Neil Mundi, Stephenie D Prokopec, Farhad Ghasemi, Andrew Warner, Krupal Patel, Danielle MacNeil, Christopher Howlett, William Stecho, Paul Plantinga, Nicole Pinto, Kara M Ruicci, Mohammed Imran Khan, Myung Woul Han, John Yoo, Kevin Fung, Axel Sahovaler, David A Palma, Eric Winquist, Joe S Mymryk, John W Barrett, Paul C Boutros, Anthony C Nichols
{"title":"口腔癌队列的基因组和人乳头瘤病毒分析确定TP53是总生存的预测因子。","authors":"Neil Mundi, Stephenie D Prokopec, Farhad Ghasemi, Andrew Warner, Krupal Patel, Danielle MacNeil, Christopher Howlett, William Stecho, Paul Plantinga, Nicole Pinto, Kara M Ruicci, Mohammed Imran Khan, Myung Woul Han, John Yoo, Kevin Fung, Axel Sahovaler, David A Palma, Eric Winquist, Joe S Mymryk, John W Barrett, Paul C Boutros, Anthony C Nichols","doi":"10.1186/s41199-019-0045-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 (<i>p</i> = 0.03).</p><p><strong>Conclusions: </strong>Mutations in TP53 were associated with poor patient survival. Expanding our sample size may identify further predictors of outcome to direct customized cancer care.</p>","PeriodicalId":72518,"journal":{"name":"Cancers of the head & neck","volume":" ","pages":"5"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41199-019-0045-0","citationCount":"11","resultStr":"{\"title\":\"Genomic and human papillomavirus profiling of an oral cancer cohort identifies TP53 as a predictor of overall survival.\",\"authors\":\"Neil Mundi, Stephenie D Prokopec, Farhad Ghasemi, Andrew Warner, Krupal Patel, Danielle MacNeil, Christopher Howlett, William Stecho, Paul Plantinga, Nicole Pinto, Kara M Ruicci, Mohammed Imran Khan, Myung Woul Han, John Yoo, Kevin Fung, Axel Sahovaler, David A Palma, Eric Winquist, Joe S Mymryk, John W Barrett, Paul C Boutros, Anthony C Nichols\",\"doi\":\"10.1186/s41199-019-0045-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 (<i>p</i> = 0.03).</p><p><strong>Conclusions: </strong>Mutations in TP53 were associated with poor patient survival. Expanding our sample size may identify further predictors of outcome to direct customized cancer care.</p>\",\"PeriodicalId\":72518,\"journal\":{\"name\":\"Cancers of the head & neck\",\"volume\":\" \",\"pages\":\"5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s41199-019-0045-0\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancers of the head & neck\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s41199-019-0045-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2019/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancers of the head & neck","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41199-019-0045-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Genomic and human papillomavirus profiling of an oral cancer cohort identifies TP53 as a predictor of overall survival.
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 (p = 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.
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