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01.12.2012 | Research | Ausgabe 1/2012 Open Access

World Journal of Surgical Oncology 1/2012

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

World Journal of Surgical Oncology > Ausgabe 1/2012
Guo-Yan Liu, Kun-Hong Liu, Yin Li, Chao Pan, Ji-Qin Su, Hong-Feng Liao, Ren-Xiang Yv, Zhao-Hui Li, Li Yuan, Huan-Jing Zhang, Chi-Meng Tzeng, Bing Xiong
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1477-7819-10-252) contains supplementary material, which is available to authorized users.
Guo-Yan Liu, Kun-Hong Liu contributed equally to this work.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

GYL was the main initiator of this work; KHL carried out the bioinformatic analysis; YL prepared and generated TMA; CP and HFL completed the pathological diagnosis and classification; JQS, ZHL and RXY performed clinical and empirical data recoding and analysis; LY and HJZ were the principal investigators. Clinical advice and supporting, plus FFPE as tissue microarray were fully corresponding by MD, Bing Xiong. For the RNA probing design, RISH and PCR validation, Dr. Tzeng took all responsibility, plus English writing and editing. Those two people shared corresponding author as "co-coresponding". All authors read and approved the final manuscript.



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.


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).


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).


The genetic alterations in TP53 between NTAC and NTAB may provide new insight into the field of cancerization and tumor transformation.
Authors’ original file for figure 1
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