Objective To investigate the expression pattern and potential functional mechanisms of hematological and neurological expressed 1(HN1)in ovarian cancer(OC).Methods The gene expression profiling interactive analysis(GEPIA),Kaplan-Meier plotter,and the University of Alabama at Birmingham Cancer Data Analysis Portal(UALCAN)online databases were utilized to analyze the expression profile of HN1 across pan-cancer datasets,as well as its differential expression and prognostic significance in OC.Co-expressed genes of HN1 were identified based on the cancer genome atlas database,followed by functional enrichment analyses using Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways.Furthermore,the association between HN1 expression and immune cell infiltration in OC tissues was explored by using R software.Results Analysis of the GEPIA database revealed that HN 1 expression was significantly elevated in 20 types of tumor tissues,including OC,compared to normal tissues(P＜0.05).UALCAN data indicated that HN1 expression was markedly higher in poorly differentiated OC patients(P＜0.05).Kaplan-Meier survival analysis showed that patients with high HN 1 expression had significantly shorter progression-free survival,overall survival,and post-progression survival compared to those with low HN1 expression(P＜0.05).GO and KEGG enrichment analyses suggested that HN1 is mainly involved in the regulation of the cell cycle.Immunological analysis demonstrated that HN 1 expression levels were positively correlated with the infiltration of CD4+Th2 cells and dendritic cells in OC tissues(P＜0.05).Conclusion HN1 is highly expressed in OC and may play a role in tumor progression by regulating cell cycle,promoting epithelial-mesenchymal transition,and modulating immune cell infiltration.HN1 has the potential to serve as a novel biomarker for the diagnosis and targeted therapy of OC.

Objective To investigate the expression pattern and potential functional mechanisms of hematological and neurological expressed 1(HN1)in ovarian cancer(OC).Methods The gene expression profiling interactive analysis(GEPIA),Kaplan-Meier plotter,and the University of Alabama at Birmingham Cancer Data Analysis Portal(UALCAN)online databases were utilized to analyze the expression profile of HN1 across pan-cancer datasets,as well as its differential expression and prognostic significance in OC.Co-expressed genes of HN1 were identified based on the cancer genome atlas database,followed by functional enrichment analyses using Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways.Furthermore,the association between HN1 expression and immune cell infiltration in OC tissues was explored by using R software.Results Analysis of the GEPIA database revealed that HN 1 expression was significantly elevated in 20 types of tumor tissues,including OC,compared to normal tissues(P＜0.05).UALCAN data indicated that HN1 expression was markedly higher in poorly differentiated OC patients(P＜0.05).Kaplan-Meier survival analysis showed that patients with high HN 1 expression had significantly shorter progression-free survival,overall survival,and post-progression survival compared to those with low HN1 expression(P＜0.05).GO and KEGG enrichment analyses suggested that HN1 is mainly involved in the regulation of the cell cycle.Immunological analysis demonstrated that HN 1 expression levels were positively correlated with the infiltration of CD4+Th2 cells and dendritic cells in OC tissues(P＜0.05).Conclusion HN1 is highly expressed in OC and may play a role in tumor progression by regulating cell cycle,promoting epithelial-mesenchymal transition,and modulating immune cell infiltration.HN1 has the potential to serve as a novel biomarker for the diagnosis and targeted therapy of OC.

The clinical experience of professorfor polycystic ovary syndrome (PCOS) was summarized. According to the main pathogenesis of PCOS, the tonifying kidney should be taken as essence with synchronous treatment on liver, spleen and heart, presenting staging, classification and sorting method for PCOS. In the staging method, the regulation on follicle development should be taken as treatment core to comply with the rules ofand. A four-stage method was proposed, where "regulating method" was suitable in menstrual period, "tonifying method" in follicular phase;"dredging method" in ovulatory period and "adjustment and tonifying " in luteal phase. In the classification and sorting method, attention was paid on individualized treatment, and treatment was based on fat type, thin type and non-fat type as well as childbearing. Besides, psychological counseling and life adjustment for patient was essential, and the unity of body and mind could enhance curative effect.