Patterns of cervical lymph node metastasis in supraglottic laryngeal cancer and therapeutic implications of surgical staging of the neck

Oncological Feasibility of Limited Neck Dissection in cN0 Supraglottic Laryngeal Cancer

BACKGROUND

Supraglottic squamous cell carcinoma (SCC) is a significant portion of head and neck cancers, with the management of clinically negative necks (cN0) through selective neck dissection (SND) being debated due to potential morbidities and low metastasis rates in levels IIb and IV.

METHODS

This study is a retrospective, multicenter examination of the potential feasibility of limited neck dissection (LND), including only levels IIa and III in cN0 supraglottic SCC patients. It analyzed occult metastasis rates and explored relapse occurrences alongside potential predictors of lymph node metastasis.

RESULTS

Among 425 patients, predominantly male (85.6%) with a mean age of 63 years, the occult metastasis rate was 28.9%, and 13.7% experienced relapses during a mean follow-up of 52 months. Advanced clinical stage, higher grading, and other risk factors emerged as predictors of occult lymph node metastasis at level IIb.

CONCLUSIONS

The study supports LND potential feasibility for cN0 supraglottic SCC, suggesting level IIb dissection can be omitted in specific early-stage cases to reduce morbidity without affecting outcomes.

Lymph Node Yield/Ratio, Neutrophil-Lymphocyte Ratio: Prognostic Factors in cN0 Laryngeal Carcinoma

OBJECTIVES

The aim of this study was to investigate the role of lymph node yield (LNY), lymph node ratio (LNR), and neutrophil to lymphocyte ratio (NLR) as prognostic factors, their impact on survival in patients with advanced laryngeal squamous cell carcinoma (LSCC).

METHODS

This multicentric retrospective study included 195 patients with clinical N0 advanced laryngeal carcinoma who underwent total laryngectomy and/or total pharyngolaryngectomy over 5 years. The number of lymph nodes extracted (LNY) and the number of positive nodes were counted. The lymph node ratio "LNR" was calculated as follows: (positive nodes /LNY). Moreover, neutrophil to lymphocyte ratio (NLR) was calculated and documented for analysis.

RESULTS

The mean 5-years DFS and overall survival (OS) was 33 and 35 months. The following were statistically significant factors negatively associated with overall survival; LNR (p = 0.047), NLR > 7 (p = 0.05), preoperative tracheostomy (p = 0.016), infiltrated safety margin (p = 0.01), postoperative radiotherapy (p < 0.001), N stage (p = 0.019), and unilateral neck dissection (p = 0.03). On the other hand, DFS was negatively associated with LNR (p = 0.001), N stage (p = 0.001), and infiltration of the surgical margins (p = 0.001).

CONCLUSION

LNY and LNR are both linked to survival outcomes following neck dissection in patients with clinical N0, locally advanced laryngeal carcinoma, where higher LNY and lower LNR correlated with improved survival and could be easily incorporated into cancer staging systems to aid in the prognostic stratification of patients. Additionally, NLR could act as a cost-effective inflammatory biomarker predicting poor prognosis in LSCC.

LEVEL OF EVIDENCE

3 Laryngoscope, 135:2037-2043, 2025.

Machine learning in personalized laryngeal cancer management: insights into clinical characteristics, therapeutic options, and survival predictions

PURPOSE

Over the last 40 years, there has been an unusual trend where, even though there are more varied treatments, survival rates have not improved much. Our study used survival analysis and machine learning (ML) to investigate this odd situation and to improve prediction methods for treating non-metastatic LSCC.

METHODS

The surveillance, epidemiology and end results (SEER) database provided the data used for this study's analysis. To identify the prognostic variables for patients with non-metastatic LSCC, we conducted Cox regression analysis and constructed prognostic models using five ML algorithms to predict 5-year survival. A method of validation that incorporated the area under the curve (AUC) of the receiver operating characteristic (ROC) curve was employed to validate the accuracy and reliability of the ML models. We also investigated the role of multiple therapeutic options using Kaplan Meier (K-M) survival analysis.

RESULTS

The study included 63,324 patients, of whom 40,824 were diagnosed with glottic cancer (GC), 21,774 with supraglottic (SuGC) and 726 with subglottic (SC). ML models identified age, stage, and tumor size as the most important factors that affect survival. For SuGC, age, stage, and sex and stage and race for SC. In terms of treatment, best survival therapeutic options for GC and SC were surgery and radiotherapy (RT), whereas SuGC surgery only.

CONCLUSION

This study underscores the critical role of individualized factors in non-metastatic LSCC management, with surgery often combined with radiotherapy as the optimal treatment for early stage tumors. Despite advancements, stable prognosis highlights the need for continuous refinement of therapeutic strategies to balance tumor control and quality of life.

Development and validation of a machine learning model to predict the risk of lymph node metastasis in early-stage supraglottic laryngeal cancer

Background

Cervical lymph node metastasis (LNM) is a significant factor that leads to a poor prognosis in laryngeal cancer. Early-stage supraglottic laryngeal cancer (SGLC) is prone to LNM. However, research on risk factors for predicting cervical LNM in early-stage SGLC is limited. This study seeks to create and validate a predictive model through the application of machine learning (ML) algorithms.

Methods

The training set and internal validation set data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Data from 78 early-stage SGLC patients were collected from Fujian Provincial Hospital for independent external validation. We identified four variables associated with cervical LNM and developed six ML models based on these variables to predict LNM in early-stage SGLC patients.

Results

In the two cohorts, 167 (47.44%) and 26 (33.33%) patients experienced LNM, respectively. Age, T stage, grade, and tumor size were identified as independent predictors of LNM. All six ML models performed well, and in both internal and independent external validations, the eXtreme Gradient Boosting (XGB) model outperformed the other models, with AUC values of 0.87 and 0.80, respectively. The decision curve analysis demonstrated that the ML models have excellent clinical applicability.

Conclusions

Our study indicates that combining ML algorithms with clinical data can effectively predict LNM in patients diagnosed with early-stage SGLC. This is the first study to apply ML models in predicting LNM in early-stage SGLC patients.

Transoral laser microsurgery for supraglottic carcinomas: results of a prospective multicenter trial (SUPRATOL)

Background

A limited number of single institutions have published retrospective cohort studies on transoral laser microsurgery for supraglottic laryngectomy (TLM-SGL). These studies have shown that the oncologic outcomes of TLM-SGL are comparable to those of open SGL. However, there is limited information available regarding swallowing rehabilitation and quality of life (QoL).

Patients and methods

SUPRATOL is a prospective, multicenter trial assessing the functional outcomes of TLM-SGL +/- adjuvant radio-(chemo)-therapy. The primary endpoint was aspiration-free swallowing at 12 months, as established using fibreoptic endoscopic evaluation of swallowing (FEES) and defined as a grade < 6 on the penetration-aspiration scale. Secondary endpoints were swallowing- and voice-related QoL, the prevalence of temporary and permanent tracheostomy and percutaneous gastrostomy, local control, laryngectomy-free survival, overall survival, and disease-free survival, as well as the influence of treatment centers on outcomes.

Results

From April 2015 to February 2018, 102 patients were recruited from 26 German Otorhinolaryngology (ORL) hospitals. All patients had TLM-SGL and 96.1% underwent uni- or bilateral, mostly selective neck dissection. To 47.0% of patients, adjuvant radio-(chemo)-therapy (R(C)T) was administered. The median follow-up period was 24.1 months. At 12-month follow-up, completed by 84.3% of patients, 98.2%, 95.5%, and 98.8% were free of aspiration when tested with saliva, liquid, or pulp. Adjuvant R(C)T, pT category, and type of resection had no significant influence on swallowing rehabilitation. A total of 40.2% of patients had been tracheotomized, and in 46.1% of patients, a PEG tube was inserted. At the 24-month follow-up, 5.3% of patients still required a tracheostomy, and 8.0% continued to use a percutaneous endoscopic gastrostomy (PEG) tube. Deterioration of swallowing- and voice-related QoL was observed immediately after treatment, but patients recovered, and baseline values were reached again. The Kaplan-Meier 2-year rates for local control, laryngectomy-free survival, overall survival, and disease-free survival were 88%, 92%, 93%, and 82%, respectively.

Conclusions

Our prospective multicenter trial shows that, at 12 months post-TLM-SGL +/- R(C)T, 95.5%-98.8% of patients achieved aspiration-free swallowing. Morbidity was higher than previously reported. The rates of permanent tracheostomy and gastrostomy tube placement correspond to previous cohort studies. The 2-year oncologic outcomes are within the reported range.

Clinical trial registration

https://drks.de/search/en/trial/DRKS00004641, identifier (DRKS00004641).

Outcomes of Supracricoid Partial Laryngectomy Performed in the United States: A Systematic Review

OBJECTIVE

The primary objective of this study was to evaluate oncologic outcomes of all published cases of supracricoid partial laryngectomy (SCPL) performed in the United States. The secondary objective was to assess the functional outcomes associated with this procedure.

REVIEW METHODS

A systematic review of PubMed, SCOPUS, and Embase for all English-language studies pertaining to SCPL performed in the United States was conducted until August 2021. Primary outcomes included disease-specific survival (DSS), overall survival, and local recurrence rate. Secondary outcomes included larynx preservation rate, gastrostromy tube dependency, days to gastrostomy tube removal, decannulation rate, and days to decannulation.

RESULTS

A total of six studies were included in the analysis. A total of 113 patients (58.5%) underwent SCPL surgery as a primary treatment method whereas 80 patients (41.5%) underwent SCPL as salvage surgery. The 5-year DSS rates were 87.8% and 100% for primary and salvage procedures, respectively. Approximately 10.3% of patients undergoing a salvage SCPL procedure experienced a local recurrence whereas only 1.85% of primary SCPL procedures resulted in local recurrence. The rates of decannulation following primary and salvage SCPL were 92.7% and 88.1%, respectively. With regard to swallowing, primary and salvage SCPL procedures demonstrated comparably low postoperative gastrostomy tube dependency rates of 3.66% and 4.76%, respectively.

CONCLUSIONS

SCPL performed in the United States is an effective surgical technique that produces excellent outcomes in qualifying patients, thus validating its viability as an organ-preserving surgical alternative. Laryngoscope, 134:3003-3011, 2024.

Treatment discordance in the utilization of neck dissection for stage I-II supraglottic tumors

BACKGROUND

In 2018, the National Comprehensive Cancer Network treatment guidelines began recommending the use of neck dissection during surgical management of stage I-II supraglottic laryngeal squamous cell carcinoma (LSCC).

METHODS

Trends and factors associated with the use of neck dissection during larynx-preserving surgery for patients with cT1-2, N0, M0 supraglottic LSCC in the National Cancer Database (2004-2020) were evaluated using multivariable-adjusted logistic regression.

RESULTS

Of the 2080 patients who satisfied study eligibility criteria, 633 (30.4%) underwent neck dissection. Between 2018 and 2020, the rate of neck dissection was 39.0% (114/292). After multivariable adjustment, academic facility type, undergoing biopsy prior to surgery, and more radical surgery were significant predictors of receiving neck dissection.

CONCLUSIONS

The results of this national analysis suggest that the utilization of guideline-concordant neck dissection for management of stage I-II supraglottic LSCC remains low and highlight the need to promote the practice of neck dissection for this patient population.

Development and validation of a diagnostic model for predicting cervical lymph node metastasis in laryngeal and hypopharyngeal carcinoma

Objectives

The lymph node status is crucial for guiding the surgical approach for patients with laryngeal and hypopharyngeal carcinoma (LHC). Nonetheless, occult lymph node metastasis presents challenges to assessment and treatment planning. This study seeks to develop and validate a diagnostic model for evaluating cervical lymph node status in LHC patients.

Materials and methods

This study retrospectively analyzed a total of 285 LHC patients who were treated at the Department of Otolaryngology Head and Neck Surgery, Daping Hospital, Army Medical University, from January 2015 to December 2020. Univariate and multivariate logistic regression analyses were employed to construct the predictive model. Discrimination and calibration were used to assess the predictive performance of the model. Decision curve analysis (DCA) was performed to evaluate the clinical utility of the model, and validation was conducted using 10-fold cross-validation, Leave-One-Out Cross Validation, and bootstrap methods.

Results

This study identified significant predictors of lymph node metastasis in LHC. A diagnostic predictive model was developed and visualized using a nomogram. The model demonstrated excellent discrimination, with a C-index of 0.887 (95% CI: 0.835-0.933). DCA analysis indicated its practical applicability, and multiple validation methods confirmed its fitting and generalization ability.

Conclusion

This study successfully established and validated a diagnostic predictive model for cervical lymph node metastasis in LHC. The visualized nomogram provides a convenient tool for personalized prediction of cervical lymph node status in patients, particularly in the context of occult cervical lymph node metastasis, offering valuable guidance for clinical treatment decisions.

Surgery for Supraglottic Laryngeal Cancer

Although total laryngectomy continues to be important treatment of supraglottic laryngeal cancer, the management of early-stage disease has evolved from primary radiation/chemoradiation to consideration of partial laryngectomy surgery. Surgeon experience and careful patient selection can lead to excellent oncologic and functional outcomes for these techniques. However, advanced stage tumors and salvage situations are challenging and the ability to eradicate disease and preserve function should be carefully considered. Contraindications to supraglottic laryngectomy depend on surgical approach, as do complications. With adequate patient selection, high rates of cure and function can be achieved with both open and transoral supraglottic laryngectomy procedures.

Angiotensin-converting enzyme insertion/deletion gene polymorphism in patients with laryngeal cancer

Objectives

The aim of this study was to compare the distribution of the angiotensin-converting enzyme (ACE) I/D polymorphism between patients with laryngeal cancer (LC) and a control group and to examine the distribution of this polymorphism with clinical parameters related to LC.

Methods

We enrolled 44 LC patients and 61 healthy controls. The ACE I/D polymorphism was genotyped with the PCR-RFLP method. The distribution of ACE genotypes (II, ID, and DD) and alleles (I or D) was evaluated with Pearson's chi-square test, and logistic regression analysis was performed for statistically significant parameters.

Results

There was no significant difference in ACE genotypes and alleles between LC patients and controls (p = 0.079 and p = 0.068, respectively). Among clinical parameters related to LC (extension of tumour, node metastasis, tumour stage and tumour location), only the presence of node metastasis was found to be significant in terms of ACE DD genotype (p = 0.137, p = 0.031, p = 0.147, p = 0.321 respectively). In the logistic regression analysis, the ACE DD genotype was increased 8.3 fold in nodal metastases.

Conclusions

The findings of the study suggest that ACE genotypes and alleles do not affect the prevalence of LC, but the DD genotype of ACE polymorphism may increase the risk of lymph node metastasis in LC patients.

Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma

Objectives

A more accurate preoperative prediction of lymph node metastasis (LNM) plays a decisive role in the selection of treatment in patients with laryngeal carcinoma (LC). This study aimed to develop a machine learning (ML) prediction model for predicting LNM in patients with LC.

Methods

We collected and retrospectively analysed 4887 LC patients with detailed demographical characteristics including age at diagnosis, race, sex, primary site, histology, number of tumours, T-stage, grade, and tumour size in the National Institutes of Health (NIH) Surveillance, Epidemiology, and End Results (SEER) database from 2005 to 2015. A correlation analysis of all variables was evaluated by the Pearson correlation. Independent risk factors for LC patients with LNM were identified by univariate and multivariate logistic regression analyses. Afterward, patients were randomly divided into training and test sets in a ratio of 8 to 2. On this basis, we established logistic regression (LR), k-nearest neighbor (KNN), support vector machine (SVM), extreme gradient boosting (XGBoost), random forest (RF), and light gradient boosting machine (LightGBM) algorithm models based on ML. The area under the receiver operating characteristic curve (AUC) value, accuracy, precision, recall rate, F1-score, specificity, and Brier score was adopted to evaluate and compare the prediction performance of the models. Finally, the Shapley additive explanation (SHAP) method was used to interpret the association between each feature variable and target variables based on the best model.

Results

Of the 4887 total LC patients, 3409 were without LNM (69.76%), and 1478 had LNM (30.24%). The result of the Pearson correlation showed that variables were weakly correlated with each other. The independent risk factors for LC patients with LNM were age at diagnosis, race, primary site, number of tumours, tumour size, grade, and T-stage. Among six models, XGBoost displayed a better performance for predicting LNM, with five performance metrics outperforming other models in the training set (AUC: 0.791 (95% CI: 0.776–0.806), accuracy: 0.739, recall rate: 0.638, F1-score: 0.663, and Brier score: 0.165), and similar results were observed in the test set. Moreover, the SHAP value of XGBoost was calculated, and the result showed that the three features, T-stage, primary site, and grade, had the greatest impact on predicting the outcomes.

Conclusions

The XGBoost model performed better and can be applied to forecast the LNM of LC, offering a valuable and significant reference for clinicians in advanced decision-making.

A Predictive Nomogram for Lymph Node Metastasis in Supraglottic Laryngeal Squamous Cell Carcinoma

Purpose

Lymph node metastasis (LNM) has a negative impact on the survival of patients with laryngeal squamous cell carcinoma (LSCC). Supraglottic LSCC is the most common cause of cervical lymph node metastases due to the extensive submucosal lymphatic plexus. The accurate evaluation of LNM before surgery can inform improved decisions in the clinic. In this study, we aimed to construct a nomogram to predict LNM in primary supraglottic LSCC patients.

Methods

The data from 314 patients with clinico-pathological confirmed supraglottic LSCC who underwent partial or total laryngectomy in our department from 2016 to 2020 were retrospectively analyzed (243 cases in the training set and 71 cases in the validation set). A multivariate logistic regression model was used to screen out independent risk factors and a nomogram was established. The accuracy and discrimination ability of the nomogram was evaluated using a consistency index and calibration curves.

Results

Tumor size, tumor differentiation degree and LMR (lymphocyte-monocyte ratio) were selected to construct the nomogram. The C-index was 0.731 in the training set and 0.707 in the validation set. The calibration curves of the training and validation group both exhibited close agreement between the predicted and the actual presence of LNM.

Conclusions

A nomogram was established based on routinely measured pretreatment variables and the predicted results improved the management of patients with LNM.