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BackgroundWe examined the prognostic value of a panel of biomarkers in patients with squamous cell carcinoma of the head and neck (SCCHN) who were human immunodeficiency virus (HIV) positive (HIV-positive head and neck cancer) and HIV negative (HIV-negative head and neck cancer).MethodsTissue microarrays (TMAs) were constructed using tumors from 41 disease site-matched and age-matched HIV-positive head and neck cancer cases and 44 HIV-negative head and neck cancer controls. Expression of tumor biomarkers was assessed by immunohistochemistry (IHC) and correlations examined with clinical variables.ResultsExpression levels of the studied oncogenic and inflammatory tumor biomarkers were not differentially regulated by HIV status. Among patients with HIV-positive head and neck cancer, laryngeal disease site (P = .003) and Clavien-Dindo classification IV (CD4) counts

Significance: Polarized hyperspectral microscopes with the capability of full Stokes vector imaging have potential for many biological and medical applications. Aim: The aim of this study is to investigate polarized hyperspectral imaging (PHSI) for improving the visualization of collagen fibers, which is an important biomarker related to tumor development, and improving the differentiation of normal and tumor cells on pathologic slides. Approach: We customized a polarized hyperspectral microscopic imaging system comprising an upright microscope with a motorized stage, two linear polarizers, two liquid crystal variable retarders (LCVRs), and a compact SnapScan hyperspectral camera. The polarizers and LCVRs worked in tandem with the hyperspectral camera to acquire polarized hyperspectral images, which were further used to calculate four Stokes vectors: S0, S1, S2, and S3. Synthetic RGB images of the Stokes vectors were generated for the visualization of cellular components in PHSI images. Regions of interest of collagen, normal cells, and tumor cells in the synthetic RGB images were selected, and spectral signatures of the selected components were extracted for comparison. Specifically, we qualitatively and quantitatively investigated the enhanced visualization and spectral characteristics of dense fibers and sparse fibers in normal stroma tissue, fibers accumulated within tumors, and fibers accumulated around tumors. Results: By employing our customized polarized hyperspectral microscope, we extract the spectral signatures of Stokes vector parameters of collagen as well as of tumor and normal cells. The measurement of Stokes vector parameters increased the image contrast of collagen fibers and cells in the slides. Conclusions: With the spatial and spectral information from the Stokes vector data cubes (S0, S1, S2, and S3), our PHSI microscope system enhances the visualization of tumor cells and tumor microenvironment components, thus being beneficial for pathology and oncology. [ABSTRACT FROM AUTHOR]

For patients undergoing surgical cancer resection of squamous cell carcinoma (SCCa), cancer-free surgical margins are essential for good prognosis. We developed a method to use hyperspectral imaging (HSI), a noncontact optical imaging modality, and convolutional neural networks (CNNs) to perform an optical biopsy of ex-vivo, surgical gross-tissue specimens, collected from 21 patients undergoing surgical cancer resection. Using a cross-validation paradigm with data from different patients, the CNN can distinguish SCCa from normal aerodigestive tract tissues with an area under the receiver operator curve (AUC) of 0.82. Additionally, normal tissue from the upper aerodigestive tract can be subclassified into squamous epithelium, muscle, and gland with an average AUC of 0.94. After separately training on thyroid tissue, the CNN can differentiate between thyroid carcinoma and normal thyroid with an AUC of 0.95, 92% accuracy, 92% sensitivity, and 92% specificity. Moreover, the CNN can discriminate medullary thyroid carcinoma from benign multinodular goiter (MNG) with an AUC of 0.93. Classical-type papillary thyroid carcinoma is differentiated from MNG with an AUC of 0.91. Our preliminary results demonstrate that an HSI-based optical biopsy method using CNNs can provide multicategory diagnostic information for normal and cancerous head-and-neck tissue, and more patient data are needed to fully investigate the potential and reliability of the proposed technique. [ABSTRACT FROM AUTHOR]

Background: There is conflicting evidence regarding the role of peritumoral lymphatic vessel density (LVD) and blood microvessel density (MVD) in the metastasis and prognosis of head and neck squamous cell carcinoma (HNSCC). Existing studies are limited to one or two head and neck subsites and/or small sample sizes. A larger study incorporating multiple sub‐sites is needed to address the role of peritumoral LVD and MVD in HNSCC metastasis and prognosis. Methods: Tissue samples from 200 HNSCC cases were stained simultaneously using immunohistochemistry (IHC) for markers of peritumoral LVD (lymphatic vessel marker D240) and MVD (blood vessel marker CD31). Of the stained slides, 166 and 167 were evaluable for LVD and MVD, respectively. The results were then correlated with clinicopathologic features and patient outcomes. Results: Patients with metastatic disease were more likely to have high peritumoral MVD. Through multivariable analyses, MVD was not significantly related to DFS and OS, while low LVD was related to higher risk of disease progression and poor survival. Conclusions: Peritumoral MVD was found to be positively associated with metastasis, while LVD was found to be inversely related to both metastasis and progression of HNSCC. These findings may suggest a prognostic role of both peritumoral LVD and MVD in patients with HNSCC. In the current study, we used a larger sample size which incorporates multiple sub‐sites to address the role of peritumoral LVD and MVD in HNSCC metastasis and prognosis. It was found that peritumoral MVD was positively associated with metastasis, while LVD was inversely related to both metastasis and progression of HNSCC. These findings may suggest a prognostic role of both peritumoral LVD and MVD in patients with HNSCC. [ABSTRACT FROM AUTHOR]

A label-free, hyperspectral imaging (HSI) approach has been proposed for tumor margin assessment. HSI data, i.e., hypercube (x,y,λ), consist of a series of high-resolution images of the same field of view that are acquired at different wavelengths. Every pixel on an HSI image has an optical spectrum. In this pilot clinical study, a pipeline of a machine-learning-based quantification method for HSI data was implemented and evaluated in patient specimens. Spectral features from HSI data were used for the classification of cancer and normal tissue. Surgical tissue specimens were collected from 16 human patients who underwent head and neck (H&N) cancer surgery. HSI, autofluorescence images, and fluorescence images with 2-deoxy-2-[(7-nitro-2,1,3-benzoxadiazol-4-yl)amino]-D-glucose (2-NBDG) and proflavine were acquired from each specimen. Digitized histologic slides were examined by an H&N pathologist. The HSI and classification method were able to distinguish between cancer and normal tissue from the oral cavity with an average accuracy of 90% ± 8%, sensitivity of 89% ± 9%, and specificity of 91% ± 6%. For tissue specimens from the thyroid, the method achieved an average accuracy of 94% ± 6%, sensitivity of 94% ± 6%, and specificity of 95% ± 6%. HSI outperformed autofluorescence imaging or fluorescence imaging with vital dye (2-NBDG or proflavine). This study demonstrated the feasibility of label-free, HSI for tumor margin assessment in surgical tissue specimens of H&N cancer patients. Further development of the HSI technology is warranted for its application in image-guided surgery. [ABSTRACT FROM AUTHOR]

Background The purpose of this study was to determine if lymph node ratio is associated with locoregional recurrence for patients with oral cavity or laryngeal cancer treated with initial surgical management. Methods The study included 350 patients with oral cavity (73%) or laryngeal cancer (27%) who underwent initial surgery. All analyses were multivariable, adjusting for primary site, pathologic prognostic factors, and adjuvant therapy. Results Lymph node ratio was significantly associated with locoregional recurrence, in which each 1% increase in lymph node ratio had an adjusted hazard ratio (HR) for locoregional recurrence of 1.02 (95% confidence interval [CI], 1.002-1.042; p = .05). Lymph node ratio was also associated with OS, in which each 1% increase in lymph node ratio had an adjusted HR for death of 1.028 (95% CI, 1.012-1.045; p = .001). Conclusion Adjusting for pathologic factors and adjuvant therapy, lymph node ratio was found to be an independent prognostic factor for locoregional recurrence and overall survival (OS). Patients with lymph node ratio ≥20% are at high risk of locoregional recurrence and death, and may be considered for adjuvant chemoradiation. © 2014 Wiley Periodicals, Inc. Head Neck 37: 777-782, 2015 [ABSTRACT FROM AUTHOR]

Epidemiologic studies suggest that coffee intake is associated with reduced risk of oral/pharyngeal cancer. The authors examined associations of caffeinated coffee, decaffeinated coffee, and tea intake with fatal oral/pharyngeal cancer in the Cancer Prevention Study II, a prospective US cohort study begun in 1982 by the American Cancer Society. Among 968,432 men and women who were cancer free at enrollment, 868 deaths due to oral/pharyngeal cancer occurred during 26 years of follow-up. Cox proportional hazards regression was used to estimate multivariable-adjusted relative risk. Intake of >4 cups/day of caffeinated coffee was associated with a 49% lower risk of oral/pharyngeal cancer death relative to no/occasional coffee intake (relative risk = 0.51, 95% confidence interval: 0.40, 0.64) (1 cup/day = 237 ml). A dose-related decline in relative risk was observed with each single cup/day consumed (Ptrend < 0.001). The association was not modified by sex, smoking status, or alcohol use. An inverse association for >2 cups/day of decaffeinated coffee intake was suggested (relative risk = 0.61, 95% confidence interval: 0.37, 1.01). No association was found for tea drinking. In this large prospective study, caffeinated coffee intake was inversely associated with oral/pharyngeal cancer mortality. Research is needed to elucidate biologic mechanisms whereby coffee might help to protect against these often fatal cancers. [ABSTRACT FROM PUBLISHER]

BACKGROUND: Adenoid cystic carcinoma (ACC) of the head and neck (ACCHN) is a rare tumor of minor salivary, parotid, and submandibular glands. The biologic behavior of the disease is poorly understood, and nonsurgical treatment strategies have yet to be standardized. The long-term prognosis continues to be guarded, with an estimated 10-year survival of <60%. Population-based studies examining ACC are scarce. The authors aimed to analyze incidence rates and survival outcomes for patients diagnosed with ACCHN using national population-based data. METHODS: Data were obtained from the US National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. Newly diagnosed ACCHN cases reported to SEER from 1973 through 2007 were categorized according to their sex, race, age, year of diagnosis, marital status, treatment interventions, primary tumor site, and disease stage. Incidence of ACCHN and postdiagnosis survival were examined over time and compared across different demographic and disease-related categories. RESULTS: The authors identified 3026 patients with ACCHN. The mean age at diagnosis among those cases was 57.4 years (range, 11-99 years). Analyses of incidence data demonstrated a decline in ACCHN rates between 1973 and 2007, noted across all sexes and races with no detectable inflexion points. The overall 5-year, 10-year, and 15-year survival outcomes for ACCHN patients were 90.3%, 79.9%, and 69.2%, respectively. Females, patients with localized disease, and younger patients were found to have significantly better survival across all time periods (all comparison-specific log-rank P values <0.001). Multivariate analyses revealed better prognosis among women compared with men (hazard ratio [HR], 0.73; 95% confidence interval [CI], 0.65-0.82), among married compared with unmarried individuals (HR, 0.81; 95% CI, 0.71-0.91), with certain sites of origin and stage of disease (HR, 2.788; 95% CI, 2.36-3.29), and in those who had surgery of the primary tumor site (HR, 0.45; 95% CI, 0.37-0.54). CONCLUSIONS: The overall incidence of ACC is declining. The noted differences in survival based on sex, marital status, site of origin, and treatment intervention require further investigation. Cancer 2012. © 2012 American Cancer Society [ABSTRACT FROM AUTHOR]

Surgical resection of head and neck (H and N) squamous cell carcinoma (SCC) may yield inadequate surgical cancer margins in 10 to 20% of cases. This study investigates the performance of label-free, reflectance-based hyperspectral imaging (HSI) and autofluorescence imaging for SCC detection at the cancer margin in excised tissue specimens from 102 patients and uses fluorescent dyes for comparison. Fresh surgical specimens (n = 293) were collected during H and N SCC resections (n = 102). The tissue specimens were imaged with reflectance-based HSI and autofluorescence imaging and afterwards with two fluorescent dyes for comparison. A histopathological ground truth was made. Deep learning tools were developed to detect SCC with new patient samples (inter-patient) and machine learning for intra-patient tissue samples. Area under the curve (AUC) of the receiver-operator characteristic was used as the main evaluation metric. Additionally, the performance was estimated in mm increments circumferentially from the tumor-normal margin. In intra-patient experiments, HSI classified conventional SCC with an AUC of 0.82 up to 3 mm from the cancer margin, which was more accurate than proflavin dye and autofluorescence (both p < 0.05). Intra-patient autofluorescence imaging detected human papilloma virus positive (HPV+) SCC with an AUC of 0.99 at 3 mm and greater accuracy than proflavin dye (p < 0.05). The inter-patient results showed that reflectance-based HSI and autofluorescence imaging outperformed proflavin dye and standard red, green, and blue (RGB) images (p < 0.05). In new patients, HSI detected conventional SCC in the larynx, oropharynx, and nasal cavity with 0.85–0.95 AUC score, and autofluorescence imaging detected HPV+ SCC in tonsillar tissue with 0.91 AUC score. This study demonstrates that label-free, reflectance-based HSI and autofluorescence imaging methods can accurately detect the cancer margin in ex-vivo specimens within minutes. This non-ionizing optical imaging modality could aid surgeons and reduce inadequate surgical margins during SCC resections. [ABSTRACT FROM AUTHOR]