一项口腔癌队列的基因组和人乳头瘤病毒分析确定TP53为总生存期的预测指标。
Genomic and human papillomavirus profiling of an oral cancer cohort identifies TP53 as a predictor of overall survival.
作者信息
Mundi Neil, Prokopec Stephenie D, Ghasemi Farhad, Warner Andrew, Patel Krupal, MacNeil Danielle, Howlett Christopher, Stecho William, Plantinga Paul, Pinto Nicole, Ruicci Kara M, Khan Mohammed Imran, Han Myung Woul, Yoo John, Fung Kevin, Sahovaler Axel, Palma David A, Winquist Eric, Mymryk Joe S, Barrett John W, Boutros Paul C, Nichols Anthony C
机构信息
1Department of Otolaryngology - Head and Neck Surgery, Western University, London, ON Canada.
2Victoria Hospital, London Health Science Centre, Room B3-431A, 800 Commissioners Road East, London, ON N6A 5W9 Canada.
出版信息
Cancers Head Neck. 2019 Dec 5;4:5. doi: 10.1186/s41199-019-0045-0. eCollection 2019.
BACKGROUND
The genomic landscape of head and neck cancer has been reported through The Cancer Genome Atlas project. We attempt to determine if high-risk human papillomavirus (HPV) or frequently mutated genes are correlated with survival in an oral cancer cohort.
METHODS
Patient demographic data along with data from final pathology was collected. Tumor DNA was analyzed using a custom Illumina targeted sequencing panel. Five high-risk HPV types were tested by qPCR. Statistical analyses were used to identify associations between patient outcome and mutational status.
RESULTS
High-risk HPV types were identified in 7% of cases; HPV status was not associated with survival. Mutations were identified in TP53, TERT promoter, & PIK3CA. Mutations in TP53 were significantly associated with poorer overall survival on multi-variate analysis ( = 0.03).
CONCLUSIONS
Mutations in TP53 were associated with poor patient survival. Expanding our sample size may identify further predictors of outcome to direct customized cancer care.
背景
通过癌症基因组图谱项目已报道了头颈癌的基因组格局。我们试图确定高危人乳头瘤病毒（HPV）或频繁突变的基因是否与口腔癌队列中的生存率相关。
方法
收集患者人口统计学数据以及最终病理数据。使用定制的Illumina靶向测序面板分析肿瘤DNA。通过qPCR检测五种高危HPV类型。采用统计分析来确定患者预后与突变状态之间的关联。
结果
7%的病例中鉴定出高危HPV类型；HPV状态与生存率无关。在TP53、TERT启动子和PIK3CA中发现了突变。多变量分析显示，TP53突变与较差的总生存率显著相关（P = 0.03）。
结论
TP53突变与患者生存率低相关。扩大样本量可能会发现更多的预后预测指标，以指导个性化癌症治疗。
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