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.

Objective To explore the efficacy of endoscopic minimally invasive release surgery and ultrasound-guided percutaneous needle knife release in treating carpal tunnel syndrome(CTS).Methods A total of 96 patients with CTS,who received treatment at Yixing People's Hospital and Wuxi Ninth Hospital Orthopedic Hospital from January 2021 to December 2024,were selected for this study.Using a random number table method,the 96 patients were divided into an endoscopic group and an ultrasound group,with 48 patients in each group.The patients of endoscopic group received endoscopic minimally invasive release surgery,while the patients of ultrasound group received ultrasound-guided needle knife treatment.The surgical indicators,efficacy,wrist function,median nerve electrophysiological indicators,anatomical indicators,efficacy,and safety were compared between the two groups.Results In the ultrasound group,the surgical duration and postoperative recovery time were shorter than those in the endoscopic group(P＜0.05),and the surgical cost was lower than that in the endoscopic group(P＜0.05).The postoperative Symptom Severity Score(SSS)and Functional Status Scale(FSS)score of both groups were decreased when compared with their preoperative values(P＜0.05),and the SSS and FSS of the ultrasound group were lower than those of the endoscopic group(P＜0.05).After treatment,the resting pain score and activity pain score of both groups were decreased when compared with their preoperative values(P＜0.05),and the resting pain score and activity pain score in the ultrasound group were lower than those in the endoscopic group(P＜0.05).After treatment,both groups showed a reduction in median nerve flattening ratio(FR)and transverse carpal ligament(TCL)thickness when compared with their preoperative values(P＜0.05),and the reduction degree in the ultrasound group was greater than that in the endoscopic group(P＜0.05).After treatment,both groups showed an increase in sensory nerve conduction velocity(SNCV),sensory nerve action potential amplitude(SNAP),and motor nerve action potential amplitude(CMAP)when compared with their preoperative values(P＜0.05),which in the ultrasound group showed a greater improvement than those in the endoscopic group(P＜0.05).The postoperative distal motor latency(DML)was decreased in both groups(P＜0.05),and the DML in the ultrasound group was lower than that in the endoscopic group(P＜0.05).The therapeutic efficacy in the ultrasound group was higher than that in the endoscopic group(P＜0.05).Conclusion Compared to endoscopic minimally invasive release surgery,ultrasound-guided needle knife treatment is more effective in promoting the recovery of wrist joint function in patients with CTS.It can effectively decrease the pain severity of patients,repair anatomical injuries in the wrist,promote the recovery of nerve electrophysiological indicators of the median nerve,with good safety and lower medical costs.

Objective To investigate the diagnostic value of serum bromodomain-containing pro-tein 4(BRD4)combined with gastrin-17(G-17)in Helicobacter pylori(Hp)-positive early gastric cancer.Methods A total of 88 patients with Hp-positive early gastric cancer admitted to our hospital from September 2021 to September 2023 were selected as early gastric cancer group.Meanwhile,92 patients with Hp-positive precancerous lesions and 80 patients with Hp-positive gastritis admitted dur-ing the same period were selected as precancerous lesion group and gastritis group,respectively.En-zyme-linked immunosorbent assay(ELISA)was used to detect the serum levels of BRD4 and G-17.Multivariate logistic regression analysis was performed to screen the influencing factors of Hp-positive early gastric cancer.Receiver operating characteristic(ROC)curve analysis was used to evaluate the diagnostic value of serum BRD4 and G-17 in Hp-positive early gastric cancer.Results Compared with the gastritis group,the levels of BRD4 and G-17 in the precancerous lesion group and early gastric cancer group were significantly increased(P＜0.05).Furthermore,compared with the precancerous le-sion group,the levels of BRD4 and G-17 in the early gastric cancer group were also significantly elevated(P＜0.05).The proportion of patients with a family history of gastric cancer,those who preferred hot food,cold food,or high-salt food,as well as the levels of PG Ⅱ,BRD4,and G-17 were signifi-cantly higher in the early gastric cancer group than in the non-gastric cancer group,while the level of pepsinogen(PG)Ⅰ was significantly lower(P＜0.05).Logistic regression analysis revealed that preference for hot food,high-salt food,PG Ⅱ,BRD4,G-17,and PG Ⅰ were all influencing factors for Hp-positive early gastric cancer(P＜0.05).The area under the curve(AUC)values for serum BRD4,G-17,and their combination in diagnosing Hp-positive early gastric cancer were 0.793,0.830,and 0.912,respectively.The diagnostic efficacy of the combined detection was superior to that of single detection(P＜0.05).Conclusion The serum levels of BRD4 and G-17 are elevated in patients with Hp-positive early gastric cancer,and both exhibit certain diagnostic value for Hp-positive early gastric cancer,suggesting their potential as serum biomarkers for the diagnosis of Hp-positive early gastric cancer.

Objective To mine adverse drug event(ADE)signals of doxycycline using the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,and provide scientific evidence for clinical medication safety.Methods The data from the FAERS database between the first quarter of 2004 and the first quarter of 2024 were extracted.After data cleaning and standardization,ADE reports with doxycycline as the main suspected drug were screened.The system organ class(SOC)of ADE was performed using MedDRA,and the reporting odds ratio method and Medicines and Healthcare products Regulatory Agency method were used to mine ADE signals.The information component method was also used to evaluate signal strength.Results A total of 43 126 ADE reports with doxycycline as the primary suspected drug were collected,involving 14 642 patients,with a higher proportion of female patients(57.32％).There were 555 related ADE signals involving 26 SOC,with the top 5 SOC being gastrointestinal disorders,skin and subcutaneous tissue disorders,injuries,poisonings,and procedural complications,psychiatric disorders,and infections and infestations.The top 5 ADE signals with the highest signal intensity were Hatch reaction,sclerosing cholangitis,esophageal ulcer,gastrointestinal mucosal necrosis,and gastrointestinal injury.Among the ADE signals with the strongest signal strength not listed in the package insert,the top five were sclerosing cholangitis,nephrogenic diabetes insipidus,minimal change glomerular nephritis,diabetes insipidus and Sixth cranial nerve paralysis.Conclusion In clinical practice,particular attention should be paid to the frequent ADEs caused by doxycycline,as well as those not yet documented in the package insert,which involve multiple SOC such as renal and urinary disorders,hepatobiliary diseases,blood and lymphatic system disorders,and endocrine disorders.Therefore,clinical pharmacists should play a key role in assisting clinicians to develop and implement prevention plans for ADEs,thereby improving the safety of doxycycline in clinical use.

Objective To investigate the factors involved in the development of thyroid nodules and the correlation between homocysteine(Hcy)and albumin-globulin ratio(AGR)and thyroid autoantibodies in adults.Methods As a retrospective study,a total of 1 427 people who received physical examination at the Second Hospital Affilia-ted to Hebei North College from October 2019 to August 2020 and the clinical data of the subjects who fulfilled the criteria of NAR were selected for analysis by simple random sampling.All of subjects underwent thyroid color ultrasound scanning and were divided into a control group(without thyroid nodules,n=52)and an observation group(with thyroid nodules,n=48).The general clinical data of the two study groups were compared,and the correlation between Hey and AGR and thyroid autoantibodies was analyzed.Confunding factors affecting the inci-dence of thyroid nodules were screened using multifactorial unconditional logistic regression analysis.Results The observation group showed statistically significant differences in gender,age,diastolic blood pressure,systolic blood pressure,Hey,AGR,TGAb,and TPOAb as compared to the control group(P＜0.05);Using adult Hcy as the dependent variable and Spearman's correlation analysis of AGR,TGAb and TPOAb,adult Hcy was nega-tively correlated with AGR(r=-0.384,P＜0.05)and TGAb and TPOAb were positively correlated(r=0.218,0.224,P＜0.05);Using age,sex,diastolic blood pressure,systolic blood pressure,Hcy,AGR TGAb and TPOAb as independent variables and thyroid nodules as dependent variables,a multifactor logistic regression analysis was performed in 100 subjects who experienced physical check.The analysis showed that age ≥40 years and female were relevant factors for the development of thyroid nodules factors(P＜0.05),Hcy,AGR,TGAb and TPOAb were correlated with thyroid nodules(P＜0.05).Conclusions Thyroid nodules are more common in middle-aged women,and there is a correlation between Hcy,AGR,TGAb,and TPOAb levels and thyroid nod-ules.Regular thyroid screening examination should be carried out based on the above indicators.

Objective:To establish a method of serum detection by Raman spectroscopy for the diagnosis of gastric cancer.Methods:Between April and November 2019, 110 patients with gastric cancer [73 males, 37 females, age (57.4±10.3) years] and 74 patients with colorectal cancer [48 males and 26 females, aged (58.3±12.2) years] were collected at the First Affiliated Hospital of Army Military Medical University, along with 100 healthy subjects [59 males and 41 females, aged (55.6±10.61) years] during the same period. Fasting venous blood serum samples were collected from the subjects. A Raman spectrometer XploRA PLUS was used in this experiment, with an excitation light source of 532 nm, a field of view of 100 times, and a spectrum range of 200-2 000 cm -1, etc. The serum samples were detected by nondestructive and non-contact rapid detection, and the Raman spectra of serum samples were collected. Using the Raman spectrum acquisition and processing supporting software LabSpec6 to smooth, baseline, and normalize the obtained Raman spectrum. Multivariate statistical analysis software SIMCA14.1 were applied to import and analyze the obtained Raman spectrum data by principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and other methods for statistical analysis. An operating characteristic curve (ROC) was constructed to evaluate the model analysis effect between serum samples of healthy people and those with gastric cancer. Serum samples from the colorectal cancer group were used to verify the reliability of the model. Results:Six Raman peaks with good repeatability were detected in serum samples in health and gastric cancer group, and peaks were located at 1 001.17, 1 154.63, 1 337.89, 1 446.85, 1 515.33, and 1 658.34 cm -1, respectively. Raman intensities at six Raman peaks were significantly different between healthy and gastric cancer groups. At the displacement of 1 001.17, 1 154.63, and 1 515.33 cm -1, the Raman intensity in the healthy group was higher than that in the gastric cancer group. At 1 337.89, 1 446.85, and 1 658.34 cm -1 displacement, the Raman intensity of the gastric cancer group was higher than that of the healthy group. An OPLS-DA model was constructed to analyze the serum samples of the healthy group and the gastric cancer group. In the model, R 2 is the fitting power, and Q 2 is the predictive ability. The closer the values of R 2 and Q 2 are to 1, the better the performance of the model, and the obtained model's R 2X(cum)=0.809, R 2Y(cum)=0.819, Q 2(cum)=0.758. ROC characteristic curve was drawn based on the OPLS-DA model. The area under the curve (AUC) of the gastric cancer group was 0.998. Six peaks with good repeatability were detected in the serum Raman spectra of gastric cancer stage Ⅰ, Ⅱ, Ⅲ, and Ⅳ, which were located at the displacement of 1 001.85, 1 155.07, 1 338.36, 1 445.75, 1 515.92, and 1 657.68 cm -1, respectively, and at the displacement of 1 155.07 and 1 515.92 cm -1. The Raman intensity of gastric cancer stage Ⅳwas significantly higher than that of gastric cancer stages Ⅰ, Ⅱ, and Ⅲ. Conclusions:According to the model reliability verification, the healthy group, gastric cancer group and colorectal cancer group can also be effectively separated based on OPLS-DA results; it showed a good performance in separating the healthy group from the gastric cancer group. It is possible to detect serum samples from healthy people and gastric cancer patients unlabeled by combining Raman spectroscopy and the OPLS-DA method in multivariate statistics.

Melatonin is a neuroamine hormone secreted mainly by the pineal gland of mammals. It regulates the mechanisms related to circadian rhythm and reproduction in the central and peripheral systems of the body. Additionally, it also has powerful effects about antioxidant, anti-inflammatory, anti-apoptosis, anti-tumor, autophagy regulation, endocrine regulation and so on. An increasing number of researches suggest that melatonin plays an important role in the prevention and treatment of diseases of the female reproductive system, thus improving the outcome of female infertility. This review summarized the progress of the research on the reproductive regulation of melatonin and the role of melatonin in several common diseases that lead to female infertility.

Melatonin is a neuroamine hormone secreted mainly by the pineal gland of mammals. It regulates the mechanisms related to circadian rhythm and reproduction in the central and peripheral systems of the body. Additionally, it also has powerful effects about antioxidant, anti-inflammatory, anti-apoptosis, anti-tumor, autophagy regulation, endocrine regulation and so on. An increasing number of researches suggest that melatonin plays an important role in the prevention and treatment of diseases of the female reproductive system, thus improving the outcome of female infertility. This review summarized the progress of the research on the reproductive regulation of melatonin and the role of melatonin in several common diseases that lead to female infertility.