Head and neck squamous cell carcinomas of unknown primary: Can ancillary studies help identify more primary tumor sites?

A subset of head and neck squamous cell carcinomas present solely as metastatic disease in the neck and are of unknown primary origin (SCCUP). Most primary tumors will ultimately be identified, usually in the oropharynx. In a minority of cases, the primary site remains elusive. Here, we examine the role of ancillary testing, including mutational signature analysis (MSA), to help identify likely primary sites in such cases. Twenty-two cases of SCCUP in the neck, collected over a 10-year period, were classified by morphology and viral status; including human papillomavirus (HPV) testing by p16 immunohistochemistry (IHC) and RT-qPCR, as well as Epstein-Barr virus (EBV) testing by EBER-ISH. CD5 and c-KIT (CD117) IHC was done to evaluate for possible thymic origin in all virus-negative cases. Whole exome sequencing, followed by MSA, was used to identify UV signature mutations indicative of cutaneous origin. HPV was identified in 12 of 22 tumors (54.5%), favoring an oropharyngeal origin, and closely associated with nonkeratinizing tumor morphology (Fisher's exact test; p = 0.0002). One tumor with indeterminant morphology had discordant HPV and p16 status (p16+/HPV-). All tumors were EBV-negative. Diffuse expression of CD5 and c-KIT was identified in 1 of 10 virus-negative SCCUPs (10%), suggesting a possible ectopic thymic origin rather than a metastasis. A UV mutational signature, indicating cutaneous origin, was identified in 1 of 10 (10%) virus-negative SCCUPs. A cutaneous auricular primary emerged 3 months after treatment in this patient. Primary tumors became clinically apparent in 2 others (1 hypopharynx, 1 hypopharynx/larynx). Thus, after follow-up, 6 tumors remained unclassifiable as to the possible site of origin (27%). Most SCCUPs of the neck in our series were HPV-associated and thus likely of oropharyngeal origin. UV signature mutation analysis and additional IHC for CD5 and c-KIT for possible thymic origin may aid in further classifying virus-negative unknown primaries. Close clinical inspection of hypopharyngeal mucosa may also be helpful, as a subset of primary tumors later emerged at this site.

Impact of human papillomavirus on the tumor microenvironment in oropharyngeal squamous cell carcinoma.

Increasing evidence has elucidated the clinicopathological significance of tumor microenvironment (TME) cells. However, TME differences associated with human papillomavirus (HPV) infection in oropharyngeal squamous cell carcinoma (OPSCC) have not been well characterized. In our study, we comprehensively determined the TME infiltration patterns in 315 OPSCC patients, and systematically correlated the TME phenotypes with genomic characteristics and clinical features of OPSCCs. In this way, we observed the enrichment of high endothelial cells and adaptive immune cells in HPV-positive (HPV+) OPSCCs, in contrast to the enrichment of fibroblasts and capillary endothelial cells in HPV- negative (HPV-) OPSCCs. By focusing on immune checkpoint genes, we constructed a coexpression network using genes that were differentially expressed between HPV+ and HPV- OPSCCs. Functional analysis of the network indicated that HPV+ OPSCCs had elevated immune activities by promoting adaptive immune response and suppressing activities related to extracellular matrix organization. Subsequently, clinical analysis showed that identified TME-relevant genes were closely associated with the prognosis and therapy response in OPSCC. Importantly, results from the TME analysis were further validated using an independent OPSCC cohort.

Image analysis reveals differences in tumor multinucleations in Black and White patients with human papillomavirus-associated oropharyngeal squamous cell carcinoma.

BACKGROUND: Understanding biological differences between different racial groups of human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC) patients, who have differences in terms of incidence, survival, and tumor morphology, can facilitate accurate prognostic biomarkers, which can help develop personalized treatment strategies. METHODS: This study evaluated whether there were morphologic differences between HPV-associated tumors from Black and White patients in terms of multinucleation index (MuNI), an image analysis-derived metric that measures density of multinucleated tumor cells within epithelial regions on hematoxylin-eosin images and previously has been prognostic in HPV-associated OPSCC patients. In this study, the authors specifically evaluated whether the same MuNI cutoff that was prognostic of overall survival (OS) and disease-free survival in their previous study, TTR , is valid for Black and White patients, separately. We also evaluated population-specific cutoffs, TB for Blacks and TW for Whites, for risk stratification. RESULTS: MuNI was statistically significantly different between Black (mean, 3.88e-4; median, 3.67e-04) and White patients (mean, 3.36e-04; median, 2.99e-04), with p = .0078. Using TTR , MuNI was prognostic of OS in the entire population with hazard ratio (HR) of 1.71 (p = .002; 95% confidence interval [CI], 1.21-2.43) and in White patients with HR of 1.72 (p = .005; 95% CI, 1.18-2.51). Population-specific cutoff, TW , yielded improved HR of 1.77 (p = .003; 95% CI, 1.21-2.58) for White patients, whereas TB did not improve risk-stratification in Black patients with HR of 0.6 (p = .3; HR, 0.6; 95% CI, 0.2-1.80). CONCLUSIONS: Histological difference between White and Black patient tumors in terms of multinucleated tumor cells suggests the need for considering population-specific prognostic biomarkers for personalized risk stratification strategies for HPV-associated OPSCC patients.

A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers.

MOTIVATION: Predicting early in treatment whether a tumor is likely to respond to treatment is one of the most difficult yet important tasks in providing personalized cancer care. Most oropharyngeal squamous cell carcinoma (OPSCC) patients receive standard cancer therapy. However, the treatment outcomes vary significantly and are difficult to predict. Multiple studies indicate that microRNAs (miRNAs) are promising cancer biomarkers for the prognosis of oropharyngeal cancer. The reliable and efficient use of miRNAs for patient stratification and treatment outcome prognosis is still a very challenging task, mainly due to the relatively high dimensionality of miRNAs compared to the small number of observation sets; the redundancy, irrelevancy and uncertainty in the large amount of miRNAs; and the imbalanced observation patient samples. RESULTS: In this study, a new machine learning-based prognosis model was proposed to stratify subsets of OPSCC patients with low and high risks for treatment failure. The model cascaded a two-stage prognostic biomarker selection method and an evidential K-nearest neighbors classifier to address the challenges and improve the accuracy of patient stratification. The model has been evaluated on miRNA expression profiling of 150 oropharyngeal tumors by use of overall survival and disease-specific survival as the end points of disease treatment outcomes, respectively. The proposed method showed superior performance compared to other advanced machine-learning methods in terms of common performance quantification metrics. The proposed prognosis model can be employed as a supporting tool to identify patients who are likely to fail standard therapy and potentially benefit from alternative targeted treatments.Availability and implementation: Code is available in https://github.com/shenghh2015/mRMR-BFT-outcome-prediction.

Reduced Wide Local Excision Margins are Associated with Increased Risk of Relapse and Death from Merkel Cell Carcinoma.

INTRODUCTION: Current recommendations regarding the size of wide local excision (WLE) margins for Merkel cell carcinoma (MCC) are not well established. METHODS: WLE and pathologic margins were respectively reviewed from 79 patients with stage I or II MCC, who underwent WLE at Washington University in St Louis from 2005 to 2019. Outcomes included local recurrence-free survival (LRFS), regional recurrence-free survival (RRFS), distant recurrence-free survival (DRFS), disease-free survival (DFS), and disease-specific survival (DSS). RESULTS: Thirty-two percent of patients received adjuvant radiotherapy (aRT). At 1 year, DFS was 51.3%, 71.4%, and 87.8% for patients with WLE margins < 1 cm, 1-1.9 cm, and ≥ 2 cm, respectively (p = 0.02). At 3 years, the DSS was 57.7%, 82.6%, and 100% for patients with WLE margins < 1 cm, 1-1.9 cm, and ≥ 2 cm, respectively (p = 0.02). Multivariable Cox analysis demonstrated that every 1-cm increase in WLE margins was associated with improved RRFS [hazard ratio (HR) = 0.28, 95% confidence interval (CI): 0.11-0.75], DRFS (HR 0.30, CI 0.08-0.99), DFS (HR 0.42, CI 0.21-0.86), and DSS (HR 0.16, CI 0.04-0.61). WLE and pathologic margin size were moderately-to-strongly correlated (r = 0.66). Close or positive pathologic margins (< 3 mm) were associated with reduced DRFS (HR 6.83, CI 1.80-25.9), DFS (HR 2.98, CI 1.31-6.75), and DSS (HR 3.52, CI 1.14-10.9). CONCLUSION: Reduced WLE and pathologic margins were associated with higher risk of relapse and death from MCC. Larger WLE margins are important in populations with lower rates of adjuvant radiation.

20 pack-year smoking history as strongest smoking metric predictive of HPV-positive oropharyngeal cancer outcomes.

OBJECTIVES: While smoking is associated with worse outcomes in HPV-positive oropharyngeal squamous cell carcinoma (OPSCC), the magnitude of this association is unclear given the heterogenous smoking definitions and outcomes. Our objective was to investigate the association between smoking, survival, and recurrence in HPV-related OPSCC using multiple smoking metrics reported in the literature. MATERIALS AND METHODS: This was a retrospective cohort study of 375 adults with p16+ OPSCC undergoing surgical resection (n = 272) or definitive chemoradiation (n = 103) at a tertiary academic institution from 2006 to 2017. The primary outcome was overall survival (OS). Secondary outcomes included disease-free survival (DFS), disease-specific survival (DSS), and recurrence. We used multiple smoking metrics commonly cited in previous studies, including ever versus never smokers, current versus former/never smokers, ≤10 versus >10 pack-year, ≤20 versus >20 pack-year, and continuous pack-year. RESULTS: There were 375 patients, median age 58 years, with 326 (87%) males, and median follow-up of 52 months. Of all smoking metrics, >20 pack-year history was the strongest predictor of both OS (HR 2.24, 95% CI: 1.19-4.20) and DFS (HR 1.67, 95% CI: 1.04-2.66) on univariable and multivariable analysis after adjusting for age, overall stage, and comorbidities. Patients with >20 pack-year smoking history were also more likely to have recurrence (HR 1.59, 95% CI: 0.95-2.67) after adjusting for overall stage. CONCLUSION: Heavier smoking >20 pack-years was the strongest smoking metric associated with 2-times worse survival and recurrence. Our findings suggest that >20 pack-year smoking history may be a more useful cutoff for risk stratification models but requires further validation.

Management of primary skin cancer during a pandemic: Multidisciplinary recommendations.

During the coronavirus disease 2019 (COVID-19) pandemic, providers and patients must engage in shared decision making regarding the pros and cons of early versus delayed interventions for localized skin cancer. Patients at highest risk of COVID-19 complications are older; are immunosuppressed; and have diabetes, cancer, or cardiopulmonary disease, with multiple comorbidities associated with worse outcomes. Physicians must weigh the patient's risk of COVID-19 complications in the event of exposure against the risk of worse oncologic outcomes from delaying cancer therapy. Herein, the authors have summarized current data regarding the risk of COVID-19 complications and mortality based on age and comorbidities and have reviewed the literature assessing how treatment delays affect oncologic outcomes. They also have provided multidisciplinary recommendations regarding the timing of local therapy for early-stage skin cancers during this pandemic with input from experts at 11 different institutions. For patients with Merkel cell carcinoma, the authors recommend prioritizing treatment, but a short delay can be considered for patients with favorable T1 disease who are at higher risk of COVID-19 complications. For patients with melanoma, the authors recommend delaying the treatment of patients with T0 to T1 disease for 3 months if there is no macroscopic residual disease at the time of biopsy. Treatment of tumors ≥T2 can be delayed for 3 months if the biopsy margins are negative. For patients with cutaneous squamous cell carcinoma, those with Brigham and Women's Hospital T1 to T2a disease can have their treatment delayed for 2 to 3 months unless there is rapid growth, symptomatic lesions, or the patient is immunocompromised. The treatment of tumors ≥T2b should be prioritized, but a 1-month to 2-month delay is unlikely to worsen disease-specific mortality. For patients with squamous cell carcinoma in situ and basal cell carcinoma, treatment can be deferred for 3 months unless the individual is highly symptomatic.

Validation of NRG oncology/RTOG-0129 risk groups for HPV-positive and HPV-negative oropharyngeal squamous cell cancer: Implications for risk-based therapeutic intensity trials.

BACKGROUND: Radiation Therapy Oncology Group (RTOG)-0129 recursive partitioning analysis was the basis for risk-based therapeutic intensification trials for oropharyngeal cancer (OPC). To the authors' knowledge, the question of whether RTOG-0129 overall survival (OS) estimates for low-risk, intermediate-risk, and high-risk groups are similar in other data sets or applicable to progression-free survival (PFS) is unknown. Therefore, the authors evaluated whether survival differences between RTOG-0129 risk groups persist at 5 years, are reproducible in an independent clinical trial, and are applicable to PFS, and whether toxicities differ across risk groups. METHODS: Prospective randomized clinical trials were analyzed retrospectively. RTOG-0129 evaluated standard versus accelerated fractionation radiotherapy concurrent with cisplatin. RTOG-0522 compared the combination of cisplatin and accelerated fractionation with or without cetuximab. Patients with OPC with available p16 status and tobacco history were eligible. RESULTS: There was a total of 260 patients and 287 patients, respectively, from RTOG-0129 and RTOG-0522, with median follow-ups for surviving patients of 7.9 years (range, 1.7-9.9 years) and 4.7 years (range, 0.1-7.0 years), respectively. Previous OS differences in RTOG-0129 persisted at 5 years. In RTOG-0522, the 5-year OS rates for the low-risk, intermediate-risk, and high-risk groups were 88.1%, 69.9%, and 45.1%, respectively (P for trend, <.001). The 5-year PFS rates for the same 3 groups were 72.9%, 56.1%, and 42.2%, respectively. In RTOG-0522 among a subgroup of patients considered to be at very good risk (p16-positive disease, smoking history of ≤10 pack-years, and classified with T1-T2 disease with ipsilateral lymph nodes measuring ≤6 cm or T3 disease without contralateral or >6 cm lymph nodes), the 5-year OS and PFS rates were 93.8% and 82.2%, respectively. Overall rates of acute and late toxicities were similar by risk group. CONCLUSIONS: RTOG-0129 risk groups persisted at 5 years and were reproducible in RTOG-0522. However, there was variability in the estimates. These data underscore the importance of long-term follow-up and appropriate patient selection in therapeutic deintensification trials.

A multi-institutional comparison of outcomes of immunosuppressed and immunocompetent patients treated with surgery and radiation therapy for cutaneous squamous cell carcinoma of the head and neck.

BACKGROUND: Patients who are chronically immunosuppressed have higher rates of cutaneous squamous cell carcinoma of the head and neck (cSCC-HN). This is the largest multi-institutional study to date investigating the effect of immune status on disease outcomes in patients with cSCC-HN who underwent surgery and received postoperative radiation therapy (RT). METHODS: Patients from 3 institutions who underwent surgery and also received postoperative RT for primary or recurrent, stage I through IV cSCC-HN between 1995 and 2015 were included in this institutional review board-approved study. Patients categorized as immunosuppressed had chronic hematologic malignancy, human immunodeficiency/acquired immunodeficiency syndrome, or had received immunosuppressive therapy for organ transplantation ≥6 months before diagnosis. Overall survival, locoregional recurrence-free survival, and progression-free survival were calculated using the Kaplan-Meier method. Univariate and multivariate analyses were performed using Cox proportional-hazards regression. RESULTS: Of 205 patients, 138 (67.3%) were immunocompetent, and 67 (32.7%) were immunosuppressed. Locoregional recurrence-free survival (47.3% vs 86.1%; P < .0001) and progression-free survival (38.7% vs 71.6%; P = .002) were significantly lower in immunosuppressed patients at 2 years. The 2-year OS rate in immunosuppressed patients demonstrated a similar trend (60.9% vs 78.1%; P = .135) but did not meet significance. On multivariate analysis, immunosuppressed status (hazard ratio [HR], 3.79; P < .0001), recurrent disease (HR, 2.67; P = .001), poor differentiation (HR, 2.08; P = .006), and perineural invasion (HR, 2.05; P = .009) were significantly associated with locoregional recurrence. CONCLUSIONS: Immunosuppressed patients with cSCC-HN had dramatically lower outcomes compared with immunocompetent patients, despite receiving bimodality therapy. Immune status is a strong prognostic factor that should be accounted for in prognostic systems, treatment algorithms, and clinical trial design. Cancer 2017;123:2054-2060. © 2017 American Cancer Society.

Comparison of unilateral versus bilateral intensity-modulated radiotherapy for surgically treated squamous cell carcinoma of the palatine tonsil.

BACKGROUND: The authors hypothesized that unilateral intensity-modulated radiotherapy (IMRT) would decrease toxicity compared with bilateral IMRT for patients with lateralized palatine tonsillar cancer and a neck classification of N0 to N2b, with similar oncological outcomes. METHODS: A total of 154 patients were treated with postoperative IMRT from 1997 through 2013. Data were collected prospectively from 2005 to 2013 and retrospectively collected before 2005. Of those patients with lateralized primary and N0 to N2b disease, 48 received unilateral IMRT (group 1) and 59 received bilateral IMRT (group 2); a total of 47 patients had nonlateralized primary or N2c to N3 disease and received bilateral IMRT (group 3). RESULTS: The median follow-up was 5.5 years. The 5-year locoregional control rates were similar in group 1, group 2, and group 3 (100%, 96%, and 94%, respectively; pooled comparison: P = .39 and group 1 vs group 2 comparison: P = .19). The 5-year overall survival rates were similar in group 1, group 2, and group 3 (85%, 79%, and 76%, respectively; pooled comparison: P = .60 and group 1 vs group 2 comparison: P = .25). There were no contralateral neck recurrences noted among unilaterally treated patients. Unilateral IMRT reduced acute toxicity and improved patient-reported quality of life compared with bilateral IMRT. CONCLUSIONS: Unilateral IMRT appears to reduce acute toxicity and achieves oncological outcomes similar to those of bilateral IMRT in selected patients with lateralized palatine tonsillar cancer with a neck classification of N0 to N2b. Cancer 2017;123:4594-4607. © 2017 American Cancer Society.

Establishing quality indicators for neck dissection: Correlating the number of lymph nodes with oncologic outcomes (NRG Oncology RTOG 9501 and RTOG 0234).

BACKGROUND: Prospective quality metrics for neck dissection have not been established for patients with head and neck squamous cell carcinoma. The purpose of this study was to investigate the association between lymph node counts from neck dissection, local-regional recurrence, and overall survival. METHODS: The number of lymph nodes counted from neck dissection in patients treated in 2 NRG Oncology trials (Radiation Therapy Oncology Group [RTOG] 9501 and RTOG 0234) was evaluated for its prognostic impact on overall survival with a multivariate Cox model adjusted for demographic, tumor, and lymph node data and stratified by the postoperative treatment group. RESULTS: Five hundred seventy-two patients were analyzed at a median follow-up of 8 years. Ninety-eight percent of the patients were pathologically N+. The median numbers of lymph nodes recorded on the left and right sides were 24 and 25, respectively. The identification of fewer than 18 nodes was associated with worse overall survival in comparison with 18 or more nodes (hazard ratio [HR], 1.38; 95% confidence interval [CI], 1.09-1.74; P = .007). The difference appeared to be driven by local-regional failure (HR, 1.46; 95% CI, 1.02-2.08; P = .04) but not by distant metastases (HR, 1.08; 95% CI, 0.77-1.53; P = .65). When the analysis was limited to NRG Oncology RTOG 0234 patients, adding the p16 status to the model did not affect the HR for dissected nodes, and the effect of nodes did not differ with the p16 status. CONCLUSIONS: The removal and identification of 18 or more lymph nodes was associated with improved overall survival and lower rates of local-regional failure, and this should be further evaluated as a measure of quality in neck dissections for mucosal squamous cell carcinoma. Cancer 2016;122:3464-71. © 2016 American Cancer Society.

Basal Cell Skin Cancer, Version 1.2016, NCCN Clinical Practice Guidelines in Oncology.

Basal cell carcinoma (BCC) of the skin is the most common cancer, with a higher incidence than all other malignancies combined. Although it is rare to metastasize, patients with multiple or frequently recurring BCC can suffer substantial comorbidity and be difficult to manage. Assessment of risk is a key element of management needed to inform treatment selection. The overall management of BCC primarily consists of surgical approaches, with radiation therapy as an alternate or adjuvant option. Many superficial therapies for BCC have been explored and continue to be developed, including topicals, cryosurgery, and photodynamic therapy. Two hedgehog pathway inhibitors were recently approved by the FDA for systemic treatment of advanced and metastatic BCC, and others are in development. The NCCN Guidelines for Basal Cell Skin Cancer, published in full herein, include recommendations for selecting among the various surgical approaches based on patient-, lesion-, and disease-specific factors, as well as guidance on when to use radiation therapy, superficial therapies, and hedgehog pathway inhibitors.

A comparative study based on image quality and clinical task performance for CT reconstruction algorithms in radiotherapy.

CT image reconstruction is typically evaluated based on the ability to reduce the radiation dose to as-low-as-reasonably-achievable (ALARA) while maintaining acceptable image quality. However, the determination of common image quality metrics, such as noise, contrast, and contrast-to-noise ratio, is often insufficient for describing clinical radiotherapy task performance. In this study we designed and implemented a new comparative analysis method associating image quality, radiation dose, and patient size with radiotherapy task performance, with the purpose of guiding the clinical radiotherapy usage of CT reconstruction algorithms. The iDose4 iterative reconstruction algorithm was selected as the target for comparison, wherein filtered back-projection (FBP) reconstruction was regarded as the baseline. Both phantom and patient images were analyzed. A layer-adjustable anthropomorphic pelvis phantom capable of mimicking 38-58 cm lateral diameter-sized patients was imaged and reconstructed by the FBP and iDose4 algorithms with varying noise-reduction-levels, respectively. The resulting image sets were quantitatively assessed by two image quality indices, noise and contrast-to-noise ratio, and two clinical task-based indices, target CT Hounsfield number (for electron density determination) and structure contouring accuracy (for dose-volume calculations). Additionally, CT images of 34 patients reconstructed with iDose4 with six noise reduction levels were qualitatively evaluated by two radiation oncologists using a five-point scoring mechanism. For the phantom experiments, iDose4 achieved noise reduction up to 66.1% and CNR improvement up to 53.2%, compared to FBP without considering the changes of spatial resolution among images and the clinical acceptance of reconstructed images. Such improvements consistently appeared across different iDose4 noise reduction levels, exhibiting limited interlevel noise (< 5 HU) and target CT number variations (< 1 HU). The radiation dose required to achieve similar contouring accuracy decreased when using iDose4 in place of FBP, up to 32%. Contouring accuracy improvement for iDose4 images, when compared to FBP, was greater in larger patients than smaller-sized patients. Overall, the iDose4 algorithm provided superior radiation dose control while maintaining or improving task performance, when compared to FBP. The reader study on image quality improvement of patient cases shows that physicians preferred iDose4-reconstructed images on all cases compared to those from FBP algorithm with overall quality score: 1.21 vs. 3.15, p = 0.0022. However, qualitative evaluation strongly indicated that the radiation oncologists chose iDose4 noise reduction levels of 3-4 with additional consideration of task performance, instead of image quality metrics alone. Although higher iDose4 noise reduction levels improved the CNR through the further reduction of noise, there was pixelization of anatomical/tumor structures. Very-low-dose scans yielded severe photon starvation artifacts, which decreased target visualization on both FBP and iDose4 reconstructions, especially for the 58 cm phantom size. The iDose4 algorithm with a moderate noise reduction level is hence suggested for CT simulation and treatment planning. Quantitative task-based image quality metrics should be further investigated to accommodate additional clinical applications.

Eliminating radiotherapy to the contralateral retropharyngeal and high level II lymph nodes in head and neck squamous cell carcinoma is safe and improves quality of life.

BACKGROUND: Radiation treatment volumes in head and neck squamous cell carcinoma (HNSCC) are controversial. The authors report the outcomes, patterns of failure, and quality of life (QOL) of patients who received treatment for HNSCC using intensity-modulated radiation therapy (IMRT) that eliminated the treatment of contralateral retropharyngeal lymph nodes (RPLNs) in the clinically uninvolved neck. METHODS: A prospective institutional database was used to identify patients who had primary oral cavity, oropharyngeal, hypopharyngeal, laryngeal, and unknown primary HNSCC for which they received IMRT. There were 3 temporal groups (generations 1-3). Generation 1 received comprehensive neck IMRT with parotid sparing, generation 2 eliminated the contralateral high level II (HLII) lymph nodes, and generation 3 further eliminated the contralateral RPLNs in the clinically uninvolved neck. Patterns of failure and survival analyses were completed, and QOL data measured using the MD Anderson Dysphagia Inventory were compared in a subset of patients from generations 1 and 3. RESULTS: In total, 748 patients were identified. Of the 488 patients who received treatment in generation 2 or 3, 406 had a clinically uninvolved contralateral neck. There were no failures in the spared RPLNs (95% confidence interval, 0%-1.3%) or in the high contralateral neck (95% confidence interval, 0%-0.7%). QOL data were compared between 44 patients in generation 1 and 51 patients in generation 3. QOL improved both globally and in all domains assessed for generation 3, in which reduced radiotherapy volumes were used (P < .007). CONCLUSIONS: For patients with locally advanced HNSCC, eliminating coverage to the contralateral HLII lymph nodes and contralateral RPLNs in the clinically uninvolved side of the neck is associated with minimal risk of failure in these regions and significantly improved patient-reported QOL.

Merkel cell carcinoma, version 1.2014.

Merkel cell carcinoma is a rare, aggressive cutaneous tumor that combines the local recurrence rates of infiltrative nonmelanoma skin cancer with the regional and distant metastatic rates of thick melanoma. The NCCN Guidelines for Merkel Cell Carcinoma provide recommendations on the diagnosis and management of this aggressive disease based on clinical evidence and expert consensus. This version includes revisions regarding the use of PET/CT imaging and the addition of a new section on the principles of pathology to provide guidance on the analysis, interpretation, and reporting of pathology results.

Dermatofibrosarcoma protuberans, version 1.2014.

Dermatofibrosarcoma protuberans (DFSP) is an uncommon soft tissue tumor characterized by a relatively high risk of local recurrence and low risk of metastasis. The NCCN Guidelines for DFSP provide multidisciplinary recommendations on the management of patients with this rare disease. These NCCN Guidelines Insights highlight the addition of the Principles of Pathology section, which provides recommendations on the pathologic assessment of DFSP. Because DFSP can mimic other lesions, immunohistochemical studies are often required to establish diagnosis. Cytogenetic testing for the characteristic translocation t(17;22)(q22;q13) can also be valuable in the differential diagnosis of DFSP with other histologically similar tumors.

A medical image classification method based on self-regularized adversarial learning.

BACKGROUND: Deep learning (DL) techniques have been extensively applied in medical image classification. The unique characteristics of medical imaging data present challenges, including small labeled datasets, severely imbalanced class distribution, and significant variations in imaging quality. Recently, generative adversarial network (GAN)-based classification methods have gained attention for their ability to enhance classification accuracy by incorporating realistic GAN-generated images as data augmentation. However, the performance of these GAN-based methods often relies on high-quality generated images, while large amounts of training data are required to train GAN models to achieve optimal performance. PURPOSE: In this study, we propose an adversarial learning-based classification framework to achieve better classification performance. Innovatively, GAN models are employed as supplementary regularization terms to support classification, aiming to address the challenges described above. METHODS: The proposed classification framework, GAN-DL, consists of a feature extraction network (F-Net), a classifier, and two adversarial networks, specifically a reconstruction network (R-Net) and a discriminator network (D-Net). The F-Net extracts features from input images, and the classifier uses these features for classification tasks. R-Net and D-Net have been designed following the GAN architecture. R-Net employs the extracted feature to reconstruct the original images, while D-Net is tasked with the discrimination between the reconstructed image and the original images. An iterative adversarial learning strategy is designed to guide model training by incorporating multiple network-specific loss functions. These loss functions, serving as supplementary regularization, are automatically derived during the reconstruction process and require no additional data annotation. RESULTS: To verify the model's effectiveness, we performed experiments on two datasets, including a COVID-19 dataset with 13 958 chest x-ray images and an oropharyngeal squamous cell carcinoma (OPSCC) dataset with 3255 positron emission tomography images. Thirteen classic DL-based classification methods were implemented on the same datasets for comparison. Performance metrics included precision, sensitivity, specificity, and F 1 $F_1$ -score. In addition, we conducted ablation studies to assess the effects of various factors on model performance, including the network depth of F-Net, training image size, training dataset size, and loss function design. Our method achieved superior performance than all comparative methods. On the COVID-19 dataset, our method achieved 95.4 % ± 0.6 % $95.4\%\pm 0.6\%$ , 95.3 % ± 0.9 % $95.3\%\pm 0.9\%$ , 97.7 % ± 0.4 % $97.7\%\pm 0.4\%$ , and 95.3 % ± 0.9 % $95.3\%\pm 0.9\%$ in terms of precision, sensitivity, specificity, and F 1 $F_1$ -score, respectively. It achieved 96.2 % ± 0.7 % $96.2\%\pm 0.7\%$ across all these metrics on the OPSCC dataset. The study to investigate the effects of two adversarial networks highlights the crucial role of D-Net in improving model performance. Ablation studies further provide an in-depth understanding of our methodology. CONCLUSION: Our adversarial-based classification framework leverages GAN-based adversarial networks and an iterative adversarial learning strategy to harness supplementary regularization during training. This design significantly enhances classification accuracy and mitigates overfitting issues in medical image datasets. Moreover, its modular design not only demonstrates flexibility but also indicates its potential applicability to various clinical contexts and medical imaging applications.

Poor Dental Health as a Risk Factor for Alveolar Ridge Malignancies.

OBJECTIVE: To determine the association between poor dental health and risk of oral cavity squamous cell cancer (OCSCC) at individual tumor subsites. STUDY DESIGN: Case-control and cross-sectional METHODS: A case-control study was performed using a population-based cohort in North Carolina (Carolina Head and Neck Cancer Epidemiology Study [CHANCE]). A secondary cross-sectional analysis was performed with an institutional cohort (WashU/Siteman). Cases were adults with primary OCSCC and an identifiable tumor subsite. In the CHANCE cohort, controls were adults without head and neck cancer. In the Washington University/Siteman cohort, patients with tongue cancer served as the comparator group. We used number of missing teeth (categorized 0-6, 7-24, 25-28) as a surrogate for poor dental health, which was self-reported in CHANCE and measured on a pretreatment computed tomography scan in the WashU/Siteman study. Adjusted odds ratios (aORs) for missing teeth were estimated for each tumor subsite using binomial logistic regression models. RESULTS: Near complete tooth loss (25-28 teeth) was associated with a 3.5-fold increased risk of alveolar ridge malignancy (aOR: 3.51; 95% confidence interval [CI]: 1.14-11.01, P = .03) in the CHANCE study. This association was confirmed in our cross-sectional analysis (WashU/Siteman study) where missing 25-28 teeth was associated with an increased risk of alveolar ridge compared to tongue cancer (aOR: 4.60; 95% CI: 1.97-11.10, P = .001). CONCLUSIONS: This study suggests an association between poor dental health and risk of alveolar ridge cancer independent of smoking, alcohol use, age, race, and sex. Future prospective and translational studies are needed to confirm this association and elucidate the mechanism of dental disease in alveolar ridge malignancies.

Trends in ototoxicity monitoring among cisplatin-treated patients with cancer.

PURPOSE: This study aims to characterize patterns in ototoxicity monitoring and identify potential barriers to audiologic follow-up. METHODS: We performed a single-institution retrospective cohort study on adult (≥ 18 years old) cancer patients treated with cisplatin from January 2014 to September 2021. Our primary outcomes were rates of baseline and post-treatment audiograms at the following time points: 3, 6, 12, and greater than 12 months. Time-to-event analyses were performed to describe additional insights to ototoxicity monitoring patterns. RESULTS: Nine hundred fifty-five patients with cancer were included for analysis. The most common primary cancer sites were head and neck (64%), followed by cervical (24%). Three hundred seventy-three patients (39%) underwent baseline audiometric assessment, 38 patients (4%) received audiologic evaluation during chemotherapy, and 346 patients (36%) obtained at least one post-treatment audiogram. Audiologic follow-up was greatest within 3 months of completing chemotherapy (26%), but this tapered dramatically to less than 10% at every other post-treatment time point. Patients with head and neck cancer achieved higher rates of audiologic follow-up at every time point than patients with non-head and neck cancer except for during treatment. CONCLUSIONS: Ototoxicity monitoring is an inconsistent practice, particularly during chemotherapy and for long-term surveillance of hearing loss. Patients with non-head and neck cancer may be at increased risk for loss of audiologic follow-up. IMPLICATIONS FOR CANCER SURVIVORS: Cisplatin ototoxicity is a common occurrence that can be effectively managed with auditory rehabilitation. Therefore, referrals to audiology and counseling on treatment-related ototoxicity are recommended throughout chemotherapy and cancer survivorship.

A novel RT-PCR method for quantification of human papillomavirus transcripts in archived tissues and its application in oropharyngeal cancer prognosis.

Oropharyngeal squamous cell carcinoma (SCC) is strongly associated with human papillomavirus (HPV) infection, which is distinctively different from most other head and neck cancers. However, a robust quantitative reverse transcription PCR (RT-qPCR) method for comprehensive expression profiling of HPV genes in routinely fixed tissues has not been reported. To address this issue, we have established a new real-time RT-PCR method for the expression profiling of the E6 and E7 oncogenes from 13 high-risk HPV types. This method was validated in cervical cancer and by comparison with another HPV RNA detection method (in situ hybridization) in oropharyngeal tumors. In addition, the expression profiles of selected HPV-related human genes were also analyzed. HPV E6 and E7 expression profiles were then analyzed in 150 archived oropharyngeal SCC samples and compared with other variables and with patient outcomes. Our study showed that RT-qPCR and RNA in situ hybridization were 100% concordant in determining HPV status. HPV transcriptional activity was found in most oropharyngeal SCC (81.3%), a prevalence that is higher than in previous studies. Besides HPV16, three other HPV types were also detected, including 33, 35 and 18. Furthermore, HPV and p16 had essentially identical expression signatures, and both HPV and p16 were prognostic biomarkers for the prediction of disease outcome. Thus, p16 mRNA or protein expression signature is a sensitive and specific surrogate marker for HPV transcriptional activity (all genotypes combined).