Prognostic value of a microRNA signature in nasopharyngeal carcinoma: a microRNA expression analysis
Autor: | Yan Li, Jing Zeng, Ying Sun, Mei Yin Zhang, Rui Xue Cui, Jun Ma, Ning Jiang, Ying Guo, Na Liu, Lei Chen, Jing Ping Yun, Bi Jun Huang, Li Li, Nian Yong Chen, Qing Mei He, Hui Yun Wang, Wen Fei Li, Li Zhi Liu, Rong Rong Wei, William C. Cho, Mo Chen |
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Rok vydání: | 2012 |
Předmět: |
Adult
Male Oncology China medicine.medical_specialty Kaplan-Meier Estimate TNM staging system Bioinformatics Risk Assessment Disease-Free Survival Cohort Studies Pharyngectomy Internal medicine Biomarkers Tumor medicine Carcinoma Humans Stage (cooking) Survival analysis Aged Neoplasm Staging Proportional Hazards Models Retrospective Studies Nasopharyngeal Carcinoma Paraffin Embedding Receiver operating characteristic Proportional hazards model business.industry Gene Expression Profiling Hazard ratio Nasopharyngeal Neoplasms Middle Aged Prognosis medicine.disease Survival Analysis Gene Expression Regulation Neoplastic MicroRNAs Nasopharyngeal carcinoma Female business |
Zdroj: | The Lancet Oncology. 13:633-641 |
ISSN: | 1470-2045 |
DOI: | 10.1016/s1470-2045(12)70102-x |
Popis: | Summary Background MicroRNAs (miRNAs) can be used as prognostic biomarkers in many types of cancer. We aimed to identify miRNAs that were prognostic in patients with nasopharyngeal carcinoma. Methods We retrospectively analysed miRNA expression profiles in 312 paraffin-embedded specimens of nasopharyngeal carcinoma from Sun Yat-sen University Cancer Center (Guangzhou, China) and 18 specimens of non-cancer nasopharyngitis. Using an 873 probe microarray, we assessed associations between miRNA signatures and clinical outcome in a randomly selected 156 samples (training set) and validated findings in the remaining 156 samples (internal validation set). We confirmed the miRNAs signature using quantitative RT-PCR analysis in 156 samples from a second randomisation of the 312 samples, and validated the miRNA signature in 153 samples from the West China Hospital of Sichuan University in Chengdu, China (independent set). We used the Kaplan-Meier method and log-rank tests to estimate correlations of the miRNA signature with disease-free survival (DFS), distant metastasis-free survival (DMFS), and overall survival. Findings 41 miRNAs were differentially expressed between nasopharyngeal carcinoma and non-cancer nasopharyngitis tissues. A signature of five miRNAs, each significantly associated with DFS, was identified in the training set. We calculated a risk score from the signature and classified patients as high risk or low risk. Compared with patients with low-risk scores, patients with high risk scores in the training set had shorter DFS (hazard ratio [HR] 2·73, 95% CI 1·46–5·11; p=0·0019), DMFS (3·48, 1·57–7·75; p=0·0020), and overall survival (2·48, 1·24–4·96; p=0·010). We noted equivalent findings in the internal validation set for DFS (2·47, 1·32–4·61; p=0·0052), DMFS (2·28, 1·09–4·80; p=0·030), and overall survival (2·87, 1·38–5·96; p=0·0051) and in the independent set for DFS (3·16, 1·65–6·04; p=0·0011), DMFS (2·39, 1·05–5·42; p=0·037), and overall survival (3·07, 1·34–7·01; p=0·0082). The five-miRNA signature was an independent prognostic factor. A combination of this signature and TNM stage had better prognostic value than did TNM stage alone in the training set (area under receiver operating characteristics 0·68 [95% CI 0·60–0·76] vs 0·60 [0·52–0·67]; p=0·013), the internal validation set (0·70 [0·61–0·78] vs 0·61 [0·54–0·68]; p=0·012), and the independent set (0·70 [0·62–0·78] vs 0·63 [0·56–0·69]; p=0·032). Interpretation Identification of patients with the five-miRNA signature might add prognostic value to the TNM staging system and inform treatment decisions for patients at high risk of progression. Funding Science Foundation of Chinese Ministry of Health, National Natural Science Foundation of China, Pearl River Scholar Funded Scheme, Guangdong Key Scientific and Technological Innovation Program, Guangdong Natural Science Foundation, Fundamental Research Funds for the Central Universities. |
Databáze: | OpenAIRE |
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