Morphometric Profiling of Lung Cancers-Its Association With Clinicopathologic, Biologic, and Molecular Genetic Features
Morphometric Profiling of Lung Cancers-Its Association With Clinicopathologic, Biologic, and Molecular Genetic Features
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DOI：
10.1097/pas.0b013e3181c79a6f
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发表时间：
2010-02-01
影响因子：
5.6
通讯作者：
Kitamura, Hitoshi
中科院分区：
文献类型：
--
作者：
Okudela, Koji;Woo, Tetsukan;Kitamura, Hitoshi
传统的肺癌组织学分类不能很好地描述单个肿瘤的形态学特征，因为它不能完全涵盖细胞学特征。本文介绍了一种利用形态计量学分析的新型分型系统，该系统涵盖了多种形态学特征，包括组织学结构、细胞类型、细胞质颜色和内部结构。核轮廓，染色质模式，核仁数量和显著性，以及核大小和圆度的平均和偏差。共检查201例肺肿瘤（尺寸< 20mm）。采用分层聚类分析的结果绘制树状图。在这里，我们暂时聚焦于8个形态测量簇，并分析了它们与各种临床病理和分子遗传特征的潜在关联。术后复发风险、生长活性、致癌突变（EGFR或KRAS）、肿瘤抑制因子（p53和p16）损伤、性别易感性和吸烟状况在8组患者中存在显著差异。该系统有潜力改善组织病理学诊断和我们对肺癌变的理解。
The traditional histologic classification Of lung cancer is not satisfactory to describe the morphologic characteristics of individual tumors, because it does not fully cover cytologic features. This paper describes a novel typing system using morphometric profiling that covers a variety of morphologic features including histologic architecture, cell type, cytoplasmic color and internal structure. nuclear outline, chromatin pattern, nucleoli Count and remarkableness, and average and deviation of nuclear size and circularity. In all, 201 cases of lung tumors (whose sizes are < 20 mm) were examined. Results of a hierarchical Clustering analysis were used to draw a dendrogram. We here tentatively focused on 8 morphometric Clusters and analyzed their potential association with a variety of clinicopathologic and molecular genetic features. Significant differences in postoperative recurrent risk, growth activity, oncogenic mutation (EGFR or KRAS), impairments of tumor suppressors (p53 and p16), sex predisposition, and smoking status were found among the 8 clusters. The system has the potential to improve histopathologic diagnosis and Our understanding of carcinogenesis in the lung.