OBJECTIVES/HYPOTHESIS: A reliable estimate of survival is important as it may impact treatment choice. The objective of this study is to identify serum autoantibody biomarkers that can be used to improve prognostication for patients affected with head and neck squamous cell carcinoma (HNSCC). STUDY DESIGN: Prospective cohort study. METHODS: A panel of 130 serum biomarkers, previously selected for cancer detection using microarray-based serological profiling and specialized bioinformatics, were evaluated for their potential as prognostic biomarkers in a cohort of 119 HNSCC patients followed for up to 12.7 years. A biomarker was considered positive if its reactivity to the particular patient's serum was greater than one standard deviation above the mean reactivity to sera from the other 118 patients, using a leave-one-out cross-validation model. Survival curves were estimated according to the Kaplan-Meier method, and statistically significant differences in survival were examined using the log rank test. Independent prognostic biomarkers were identified following analysis using multivariate Cox proportional hazards models. RESULTS: Poor overall survival was associated with African Americans (hazard ratio [HR] for death = 2.61; 95% confidence interval [CI]: 1.58-4.33; P = .000), advanced stage (HR = 2.79; 95% CI: 1.40-5.57; P = .004), and recurrent disease (HR = 6.66; 95% CI: 2.54-17.44; P = .000). On multivariable Cox analysis adjusted for covariates (race and stage), six of the 130 markers evaluated were found to be independent prognosticators of overall survival. CONCLUSIONS: The results shown here are promising and demonstrate the potential use of serum biomarkers for prognostication in HNSCC patients. Further clinical trials to include larger samples of patients across multiple centers may be warranted.
OBJECTIVES/HYPOTHESIS: A reliable estimate of survival is important as it may impact treatment choice. The objective of this study is to identify serum autoantibody biomarkers that can be used to improve prognostication for patients affected with head and neck squamous cell carcinoma (HNSCC). STUDY DESIGN: Prospective cohort study. METHODS: A panel of 130 serum biomarkers, previously selected for cancer detection using microarray-based serological profiling and specialized bioinformatics, were evaluated for their potential as prognostic biomarkers in a cohort of 119 HNSCC patients followed for up to 12.7 years. A biomarker was considered positive if its reactivity to the particular patient's serum was greater than one standard deviation above the mean reactivity to sera from the other 118 patients, using a leave-one-out cross-validation model. Survival curves were estimated according to the Kaplan-Meier method, and statistically significant differences in survival were examined using the log rank test. Independent prognostic biomarkers were identified following analysis using multivariate Cox proportional hazards models. RESULTS: Poor overall survival was associated with African Americans (hazard ratio [HR] for death = 2.61; 95% confidence interval [CI]: 1.58-4.33; P = .000), advanced stage (HR = 2.79; 95% CI: 1.40-5.57; P = .004), and recurrent disease (HR = 6.66; 95% CI: 2.54-17.44; P = .000). On multivariable Cox analysis adjusted for covariates (race and stage), six of the 130 markers evaluated were found to be independent prognosticators of overall survival. CONCLUSIONS: The results shown here are promising and demonstrate the potential use of serum biomarkers for prognostication in HNSCC patients. Further clinical trials to include larger samples of patients across multiple centers may be warranted.
Authors: Jay S Cooper; Thomas F Pajak; Arlene A Forastiere; John Jacobs; Bruce H Campbell; Scott B Saxman; Julie A Kish; Harold E Kim; Anthony J Cmelak; Marvin Rotman; Mitchell Machtay; John F Ensley; K S Clifford Chao; Christopher J Schultz; Nancy Lee; Karen K Fu Journal: N Engl J Med Date: 2004-05-06 Impact factor: 91.245
Authors: Jacques Bernier; Christian Domenge; Mahmut Ozsahin; Katarzyna Matuszewska; Jean-Louis Lefèbvre; Richard H Greiner; Jordi Giralt; Philippe Maingon; Frédéric Rolland; Michel Bolla; Francesco Cognetti; Jean Bourhis; Anne Kirkpatrick; Martine van Glabbeke Journal: N Engl J Med Date: 2004-05-06 Impact factor: 91.245
Authors: A M Hong; T A Dobbins; C S Lee; D Jones; G B Harnett; B K Armstrong; J R Clark; C G Milross; J Kim; C J O'Brien; B R Rose Journal: Br J Cancer Date: 2010-10-19 Impact factor: 7.640
Authors: Daniel M Aebersold; Susanne C Froehlich; Maciej Jonczy; Karl T Beer; Jean Laissue; Richard H Greiner; Valentin Djonov Journal: Radiother Oncol Date: 2002-06 Impact factor: 6.280
Authors: T E Carey; K A Kimmel; D R Schwartz; D E Richter; S R Baker; C J Krause Journal: Otolaryngol Head Neck Surg Date: 1983-10 Impact factor: 3.497
Authors: Franz X Bosch; Daniel Ritter; Christel Enders; Christa Flechtenmacher; Ulrich Abel; Andreas Dietz; Manfred Hergenhahn; Hagen Weidauer Journal: Int J Cancer Date: 2004-09-10 Impact factor: 7.396
Authors: Linda Boldrup; Giuseppe Troiano; Xiaolian Gu; Philip Coates; Robin Fåhraeus; Torben Wilms; Lena Norberg-Spaak; Lixiao Wang; Karin Nylander Journal: Oncotarget Date: 2017-09-30