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.

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.

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.

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.

Warthin's Tumour as a Parotid Gland Incidentaloma Identified by PET-CT Scan in a Large Series of Cases.

Occasionally in imaging scans there are findings unrelated to the pathology for which the scan was indicated, findings that are called incidentalomas. Warthin tumors have a high glucose avidity, being one of the common incidentalomas in PET-CT scans. The aim of the present study is to analyze the frequency of occurrence of Warthin's tumor as an incidental finding in a large series of patients undergoing 18F-FDG PET-CT. Retrospective analysis of 18F-FDG PET-CT scans performed in our center during the period 2010-2021. Parotid hypermetabolic lesions were identified, as well as their SUVmax, size, smoking habit, BMI (body mass index), and otorhinolaryngology follow-up. 31,423 PET-CT-18FDG studies corresponding to 12,806 patients were analyzed. The frequency of incidentalomas at the parotid level with a diagnosis compatible with Warthin's tumor was 0.87% (n = 111). Eighty percent of the patients with incidentalomas accordant to Warthin's tumor had a history of tobacco use. The highest percentage of incidentalomas compatible with a Warthin tumor was found in patients in whom the indication for PET-CT was the study of a lung carcinoma (1.44%). Only 37% of patients with a PET-CT lesion compatible with a Warthin's tumor were referred for evaluation by the Otorhinolaryngology service. The incidence of Warthin's tumor in 18-FDG PET-CT scans in our center was 0.87%.

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/ .

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.

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.

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.

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.