Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Gastrointestinal (GI) cancers are a leading cause of cancer morbidity and mortality worldwide. Despite advances in treatment, cancer relapse remains a significant challenge, necessitating novel therapeutic strategies. In this study, we engineered nanobody-based chimeric antigen receptor (CAR) natural killer (NK) cells targeting cadherin 17 (CDH17) for the treatment of GI tumors. In addition, to enhance the efficacy of CAR-NK cells, we also incorporated CV1, a CD47-SIRPα axis inhibitor, to evaluate the anti-tumor effect of this combination. We found that CDH17-CAR-NK cells effectively eliminated GI cancers cells in a CDH17-dependent manner. CDH17-CAR-NK cells also exhibit potent in vivo anti-tumor effects in cancer cell-derived xenograft and patient-derived xenograft mouse models. Additionally, the anti-tumor activity of CDH17-CAR-NK cells is synergistically enhanced by CD47-signal regulatory protein α (SIRPα) axis inhibitor CV1, likely through augmented macrophages activation and an increase in M1-phenotype macrophages in the tumor microenvironment. Collectively, our findings suggest that CDH17-targeting CAR-NK cells are a promising strategy for GI cancers. The combination of CDH17-CAR-NK cells with CV1 emerges as a potential combinatorial approach to overcome the limitations of CAR-NK therapy. Further investigations are warranted to speed up the clinical translation of these findings.

OBJECTIVE To provide reference for medication therapy management （MTM） of diabetic patients complicated with cardiovascular disease. METHODS A 63-year-old male diabetic patient who suffered from temporary headache every morning after percutaneous coronary intervention （PCI） visited the neurology department of our hospital， and then was recommended to the pharmaceutical outpatient department. The pharmacists thought that the patient’s symptoms of headache， severe constipation and hyperuricemia were more likely induced by the medication used. The pharmacists further found that his atherosclerotic cardiovascular disease （ASCVD） influencing factors such as blood pressure， heart rate， blood glucose and blood lipids did not reach standard. The pharmacists provided MTM services for the patient through pharmacy inquiry and adverse drug reactions judgement， medication evaluation， medication reconciliation， medication education and pharmacy follow-up. RESULTS Through fifteen MTM services for thirteen weeks， the pharmacists reconciliated and optimized the medication therapy plan， discontinued the use of Isosorbide mononitrate sustained-release tablets， Nifedipine controlled-release tablets， and Indapamide tablets， which caused adverse drug reactions； the number of drugs was adjusted from fifteen to seven， and the symptom of headache disappeared； severe constipation had also been significantly improved， and hyperuricemia dropped to normal range. The ASCVD influencing factors of blood pressure， heart rate， fasting plasma glucose， glycosylated hemoglobin， low-density lipoprotein cholesterol and uric acid were reduced from ＞140/90 mmHg（1 mmHg＝0.133 kPa）， 70-80 beats per minute， 7.71 mmol/L， 7.2%， 2.13 mmol/L and 494 μmol/L before MTM services to ＜130/80 mmHg， 55-60 beats per minute， 6.22 mmol/L， 6.3%， 1.55 mmol/L and 348 μmol/L after MTM services. CONCLUSIONS The pharmacists providing MTM services to the patients can improve their quality of life and therapeutic efficacy， reduce medication risks， and enhance the level of rational drug use in hospitals and pharmaceutical service capabilities.

Hepatocellular carcinoma （HCC） is the sixth most common cancer in the world. In recent years， the clinical early diagnosis and treatment protocols of HCC have been improved， whereas the prognosis of patients is still not satisfactory， which is due to the fact that the mechanism of HCC development has not been fully elucidated. Therefore， it is of great significance to explore the molecular mechanisms and key regulatory links of hepatocellular carcinoma development to further improve the diagnosis and treatment of HCC in China. Epigenetics has become a research hotspot because of its reversibility and easy regulation. According to relevant studies， HCC involves the accumulation of multiple genetic and epigenetic changes during the initiation， promotion， and progression stages. HCC is categorized as infantile malnutrition with accumulation， hypochondriac pain， tympan ites， and abdominal mass in traditional Chinese medicine （TCM）. In the treatment of HCC， TCM with low toxicity， multi-targets， and multi-mechanisms can inhibit tumor growth， alleviate the clinical symptoms， and enhance the quality of life of the patients. Chinese medicines and their active ingredients exert anti-HCC effects through epigenetic regulation of DNA methylation， histone modification， and non-coding RNA. Abnormal gene expression due to epigenetic regulation disorders is involved in all stages of HCC development. There are few studies on epigenetic regulation in TCM treatment of HCC， and there is still much room for development in basic and clinical trials. This paper reviews the mechanism of epigenetic regulation in HCC and summarizes the experimental results of TCM research on the related mechanism， with a view to providing a theoretical basis for future research on the mechanism of HCC development and clinical diagnosis and treatment of hepatocellular carcinoma with TCM.

Objective To compare different treatment methods for patients with gastric calculi and provide data support for clinical treatment.Methods A total of 197 patients diagnosed with gastric calculi by gastroscopy at the General Hospital of Ningxia Medical University and Cardio-Cerebrovascular Disease Hospital of General Hospital of Ningxia Medical University from July 2013 to January 2024 were enrolled.The study collected general information and other data of the patients,and divided them into groups based on the selected treatment method using a real-world research approach.The subjects were divided into four groups:drug conservative treatment group,endoscopic homemade snare treatment group,disposable snare treatment group,and stone fragmentation treatment group.Statistical analysis was performed using one-way analysis of variance.Results Gastric calculi were more common in men,with an average age of(55.45±14.21).85.3%of the patients had a history of eating persimmon,86.3%had ulcers,and 65.9%were located in the gastric angle.The self-made snare group had the lowest treatment cost,while the stone fragmentation group had the highest.There was no significant difference in the remission time of clinical symptoms among the three endoscopic treatment methods.The self-made snare had the highest patient satisfaction,but the drug combined with carbonated beverage group had the longest remission time of clinical symptoms and the lowest patient satisfaction.The frequency and duration of endoscopic treatment of dark green gastric stones were significantly higher than those of mottled and golden yellow gastric stones.Conclusion When treating patients with gastric stones,it is important to consider the size and color of the stone,as well as the patient's preferences.Patients should be fully informed about their condition and the advantages of different treatments.For patients with larger stones(about 5 cm),endoscopic snare treatment is recommended as the first choice.

Objective:To explore the curative effect of 308nm excimer laser combined with halometasone cream on vitiligo.Methods:A total of 100 patients with vitiligo who admitted to PLA Rocket Force Characteristic Medical Center from January 2022 to January 2023 were selected.They were randomly divided into control group(50 cases)which underwent treatment by halometasone cream,and observation group(50 cases)which underwent treatment by 308nm excimer laser combined with halometasone cream.The levels of T cell subpopulations(CD3+,CD4+,CD8+),inflammatory cytokines[interleukin-10(IL-10),interleukin-17(IL-17),interleukin-23(IL-23)],serum monocyte chemotactic protein-1(MCP-1)and soluble intercellular adhesion molecules-1(sICAM-1)between two groups were compared,and the effective rate of treatment and the incidence of adverse reaction between two groups were also compared.Results:The effective rate of treatment of the observation group was 96.00%(48/50),which was significantly higher than that[82.00%(41/50)]of control group,and the difference was significant(x2=5.005,P＜0.05).After treatment,the CD3+,CD4+and CD4+/CD8+levels of the observation group increased,while the CD8+level decreased,and the difference of T cell subpopulations between two groups were significant after treatment(t=6.745,2.406,3.969,3.998,P＜0.05),respectively.After treatment,the IL-10 level of observation group was higher than that of control group,while the IL-17,IL-23,MCP-1 and sICAM-1 levels of observation group were significantly lower than those of control group(t=11.607,5.892,9.140/9.920,14.682,P＜0.05),respectively.The incidence of adverse reaction of observation group and control group were respectively 14.00%(7/50)and 10.00%(5/50),and the difference of that between the two groups was no significant(P＞0.05).Conclusion:308nm excimer laser combined with halometasone cream has a favorable effect in treating vitiligo,which can improve the levels of T cell subpopulations,inflammatory cytokines,MCP-1 and sICAM-1.It does not increase adverse reactions.Therefore,it has a certain clinical value.

Objective:To develop the anti-CD30 monoclonal antibody 64Cu-1, 4, 7-trizacyclononane-1, 4, 7-triacetic acid (NOTA)-CD30 and visualize CD30 expression in lymphoma non-invasively. Methods:The CD30 expression levels of 5 cell lines (Karpas299, Raji, Daudi, Ramos, and U266) were assessed by Western blot. Cell lines with high and low CD30 expression were selected for flow cytometry to evaluate the specific binding affinity of anti-CD30 monoclonal antibody. Thirteen NSG mice were used to established CD30 positive and negative subcutaneous xenograft models. 64Cu-NOTA-CD30 was obtained and 64Cu-NOTA-immunoglobulin (Ig)G was used as the control. ImmunoPET imaging was performed 2, 24, and 48 h after the injection of 64Cu-NOTA-CD30 or 64Cu-NOTA-IgG. Finally, the biodistribution studies were conducted. Repeated-measures analysis of variance and Bonferroni test were conducted for comparison. Results:Karpas299 showed the highest CD30 expression, while Raji showed the lowest. Flow cytometry showed specific binding affinity of the anti-CD30 monoclonal antibody to the Karpas299 cell line. The radiochemical purities of the probes were both higher than 95%. In microPET, the 64Cu-NOTA-CD30 uptake of Karpas299 xenograft tumors increased over time, with (11.46±0.58), (17.60±1.16) and (19.46±0.99) percentage activity of injection dose per gram of tissue (%ID/g) at 2, 24 and 48 h respectively. The contrast to normal tissue was good at 48 h, with the tumor/heart (blood) ratio of 2.20±0.22. The uptake of 64Cu-NOTA-CD30 in Karpas299 tumor at 48 h after injection was significantly higher than that in Raji tumor ((6.10±1.03) %ID/g) and 64Cu-NOTA-IgG in Karpas299 tumor ((5.12±0.89) %ID/g; F=290.99, t values: 19.65 and 22.25, all P<0.001). The uptake of 64Cu-NOTA-CD30 and the control probe in the heart and liver decreased over time in all groups. Ex vivo biodistribution at 48 h was mainly consistent with the results of microPET in vivo. Conclusions:64Cu-NOTA-CD30 is able to visualize the expression level and distribution of CD30 non-invasively. It is promising to be applied for screening the beneficial groups and evaluating efficacy for CD30-targeted immunotherapy.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.