Oropharyngeal cancer

Hermans, Robert

doi:10.1102/1470-7330.2005.0030

Cited by 7 publications

(2 citation statements)

References 6 publications

(7 reference statements)

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“…Imaging methods such as CT and MRI rely upon visualisation of the retropharyngeal fat plane to rule out prevertebral space involvement. However, cross-sectional imaging could show false negative results unless there is visualisation of vertebral destruction,6 as happened in the present case (figure 2). …”

Section: Discussionmentioning

confidence: 54%

Posterior pharyngeal wall carcinoma presenting as sudden onset bilateral upper limb radiculopathy

Revannasiddaiah¹,

Thakur²,

Rastogi³

et al. 2012

Case Reports

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This report describes the case of an elderly gentleman who presented with sudden onset bilateral upper limb radiculopathy and neck stiffness. On neck radiography, erosion of the fourth cervical vertebral body was seen. Further evaluation revealed the cause to be a moderately differentiated squamous cell carcinoma of the posterior pharyngeal wall. In spite of prompt initiation of radiation therapy with concurrent steroids, the patient died of progressive disease within 3 weeks of initial presentation.

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Section: Discussionmentioning

confidence: 54%

Posterior pharyngeal wall carcinoma presenting as sudden onset bilateral upper limb radiculopathy

Revannasiddaiah¹,

Thakur²,

Rastogi³

et al. 2012

Case Reports

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“…Oropharyngeal carcinomas are mostly composed of two subsites, namely, the palatine tonsils and the base of the tongue ( 1 ). Approximately 90% of oropharyngeal tumors are squamous cell carcinomas (SCC) ( 2 ). According to an epidemiological study, tonsillar squamous cell carcinoma (TSCC) represents approximately 15%–20% of all oropharyngeal SCCs in the United States ( 3 ).…”

Section: Introductionmentioning

confidence: 99%

Mortality patterns of patients with tonsillar squamous cell carcinoma: a population-based study

Wang,

Li,

Niu

et al. 2023

Front. Endocrinol.

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ObjectiveTonsillar squamous cell carcinoma (TSCC) and second primary malignancies (SPMs) are the most common causes of mortality in patients with primary TSCC. However, the competing data on TSCC-specific death (TSD) or SPM-related death in patients with TSCC have not been evaluated. This study aimed to analyze the mortality patterns and formulate prediction models of mortality risk caused by TSCC and SPMs.MethodsData on patients with a first diagnosis of TSCC were extracted as the training cohort from the 18 registries comprising the Surveillance, Epidemiology, and End Results (SEER) database. A competing risk approach of cumulation incidence function was used to estimate cumulative incidence curves. Fine and gray proportional sub-distributed hazard model analyses were performed to investigate the risk factors of TSD and SPMs. A nomogram was developed to predict the 5- and 10-year risk probabilities of death caused by TSCC and SPMs. Moreover, data from the 22 registries of the SEER database were also extracted to validate the nomograms.ResultsIn the training cohort, we identified 14,530 patients with primary TSCC, with TSCC (46.84%) as the leading cause of death, followed by SPMs (26.86%) among all causes of death. In the proportion of SPMs, the lungs and bronchus (22.64%) were the most common sites for SPM-related deaths, followed by the larynx (9.99%), esophagus (8.46%), and Non-Melanoma skin (6.82%). Multivariate competing risk model showed that age, ethnicity, marital status, primary site, summary stage, radiotherapy, and surgery were independently associated with mortality caused by TSCC and SPMs. Such risk factors were selected to formulate prognostic nomograms. The nomograms showed preferable discrimination and calibration in both the training and validation cohorts.ConclusionPatients with primary TSCC have a high mortality risk of SPMs, and the competing risk nomogram has an ideal performance for predicting TSD and SPMs-related mortality. Routine follow-up care for TSCC survivors should be expanded to monitor SPMs.

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Proton HR-MAS MR spectroscopy of oral squamous cell carcinoma tissues: an ex vivo study to identify malignancy induced metabolic fingerprints

et al. 2010

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Oral squamous cell carcinoma (SCC) represents more than 90% of all head and neck cancers as reported by Hermans (Cancer Imaging, 5(Spec No A), S52-S57, 2005), which draws attention of investigative research for novel predictive metabolic biomarkers to understand the malignancy induced biochemical perturbations occurring at molecular level. In the present work, proton HR-MAS NMR spectroscopic studies have been performed on resected human oral SCC tumor tissues, its neighboring margins and bed tissues (n = 159), obtained from 36 patients (n = 27 training set; n = 9 unknown test set), for the identification of metabolic fingerprints. The proton NMR spectra were then subjected to chemometric unsupervised PCA and supervised OSC-filtered PCA and PLS-DA multivariate analysis. Application of PLS-DA on orthogonally signal corrected training data-set (n = 120 tissue specimens; 27 patients) allowed [95% correct classification of malignant tissues from benign samples with [98% specificity and sensitivity. The OSC-PLS-DA model thus constructed was used to predict the class membership of unknown tissue specimens (n = 39) obtained from nine patients. These tissue samples were correctly predicted in its respective histological categories with 97.4% diagnostic accuracy. The regression coefficients obtained from OSC-filtered PLS-DA model indicated that malignant tissues had higher levels of glutamate, choline, phosphocholine, lactate, acetate, taurine, glycine, leucine, lysine, isoleucine and alanine, and lower levels of creatine and PUFA, representing altered metabolic processes (lipidogenesis, protein synthesis, and volume regulation) during tumor progression. Thus proton HR-MAS MR spectroscopy could efficiently identify the metabolic perturbations of malignant tumor from non-malignant bed and margins tissue specimens, which may be helpful in understanding the extent of tumor penetration in neighboring tissues. Keywords Squamous cell carcinoma Á HR-MAS NMR Á Orthogonal signal correction Á Principal component analysis Á Partial least square discriminant analysis Abbreviations HR-MAS High resolution magic angle spinning PCA Principal component analysis OSC Orthogonal signal correction PLS Partial least square NOESY Nuclear overhauser enhancement spectroscopy COSY Correlation spectroscopy CPMG Carr Purcell Meiboom Gill sequence HSQC Heteronuclear single quantum coherence SCC Squamous cell carcinoma Electronic supplementary material The online version of this article (

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Oropharyngeal cancer

Cited by 7 publications

References 6 publications

Posterior pharyngeal wall carcinoma presenting as sudden onset bilateral upper limb radiculopathy

Posterior pharyngeal wall carcinoma presenting as sudden onset bilateral upper limb radiculopathy

Mortality patterns of patients with tonsillar squamous cell carcinoma: a population-based study

Proton HR-MAS MR spectroscopy of oral squamous cell carcinoma tissues: an ex vivo study to identify malignancy induced metabolic fingerprints

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