Predictive capacity for local disease control of neogenin-1 (NEO1) transcriptional expression in patients with head and neck squamous cell carcinoma.

PURPOSE: To analyze the predictive capacity for local disease control of the transcriptional expression of neogenin-1 (NEO1) gene in patients with head and neck squamous cell carcinoma (HNSCC). METHODS/PATIENTS: A retrospective study was performed on tumor biopsies from 107 patients with HNSCC treated surgically. The transcriptional expression of NEO1 was determined by RT-PCR. NEO1 transcriptional expression value was categorized according to local disease control by recursive partitioning analysis. RESULTS: Lower NEO1 transcriptional expression was associated with worse local control after surgical treatment. Patients with lower NEO1 expression (n = 25, 23.4%) had a 5-year local recurrence-free survival of 61.8% (95% CI: 42.1-81.5%), while patients with higher NEO1 expression (n = 82, 76.6%) had a 5-year local recurrence-free survival of 85.6% (95% CI: 77.6-93.6%), (P = 0.003). According to the result of multivariable analysis, patients with lower NEO1 expression had a 2.7-fold increased risk of local tumor recurrence (95% CI: 1.0-7.0, P = 0.043) compared to patients with higher NEO1 expression. CONCLUSIONS: HNSCC patients with a lower transcriptional expression of NEO1 have a significantly higher risk of local recurrence after surgical treatment.

LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features.

Despite the revolutionary impact of immune checkpoint blockade (ICB) in cancer treatment, accurately predicting patient responses remains challenging. Here, we analyzed a large dataset of 2,881 ICB-treated and 841 non-ICB-treated patients across 18 solid tumor types, encompassing a wide range of clinical, pathologic and genomic features. We developed a clinical score called LORIS (logistic regression-based immunotherapy-response score) using a six-feature logistic regression model. LORIS outperforms previous signatures in predicting ICB response and identifying responsive patients even with low tumor mutational burden or programmed cell death 1 ligand 1 expression. LORIS consistently predicts patient objective response and short-term and long-term survival across most cancer types. Moreover, LORIS showcases a near-monotonic relationship with ICB response probability and patient survival, enabling precise patient stratification. As an accurate, interpretable method using a few readily measurable features, LORIS may help improve clinical decision-making in precision medicine to maximize patient benefit. LORIS is available as an online tool at https://loris.ccr.cancer.gov/ .

Skull base surgery for malignant tumors: The 2nd international collaborative study (1995-2015).

BACKGROUND: The current study presents the effort of a global collaborative group to review the management and outcomes of malignant tumors of the skull base worldwide. PATIENTS AND METHODS: A total of 28 institutions contributed data on 3061 patients. Analysis evaluated clinical variables, survival outcomes, and multivariable factors associated with outcomes. RESULTS: The median age was 56 years (IQR 44-67). The open surgical approach was used in 55% (n = 1680) of cases, endoscopic resection was performed in 36% (n = 1087), and the combined approach in 9.6% (n = 294). With a median follow-up of 7.1 years, the 5-year OS DSS and RFS were 65%, 71.7% and 53%, respectively. On multivariable analysis, older age, comorbidities, histology, dural/intracranial involvement, positive margins, advanced stage, and primary site were independent prognostic factors for OS, DSS, and RFS. Adjuvant RT was a protective prognostic factor. CONCLUSION: The progress across various disciplines may have contributed to improved OS and DSS in this study compared to previous reports.

Trends in hospitalisation for urinary tract infection in adults aged 18-65 by sex in Spain: 2000 to 2015.

OBJECTIVE: To analyse trends in urinary tract infection (UTIs) hospitalisation among patients adults 18-65 aged in Spain from 2000-2015. METHODS: Retrospective observational study using the Spanish Hospitalisation Minimum Data Set (CMBD), with codifications by the International Classification of Diseases (ICD-9). Variables: Type of UTIs (pyelonephritis, prostatitis, cystitis and non-specific-UTIs), sex, age (in 5 categories: 18-49 and 50-64 years in men, and 18-44, 45-55 and 56-64 years in women), comorbidity, length of stay, costs and mortality associated with admission. The incidence of hospitalisation was studied according to sex, age group and type of UTIs per 100,000. Trends were identified using Joinpoint regression. RESULTS: From 2000-2015, we found 259,804 hospitalisations for UTIs (51.6% pyelonephritis, 7.5% prostatitis, 0.6% cystitis and 40.3% non-specific UTIs). Pyelonephritis predominated in women and non-specific UTIs in men. The hospital stay and the average cost (2,160 EUR (IQR 1,7872,540 were greater in men. Overall mortality (0.4%) was greater in non-specific UTIs. More women were admitted (rates of 79.4 to 81.7) than in men (30.2 to 41). The greatest increase was found in men aged 50-64 years (from 59.3 to 87). In the Joinpoint analysis, the incidence of pyelonephritis increased in women [AAPC 2.5(CI 95% 1.6;3.4)], and non-specific UTIs decreased [AAPC -2.2(CI 95% -3.3;-1.2)]. Pyelonephritis decreased in men [AAPC -0.5 (CI 95% -1.5;0.5)] and non-specific UTIs increased [AAPC 2.3 (CI 95% 1.9;2.6)] and prostatitis increased [AAPC 2.6 (CI 95% 1.4;3.7)]. CONCLUSIONS: The urinary infection-related hospitalisation rate in adults in Spain increased during the period 2000-2015. Pyelonephritis predominated in women and non-specific UTIs in men. The highest hospitalisation rates occurred in the women but the greatest increase was found in men aged 65-74. The lenght of stay and cost were higher in men.

Capacidad pronóstica del PIV (pan-immune-inflammation value) en pacientes con carcinoma escamoso de cabeza y cuello / Prognostic capacity of PIV (pan-immune-inflammation value) in patients with head and neck squamous cell carcinoma

Introducción: El PIV (pan-immune-inflammation value), un índice que resulta del cociente (neutrófilos×monocitos×plaquetas) / linfocitos, ha sido propuesto como un biomarcador con capacidad pronóstica en diferentes modelos tumorales. El objetivo del presente estudio es analizar la capacidad pronóstica del PIV en pacientes con carcinoma escamoso de cabeza y cuello. Pacientes y métodos: Estudio retrospectivo de 1.187 pacientes con carcinoma escamoso de cabeza y cuello tratados en nuestro centro durante el periodo 2000-2017. Se obtuvo el valor del PIV a partir de un análisis realizado en un intervalo inferior a las 3 semanas previas al inicio del tratamiento. Resultados: El valor del PIV se relacionó de forma significativa con el consumo de tóxicos (p=0,001), la localización del tumor (0,0001), la extensión tumoral (0,0001), y el grado histológico (0,016). Mediante un análisis de partición recursiva se definieron 4 categorías en función del valor del PIV: categoría i: PIV<136,3 (n=118; 9,9%), categoría ii: PIV 136,3-451,1 (n=594, 50,0%); categoría iii: PIV 451,1-1.141,2 (n=357; 30,1%); categoría iv: PIV>1.141,2 (n=118; 9,9%). Se pudo observar una reducción ordenada y significativa de la supervivencia específica a medida que se incrementaba la categoría en el valor del PIV. Esta disminución en la supervivencia se produjo de forma independiente al tipo de tratamiento, la extensión del tumor, o la localización del tumor primario. La categoría en el valor del PIV se relacionó de forma significativa con la supervivencia específica en un estudio multivariable. Conclusiones: El PIV es un biomarcador con capacidad pronóstica en los pacientes con carcinoma escamoso de cabeza y cuello.(AU)

Introduction: The pan-immune-inflammation value (PIV), an index that results from the following ratio: (neutrophils×monocytes×platelets) / lymphocytes, has been proposed as a prognostic biomarker in different tumor models. The aim of this study is to analyze the prognostic capacity of PIV in patients with head and neck squamous cell carcinoma. Patients and methods: Retrospective study of 1,187 patients with head and neck squamous cell carcinoma treated at our center between 2000-2017. PIV value was obtained from an analysis performed within 3 weeks prior to the start of treatment. Results: PIV value was significantly associated with toxic consumption (0.001), tumor location (0.0001), tumor extension (0.0001), and histological grade (0.016). Four categories were defined based on PIV value using a recursive partitioning analysis: category i: PIV<136.3 (n=118, 9.9%), category ii: PIV 136.3-451.1 (n=594, 50.0%), category iii: PIV 451.1-1,141.2 (n=357, 30.1%), and category iv: PIV>1,141.2 (n=118, 9.9%). A significant and ordered decrease in disease-specific survival was observed as the PIV category increased. This decrease in survival was independent of the type of treatment, tumor extension, or location of the primary tumor. The PIV category was an independent prognostic factor of disease-specific survival in a multivariable study. Conclusions: PIV is a prognostic biomarker in patients with head and neck squamous cell carcinoma.(AU)

A Prospective Double-Blinded Comparison of Reflectance Confocal Microscopy with Conventional Histopathology for In Vivo Assessment in Oral Cancer.

PURPOSE: We investigated reflectance confocal microscopy (RCM) as a possible noninvasive approach for the diagnosis of cancer and real-time assessment of surgical margins. EXPERIMENTAL DESIGN: In a phase I study on 20 patients, we established the RCM imaging morphologic features that distinguish oral squamous cell carcinoma (OSCC) from normal tissue with a newly developed intraoral RCM probe. Our subsequent phase II prospective double-blinded study in 60 patients tested the diagnostic accuracy of RCM against histopathology. Five RCM videos from the tumor and five from normal surrounding mucosa were collected on each patient, followed by a 3-mm punch biopsy of the imaged area. An experienced RCM reader, who was blinded to biopsy location and histologic diagnosis, examined the videos from both regions and classified each as "tumor" or "not tumor" based on RCM features established in phase I. Hematoxylin and eosin slides from the biopsies were read by a pathologist who was blinded to RCM results. Using histology as the gold standard, we calculated the sensitivity and specificity of RCM. RESULTS: We report a high agreement between the blinded readers (95% for normal tissue and 81.7% for tumors), high specificity (98.3%) and negative predictive values (96.6%) for normal tissue identification, and high sensitivity (90%) and positive predictive values (88.2%) for tumor detection. CONCLUSIONS: RCM imaging is a promising technology for noninvasive in vivo diagnosis of OSCC and for real-time intraoperative evaluation of mucosal surgical margins. Its inherent constraint, however, stems from the diminished capability to evaluate structures located at more substantial depths within the tissue.

Prognostic capacity of PIV (pan-immune-inflammation value) in patients with head and neck squamous cell carcinoma.

INTRODUCTION: The pan-immune-inflammation value (PIV), an index that results from the following ratio: (neutrophils × monocytes × platelets)/lymphocytes, has been proposed as a prognostic biomarker in different tumour models. The aim of this study is to analyse the prognostic capacity of PIV in patients with head and neck squamous cell carcinoma (HNSCC). PATIENTS AND METHODS: Retrospective study of 1187 patients with HNSCC treated at our centre between 2000-2017. PIV value was obtained from an analysis performed within 3 weeks prior to the start of treatment. RESULTS: PIV value was significantly associated with toxic consumption (0.001), tumour location (0.0001), tumour extension (0.0001), and histological grade (0.016). Four categories were defined based on PIV value using a recursive partitioning analysis: category I: PIV < 136.3 (n = 118, 9.9%), category II: PIV 136.3-451.1 (n = 594, 50.0%), category III: PIV 451.1-1,141.2 (n = 357, 30.1%), and category IV: PIV > 1141.2 (n = 118, 9.9%). A significant and ordered decrease in disease-specific survival was observed as the PIV category increased. This decrease in survival was independent of the type of treatment, tumour extension, or location of the primary tumour. The PIV category was and independent prognostic factor of disease-specific survival in a multivariable study. CONCLUSIONS: PIV is a prognostic biomarker in patients with HNSCC.

Results of surgical treatment of lymph node metastases in patients with cutaneous squamous cell carcinoma of the head and neck.

INTRODUCTION: Out of all cutaneous squamous cell carcinomas originating in the head and neck (HNCSCC), 2-4% are associated with parotid or cervical lymph node metastasis. The aim of this study is to analyse the prognostic factors of patients with HNCSCC with lymph node involvement treated surgically. Additionally, we aim to compare the prognostic capacity of the classification of these patients according to the 8th edition of the TNM, and an alternative classification proposed by O'Brien et al. PATIENTS AND METHODS: Retrospective review of 65 patients with HNCSCC with lymph node metastasis treated surgically during the period 2000-2020. RESULTS: During the study period we carried out 13 neck dissections and 52 parotidectomies + neck dissection in patients with lymph node metastases from a HNCSCC. The great majority of patients (89.2%) received post-operative radiotherapy. The 5 year disease-specific survival was 69.9%, and the overall survival it was 42.8%. The classification proposed by O'Brien et al., based on the parotid or cervical location of the lymph node metastases, and the size and number of the metastatic lymph nodes, had a better prognostic capacity than the TNM classification. CONCLUSIONS: The surgical treatment of lymph node metastases in patients with HNCSCC achieved a high disease control. The classification based on the location, size and number of lymph node metastases proposed by O'Brien et al had better prognostic capacity than the TNM classification.

External validation of the GETTEC algorithm for elective neck dissection in patients candidates for salvage total laryngectomy.

OBJECTIVE: To perform an external validation of the algorithm for elective treatment of the lymph node areas proposed by GETTEC for patients candidates to salvage total laryngectomy after radiotherapy. This algorithm is based on the initial lymph node status, local extension of the recurrence and time to recurrence. MATERIAL AND METHODS: Retrospective study performed in 151 patients treated with salvage total laryngectomy without clinical or radiological evidence of regional involvement at the time of diagnosis of recurrence (rcN0). The percentage of patients with occult lymph node metastases was calculated according to the algorithm proposed by GETTEC. RESULTS: A total of 14.6 % (n = 22) of the patients had occult lymph node metastases. Patients with locally advanced recurrences (rcT4) had a higher risk of occult lymph node metastases. There were no significant differences in the risk of occult lymph node metastases according to initial lymph node status or time to recurrence. When applying the algorithm proposed by GETTEC, there were no significant differences in the percentage of occult lymph node metastases between the group of patients who were candidates for follow-up (14.4 %) and those candidates for elective neck dissection (14.9 %) (P = 0.940). According to our results, patients who were candidates for an elective neck dissection were those with tumors located in the supraglottis or rcT4 glottic tumors. CONCLUSION: Our results do not validate the algorithm proposed by GETTEC for the management of the lymph nodes in rcN0 patients who are candidates for salvage total laryngectomy after radiotherapy.

Development and validation of a novel TNM staging N-classification of oral cavity squamous cell carcinoma.

BACKGROUND: For oral cavity squamous cell carcinoma (OSCC), extent of extranodal extension (ENE) (minor, ≤2 mm; major, >2 mm) is differentially prognostic, whereas limitations exist with the 8th edition of American Joint Committee on Cancer/International Union Against Cancer TNM N-classification (TNM-8-N). METHODS: Resected OSCC patients at four centers were included and extent of ENE was recorded. Thresholds for optimal overall survival (OS) discrimination of lymph node (LN) features were established. After dividing into training and validation sets, two new N-classifications were created using 1) recursive partitioning analysis (RPA), and 2) adjusted hazard ratios (aHRs) and were ranked against TNM-8-N and two published proposals. RESULTS: A total of 1460 patients were included (pN0: 696; pN+: 764). Of the pN+ cases, 135 (18%) had bilateral/contralateral LNs; 126 (17%) and 244 (32%) had minor and major ENE, and two (0.3%) had LN(s) >6 cm without ENE (N3a). LN number (1 and >1 vs. 0: aHRs, 1.92 [95% confidence interval (CI), 1.44-2.55] and 3.21 [95% CI, 2.44-4.22]), size (>3 vs. ≤3 cm: aHR, 1.88 [95% CI, 1.44-2.45]), and ENE extent (major vs. minor: aHR, 1.40 [95% CI, 1.05-1.87]) were associated with OS, whereas presence of contralateral LNs was not (aHR, 1.05 [95% CI, 0.81-1.36]). The aHR proposal provided optimal performance with these changes to TNM-8-N: 1) stratification of ENE extent, 2) elimination of N2c and 6-cm threshold, and 3) stratification of N2b by 3 cm threshold. CONCLUSION: A new N-classification improved staging performance compared to TNM-8-N, by stratifying by ENE extent, eliminating the old N2c category and the 6 cm threshold, and by stratifying multiple nodes by size.

Host-related indexes in head and neck cancer.

PURPOSE OF REVIEW: Peripheral blood host-related indexes have been widely studied in cancer patients. Several authors have shown the prognostic capacity of these indexes in head and neck cancer. Therefore, there has been an increasing interest in this topic recently. RECENT FINDINGS: The main variables analyzed and used to create these host-related indexes are peripheral blood leukocytes - including neutrophils, monocytes and lymphocytes - albumin and hemoglobin levels. Other factors with proven prognostic capacity in some studies are: platelets, C-reactive protein, and BMI. Among all the combined indexes, the neutrophil-to-lymphocyte ratio has been the most accepted and used worldwide. Nonetheless, there are other indexes which group multiple of these factors that have shown better prognostic capacity, and are promising in the near future. SUMMARY: Host-related indexes are ideal biomarkers to be used on our daily-basis. There is enough evidence to start considering them when assessing patients with head and neck cancer.

Capacidad predictiva de la expresión transcripcional de FAT1 en pacientes con carcinomas escamosos de cabeza y cuello tratados con radioterapia / Predictive capacity of FAT1 transcriptional expression in patients with head and neck squamous cell carcinomas treated with radiotherapy

Objetivo Analizar la capacidad predictiva de la respuesta a nivel local de la expresión transcripcional de FAT1 en pacientes con carcinomas escamosos de cabeza y cuello tratados con radioterapia.Material y métodosLlevamos a cabo un estudio retrospectivo realizado a partir de biopsias de la localización primaria del tumor en 82 pacientes con carcinomas escamosos de cabeza y cuello tratados con radioterapia. Se determinó la expresión transcripcional de FAT1 mediante RT-PCR. Se categorizó el nivel de expresión transcripcional de FAT1 en función del control local tras el tratamiento con radioterapia mediante un análisis de partición recursiva.ResultadosLa expresión transcripcional elevada de FAT1 se relacionó con un incremento en el riesgo de recidiva local tras el tratamiento con radioterapia. Los pacientes con unos niveles de expresión elevada de FAT1 (n=18; 22,0%) tuvieron una supervivencia libre de recidiva local a los 5 años del 42,1% (IC 95%: 18,6-65,6%), en tanto que para los pacientes con una expresión baja (n=64; 78,0%) fue del 72,4% (IC 95%: 61,5-83,3%) (p=0,002). De acuerdo con el resultado de un análisis multivariante, los pacientes con una categoría de expresión elevada de FAT1 tuvieron un riesgo 2,3 veces superior de recidiva local (IC 95%: 1,0-5,2; p=0,043).ConclusionesLa expresión transcripcional elevada de FAT1 se relacionó con un incremento significativo del riesgo de recidiva local en los pacientes con carcinomas escamosos de cabeza y cuello tratados con radioterapia. (AU)

Objective To analyze the predictive capacity at the primary location of the tumor of the FAT1 transcriptional expression in patients with head and neck squamous cell carcinoma treated with radiotherapy.Material and methodsWe conducted a retrospective study from biopsies of the primary location of the tumor in 82 patients with head and neck squamous cell carcinoma treated with radiotherapy. The transcriptional expression of FAT1 was determined by RT-PCR. The level of FAT1 transcriptional expression was categorized according to the local control after radiotherapy using a recursive partitioning analysis.ResultsElevated FAT1 transcriptional expression was associated with an increased risk of local recurrence after radiotherapy. Patients with a high expression level of FAT1 (n=18; 22.0%) had a 5-year local recurrence-free survival of 42.1% (95% CI: 18.6–65.6%), whereas for patients with a low expression (n=64; 78.0%) it was 72.4% (95% CI: 61.5%–83.3%) (P=0.002). According to the result of a multivariate analysis, patients with a high FAT1 expression category had a 2.3-fold increased risk of local recurrence (95% CI: 1.0–5.2; P=0.043).ConclusionsElevated FAT1 transcriptional expression was associated with a significantly increased risk of local recurrence in patients with head and neck squamous cell carcinoma treated with radiotherapy. (AU)

Predictive capacity of FAT1 transcriptional expression in patients with head and neck squamous cell carcinomas treated with radiotherapy.

OBJECTIVE: To analyze the predictive capacity at the primary location of the tumor of the FAT1 transcriptional expression in patients with head and neck squamous cell carcinoma treated with radiotherapy. MATERIAL AND METHODS: We conducted a retrospective study from biopsies of the primary location of the tumor in 82 patients with head and neck squamous cell carcinoma treated with radiotherapy. The transcriptional expression of FAT1 was determined by RT-PCR. The level of FAT1 transcriptional expression was categorized according to the local control after radiotherapy using a recursive partitioning analysis. RESULTS: Elevated FAT1 transcriptional expression was associated with an increased risk of local recurrence after radiotherapy. Patients with a high expression level of FAT1 (n=18; 22.0%) had a 5-year local recurrence-free survival of 42.1% (95% CI: 18.6%-65.6%), whereas for patients with a low expression (n=64; 78.0%) it was 72.4% (95% CI: 61.5%-83.3%) (p=0.002). According to the result of a multivariate analysis, patients with a high FAT1 expression category had a 2.3-fold increased risk of local recurrence (95% CI: 1.0-5.2; p=0.043). CONCLUSIONS: Elevated FAT1 transcriptional expression was associated with a significantly increased risk of local recurrence in patients with head and neck squamous cell carcinoma treated with radiotherapy.

Clinical-genomic determinants of immune checkpoint blockade response in head and neck squamous cell carcinoma.

BACKGROUNDRecurrent and/or metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) is generally an incurable disease, with patients experiencing median survival of under 10 months and significant morbidity. While immune checkpoint blockade (ICB) drugs are effective in approximately 20% of patients, the remaining experience limited clinical benefit and are exposed to potential adverse effects and financial costs. Clinically approved biomarkers, such as tumor mutational burden (TMB), have a modest predictive value in HNSCC.METHODSWe analyzed clinical and genomic features, generated using whole-exome sequencing, in 133 ICB-treated patients with R/M HNSCC, of whom 69 had virus-associated and 64 had non-virus-associated tumors.RESULTSHierarchical clustering of genomic data revealed 6 molecular subtypes characterized by a wide range of objective response rates and survival after ICB therapy. The prognostic importance of these 6 subtypes was validated in an external cohort. A random forest-based predictive model, using several clinical and genomic features, predicted progression-free survival (PFS), overall survival (OS), and response with greater accuracy than did a model based on TMB alone. Recursive partitioning analysis identified 3 features (systemic inflammatory response index, TMB, and smoking signature) that classified patients into risk groups with accurate discrimination of PFS and OS.CONCLUSIONThese findings shed light on the immunogenomic characteristics of HNSCC tumors that drive differential responses to ICB and identify a clinical-genomic classifier that outperformed the current clinically approved biomarker of TMB. This validated predictive tool may help with clinical risk stratification in patients with R/M HNSCC for whom ICB is being considered.FUNDINGFundación Alfonso Martín Escudero, NIH R01 DE027738, US Department of Defense CA210784, The Geoffrey Beene Cancer Research Center, The MSKCC Population Science Research Program, the Jayme Flowers Fund, the Sebastian Nativo Fund, and the NIH/NCI Cancer Center Support Grant P30 CA008748.

Neutrophil to Lymphocyte Ratio in Oropharyngeal Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.

Neutrophil-to-lymphocyte ratio (NLR) has been associated with survival in various cancers, including head and neck cancer. However, there is limited information on its role in oropharyngeal squamous cell carcinomas (OPSCC) according to HPV status. This prompted the present meta-analysis. Studies were selected when the prognostic value of NLR prior to treatment was evaluated in OPSCC patients, the cutoff value of NLR was available, and the prognostic value of NLR was evaluated by time-to-event survival analysis. A total of 14 out of 492 articles, including 7647 patients, were analyzed. The results showed a worse prognosis for the patients with a high NLR: The combined hazard ratios (HR) for overall survival (OS) in patients with an elevated NLR was 1.56 (95% confidence interval (CI) 1.21-2.02; p = 0.0006), for disease-free survival was 1.52 (95% CI 1.34-1.73; p < 0.00001), and for recurrence-free survival was 1.86 (95% CI 1.50-2.30; p < 0.00001). This worse prognosis of high NLR was exclusive of HPV-positive patients: HR for OS in the HPV-positive subgroup was 4.05 (95% CI 1.90-8.62 (p = 0.0003), and in the HPV-negative subgroup 0.92 (95% CI 0.47-1.80; p = 0.82). The prognosis of NLR was not influenced by treatment: The HR for OS for patients treated with radiotherapy/chemoradiotherapy (RT/CRT) was 1.48 (95% CI 1.09-2.01; p = 0.01), and for patients treated with surgery (±RT/CRT) was 1.72 (95% CI 1.08-2.72; p = 0.02). In conclusion, an elevated NLR relates to worse outcomes in patients with HPV-positive OPSCC.

External validation of the H-index (host index) in patients with head and neck squamous cell carcinomas.

BACKGROUND: The aim of the current study is to perform an external validation of the prognostic capacity of the H-index in patients with head and neck squamous cell carcinoma (HNSCC). METHODS: Retrospective study of 835 patients with HNSCC located in the oral cavity, oropharynx, hypopharynx, or larynx. RESULTS: When applying the cutoffs proposed in the original description of the H-index (1.5 and 3.5), we observed an orderly and significant decrease in the disease-specific survival and overall survival as H-index increased. Additionally, we were able to observe a decrease in survival as the H-index increased regardless of the location, the extension of the tumor or the type of treatment performed. CONCLUSION: We have validated the prognostic capacity of the H-index in patients with HNSCC regardless of the location of the primary tumor, the extent of the disease, or the type of treatment performed.

Surgical management of T1/T2 node-negative papillary thyroid cancer with tall cell histology: Is lobectomy enough?

BACKGROUND: The tall cell variant of papillary thyroid carcinoma has traditionally been treated more aggressively than classic papillary thyroid carcinoma. However, this may not be justified in patients with T1/T2 tall cell variant node-negative tumors. METHODS: We evaluated well-differentiated thyroid cancers treated surgically between 1985 and 2015 at our institution. We compared patients undergoing lobectomy for node-negative T1/T2 tall cell variant tumors with the same cohort with classic papillary thyroid carcinoma. Patients who underwent early planned completion thyroidectomy were excluded. Tall cell variant tumors were defined as those with ≥30% tall cells. Survival and recurrence outcomes were determined by the Kaplan-Meier method and groups compared using the log-rank test. RESULTS: Thyroid lobectomy was performed for T1/T2 N0X disease in 70 (15%) tall cell cases and 429 (23%) classic papillary thyroid carcinoma cases. There was no significant difference in 10-year overall survival (P = .56) or locoregional recurrence-free probability (P = .52). Disease-specific survival and local or central nodal recurrence-free probability were 100% in both groups. In 9 papillary thyroid carcinoma cases, subsequent contralateral lobe tumors developed, and in 5, lateral neck metastases developed. No recurrences were seen in the tall cell group. CONCLUSION: T1 node-negative tumors with tall cell histology can be satisfactorily managed with thyroid lobectomy, with equivalent oncological outcomes to classic papillary thyroid carcinoma.

Validation of a Machine Learning Model to Predict Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.

Head and neck squamous-cell carcinoma (HNSCC) is a disease with a generally poor prognosis; half of treated patients eventually develop recurrent and/or metastatic (R/M) disease. Patients with R/M HNSCC generally have incurable disease with a median survival of 10 to 15 months. Although immune-checkpoint blockade (ICB) has improved outcomes in patients with R/M HNSCC, identifying patients who are likely to benefit from ICB remains a challenge. Biomarkers in current clinical use include tumor mutational burden and immunohistochemistry for programmed death-ligand 1, both of which have only modest predictive power. Machine learning (ML) has the potential to aid in clinical decision-making as an approach to estimate a tumor's likelihood of response or a patient's likelihood of experiencing clinical benefit from therapies such as ICB. Previously, we described a random forest ML model that had value in predicting ICB response using 11 or 16 clinical, laboratory, and genomic features in a pan-cancer development cohort. However, its applicability to certain cancer types, such as HNSCC, has been unknown, due to a lack of cancer-type-specific validation. Here, we present the first validation of a random forest ML tool to predict the likelihood of ICB response in patients with R/M HNSCC. The tool had adequate predictive power for tumor response (area under the receiver operating characteristic curve = 0.65) and was able to stratify patients by overall (HR = 0.53 [95% CI 0.29-0.99], p = 0.045) and progression-free (HR = 0.49 [95% CI 0.27-0.87], p = 0.016) survival. The overall accuracy was 0.72. Our study validates an ML predictor in HNSCC, demonstrating promising performance in a novel cohort of patients. Further studies are needed to validate the generalizability of this algorithm in larger patient samples from additional multi-institutional contexts.