Oral squamous cell carcinoma (OSOC) is associated with considerable mortality and morbidity. The current staging system does not adequately predict the clinical outcome of individual 0SCC patients. In this ARRA application, we propose to test the respective gene expression signatures for the prediction of invasive 0SCC, nodal metastasis, and 0SCC-specific survival that we identified in our initial study (R01CA095419) using banked samples and additional samples from newly enrolled patients. Our ultimate goals are to address three clinically important questions: 1) What determines which 0SCC patients go on to develop local recurrence and/or second primary tumors, so that more aggressive medical treatment and/or surveillance can be offered selectively to these patients? 2) How can we identify those clinically node-negative 0SCC patients who harbor occult nodal metastasis, patients who should undergo neck dissection while those without can be spared unnecessary surgery? 3) To what degree can molecular markers improve upon the prediction of survival based on the current staging system so that physicians can better individualize patients'treatments? In the 2-year ARRA funding period, we plan to continue to enroll 0SCC cases and collect biological samples and comprehensive data to support the following aims: 1a: Validate our discovery of occult metastasis-related genes in another set of clinically node-negative 0SCC patients for their ability to predict the presence of occult metastasis or the development of nodal metastasis. 1b: Validate the predictive ability of the genes we found most strongly related to OSCC-specific survival in a new group of patients, and validate our observation that our genetic expression signature for survival when combined with TNM stage predicts 0SCC-specific survival better than TNM stage alone. 2: Test the surgical margins and clinically normal oral mucosa of 137 0SCC patients by qRT-PCR for the expression of four genes in the models we found best to differentiate invasive OSCC and dysplasia from controls to determine if the expressions of these genes differ according to disease severity. The results will be used to formulate a subsequent proposal to investigate the association of these genes'expressions with local recurrence and/or second primary oral cancer. 3: Assess genome-wide loss of heterozygosity (LOH) and copy number aberration (CNA) in relation to clinical characteristics of OSCC, such as tumor size, stage and nodal metastasis in 100 0SCC patients. We will interrogate paired DNA from tumor cells isolated by laser capture microdissection and DNA from peripheral blood using Affymetrix 6.0 SNP arrays. We hypothesize that some LOH and/or CNA may be associated with stage and metastasis, and ultimately hope to determine the degree to which a combination of stage, LOH/CNA and gene expressions can better predict metastasis and/or survival than stage or gene expression, alone or in combination. HPV plays an important etiologic role in some oropharyngeal cancers, we plan to determine and incorporate HPV genotypes in the analyses and interpretation of the study findings.

Public Health Relevance

The results of this study will improve our understanding of the molecular processes of OSCC and lay the foundation for future longitudinal studies investigating whether the molecular signatures we identify may permit physicians to 1) screen oral lesions and surgical margins of tumors for the prediction of local recurrence and second primary tumor, 2) screen oral cancer patients with clinically negative neck nodes for occult metastasis to help better decide which patients should undergo neck surgery, and 3) identify patients with a high likelihood of poor survival who may benefit from aggressive surveillance and/or aggressive treatments.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
2R01CA095419-06A1
Application #
7729052
Study Section
Epidemiology of Cancer Study Section (EPIC)
Program Officer
Freedman, Andrew
Project Start
2002-04-01
Project End
2011-08-31
Budget Start
2009-09-01
Budget End
2010-08-31
Support Year
6
Fiscal Year
2009
Total Cost
$966,967
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Brockton, Nigel T; Lohavanichbutr, Pawadee; Enwere, Emeka K et al. (2017) Impact of tumoral carbonic anhydrase IX and Ki-67 expression on survival in oral squamous cell carcinoma patients. Oncol Lett 14:5434-5442
Feng, Lu; Houck, John R; Lohavanichbutr, Pawadee et al. (2017) Transcriptome analysis reveals differentially expressed lncRNAs between oral squamous cell carcinoma and healthy oral mucosa. Oncotarget 8:31521-31531
Cancer Genome Atlas Network (2015) Comprehensive genomic characterization of head and neck squamous cell carcinomas. Nature 517:576-82
Chen, Chu; Zhang, Yuzheng; Loomis, Melissa M et al. (2015) Genome-Wide Loss of Heterozygosity and DNA Copy Number Aberration in HPV-Negative Oral Squamous Cell Carcinoma and Their Associations with Disease-Specific Survival. PLoS One 10:e0135074
Xu, Chang; Wang, Pei; Liu, Yan et al. (2013) Integrative genomics in combination with RNA interference identifies prognostic and functionally relevant gene targets for oral squamous cell carcinoma. PLoS Genet 9:e1003169
Lohavanichbutr, Pawadee; Méndez, Eduardo; Holsinger, F Christopher et al. (2013) A 13-gene signature prognostic of HPV-negative OSCC: discovery and external validation. Clin Cancer Res 19:1197-203
Serrano, Nicholas A; Xu, Chang; Liu, Yan et al. (2012) Integrative analysis in oral squamous cell carcinoma reveals DNA copy number-associated miRNAs dysregulating target genes. Otolaryngol Head Neck Surg 147:501-8
Sharma, Arun; Méndez, Eduardo; Yueh, Bevan et al. (2012) Human papillomavirus-positive oral cavity and oropharyngeal cancer patients do not have better quality-of-life trajectories. Otolaryngol Head Neck Surg 146:739-45
Lohavanichbutr, Pawadee; Houck, John; Doody, David R et al. (2012) Gene expression in uninvolved oral mucosa of OSCC patients facilitates identification of markers predictive of OSCC outcomes. PLoS One 7:e46575
Mendez, Eduardo; Lohavanichbutr, Pawadee; Fan, Wenhong et al. (2011) Can a metastatic gene expression profile outperform tumor size as a predictor of occult lymph node metastasis in oral cancer patients? Clin Cancer Res 17:2466-73

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