Ovarian cancer (OC) is ranked as the leading cause of death among cancers of the female reproductive tract. First-line platinum treatment faces the severe challenges associated with the patient relapse and poor prognosis. Thus, it is imperative to develop natural antitumor drugs for OC with high efficacy. Natural polysaccharides have significant biological activities and antitumor effects. Our work has demonstrated that polysaccharides play key roles by inhibiting the cell proliferation and growth, regulating the tumor cell cycle, inducing apoptosis, suppressing the tumor cell migration and invasion, improving the immunomodulatory activities, and enhancing the efficacy of chemotherapy (cisplatin) in OC, which provide powerful evidence for the application of polysaccharides as novel anticancer agents, supplementary remedies, and adjunct therapeutic agents alone or in combination with cisplatin for preventing and treating the OC.
Ovarian cancer (OC) is a highly malignant gynecologic tumor with few treatments available and poor prognosis with the currently available diagnostic markers and interventions. More effective methods for diagnosis and treatment are urgently needed. Although the current evidence implicates ferroptosis in the development and therapeutic responses of various types of tumors, it is unclear to what extent ferroptosis affects OC. To explore the potential of ferroptosis-related genes as biomarkers and molecular targets for OC diagnosis and intervention, this study collected several datasets from The Cancer Genome Atlas-OC (TCGA-OC), analyzed and identified the coexpression profiles of 60 ferroptosis-related genes and two subtypes of OC with respect to ferroptosis and further examined and analyzed the differentially expressed genes between the two subtypes. The results indicated that the expression levels of ferroptosis genes were significantly correlated with prognosis in patients with OC. Single-factor Cox and LASSO analysis identified eight lncRNAs from the screened ferroptosis-related genes, including lncRNAs RP11-443B7.3, RP5-1028K7.2, TRAM2-AS1, AC073283.4, RP11-486G15.2, RP11-95H3.1, RP11-958F21.1, and AC006129.1. A risk scoring model was constructed from the ferroptosis-related lncRNAs and showed good performance in the evaluation of OC patient prognosis. The high- and low-risk groups based on tumor scores presented obvious differences in clinical characteristics, tumor mutation burden, and tumor immune cell infiltration, indicating that the risk score has a good ability to predict the benefit of immunotherapy and may provide data to support the implementation of precise immunotherapy for OC. Although in vivo tests and research are needed in the future, our bioinformatics analysis powerfully supported the effectiveness of the risk signature of ferroptosis-related lncRNAs for prognosis prediction in OC. The findings suggest that these eight identified lncRNAs have great potential for development as diagnostic markers and intervention targets for OC and that patients with high ferroptosis-related lncRNA expression will receive greater benefits from conventional chemotherapy or treatment with ferroptosis inducers.
Three new Ru(II) complexes, [Ru(dtb)2PPAD](PF6)2 (Ru-1), [Ru(dmob)2PPAD](PF6)2 (Ru-2) and [Ru(bpy)2PPAD](PF6)2 (Ru-3) (dtb = 4,4′-di-tert-butyl-2,2′-bipyridine, dmob = 4,4′-dimethyl-2,2′-bipyridine, bpy = 2,2′-bipyridine and PPAD = 2-(pyridine-3-yl)-1H imidazo[4,5f] [1.10] phenanthracene-9,10-dione) were synthesized and...
Background Polycystic ovary syndrome (PCOS) is a common gynecological endocrine disease that has a great impact on women’s physical and mental health. It is a burden to social and patients’ economy. In recent years, researchers’ understanding of PCOS has reached a new level. However, many PCOS reports have different directions, and overlapping phenomena exist. Therefore, clarifying the research status of PCOS is important. This study aims to summarise the research status of PCOS and predict the hot spots of PCOS in the future by Bibliometricx. Results The keywords of PCOS research focused on PCOS, insulin resistance (IR), obesity and metformin. Keywords plus co-occurrence network showed that PCOS, IR and prevalence were hot spots in the recent 10 years. Moreover, we found that gut microbiota may be a carrier that can be used to study hormone levels, IR-related mechanisms, prevention and treatment in the future. Conclusions This study is helpful for researchers to quickly grasp the current situation of PCOS research and enlighten researchers to explore new problems in PCOS.
Background: Insulin resistance (IR) is a common symptom in obese polycystic ovary syndrome (PCOS) patients, as well as in non-obese PCOS patients. Gut microbiota is closely related to IR. However, the relationship between gut microbiota and IR remains unclear in non-obese PCOS patients. Objective: To analyze the composition of the gut microbiota population in non-obese PCOS-IR patients compared to PCOS alone and healthy women. Methods: In the present study, fecal samples from non-obese PCOS patients with and without IR and healthy women were analyzed by 16S rRNA gene sequencing. Moreover, serum hormone levels were detected on the third day of menstruation, and the correlation between gut microbiota and serum hormone was analyzed using R language.Results: We found that the gut microbiota character differed in each group, and the gut microbiota abundance of PCOS-IR group was remarkably reduced.The abundance of Ruminococcaceae_UCG-004 and Acetanaerobacterium in the PCOS-IR group was significantly lower than that of the PCOS-NIR group. Furthermore, the comparison between PCOS-IR and control group revealed that g__Fusobacterium and g__Faecalibaculum were the unique genus of the PCOS-IR group. Moreover, the relationship between gut microbiota, IR, and serum sex hormones was determined. In PCOS with IR group, the relationship between gut microbiota and androgen was more significant. In PCOS without IR group, the relationship between gut microbiota and androgen was no significant. Its mechanism may be related to the different abundance in enzymes (futalosine hydrolase, arogenate dehydrogenase (NADP(+), and L-lysine 6-transaminase) and metabolic pathways (isoquinoline alkaloid biosynthesis, styrene degradation, and atrazine degradation), but it needs to be further explored in subsequent experiments. Conclusion: The gut microbiota composition of non-obese PCOS patients with insulin resistance is different from that of PCOS alone and healthy women. The difference is correlated with the clinical characteristics of PCOS, with regards to insulin resistance and sex hormone. The abnormality of gut microbiota may lead to the occurrence and development of PCOS-IR. All in all, this study not only provided supplements for the existing studies, but also revealed the potential pathogenic bacteria genus, thus providing a new idea for the treatment of PCOS with IR.
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