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Open Access Research

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

Guo-Yan Liu1234, Kun-Hong Liu5, Yin Li6, Chao Pan4, Ji-Qin Su4, Hong-Feng Liao4, Ren-Xiang Yv4, Zhao-Hui Li4, Li Yuan7, Huan-Jing Zhang8, Chi-Meng Tzeng8* and Bing Xiong123*

Author Affiliations

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

2 Hubei Cancer Clinical Study Center, Wuhan, Hubei, 430071, PR China

3 Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, Hubei, 430071, PR China

4 Zhongshan Hospital Affiliated to Xiamen University, Xiamen, 361004, PR China

5 Software School of Xiamen University, Xiamen, 361005, PR China

6 Xiamen Entry-Exit Inspection and Quarantine Bureau, Xiamen, 361005, PR China

7 School of Life Sciences, Key Laboratory of the Ministry of Education for Cell Biology and Tumor Cell Engineering, Xiamen University, Xiamen, 361005, PR China

8 College of Pharmaceutical Sciences, Translational Medicine Research Center, Xiamen University, Xiamen, 361102, PR China

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World Journal of Surgical Oncology 2012, 10:252  doi:10.1186/1477-7819-10-252

Published: 21 November 2012

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.

Keywords:
Cancerization; Genetic biomarkers; Normal tissue adjacent to benign; Normal tissue adjacent to cancer; Tissue microarray