Suppr超能文献

星形细胞瘤的预后分析:组织学参数与增殖细胞核抗原标记指数(PCNA-LI)的相关性

Prognostic analysis of astrocytic gliomas correlating histological parameters with the proliferating cell nuclear antigen labelling index (PCNA-LI).

作者信息

Cruz-Sánchez F F, Ferreres J C, Figols J, Palacin A, Cardesa A, Rossi M L, Val-Bernal J F

机构信息

Neurological Tissue Bank, Hospital Clínico y Provincial, School of Medicine, University of Barcelona, Spain.

出版信息

Histol Histopathol. 1997 Jan;12(1):43-9.

PMID:9046042
Abstract

Eighty out of 250 cases of astrocytic glioma collected from a practice served by a single clinical team over a 15-year period were studied using a full complement of clinical, follow up, histopathological analysis and proliferating cell nuclear antigen (PCNA) immunostaining for the obtention of the PCNA-labelling index (LI). A statistical evaluation and discriminant analysis were carried out with the aim of clarifying the importance of various parameters as predictors of tumor behaviour. Data are correlated with survival (with a 10-year follow up). A significant correlation with survival was found when histological grouping and the PCNA-LI were studied with the Cox test. Most significant features were histological as detected using classical techniques including histological grading. The utilization of objective values (mitosis, cellular density and necrosis) appears to be useful in grading astrocytic tumors. Our results emphasize the importance of cytological, histological and PCNA-LI parameters as predictors of tumor behaviour.

摘要

在15年期间,从由单个临床团队服务的一家医疗机构收集的250例星形细胞瘤病例中,选取了80例进行研究,采用了全面的临床、随访、组织病理学分析以及增殖细胞核抗原(PCNA)免疫染色,以获得PCNA标记指数(LI)。进行了统计评估和判别分析,目的是阐明各种参数作为肿瘤行为预测指标的重要性。数据与生存情况(进行了10年随访)相关。当使用Cox检验研究组织学分组和PCNA-LI时,发现与生存存在显著相关性。最显著的特征是使用包括组织学分级在内的经典技术检测到的组织学特征。客观值(有丝分裂、细胞密度和坏死)的应用似乎有助于星形细胞瘤的分级。我们的结果强调了细胞学、组织学和PCNA-LI参数作为肿瘤行为预测指标的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验