pelvic tumors. Conclusions:The safe surgical margin is the key factor for recurrence-free of pelvic tumor. The survival rate of stage ⅡB pelvic tumors was significantly lower than that of stage ⅠB tumors. Wound infection is the main postoperative complication. Surgical staging, R0/R1 margin and metastasis were independent prognostic factors of pelvic tumors.

Objective To investigate the diagnostic value of immunophenotype in distinguishing acute promyelocytic leukemia(APL)from HLA-DR negative acute myeloid leukemia(AML)using flow cytometry.Methods A retrospective observational study was con-ducted including 42 APL patients and 28 newly diagnosed or relapsed HLA-DR negative AML patients admitted to our hospital from 2014 to 2024.Immunophenotype analysis was performed on bone marrow aspirate samples using flow cytometry.The positive expression rates of CD64,MPO,CD7,CD11c,CD9,CD123 and other antigens were compared between the two groups using the Chi-square test.The diagnostic efficiency of the CD9/123 and CD64+MPO+CD7 CD11c-models for APL was evaluated using receiver operating charac-teristic(ROC)curves.Results The HLA-DR negative AML group exhibited significantly lower positive rates of CD64,CD9 and MPO(P＜0.05),and higher positive rates of CD11c and CD7(P＜0.05)compared to APL group.The CD64+MPO+CD7-CD11c-model had an area under the curve(AUCROC)of 0.859,sensitivity of 93.8％and specificity of 75.0％for distinguishing APL.The CD9/CD123 expression pattern had AUCROC of 0.919,sensitivity of 83.3％and specificity of 84.0％for APL diagnosis.The combined CD9/123 and CD64+MPO+CD7-CD11c-model had AUCROC of 0.955,sensitivity of 83.3％and specificity of 100％.Conclusion The combined CD9/123 and CD64+MPO+CD7-CD11c-expression pattern may serve as a helpful tool for differentiating APL from HLA-DR negative AML.

Objective To investigate the reasons for the inconsistent results between the vertical auto profile(VAP)method and bio-chemical homogeneous phase(BHP)method in detecting plasma low-density lipoprotein cholesterol(LDL-C),and provide experimen-tal basis for the accurate and quantitative detection of plasma LDL-C levels.Methods A total of 360 plasma samples from diabetes mellitus patients combined with carotid plaque admitted to the Department of Endocrinology of Ningbo Yinzhou Hospital of Traditional Chinese Medicine during January,2022 and January,2023 were collected.The LDL-C levels of these samples were detected by the VAP method and BHP method,respectively.The VAP method uses software to automatically calculate the area under the LDL-C curve after centrifugation of the sample as the LDL-C level(LDL-CVAP)and the BHP method directly detects the LDL-C level(LDL-CBHP)by the special surfactant method.360 samples were divided into the consistent group(group A)and inconsistent group(group B)ac-cording to the relative deviation between the LDL-CBHP and LDL-CVAP methods.Group B was further divided into the LDL-CBHP on the high side group(Group B1)and LDL-CBHP on the low side group(Group B2).Groups B1 and B2 were divided into B1-1,B1-2,B1-3 and B2-1 groups based on the degree of relative deviation.The percentages of samples and levels of lipoprotein a cholesterol[Lp(a)-C],intermediate-density lipoprotein cholesterol(IDL-C),Lp(a)-C and IDL-C[Lp(a)-C+IDL-C],very low-density lipo-protein cholesterol(VLDL-C),total cholesterol(TC)and total triglyceride(TG)in each group were compared.Results The LDL-CBHP levels of 360 samples were significantly higher than that of LDL-CVAP(P＜0.01).The percentage of samples in group B was significantly higher than that in group A,and that of group B1 was significantly higher than that of group B2(P＜0.05).The levels of Lp(a)-C,IDL-C and Lp(a)-C+IDL-C in groups B1-1,B1-2,and B1-3 were significantly higher than those in group A(P＜0.01).The relative deviation between LDL-CBHP and LDL-CVAP in 360 samples was significantly positively correlated with the levels of Lp(a)-C,IDL-C,and Lp(a)-C+IDL-C(P＜0.01).The maximum correlation coefficient was found in Lp(a)-C+IDL-C.Conclusion The results of plasma LDL-C in diabetes mellitus patients combined with carotid plaque detected by the BHP method are significantly different from those detected by the VAP method,which mainly shows that the results of the BHP method are on the high side.The higher the level of plasma Lp(a)-C+IDL-C,the greater the relative deviation between the BHP method and VAP method.The reason for the high results of LDL-C detected by the BHP method may be related to the fact that LDL-CBHP contains irremovable Lp(a)-C and cholesterol carried by IDL-C.The VAP method can be used as an accurate method for detecting real LDL-C without Lp(a)-C and IDL-C.

Objective:To analyze the prognostic factors and the influence of surgical margin to prognosis.Methods:A retrospective analysis was performed for 208 pelvic tumors who received surgical treatment from January 2000 to December 2017 in our instituition. Survival analysis was performed using the Kaplan-Meier method and Log rank test, and impact factor analysis was performed using Cox regression models.Results:There were 183 initial patients and 25 recurrent cases. According to Enneking staging, 110 cases were stage ⅠB and 98 cases were stage ⅡB. 19 lesions were in zone Ⅰ, 1 in zone Ⅱ, 15 in zone Ⅲ, 29 in zone Ⅰ+Ⅱ, 71 in zone Ⅱ+Ⅲ, 29 in zone Ⅰ+Ⅳ, 35 in zone Ⅰ+Ⅱ+Ⅲ, 3 in zone Ⅰ+Ⅱ+Ⅳ, and 6 in zone Ⅰ+Ⅱ+Ⅲ+Ⅳ. Surgical margins including Intralesional excision in 7 cases, contaminated margin in 21 cases, marginal resection in 67 cases, and wide resection in 113 cases. Local recurrence occurred in 37 cases (17.8%), 25 cases were performed by reoperation and 12 cases received amputation finally. The 5-year recurrence rate of marginal resection was higher than wide resection ( P＜0.05), and the recurrence-free survival rate of marginal resection was lower than wide resection ( P＜0.05). There was significant differences in recurrence rate and recurrence-free survival rate between R0 and R1 resection ( P＜0.05). 92 cases were not reconstructed and 116 cases were reconstructed after pelvic surgery. At the last follow-up, 63 patients (30.3%) died, and the 5-year, 10-year and 15-year survival rates were 70.4%, 66.8% and 61.3%, respectively. The 5-year survival rate of stage ⅠB and ⅡB tumor was 90.4% and 46.8%, respectively. There were 29 cases had postoperative wound complications (13.8%), 1 case with pelvic organ injury. The final function was evaluated in 132 patients, with an average MSTS score of 25.1±3.6. Cox multivariate analysis showed that surgical staging, R0/R1 margin and metastasis were independent prognostic factors for pelvic tumors. Conclusions:The safe surgical margin is the key factor for recurrence-free of pelvic tumor. The survival rate of stage ⅡB pelvic tumors was significantly lower than that of stage ⅠB tumors. Wound infection is the main postoperative complication. Surgical staging, R0/R1 margin and metastasis were independent prognostic factors of pelvic tumors.

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.

Objective To explore the role of an artificial intelligence(AI)model based on real-time object detection network in fetal facial ultrasound examination.Methods With the normal fetal facial ultrasound standard plane(FFUSP)at 20-24 weeks of gestation as the research object,a FFUSP recognition model based on real-time object detection network was constructed.The recognition accuracy of the model for FFUSP and the anatomical structures were analyzed,and the clinical value was evaluated by analyzing its performance in identifying FFUSP in 119 cases of fetal ultrasound images.Results The overall precision,recall rate,mAP@.5 and mAP@.5:.95 of the AI model were 97.8%,98.5%,98.1%and 61.0%,respectively.The clinical validation showed that the AI model had a sensitivity,specificity,positive predictive value,negative predictive value and accuracy of 100.0%,98.5%,87.4%,100.0%and 98.7%for facial anatomy recognition,and the results were highly consistent with the classification of fetal ultrasound experts(k=0.925,P<0.001).The recognition accuracy of the model for 3 types of standard planes reached 100%;and the average speed of dynamic video detection was 33.93 frames per second.Conclusion The FFUSP recognition model based on real-time object detection network exhibits excellent performance,and it can be applied to real-time ultrasound diagnosis,teaching and intelligent quality evaluation.

Objective:To investigate the potential source of infection for a cluster outbreak of human brucellosis in Yantai City, Shandong Province.Methods:The information of a human brucellosis cluster outbreak case in Yantai City, Shandong Province in 2022 was collected, the strains were isolated and cultured, and DNA was extracted. BCSP31-PCR was used for species identification, and AMOS-PCR was used for species type identification. Multiple locus variable-number tandem-repeat analysis (MLVA)-16 was used for clustering analysis, and the results were compared with the public database MLVAbank and the monitoring data of Brucella in Shandong Province in 2022. At the same time, whole genome single nucleotide polymorphism (wgSNP) typing was used to analyze the 53 Brucella strains that had completed whole genome sequencing in Shandong Province in 2022, and the wgSNP phylogenetic tree was constructed. Results:According to BCSP31-PCR and AMOS-PCR identification, the three strains related to the cluster outbreak of brucellosis in Yantai City, Shandong Province in 2022 were all Brucella melitensis biotype. The results of MLVA-16 typing showed that the MLVA-16 typing of the three isolated strains was completely consistent, with 16 tandem repeat loci of 1-5-3-13-2-2-3-2-4-41-8-4-4-3-6-5, belonging to the Eastern Mediterranean clade. Compared with MLVAbank, the MLVA-16 typing of two strains isolated from Kazakhstan was consistent with the results of this study. Compared with the monitoring data of Brucella in Shandong Province in 2022, it was found that the MLVA-16 typing of 11 isolated strains was consistent with the results of this study, which were isolated from Zaozhuang, Linyi, Taian, Yantai, and Weifang cities, respectively. The results of wgSNP typing showed that the distance between the 11 strains and the strains of the current outbreak was less than 7 single nucleotide polymorphisms, and the strains were isolated from Taian, Zibo, Linyi, Binzhou, Jinan, Jining, Yantai and Weihai cities, respectively. Conclusion:After tracing the source of a human brucellosis cluster outbreak in Yantai City, Shandong Province in 2022, it is speculated that the strains of Brucella melitensis isolated from Linyi, Taian and Yantai cities are closely related, indicating that sheep in these areas have homology.