Suppr超能文献

基于组织形态学的肺腺癌分级系统可预测 I 期肿瘤的疾病复发。

A grading system of lung adenocarcinomas based on histologic pattern is predictive of disease recurrence in stage I tumors.

机构信息

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

出版信息

Am J Surg Pathol. 2010 Aug;34(8):1155-62. doi: 10.1097/PAS.0b013e3181e4ee32.

Abstract

Currently no objective grading system for pulmonary adenocarcinomas exists. To determine whether specific histologic patterns or combinations thereof could be linked to an objective grading system, the histologic patterns in metastatic tumor deposits was compared with the patterns seen in the corresponding 73 primary tumor to determine whether a specific pattern had higher propensity to metastasize. The concordance of the predominant histologic pattern in the primary tumor and the metastases was of 100% for micropapillary, 86% for solid, 42% for acinar, and 23% for papillary types of adenocarcinoma. Informed by these results, a 3-tier grading system based on the histologic subtypes was established. Grade I, a pattern with low metastatic potential (BAC); Grade II, patterns with intermediate metastatic potential (acinar and papillary); and Grade III, patterns with high metastatic potential (solid and micropapillary). These grades were combined into a number of different scoring systems, whose ability to predict recurrence or death from disease was tested in 366 stage 1 adenocarcinomas. A score based on the 2 most predominant grades was able to stratify patients into low-to-high risk for recurrence or death of disease (P=0.001). The 5-years disease-free survival for patients in the highest score group was of 0.73, compared with 0.84 and 0.92 in the intermediate and lowest score groups. Concordance probability estimate was 0.65 (95% confidence interval 0.57-0.73). Therefore, this scoring system provides valuable information in discriminating patients with different risk of disease-recurrence in a highly homogeneous population of patients with stage I cancer.

摘要

目前尚无用于肺腺癌的客观分级系统。为了确定特定的组织学模式或其组合是否可以与客观分级系统相关联,比较了转移性肿瘤沉积物中的组织学模式与相应的 73 个原发性肿瘤中的模式,以确定是否存在具有更高转移倾向的特定模式。微乳头状、实体型、腺泡型和乳头状腺癌的主要组织学模式在原发性肿瘤和转移灶中的一致性分别为 100%、86%、42%和 23%。根据这些结果,建立了基于组织学亚型的 3 级分级系统。I 级,转移潜能低的模式(BAC);II 级,转移潜能中等的模式(腺泡和乳头状);III 级,转移潜能高的模式(实体和微乳头状)。这些等级被组合成许多不同的评分系统,这些评分系统在 366 例 I 期腺癌中测试了预测疾病复发或死亡的能力。基于 2 种最主要等级的评分能够将患者分为低风险到高风险的复发或疾病死亡(P=0.001)。最高评分组的患者 5 年无病生存率为 0.73,而中间评分组和最低评分组的患者 5 年无病生存率分别为 0.84 和 0.92。一致性概率估计值为 0.65(95%置信区间 0.57-0.73)。因此,该评分系统在高度同质的 I 期癌症患者群体中,为鉴别具有不同疾病复发风险的患者提供了有价值的信息。

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