Polysaccharides from Artemisia argyi leaves: Environmentally friendly ultrasound-assisted extraction and antifatigue activities.

Artemisia argyi leaf polysaccharide (AALPs) were prepared through ultrasound-assisted extraction (UAE), and their antifatigue activities were evaluated. Extraction was optimized using response surface methodology (RSM), which yielded the following optimal UAE conditions: ultrasonication power of 300 W, extraction temperature of 51 °C, liquid:solid ratio of 20 mL/g, and ultrasonication time of 47 mins. The above optimal conditions resulted in the maximum extraction rate of 10.49 %. Compared with hot water extraction (HWE), UAE supported higher yields and total sugar, uronic acid, and sulfate contents of AALPs. Meanwhile, AALP prepared through UAE (AALP-U) exhibited higher stability due to its smaller particle size and higher absolute value of zeta potential than AALP prepared through HWE (AALP-H). In addition, AALP-U demonstrated stronger antioxidant activity than AALP-H. In forced swimming tests on mice, AALP-U could significantly prolong swimming time with a dose-dependent effect, increase liver and muscle glycogen levels, and improve other biochemical indices, thus showing great potential for application in functional food.

RAPSYN-mediated neddylation of BCR-ABL alternatively determines the fate of Philadelphia chromosome-positive leukemia.

Philadelphia chromosome-positive (Ph+) leukemia is a fatal hematological malignancy. Although standard treatments with tyrosine kinase inhibitors (TKIs) have achieved remarkable success in prolonging patient survival, intolerance, relapse, and TKI resistance remain serious issues for patients with Ph+ leukemia. Here, we report a new leukemogenic process in which RAPSYN and BCR-ABL co-occur in Ph+ leukemia, and RAPSYN mediates the neddylation of BCR-ABL. Consequently, neddylated BCR-ABL enhances the stability by competing its c-CBL-mediated degradation. Furthermore, SRC phosphorylates RAPSYN to activate its NEDD8 E3 ligase activity, promoting BCR-ABL stabilization and disease progression. Moreover, in contrast to in vivo ineffectiveness of PROTAC-based degraders, depletion of RAPSYN expression, or its ligase activity decreased BCR-ABL stability and, in turn, inhibited tumor formation and growth. Collectively, these findings represent an alternative to tyrosine kinase activity for the oncoprotein and leukemogenic cells and generate a rationale of targeting RAPSYN-mediated BCR-ABL neddylation for the treatment of Ph+ leukemia.

Chronic myeloid leukemia (CML for short) accounts for about 15% of all blood cancers diagnosed in adults in the United States. The condition is characterized by the overproduction of immature immune cells that interfere with proper blood function. It is linked to a gene recombination (a type of mutation) that leads to white blood cells producing an abnormal 'BCR-ABL' enzyme which is always switched on. In turn, this overactive protein causes the cells to live longer and divide uncontrollably. Some of the most effective drugs available to control the disease today work by blocking the activity of BCR-ABL. Yet certain patients can become resistant to these treatments over time, causing them to relapse. Other approaches are therefore needed to manage this disease; in particular, a promising avenue of research consists in exploring whether it is possible to reduce the amount of the enzyme present in diseased cells. As part of this effort, Zhao, Dai, Li, Zhang et al. focused on RAPSYN, a scaffolding protein previously unknown in CML cells. In other tissues, it has recently been shown to participate in neddylation ­ a process by which proteins receive certain chemical 'tags' that change the way they behave. The experiments revealed that, compared to healthy volunteers, RAPSYN was present at much higher levels in the white blood cells of CML patients. Experimentally lowering the amount of RAPSYN in CML cells led these to divide less quickly ­ both in a dish and when injected in mice, while also being linked to decreased levels of BCR-ABL. Additional biochemical experiments indicated that RAPSYN sticks with BCR-ABL to add chemical 'tags' that protect the abnormal protein against degradation, therefore increasing its overall levels. Finally, the team showed that SRC, an enzyme often dysregulated in emerging cancers, can activate RAPSYN's ability to conduct neddylation; such mechanism could promote BCR-ABL stabilization and, in turn, disease progression. Taken together, these experiments indicate a new way by which BCR-ABL levels are controlled. Future studies should investigate whether RAPSYN also stabilizes BCR-ABL in patients whose leukemias have become resistant to existing drugs. Eventually, RAPSYN may offer a new target for overcoming drug-resistance in CML patients.

Genotype Distribution and Prevalence of High-Risk Human Papillomavirus among Pregnant Women and Maternal-Fetal Pregnancy Outcomes in a Tertiary Hospital in Beijing, China.

BACKGROUND: High-risk human papillomavirus (HR-HPV) infection is the primary reason for cervical cancer and precancerous lesions in females. Specific immune alterations in pregnancy led to greater HR-HPV replication and reduced clearance of HR-HPV infection. This study retrospectively obtained and analyzed data from a tertiary hospital in Beijing, China. We aimed to ascertain both the genotype distribution and prevalence of HR-HPV in pregnant females. Moreover, we sought to analyze the association of HR-HPV with maternal-fetal pregnancy outcomes. METHODS: The retrospective observational cohort study was divided into two parts. Part I evaluated the genotype distribution and prevalence of HR-HPV. It encompassed 6285 pregnant women who underwent a routine pregnancy check-up, Thin Prep cytology test (TCT), and HR-HPV diagnosis during weeks 12-14 of gestation between January 1, 2013, and December 31, 2021. Part II analyzed the association between HR-HPV infection and maternal-fetal pregnancy outcome. Through a nearest-neighbor 1:1 propensity score matching (PSM), we matched HR-HPV-positive and HR-HPV-negative pregnant women using caliper width equal to 0.02. After PSM, 171 HR-HPV-positive and 171 HR-HPV-negative pregnant women were included to analyze the association between HR-HPV infection and maternal-fetal pregnancy outcome. RESULTS: In total 737 (11.73%) pregnant women were HR-HPV positive. The five most common genotypes of HR-HPV were HPV-52 (2.90%), HPV-58 (2%), HPV-16 (1.94%), HPV-51 (1.38%), and HPV-39 (1.29%). As for age-specific HPV prevalence, a "U-shaped" pattern was observed. The first and second peaks were detected in pregnant females aged <25 years and those aged ≥35 years, respectively. Our study found no significant difference between the HR-HPV-positive and the HR-HPV-negative pregnant females in the following maternal-fetal pregnancy outcomes: spontaneous abortion (1.2% for HR-HPV positive, 0% for HR-HPV negative, p = 0.478), preterm delivery (4.7% for HR-HPV positive, 5.3% for HR-HPV negative, p = 0.804), premature rupture of membrane (28.8% for HR-HPV positive, 22.8% for HR-HPV negative, p = 0.216), preeclampsia (7.6% for HR-HPV positive, 7.6% for HR-HPV negative, p = 1), oligohydramnios (8.2% for HR-HPV positive, 7% for HR-HPV negative, p = 0.683), fetal growth restriction (1.8% for HR-HPV positive, 0.6% for HPV negative, p = 0.615), placenta previa (1.2% for HR-HPV positive, 0.6% for HR-HPV negative, p = 1), postpartum hemorrhage (8.9% for HR-HPV positive, 11.2% for HR-HPV negative, p = 0.47). There was also no significant difference in delivery mode or birth weight between the two groups. CONCLUSIONS: HPV-16, 52, and 58 were the most prevalent infection genotypes in pregnant females. The study showed no significant differences between HR-HPV-positive and HR-HPV-negative groups in the maternal-fetal pregnancy outcomes.

Clinical Characteristics of COVID-19 in Gynecological Cancer Patients during Chemotherapy-An Observational Study.

BACKGROUND: Infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) affects multiple organs throughout the body, which puts chemotherapy patients at even greater risk. This study aims to identify the clinical characteristics of gynecological cancer patients infected with SARS-CoV-2 during chemotherapy. METHODS: Gynecological cancer patients infected with SARS-CoV-2 during chemotherapy from August 1, 2022, to January 31, 2023, were enrolled in this observational cohort study. Patients in the control group were not infected with SARS-CoV-2. All continuous variables, including blood cells (leukocytes, neutrophils, lymphocytes) and biochemical indices (alanine transaminase (ALT), Aspartate transferase (AST), lactate dehydrogenase (LDH), albumin and creatinine) were repeatedly measured and analyzed statistically by the generalized additive mixed model (GAMM). Latent class analysis was estimated for the high-risk factors of severe COVID-19. The primary outcome was to develop a severe condition. RESULTS: During the study period, there were 71 patients with chemotherapy in our center. Of the 57 cases infected with SARS-CoV-2, 14 patients without infection, the infection rate was 80.28%. 52 cases out of the 57 infected patients were included in this study, 9.62% (5/52) cases showed severe disease, and 1 patient died. 51 cases survived during the acute coronavirus disease 2019 (COVID-19) phase. If chemotherapy is given after SARS-CoV-2 infection, tissues and organs that are sensitive to chemotherapy are more likely to be re-damaged by COVID-19. The plasma levels of leukocytes, neutrophils, lymphocytes, ALT, and AST decreased; LDH and creatinine in plasma showed a linear increase, while plasma albumin decreased, and platelets showed no apparent trend. The changes in blood cells and biochemical indices were most evident in relapsed patients and patients with COVID-19 within 2 weeks after chemotherapy. Latent class analysis showed that all severe COVID-19 patients were classified into class 1; the patients of class 1 showed a shorter interval between chemotherapy and COVID-19, and the higher baseline of AST, ALT, and LDH, the more cycles of chemotherapy and the advanced stage. CONCLUSIONS: The interval between chemotherapy and COVID-19 is associated with damage to tissues and organs. Clinical factors and laboratory factors indicate poor health conditions among patients with gynecological cancer and COVID-19.

Identification of Adulteration of Flaxseed Oil From QINGHAI Area Using GC-MS Profiling of Phytosterol Composition and Chemometrics.

Flaxseed oil is an important source of vegetable oil with a polyunsaturated fatty acid. It is significant to establish a method to quickly identify adulterated flaxseed oil. In the present study, the qualitative and quantitative analysis of phytosterol of flaxseed oil from different varieties and different production areas in the Qinghai area was first performed by gas chromatography-mass spectrometry (GC-MS) and the phytosterol standard profile of flaxseed oil was established. Then, a combination of similarity evaluation and cluster analysis was used to distinguish pure flaxseed oil from flaxseed oil adulterated with concentrations of 10-50% rapeseed oil, peanut oil, sunflower oil, and sesame oil, and discriminant analysis was used to identify the types of adulterated flaxseed oil. The results showed that similarity evaluation combined with cluster analysis can distinguish pure and adulterated flaxseed oil when the concentration of the adulterant was greater than 10%. Discriminant analysis models accurately identified the types of adulterating oil in flaxseed oil when the concentration of rapeseed, peanut, or sunflower oil was greater than 20%, and that of sesame oil was greater than 30%. This study shows that the determination of the phytosterol composition and chemometrics is a valuable tool to evaluate the purity of flaxseed oil.

Real-time auto-segmentation of the ureter in video sequences of gynaecological laparoscopic surgery.

BACKGROUND: Ureteral injury is common during gynaecological laparoscopic surgery. Real-time auto-segmentation can assist gynaecologists in identifying the ureter and reduce intraoperative injury risk. METHODS: A deep learning segmentation model was crafted for ureter recognition in surgical videos, utilising 3368 frames from 11 laparoscopic surgeries. Class activation maps enhanced the model's interpretability, showing its areas. The model's clinical relevance was validated through an End-User Turing test and verified by three gynaecological surgeons. RESULTS: The model registered a Dice score of 0.86, a Hausdorff 95 distance of 22.60, and processed images in 0.008 s on average. In complex surgeries, it pinpointed the ureter's position in real-time. Fifty five surgeons across eight institutions found the model's accuracy, specificity, and sensitivity comparable to human performance. Yet, artificial intelligence experience influenced some subjective ratings. CONCLUSIONS: The model offers precise real-time ureter segmentation in laparoscopic surgery and can be a significant tool for gynaecologists to mitigate ureteral injuries.

Characteristics of vaginal microbiota in various cervical intraepithelial neoplasia: a cross-sectional study.

BACKGROUND: Precancerous lesions of cervical cancer exhibit characteristics indicative of natural progression. To prevent overtreatment of patients whose cervical intraepithelial neoplasia (CIN) in regression and to predict the onset of invasive cervical cancer at an early stage, we've identified the vaginal microbiome as a potential key factor, which is associated with both HPV infection and the various cervical intraepithelial neoplasia. This study aims to investigate the microbiome characteristics of patients with various cervical intraepithelial neoplasia. METHODS: Utilizing high-throughput 16S ribosomal RNA (16S rRNA) sequencing technology, a description of the characteristics and community composition of Vaginal Microbiota (VMB) was conducted among 692 Chinese women infected with the High-risk Human Papillomavirus (HR-HPV). RESULTS: As the grade of the lesions increased, the proportions of Lactobacillus and Pseudomonas demonstrated a significant declining trend, while the proportions of Gardnerella, Dialister, and Prevotella significantly increased. The diversity of the VMB was more significant in high-grade CIN. Furthermore, KEGG pathway enrichment analysis indicates that high-grade cervical intraepithelial neoplasia can inhibit various pathways, including those of phosphotransferase system, transcription factors, Fructose and mannose metabolism, amino sugar and nucleotide sugar metabolism, and galactose metabolism, which may contribute to the development of early cervical cancer symptoms. CONCLUSION: Patients with CIN exhibit a distinct vaginal microbial profile characterized by a decrease in Lactobacillus and Pseudomonas, and an increase in Gardnerella, Prevotella, and Dialister. The proliferation and diminution of these two types of microbial communities are interrelated, suggesting a mutual restraint and balance among them. Disruption of this regulatory balance could potentially lead to the onset of cervical lesions and carcinogenesis. Retrospectively registered: This study was approved by the Ethics Committee of the Beijing Chaoyang Hospital affiliated with the Capital Medical University (NO.2023-S-415).

Complete chloroplast genome sequence of Rhododendronmariesii and comparative genomics of related species in the family Ericaeae.

Rhododendronmariesii Hemsley et Wilson, 1907, a typical member of the family Ericaeae, possesses valuable medicinal and horticultural properties. In this research, the complete chloroplast (cp) genome of R.mariesii was sequenced and assembled, which proved to be a typical quadripartite structure with the length of 203,480 bp. In particular, the lengths of the large single copy region (LSC), small single copy region (SSC), and inverted repeat regions (IR) were 113,715 bp, 7,953 bp, and 40,918 bp, respectively. Among the 151 unique genes, 98 were protein-coding genes, 8 were tRNA genes, and 45 were rRNA genes. The structural characteristics of the R.mariesiicp genome was similar to other angiosperms. Leucine was the most representative amino acid, while cysteine was the lowest representative. Totally, 30 codons showed obvious codon usage bias, and most were A/U-ending codons. Six highly variable regions were observed, such as trnK-pafI and atpE-rpoB, which could serve as potential markers for future barcoding and phylogenetic research of R.mariesii species. Coding regions were more conserved than non-coding regions. Expansion and contraction in the IR region might be the main length variation in R.mariesii and related Ericaeae species. Maximum-likelihood (ML) phylogenetic analysis revealed that R.mariesii was relatively closed to the R.simsii Planchon, 1853 and R.pulchrum Sweet,1831. This research will supply rich genetic resource for R.mariesii and related species of the Ericaeae.

Effectiveness of Halo-Pelvic Traction and Thoracoplasty for Pulmonary Artery Pressure and Cardiopulmonary Function in Patients With Severe Spinal Deformity.

STUDY DESIGN: Retrospective review. OBJECTIVE: To evaluate the effectiveness of halo-pelvic traction and thoracoplasty for pulmonary artery pressure (PAP) and cardiopulmonary function in patients with severe spinal deformity. SUMMARY OF BACKGROUND DATA: The effect of severe spinal deformity on pulmonary arterial hypertension, cardiac structure, and function has received little attention before. PATIENTS AND METHODS: A total of 21 patients with severe spinal deformity were included in our study; all patients were examined by echocardiography and pulmonary function test before and after treatment. The correlations between PAP and pulmonary function were examined using Pearson correlation analysis. RESULTS: The PAP decreased from 58.67 ± 20.24 to 39.00 ± 12.51 mm Hg, and the PAP of 42.86% of the patients returned to normal after treatment. Right cardiac enlargement, left ventricular diastolic function, and pulmonary function were improved at the same time. The ratio of left ventricular to right ventricular diameter returned to normal. Moderate correlations (correlation coefficient: -0.513 to -0.559) between PAP and forced vital capacity and forced expiratory volume in the first second were identified. CONCLUSIONS: Pulmonary arterial hypertension, ventricular diastolic function, and pulmonary function were improved after halo-pelvic traction and thoracoplasty. A moderate negative correlation was identified between PAP and pulmonary function: the more pulmonary function improved, the more PAP decreased.

Tumor immune microenvironment changes are associated with response to neoadjuvant chemotherapy and long-term survival benefits in advanced epithelial ovarian cancer: A pilot study.

Little is known about the association between efficacy of neoadjuvant chemotherapy (NACT)/survival and the dynamic change of tumor immune environment (TIME) during treatment in epithelial ovarian cancer (EOC). This study investigated the TIME landscape of treatment-naive EOC tumors using multiplex immunofluorescence and associated the TIME before and after platinum-based NACT with treatment efficacy and prognosis in 33 patients with advanced EOC. NACT significantly increased the density of CD8+ T cells (P = 0.033), CD20+ B cells (P = 0.023), CD56 NK cells (P = 0.041), PD-1+ cells (P = 0.042), and PD-L1+CD68+ macrophages (P = 0.005) in the tissue specimens. Response to NACT was evaluated using CA125 response and chemotherapy response score (CRS). Compared with the non-responders, the responders displayed a larger proportion of tumors showing increase in the infiltration of CD20+ cells (P = 0.046) and in the M1/M2 ratio (P = 0.038) as well as fewer tumors showing increase in the infiltration of CD56bright cells (P = 0.041). No association was found between pre-NACT TIME and response to NACT. Density of pre-NACT CD8+ cells was positively associated with longer progression-free survival (PFS) (P = 0.011) and overall survival (OS) (P = 0.048). Post-NACT CD20+ and CD163+ macrophages (M2) infiltrates were associated with prolonged (P = 0.005) and shortened PFS (P = 0.021), respectively. Increase in the density of CD4+ T cells was predictive for longer PFS (P = 0.022) and OS (P = 0.023). In the multivariate analysis, high density of CD8+ cells pre-NACT (P = 0.042) were independently associated with improved OS.

Epigenetic inhibition of lncRNA GMDS-AS1 by methyltransferase ESET promoted cell viability and metastasis of hepatocellular carcinoma.

BACKGROUND: Long noncoding RNA (lncRNAs) GMDS-AS1 has been reported as a tumor regulator in tumor growth and metastasis, but its effect in hepatocellular carcinoma (HCC) remains unclear. ESET, a histone H3K9 methyl-transferase, is involved in epigenomic regulation of tumor progression in multiple cancers. However, the correlation between ESET and lncRNA in HCC is less reported. METHODS: Quantitative real-time PCR (qRT-PCR) was taken to determine the expression of ESET and GMDS-AS1. Western blot was taken to determine the target protein levels of ESET and GMDS-AS1. Online database and bioinformatics analysis were used to screen abnormally expressed genes. Luciferase assay was performed to confirm the binding of GMDS-AS1 and PSMB1. Ki67 and Edu were used for evaluated the proliferation of tumor cells. ChIP assay was performed to verify the relationship between H3K9me1 and lncRNA GMDS-AS1 promoter. Transwell was taken to determine the migration and invasion ability of tumor cells. CCK-8 was used for determining the viability of tumor cells. Flow cytometry was performed to detect the cell cycle of tumor cells. RESULTS: The expression of GMDS-AS1 was decreased and the expression of ESET was increased in HCC. GMDS-AS1 inhibition contributed to tumor development, and this effect was closely related to epigenetic inhibition of GMDS-AS1 by ESET. PSMB1, a downstream target of GMDS-AS1, promoted the tumor proliferation and was negatively regulated by GMDS-AS1. CONCLUSION: Our result demonstrates anti-tumorigenic traits of lncRNA GMDS-AS1 in HCC and explains its pattern of regulation mediated by ESET. Our work unmasked an essential role of GMDS-AS1 in HCC progression and detected a novel pathway for ESET to promote HCC.

Health-Promoting Activities and Associated Mechanisms of Polygonati Rhizoma Polysaccharides.

Polygonati Rhizoma, a typical homology of medicine and food, possesses remarkable anti-fatigue, anti-aging, metabolic regulatory, immunomodulatory, anti-inflammatory, neuroprotective, anti-diabetes, and anti-cancer effects. Among bioactive phytochemicals in Polygonati Rhizoma, polysaccharides play important roles in the health-promoting activities through the mechanisms mentioned above and potential synergistic effects with other bioactives. In this review, we briefly introduce the updated biosynthesis of polysaccharides, the purification method, the structure characterization, and food applications, and discuss in detail the biological activities of Polygonati Rhizoma polysaccharides and associated mechanisms, aiming at broadening the usage of Polygonati Rhizoma as functional food and medicine.

Immunomodulatory effects and associated mechanisms of Momordica charantia and its phytochemicals.

Momordica charantia L. (M. charantia), which is a member of the Cucurbitaceae family and widely distributed in tropical and subtropical regions, has been consumed as a vegetable and also used as herbal medicine for thousands of years worldwide. M. charantia has received great attention in biological and biomedical research due to its remarkable antidiabetic/hypoglycaemic, anti-inflammatory, antioxidant, antiviral and antitumour activities both in vivo and in vitro. Numerous studies have revealed that the typical health-promoting activities of M. charantia are mainly attributed to its phytochemicals including saponins, proteins/peptides, phenolic compounds, alkaloids, triterpenoids and polysaccharides. In particular, it has been attested that there is a strong relationship between the antidiabetic activity and the saponins and proteins of M. charantia. In recent years, studies on the immunoenhancing and immunostimulating effects of M. charantia have attracted much attention and made significant progress. Therefore, this review focuses on the immunomodulatory effects and associated mechanisms of M. charantia and its bioactive phytochemicals. The clinical applications of M. charantia in immune-related diseases are also discussed, aiming to broaden the exploration of M. charantia as a functional food.

Identification of Novel Immunologic Checkpoint Gene Prognostic Markers for Ovarian Cancer.

Ovarian cancer has a higher resistance to chemotherapy, displaying the highest mortality rate among gynecological cancers. Recently, immune checkpoint inhibitor therapy is an effective treatment for selected patients. However, a low response rate for immune checkpoint treatment was observed for ovarian cancer patients. Therefore, it is necessary to identify ovarian cancer patients who might gain benefits from immune checkpoint treatment. Datasets containing ovarian cancer samples with mRNA-seq and clinical follow-up data were downloaded from different databases like The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The researchers applied the univariate analysis for selecting the immune checkpoint genes (ICGs) at a significance level of P < 0.05 as the candidate ICGs. The Spearman correlation coefficients were calculated to compare the correlation between tumor mutation burden and candidate ICGs, and the Kaplan-Meier plots were generated. They also assessed the external validation datasets and the results of immunohistochemical staining. 46 and 35 ICGs were extracted from the TCGA and GEO datasets, respectively, and we categorized the ICGs into 3 expression patterns. Nine (TCGA) and three (GEO) ICGs were significantly related to the prognosis. Univariate survival analysis indicated a significant prognostic relationship between the expression levels of ICOS, TIGIT, and TNFRSF8 and overall survival (OS). Moreover, the expression of ICOS and TIGIT also presented a significantly positive relationship with the CD8A expression. Importantly, patients with a higher CD8A and ICOS expression level (ICOS-H/CD8A-H) showed a better survival rate compared to other patients. Stratified analysis using TIGIT, TNFRSF8, and CD8A expression also showed an improved prognosis for the high TIGIT/high CD8A expression subgroup and the low TNFRSF8/low CD8A expression subgroup compared to the other subgroups. This study identified different immune subtypes that can predict the OS of ovarian cancer patients. This data could prove to be beneficial for making important clinical decisions and designing individual immunotherapeutic strategies.

Identification of Tumor Microenvironment Scoring Scheme Based on Bioinformatics Analysis of Immune Cell Infiltration Pattern of Ovarian Cancer.

Background: Tumor microenvironment (TME) is the crucial mediator of tumor progression, and the TME model based on immune cell infiltration to characterize ovarian cancer is considered to be a promising strategy. Methods: Sample data of three ovarian cancer cohorts were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The scores of 22 kinds of immune cells were calculated based on CIBERSORT, and the TME clusters (TMECs) of ovarian cancer was determined by ConsensusClusterPlus. Genomic subtype was identified by non-negative matrix factorization (NMF). A TME scoring scheme was constructed using k-means algorithm and principal component analysis (PCA) to quantify the TME infiltration pattern of individuals. Results: Four TME subtypes of ovarian cancer samples were defined: TMEC1, TMEC2, TMEC3, and TMEC4. There were also significant differences in overall survival (OS) among the four TMEC, and the OS of TMEC3 was the longest. The difference analysis of TMEC3 and the other three TMECs respectively identified the DEGs and took the intersection, and 585 DEGs were obtained. Two genomic subtypes were identified by NMF based on the expression of 585 genes, which were called GeneC1 and GeneC2. The TME scoring scheme constructed by k-means and PCA algorithm was used to calculate the TME score of ovarian cancer in TCGA. High-TME score was significantly correlated with shorter survival time, older age, lower immunoactivated molecules, and immune checkpoint gene expression. Conclusions: This study highlighted the complexity and diversity of TME infiltration patterns in ovarian cancer and constructed a set of TME scoring scheme to reveal TME infiltration patterns and provided new insights into the landscape of TME.

Demethylzeylasteral attenuates hepatic stellate cell activation and liver fibrosis by inhibiting AGAP2 mediated signaling.

BACKGROUND: Liver fibrosis is a common cause of chronic liver disease. If left untreated, it can ultimately develop into liver cirrhosis or hepatocellular carcinoma. However, a direct antifibrotic therapy is currently unavailable. A re-examination of existing chemicals might be a potential strategy for finding more lead compounds against liver fibrosis. Demethylzeylasteral (T-96), a naturally occurring bioactive compound found in Tripterygium wilfordii Hook. f. (TwHf) possesses multiple pharmacological properties. However, its antifibrotic potential has not yet been fully evaluated. PURPOSE: This study aimed to investigate the antifibrotic properties of T-96 and its underlying molecular mechanisms. METHODS: The antifibrotic properties of T-96 were investigated in three types of hepatic stellate cells (HSCs) and in a CCl4-induced liver fibrosis mouse model. The effect of T-96 on the proliferation, migration, and activation of HSCs was detected using CCK-8 and scratch/wound healing assays. Hepatic inflammation and fibrosis were evaluated by H&E, Masson's trichrome stain, and Sirius Red staining. The expression of inflammatory and fibrogenic genes was detected by quantitative real-time PCR (qRT-PCR) and western blotting. RNA sequencing (RNA-seq) was performed to explore the potential molecular mechanisms mediating the antifibrotic effect of T-96, which was verified by dual-luciferase reporter assay, qRT-PCR, western blotting, immunofluorescence, and immunoprecipitation analysis. RESULTS: The T-96 treatment significantly suppressed the proliferation, migration, and activation of HSCs in vitro. The administration of T-96 attenuated hepatic injury, inflammation, and fibrosis progression in mice with CCl4-induced liver fibrosis. In addition, the RNA-seq of fibrotic liver tissues and subsequent functional verification indicated that the key mechanisms of the antifibrotic effect of T-96 were mediated by suppressing the expression of AGAP2 (Arf GAP with GTPase-like domain, ankyrin repeat and PH domain 2), inhibiting the subsequent phosphorylation of focal adhesion kinase (FAK) and protein kinase B (AKT), and finally reducing the expression of fibrosis-related genes. CONCLUSION: Our results provide the first insight that T-96 exerts potent antifibrotic effects both in vitro and in vivo by inhibiting the AGAP2 mediated FAK/AKT signaling axis, and that T-96 may serve as a potential therapeutic candidate for the treatment of liver fibrosis.

Human monocytes differentiate into tumor-associated macrophages upon SKOV3 cells coculture and/or lysophosphatidic acid stimulation.

BACKGROUND: Serous ovarian carcinoma is the most common type of ovarian carcinoma. Tumor-associated macrophages (TAMs) promote ovarian cancer progression. Most macrophages are generated by monocyte differentiation. Lysophosphatidic acid (LPA) levels are high in blood, tissues and ascites of patients with ovarian cancer. This study investigated whether human monocytes can directly differentiate into TAMs in the serous ovarian carcinoma microenvironment. METHODS: Human monocytes were isolated and purified from umbilical cord blood. A serous ovarian carcinoma-like microenvironment was generated by coculturing monocytes and SKOV3 cells in 0.4-µm-pore-size Transwell chambers. Additionally, the effect of LPA was assessed. The two cultured cell types and supernatants were evaluated. RESULTS: The morphology and function of monocytes cocultured with SKOV3 cells and/or stimulated with LPA were significantly changed compared with those of non-stimulated monocytes. The CD14 + CD163 + and CD206 + phenotype indicated that stimulated cells were TAMs. The induced cells promoted SKOV3 cell proliferation and invasion, further proving that they were TAMs. The level of the cytokine interleukin-6R in the supernatant was significantly elevated in the treatment groups compared to the control monocyte group. Pathway enrichment analysis of ELISA results showed a strong influence of interleukin-6 family signaling, especially the JAK-STAT signaling pathway, further confirming the importance of IL-6R. CONCLUSION: Monocytes can differentiate into TAMs under coculture with SKOV3 cells and/or LPA stimulation. The induced TAMs promote SKOV3 cell proliferation and invasion. The cytokine receptor IL-6sR and the JAK-STAT signaling pathway play an important role in the differentiation of monocytes into TAMs.

An Applicable Machine Learning Model Based on Preoperative Examinations Predicts Histology, Stage, and Grade for Endometrial Cancer.

Purpose: To build a machine learning model to predict histology (type I and type II), stage, and grade preoperatively for endometrial carcinoma to quickly give a diagnosis and assist in improving the accuracy of the diagnosis, which can help patients receive timely, appropriate, and effective treatment. Materials and Methods: This study used a retrospective database of preoperative examinations (tumor markers, imaging, diagnostic curettage, etc.) in patients with endometrial carcinoma. Three algorithms (random forest, logistic regression, and deep neural network) were used to build models. The AUC and accuracy were calculated. Furthermore, the performance of machine learning models, doctors' prediction, and doctors with the assistance of models were compared. Results: A total of 329 patients were included in this study with 16 features (age, BMI, stage, grade, histology, etc.). A random forest algorithm had the highest AUC and Accuracy. For histology prediction, AUC and accuracy was 0.69 (95% CI=0.67-0.70) and 0.81 (95%CI=0.79-0.82). For stage they were 0.66 (95% CI=0.64-0.69) and 0.63 (95% CI=0.61-0.65) and for differentiation grade 0.64 (95% CI=0.63-0.65) and 0.43 (95% CI=0.41-0.44). The average accuracy of doctors for histology, stage, and grade was 0.86 (with AI) and 0.79 (without AI), 0.64 and 0.53, 0.5 and 0.45, respectively. The accuracy of doctors' prediction with AI was higher than that of Random Forest alone and doctors' prediction without AI. Conclusion: A random forest model can predict histology, stage, and grade of endometrial cancer preoperatively and can help doctors in obtaining a better diagnosis and predictive results.

Clinical analysis and artificial intelligence survival prediction of serous ovarian cancer based on preoperative circulating leukocytes.

Circulating leukocytes are an important part of the immune system. The aim of this work is to explore the role of preoperative circulating leukocytes in serous ovarian carcinoma and investigate whether they can be used to predict survival prognosis. Routine blood test results and clinical information of patients with serous ovarian carcinoma were retrospectively collected. And to predict survival according to the blood routine test result the decision tree method was applied to build a machine learning model.The results showed that the number of preoperative white blood cells (p = 0.022), monocytes (p < 0.001), lymphocytes (p < 0.001), neutrophils (p < 0.001), and eosinophils (p < 0.001) and the monocyte to lymphocyte (MO/LY) ratio in the serous ovarian cancer group were significantly different from those in the control group. These factors also showed a correlation with other clinicopathological characteristics. The MO/LY was the root node of the decision tree, and the predictive AUC for survival was 0.69. The features involved in the decision tree were the MO/LY, differentiation status, CA125 level, neutrophils (NE,) ascites cytology, LY% and age.In conclusion, the number and percentage of preoperative leukocytes in patients with ovarian cancer is changed significantly compared to those in the normal control group, as well as the MO/LY. A decision tree was built to predict the survival of patients with serous ovarian cancer based on the CA125 level, white blood cell (WBC) count, presence of lymph node metastasis (LNM), MO count, the MO/LY ratio, differentiation status, stage, LY%, ascites cytology, and age.

MD2 Is a Potential Biomarker Associated with Immune Cell Infiltration in Gliomas.

Background: Glioma is the most common primary malignant tumor in the central nervous system. Myeloid differentiation protein 2 (MD2) acts as a coreceptor of toll-like receptor 4 (TLR4) to mediate innate immune response. However, the actual roles of MD2 in the regulation of progression and immune cell infiltration in gliomas remain largely unclear. This study aims to explore whether MD2 could be an independent prognostic factor through the mediation of immune cell infiltration in gliomas. Methods: The mRNA expression and DNA methylation differential analyses of MD2 were performed using CGGA, TCGA and Rembrandt databases and survival analyses were performed using Kaplan-Meier plotter. Univariate and multivariate Cox regression was applied to analyze the prognostic value of MD2 and nomograms were constructed to evaluate the clinical value of MD2. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were utilized to analyze MD2-related signal pathways. Furthermore, correlations between MD2 and immune cell infiltration were calculated by TIMER and CIBERSOPT. The correlation between MD2 expression and the infiltrations of macrophages and neutrophils was experimentally verified by the knockdown of MD2 expression using small interfering RNA (siRNA) in glioma cells. Results: We found that MD2 was overexpressed and associated with a poor prognosis in gliomas. Meanwhile, higher expression of MD2 could be a result of lower DNA methylation of MD2 gene in gliomas. In addition, univariate and multivariate Cox regression analysis indicated that MD2 could be an independent prognostic factor for gliomas. Further functional enrichment analysis revealed that the functions of MD2 were closely related to immune responses. Moreover, the expression level of MD2 was strongly correlated with the infiltration and polarization of pro-tumor phenotype of tumor-associated macrophages and tumor-associated neutrophils in gliomas. Conclusions: These findings have provided strong evidence that MD2 could be served as a valuable immune-related biomarker to diagnose and predict the progression of gliomas.