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.

Aim To investigate the role and potential mechanism of methyltransferase-like 5 (METTL5) in triple-negative breast cancer (TNBC) . Methods The expression of METTL5 in TNBC tumor tissues and cell lines was detected by immunohistochemistry and Western blot. After shRNA targeting METTL5 (shRNAMETTL5) was transfected into TNBC cells, cell proliferation, migration and invasion were detected by CCK-8, colony formation, wound healing and Transwell assays, respectively. Western blot was used to detect the expression of Wnt/p-catenin signaling-related key proteins. A xenograft tumor model was constructed to verify the effect of METTL5 knockdown on the growth of TNBC cells and Wnt/p-catenin signaling activity in vivo. Results The expression of METTL5 was up-regulated in TNBC tumor tissues and cell lines (P < 0. 01) . Knockdown of METTL5 significantly inhibited the proliferation, migration and invasion of TNBC cells and reduced the expression of Wnt/p-catenin signaling molecules (3-catenin, cyclin Dl, matrix metalloproteinase (MMP) -2 and MMP-7 (all P < 0. 01) . Knockdown of METTL5 reduced tumor growth and Wnt/pcatenin signaling activity in vivo. Conclusions Knockdown of METTL5 can inhibit the proliferation, migration and invasion of TNBC cells, which may be related to the inhibition of Wnt/p-catenin signaling pathway.

Objective:To investigate the correlation factors of complete clinical response in idiopathic inflammatory myopathies(IIMs)patients receiving conventional treatment.Methods:Patients diagnosed with IIMs hospitalized in Peking University People's Hospital from January 2000 to June 2023 were in-cluded.The correlation factors of complete clinical response to conventional treatment were identified by analyzing the clinical characteristics,laboratory features,peripheral blood lymphocytes,immunological indicators,and therapeutic drugs.Results:Among the 635 patients included,518 patients finished the follow-up,with an average time of 36.8 months.The total complete clinical response rate of IIMs was 50.0％(259/518).The complete clinical response rate of dermatomyositis(DM),anti-synthetase syn-drome(ASS)and immune-mediated necrotizing myopathy(IMNM)were 53.5％,48.9％and 39.0％,respectively.Fever(P=0.002)and rapid progressive interstitial lung disease(RP-ILD)(P=0.014)were observed much more frequently in non-complete clinical response group than in complete clinical re-sponse group.The aspartate transaminase(AST),lactate dehydrogenase(LDH),D-dimer,erythrocyte sedimentation rate(ESR),C-reaction protein(CRP)and serum ferritin were significantly higher in non-complete clinical response group as compared with complete clinical response group.As for the treat-ment,the percentage of glucocorticoid received and intravenous immunoglobin(IVIG)were significantly higher in non-complete clinical response group than in complete clinical response group.Risk factor analysis showed that IMNM subtype(P=0.007),interstitial lung disease(ILD)(P=0.001),eleva-ted AST(P=0.012),elevated serum ferritin(P=0.016)and decreased count of CD4+T cells in peripheral blood(P=0.004)might be the risk factors for IIMs non-complete clinical response.Conclu-sion:The total complete clinical response rate of IIMs is low,especially for IMNM subtype.More effec-tive intervention should be administered to patients with ILD,elevated AST,elevated serum ferritin or decreased count of CD4+T cells at disease onset.

Objective:To investigate the indications and effects of arthroscopic all-inside reconstruction in the treatment of isolated posterior cruciate ligament (PCL) injury.Methods:A retrospective analysis was performed on 47 patients with isolated PCL injury, who underwent arthroscopic all-inside reconstruction in the Third Medical Center of the PLA General Hospital from January 2016 to January 2020. There were 39 males and 8 females, aged 27.14±7.70 years old (range 16-40 years old). The preoperative kneeling-position stress X-ray showed that the degree of tibial posterior displacement was 8-10 mm, which was a complete and isolated Grade II PCL injury. The tibial and femoral tunnels were created through posterior-medial, anteromedial, and anterolateral portals, while the lateral portal to the medial femoral condyle was enlarged to position the tibial tunnel and protect the anterior cruciate ligament. The autologous graft tendon was pulled through the femoral and tibial tunnels secured with an adjustable loop plate. The efficacy was evaluated by evaluating and comparing preoperative and postoperative Lachman test, posterior drawer test, knee range of motion and relaxation, pain visual analogue scale (VAS) and Lysholm score.Results:43 patients were followed up for 35.21±3.88 months (range 12-40 months). The symptoms of knee instability all improved after surgery. At the follow-up of 1 year after surgery, 41 (95%) and 40 (93%) patients showed normal or I-degree laxity in Lachman test and posterior drawer test, respectively. The active range of motion and passive flexion of the knee joint were increased to 90°-110° and 110°-130°, respectively. The Lysholm score was 86.44±4.08 at the first year of follow-up and 90.12±3.33 at the last follow-up with significant difference compared with pre-operations ( P<0.05). The VAS score was 2.07±0.94 at the first year of follow-up and 1.28±0.83 at the last follow-up with significant difference compared with pre-operations ( P<0.05). The Lysholm score and VAS were 90.12±3.33 and 1.28±0.83, which were significantly improved compared to 1-year-follow-up ( P<0.05). Conclusion:Routine kneeling stress X-rays can evaluate the degree of tibial posterior displacement in isolated PCL injuries. With tibial posterior displacement equal to or greater than 10 mm, surgical reconstruction was required. All-inside reconstruction of isolated PCL injury was a safe and minimally invasive surgery to improve symptoms and restore knee functions.

Naturally derived metabolites are valuable resources for drug research and development, and play an important role in the treatment of diseases. As the "second genome" of the body, gut microbiota is rich in metabolic enzymes, which interacts with external substances such as drugs, thus affecting the progression of diseases. This article summarizes the interaction between gut microbiota-producing enzymes and natural medicines, and focuses on the impact of this interaction on disease progression, hoping to provide new ideas for the development and pharmacological mechanism of natural medicines.

The abuse of novel phenylcyclohexylpyridine drugs poses a significant threat to societal safety. The novel psychoactive substance 2-methyl-deschloroketamine (2-MDCK), belonging to the phenylcyclohexylpyridine class, has recently surfaced as a new compound. However, there is a lack of understanding regarding its metabolic pathways and the identification of suitable biomarkers. In this study, a human liver microsomal model was established, and ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) technology was applied to investigate the in vitro metabolism and products of 2-MDCK. The results indicate that 2-MDCK undergoes various metabolic reactions, including dehydrogenation, deamination, hydroxylation, and demethylation, leading to the formation of eight metabolites. By conducting actual testing on hair samples from 2-MDCK abusers, the existence of six metabolites was confirmed. Comparing the metabolic products in the liver microsomal in vitro model, M3.1 and M4.1 were identified as biomarkers for 2-MDCK consumption. Five samples of abusers of 2-methyl-dechloroketamine were provided by the Anti-Drug Brigade of the Hangzhou Public Security Bureau. Negative hair samples were provided by laboratory volunteers, and all samples were obtained with the informed consent of the volunteers. These findings provide a scientific basis for the detection and identification of 2-MDCK and its metabolites, as well as crucial support for the study of the metabolic mechanisms of similar novel psychoactive substances in the phenylcyclohexylpyridine class. This research holds significant importance in addressing the issue of abuse of new psychoactive substances.

Humans ; Early Detection of Cancer ; Endoscopy ; Esophageal Neoplasms/epidemiology* ; Risk Factors ; Mass Screening

Objective:To explore the genetic basis for a Chinese pedigree affected with co-morbid Ornithine carbamoyl transferase deficiency (OTCD) and MECP2 duplication syndrome.Methods:A proband who was admitted to the Neonatal Intensive Care Unit of Gansu Provincial Maternal and Child Health Care Hospital on December 19, 2017 was selected as the study subject. High-throughput sequencing and multiplex ligation-dependent probe amplification (MLPA) were carried out for her pedigree, and short tandem repeat-based linkage analysis and chromosome copy number variation sequencing (CNV-seq) were used for the prenatal diagnosis.Results:The proband, a 3-day-old female, was found to harbor heterozygous deletion of exons 7-9 of the OTC gene. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was classified as likely pathogenic (PVS1+ PM2_Supporting+ PP4). The proband was diagnosed with OTCD, which was in keeping with her acute encephalopathy and metabolic abnormalities (manifesting as hyperammonemia, decreased blood citrulline, and increased urine orotic acid). Prenatal diagnosis was carried out for the subsequent pregnancy. The fetus did not harbor the exons 7-9 deletion of the OTC gene, but was found to carry a duplication in Xq28 region (which encompassed the whole region of MECP2 duplication syndrome) and was positive for the SRY sequence. The same duplication was also found in the proband and her mother. Considering the possible existence of X-chromosome inactivation, the proband was diagnosed with two X-linked recessive disorders including OTCD and MECP2 duplication syndrome, and the fetus was determined as a male affected with the MECP2 duplication syndrome. Conclusion:Discoveries of the pathogenic variants underlying the OTCD and MECP2 duplication syndrome have enabled clinical intervention, treatment, genetic counseling and prenatal diagnosis for this pedigree.