OBJECTIVES: Oral tongue cancer may have a distinct epidemiological profile from other mucosal neoplasms of the oral cavity. We sought to further define the demographic characteristics associated with oral tongue cancer to determine if unique characteristics exist compared with other oral cavity cancers. STUDY DESIGN: Cross-sectional analysis using cross-tabulations and multivariate regression modeling. SETTING: The Maryland Health Service Cost Review Commission database. SUBJECTS AND METHODS: Discharge data from a state database were queried to perform a cross-sectional analysis of oral cancer cases treated surgically from 1990 to 2009. RESULTS: A total of 1688 oral cancer cases comprised the study population, with 719 (42.6%) of cases involving the oral tongue. Tongue cancer comprised 31.6% of oral cancers in black patients and 44.1% of oral cancer in white patients (P = .011). Racial disparities in oral tongue cancer were identified for age at diagnosis, with significantly fewer black patients younger than 40 years (3.8%) compared with whites (11.3%; P = .006). After controlling for all other variables, oral tongue cancer patients were significantly less likely to be older than 40 years (odds ratio [OR], 0.40; P < .001), black (OR, 0.53; P = .001), have Medicare payor status (OR, 0.55; P = .002), and advanced comorbidity (OR, 0.22; P < .001), in contrast to other oral cancer subsites. CONCLUSION: The racial and socioeconomic qualities of oral tongue cancer patients differ significantly from other oral cancers. This younger, healthier subgroup of oral cancer patients demonstrates a distinct population at risk for cancer of the oral tongue.
OBJECTIVES:Oral tongue cancer may have a distinct epidemiological profile from other mucosal neoplasms of the oral cavity. We sought to further define the demographic characteristics associated with oral tongue cancer to determine if unique characteristics exist compared with other oral cavity cancers. STUDY DESIGN: Cross-sectional analysis using cross-tabulations and multivariate regression modeling. SETTING: The Maryland Health Service Cost Review Commission database. SUBJECTS AND METHODS: Discharge data from a state database were queried to perform a cross-sectional analysis of oral cancer cases treated surgically from 1990 to 2009. RESULTS: A total of 1688 oral cancer cases comprised the study population, with 719 (42.6%) of cases involving the oral tongue. Tongue cancer comprised 31.6% of oral cancers in black patients and 44.1% of oral cancer in whitepatients (P = .011). Racial disparities in oral tongue cancer were identified for age at diagnosis, with significantly fewer black patients younger than 40 years (3.8%) compared with whites (11.3%; P = .006). After controlling for all other variables, oral tongue cancerpatients were significantly less likely to be older than 40 years (odds ratio [OR], 0.40; P < .001), black (OR, 0.53; P = .001), have Medicare payor status (OR, 0.55; P = .002), and advanced comorbidity (OR, 0.22; P < .001), in contrast to other oral cancer subsites. CONCLUSION: The racial and socioeconomic qualities of oral tongue cancerpatients differ significantly from other oral cancers. This younger, healthier subgroup of oral cancerpatients demonstrates a distinct population at risk for cancer of the oral tongue.
Authors: Ryan Li; Daniel L Faden; Carole Fakhry; Chaz Langelier; Yuchen Jiao; Yuxuan Wang; Matthew D Wilkerson; Chandra Sekhar Pedamallu; Matthew Old; James Lang; Myriam Loyo; Sun Mi Ahn; Marietta Tan; Zhen Gooi; Jason Chan; Jeremy Richmon; Laura D Wood; Ralph H Hruban; Justin Bishop; William H Westra; Christine H Chung; Joseph Califano; Christine G Gourin; Chetan Bettegowda; Matthew Meyerson; Nickolas Papadopoulos; Kenneth W Kinzler; Bert Vogelstein; Joseph L DeRisi; Wayne M Koch; Nishant Agrawal Journal: Head Neck Date: 2014-08-23 Impact factor: 3.147
Authors: Jin Wang; Tongxin Xie; Bingbing Wang; William N William; John V Heymach; Adel K El-Naggar; Jeffrey N Myers; Carlos Caulin Journal: Cancer Prev Res (Phila) Date: 2017-10-10
Authors: Gesche Frohwitter; Horst Buerger; Eberhard Korsching; Paul J van Diest; Johannes Kleinheinz; Thomas Fillies Journal: Head Face Med Date: 2017-05-10 Impact factor: 2.151
Authors: Gesche Frohwitter; Horst Buerger; Paul J VAN Diest; Eberhard Korsching; Johannes Kleinheinz; Thomas Fillies Journal: Oncol Lett Date: 2016-05-16 Impact factor: 2.967