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Inverse correlation between Naa10p and Pirh2 expression and the combined prognostic value in oral squamous cell carcinoma patients
Author(s) -
Zheng Jun,
Wang Fazhan,
Yang Yongyong,
Xu Jiang,
Yang Jinhua,
Wang Keying,
Liu Yuhao,
Du Gang,
Zeng Yan
Publication year - 2019
Publication title -
journal of oral pathology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.887
H-Index - 83
eISSN - 1600-0714
pISSN - 0904-2512
DOI - 10.1111/jop.12886
Subject(s) - basal cell , medicine , value (mathematics) , correlation , pathology , expression (computer science) , dermatology , oncology , statistics , mathematics , geometry , computer science , programming language
Background This study aims to explore the associations between N ‐α‐acetyltransferase 10 protein (Naa10p) and p53‐induced protein with a RING‐H2 domain (Pirh2) expression and clinicopathological characteristics in oral squamous cell carcinoma (OSCC). Methods Immunohistochemistry was performed to detect Naa10p and Pirh2 levels containing 118 OSCC specimens, and additional analyses were used to determine correlations between Naa10p and Pirh2 expressions, generate survival curves, and perform univariate and multivariate statistical analyses. Further, quantitative real‐time PCR (qRT‐PCR) and western blot were employed to examine Naa10p and Pirh2 expression level in OSCC patients' samples. We further validated the result using RNAseq data from The Cancer Genome Atlas (TCGA) and mRNA array data from GSE31056 and GSE30784. Results Naa10p and Pirh2 are overexpression, and the protein level of Naa10p was negatively correlated with that of Pirh2 in OSCC tissues. Multivariate Cox proportional hazard regression analysis showed that positive Naa10p expression and negative Pirh2 expression were both independent good prognostic factors for OSCC patients. Furthermore, the Naa10p‐positive/Pirh2‐negative group has the best prognosis among all OSCC patients. Results from qRT‐PCR showed the higher expression level of Naa10 and lower expression level of Pirh2 in tumor tissues than adjacent normal tissues. TCGA database and data from GSE31056 and GSE30784 showed the similar result. The correlation analysis showed that the mRNA level of Naa10 was negatively correlated that of Pirh2 . Conclusion The expression of Naa10p is negatively correlated with that of Pirh2, and positive Naa10p and negative Pirh2 might be independent biomarkers for better OSCC prognoses.