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新型癌变标志物 TP53 及其在区分癌旁正常组织与良性组织旁正常组织中的作用。

Novel cancerization marker, TP53, and its role in distinguishing normal tissue adjacent to cancerous tissue from normal tissue adjacent to benign tissue.

机构信息

Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, PR China.

出版信息

World J Surg Oncol. 2012 Nov 21;10:252. doi: 10.1186/1477-7819-10-252.

Abstract

BACKGROUND

The histopathological and molecular heterogeneity of normal tissue adjacent to cancerous tissue (NTAC) and normal tissue adjacent to benign tissue (NTAB), and the availability of limited specimens make deciphering the mechanisms of carcinogenesis challenging. Our goal was to identify histogenetic biomarkers that could be reliably used to define a transforming fingerprint using RNA in situ hybridization.

METHODS

We evaluated 15 tumor-related RNA in situ hybridization biomarkers using tumor microarray and samples of seven tumor-adjacent normal tissues from 314 patients. Biomarkers were determined using comprehensive statistical methods (significance of support vector machine-based artificial intelligence and area under curve scoring of classification distribution).

RESULTS

TP53 was found to be a most reliable index (P <10(-7); area under curve >87%) for distinguishing NTAC from NTAB, according to the results of a significance panel (BCL10, BECN1, BRCA2, FITH, PTCH11 and TP53).

CONCLUSIONS

The genetic alterations in TP53 between NTAC and NTAB may provide new insight into the field of cancerization and tumor transformation.

摘要

背景

癌旁组织(NTAC)和良性组织旁正常组织(NTAB)的组织病理学和分子异质性,以及有限标本的可用性,使得解析致癌机制具有挑战性。我们的目标是确定组织发生生物标志物,这些标志物可通过 RNA 原位杂交可靠地用于定义转化指纹。

方法

我们使用肿瘤微阵列评估了 15 种与肿瘤相关的 RNA 原位杂交生物标志物,并对 314 名患者的 7 种肿瘤旁正常组织样本进行了评估。使用综合统计方法(基于支持向量机的人工智能的支持意义和分类分布的曲线下面积评分)确定生物标志物。

结果

根据显著性面板(BCL10、BECN1、BRCA2、FITH、PTCH11 和 TP53)的结果,TP53 被发现是区分 NTAC 和 NTAB 的最可靠指标(P<10(-7);曲线下面积>87%)。

结论

TP53 基因在 NTAC 和 NTAB 之间的改变可能为癌变和肿瘤转化领域提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7039/3544683/4db289329bb2/1477-7819-10-252-1.jpg

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