Prognositic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma

Objective:Osteosarcoma is a highly aggressive primary malignant bone tumor commonly seen in children and adolescents,with a poor prognosis.Anchorage-dependent cell death(anoikis)has been proven to be indispensable in tumor metastasis,regulating the migration and adhesion of tumor cells at the primary site.However,as a type of programmed cell death,anoikis is rarely studied in osteosarcoma,especially in the tumor immune microenvironment.This study aims to clarify prognostic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma.Methods:Anoikis-related genes(ANRGs)were obtained from GeneCards.Clinical information and ANRGs expression profiles of osteosarcoma patients were sourced from the therapeutically applicable research to generate effective therapies and Gene Expression Omnibus(GEO)databases.ANRGs highly associated with tumor immune microenvironment were identified by the estimate package and the weighted gene coexpression network analysis(WGCNA)algorithm.Machine learning algorithms were performed to construct long-term survival predictive strategy,each sample was divided into high-risk and low-risk subgroups,which was further verified in the GEO cohort.Finally,based on single-cell RNA-seq from the GEO database,analysis was done on the function of signature genes in the osteosarcoma tumor microenvironment.Results:A total of 51 hub ANRGs closely associated with the tumor microenvironment were identified,from which 3 genes(MERTK,BNIP3,S100A8)were selected to construct the prognostic model.Significant differences in immune cell activation and immune-related signaling pathways were observed between the high-risk and low-risk groups based on tumor microenvironment analysis(all P<0.05).Additionally,characteristic genes within the osteosarcoma microenvironment were identified in regulation of intercellular crosstalk through the GAS6-MERTK signaling pathway.Conclusion:The prognostic model based on ANRGs and tumor microenvironment demonstrate good predictive power and provide more personalized treatment options for patients with osteosarcoma.

颌面深部巨大真菌性肉芽肿1例报告并文献复习

目的:提高对真菌性肉芽肿的临床认识,减少漏诊误诊。方法:结合病例复习文献,报告l例罕见的颌面深部巨大真菌性肉芽肿的临床表现及诊治过程。结果:真菌性肉芽肿的临床和影像学表现缺乏特异性,容易漏诊误诊,确诊需行组织病理学检查及细菌培养。结论:提高对本病的认识可减少漏诊或误诊,有利于正确及时的治疗。

BRCA1在非小细胞肺癌中表达及临床意义研究

目的:研究非小细胞肺癌中BRCA1表达情况和临床意义。方法:选取病理诊断为非小细胞肺癌患者32例。采用HE组织病理学染色方法检测对照组(正常肺组织)和非小细胞肺癌组的肿瘤组织病理学差异。采用免疫荧光染色法测定两组中BRCA1蛋白荧光表达情况。采用逆转录聚合酶链式反应方法和蛋白质印迹法分别检测BRCA1 mRNA和蛋白在两种组织中的表达情况,然后对EGFR基因突变进行检测,比较BRCA1在两种组织中的表达差异,并分析BRCA1与非小细胞肺癌临床病理特征的关系。结果:与对照组相比,非小细胞肺癌组的结构被破坏,核染色质颜色变深,大量癌细胞产生。非小细胞肺癌组的BRCA1蛋白荧光表达显著升高。在非小细胞肺癌组中BRCA1 mRNA和蛋白的表达均显著升高。32例中,9例发生了EGFR基因突变。BRCA1在对照组和非小细胞肺癌组中的表达差异有统计学意义(P<0.05);BRCA1的表达水平随着肿瘤分期的提高而升高(P<0.05)。结论:BRCA1表达与非小细胞肺癌的发生和发展过程密切相关,有望成为非小细胞肺癌的诊断和治疗中重要标记物。