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Introduction: It is believed that ovarian cancer (OC) is the most deadly form of gynecological cancer despite its infrequent occurrence, whichmakes it one of the most salient public health concerns. Clinical and preclinical studies have revealed that intratumoral CD4+ T cells possess cytotoxic capabilities and were capable of directly killing cancer cells. This study aimed to identify the CD4+ conventional T cells-related genes (CD4TGs) with respect to the prognosis in OC. Methods: We obtained the transcriptome and clinical data from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. CD4TGs were first identified from single-cell datasets, then univariate Cox regression was used to screen prognosis-related genes, LASSO was conducted to remove genes with coefficient zero, and multivariate Cox regression was used to calculate riskscore and to construct the CD4TGs risk signature. Kaplan-Meier analysis, univariate Cox regression, multivariate Cox regression, time-dependent receiver operating characteristics (ROC), decision curve analysis (DCA), nomogram, and calibration were made to verify and evaluate the risk signature. Gene set enrichment analyses (GSEA) in risk groups were conducted to explore the tightly correlated pathways with the risk group. The role of riskscore has been further explored in the tumor microenvironment (TME), immunotherapy, and chemotherapy. A risk signature with 11 CD4TGs in OC was finally established in the TCGA database and furtherly validated in several GEO cohorts. Results: High riskscore was significantly associated with a poorer prognosis and proven to be an independent prognostic biomarker by multivariate Cox regression. The 1-, 3-, and 5-year ROC values, DCA curve, nomogram, and calibration results confirmed the excellent prediction power of this model. Compared with the reported risk models, our model showed better performance. The patients were grouped into high-risk and low-risk subgroups according to the riskscore by the median value. The low-risk group patients tended to exhibit a higher immune infiltration, immune-related gene expression and were more sensitive to immunotherapy and chemotherapy. Discussion: Collectively, our findings of the prognostic value of CD4TGs in prognosis and immune response, provided valuable insights into the molecular mechanisms and clinical management of OC. [ABSTRACT FROM AUTHOR]

Epithelial ovarian cancer (EOC) is the leading killer among women with gynecologic malignancies. Homologous recombination deficiency (HRD) has attracted increasing attention due to its significant implication in the prediction of prognosis and response to treatments. In addition to the germline and somatic mutations of homologous recombination (HR) repair genes, to widely and deeply understand the molecular characteristics of HRD, we sought to screen the long non-coding RNAs (lncRNAs) with regard to HR repair genes and to establish a prognostic risk model for EOC. Herein, we retrieved the transcriptome data from the Genotype-Tissue Expression Project (GTEx) and The Cancer Genome Atlas (TCGA) databases. HR-related lncRNAs (HRRlncRNAs) associated with prognosis were identified by co-expression and univariate Cox regression analyses. The least absolute shrinkage and selection operator (LASSO) and multivariate stepwise Cox regression were performed to construct an HRRlncRNA risk model containing AC138904.1, AP001001.1, AL603832.1, AC138932.1, and AC040169.1. Next, Kaplan-Meier analysis, time-dependent receiver operating characteristics (ROC), nomogram, calibration, and DCA curves were made to verify and evaluate the model. Gene set enrichment analysis (GSEA), immune analysis, and prediction of the half-maximal inhibitory concentration (IC50) in the risk groups were also analyzed. The calibration plots showed a good concordance with the prognosis prediction. ROCs of 1-, 3-, and 5-year survival confirmed the well-predictive efficacy of this model in EOC. The risk score was used to divide the patients into high-risk and low-risk subgroups. The low-risk group patients tended to exhibit a lower immune infiltration status and a higher HRD score. Furthermore, consensus clustering analysis was employed to divide patients with EOC into three clusters based on the expression of the five HRRlncRNAs, which exhibited a significant difference in checkpoints' expression levels and the tumor microenvironment (TME) status. Taken together, the results of this project supported that the five HRRlncRNA models might function as a biomarker and prognostic indicator with respect to predicting the PARP inhibitor and immune treatment in EOC. [ABSTRACT FROM AUTHOR]

In the article, we present the sharp bounds for the Neuman mean NAG(a; b), NGA(a; b), NQA(a; b) and NAQ(a; b) in terms of the convex combinations of the arithmetic and one-parameter harmonic and contraharmonic means. As applications, we find several sharp inequalities for the first Seiffert, second Seiffert, Neuman-Sándor and logarithmic means. [ABSTRACT FROM AUTHOR]

The aim of the present study was to examine and assess contrast-enhanced ultrasound in the early diagnosis of acute radiation-induced liver injury in a rat model. Sixty female rats were used, with 50 rats being utilized to produce an animal model of liver injury with a single dose of stereotactic X-ray irradiation of 20 Gy. Ten rats from the injury group and 2 rats from the control group were randomly selected on days 3, 7, 14, 21 and 28, and examined by contrast-enhanced ultrasound and histopathology of liver specimens. The rats were divided into four groups: the normal control group, mild, moderate, and severe radioactive liver injury groups based on the histopathological examination results. Hepatic artery arriving time (HAAT) and hepatic vein arriving time (HVAT) were recorded, and hepatic artery to vein transit time (HA-HVTT) was calculated. The time-intensity curve of liver parenchyma, the time to peak (TTP) and peak intensity (PI) were also obtained. Significant differences were observed between liver injury and control groups for PI and HA-HVTT (P<0.05). PI and HA-HVTT were shorter in the severe liver injury group compared to the mild and moderate liver injury groups (P<0.05). Compared to the control group, higher TTP was recorded in all the liver injury groups (P<0.05), and the highest TTP level was observed in the severe liver injury group compared to the mild or moderate group (P<0.05). However, no significant difference was observed between the mild and moderate groups for PI, HA-HVTT and TTP. In conclusion, the results showed that contrast-enhanced ultrasonography is useful for an earlier diagnosis in a rat model of acute radiation-induced liver injury. [ABSTRACT FROM AUTHOR]

In this paper, we give the explicit formulas for the Neuman means NAH, NHA, NAC, and NCA, and present the best possible upper and lower bounds for these means in terms of the combinations of harmonic mean H, arithmetic mean A, and contraharmonic mean C. [ABSTRACT FROM AUTHOR]