Treatment Of Laryngeal Cancer Research Articles

Trans-oral laser microsurgery in the management of glottic cancer

The treatment of laryngeal cancer requires treatment of disease with maximal preservation of laryngeal function. An array of treatments is available including endoscopic surgery, open surgery, and radiation therapy. Trans-Oral Laser Microsurgery has become increasingly popular as data has accrued demonstrating evidence of favorable functional and oncologic outcomes.

LARYNGEAL CANCER SURGICAL RESULTS; 10 YEARS OF EXPERIENCE

OBJECTIVE: In this study, it was aimed to present the patients who underwent open laryngectomy in a tertiary otolaryngology clinic with current literature information in terms of age, gender, first symptom and duration, histopathological diagnosis, localization of the primary disease, neck condition, and our surgical treatment approach and results. MATERIAL AND METHODS: In this study, the retrospective analysis of the files of 70 patients who underwent open surgical treatment for laryngeal cancer between 2011 and 2021 in a tertiary otorhinolaryngology clinic is discussed. RESULTS: Of our laryngeal cancer cases, 68 (97.1%) were male, 2 (2.9%) were female, and their mean age was 64.9 (48-89 years). Thirty-four (48.57%) of our cases were glottic, 23 (32.9%) supraglottic, and 11 (15.7%) transglottic. There were 2 (2.85%) cases with isolated subglottic locations. Total laryngectomy was performed in 38 (54.3%) cases and partial laryngectomy was performed in 32 (45.7%) cases. Vertical laryngectomy in 1 (1.42%) of patients, subtotal laryngectomy in 1 (1.42%), frontolateral laryngectomy in 6 (8.57%), supraglottic horizontal laryngectomy in 10 (14.28%), supracricoid in 14 (20%) patients laryngectomy was performed. As a histopathological diagnosis; 3 (4.2%) cases of baso-squamous carcinoma, and the remaining 67 (95.8%) cases were squamous cell carcinoma. CONCLUSIONS: Surgery has an important place in the treatment of laryngeal cancers and neck dissection is complementary to regional control. Occult metastases in the cervical region cannot be determined using noninvasive methods, neck dissection is required to identify them. Detailed histopathological evaluation of lymph nodes removed during neck dissection is currently the most reliable method available for accurate diagnosis of lymph nodes.

Current Status of Partial Laryngeal Surgery for Advanced Laryngeal Cancer: When and Why?

This paper aims to evaluate the evolution and current status of partial laryngeal surgery in the treatment of advanced laryngeal cancer (LC). Specifically, recent progress in the selection of both patients and tumors, together with surgical and rehabilitation innovations, have contributed to balancing oncological control with the maintenance of quality of life in naïve and radiorecurrent patients. The main aspect is represented by the recognized role of open partial horizontal laryngectomies (OPHLs) in this new era of laryngeal cancer treatment. Recent advancements highlight OPHLs' efficacy for conservative management of intermediate to advanced stages of LC. Innovations such as supratracheal partial laryngectomy have expanded surgical options, offering a modular approach to complex cases. Improved understanding of tumor biology, enhanced imaging techniques, and more precise preoperative planning have led to better patient outcomes, emphasizing the importance of a conservative function-preserving surgical treatment. These advancements reflect a broader trend towards individualized treatment plans that prioritize both survival and quality of life. OPHLs play an important role in current management of intermediate/advanced LC, effectively balancing oncological control with the preservation of laryngeal functions. Critical factors include meticulous patient and tumor selection, the impact of surgical and technological refinements on functional outcomes, and the necessity of a multidisciplinary approach in treatment planning. Current evidence justifies the use of these interventions in many intermediate T-stage laryngeal tumors, even at risk of upstaging on pathological examination. The oncological results, the preservation of laryngeal function and the laryngectomy-free survival achieved with OPHLs appear to be highly competitive with those of non surgical organ-preservation protocols, aiming to introduce a new standard in the LC treatment.

Analysis of local, regional, and distant recurrence of disease in mucoepidermoid tumors of larynx: A systematic review.

The aim of this systematic review is to analyze epidemiology, clinical presentation, histopathological features, treatment and oncological outcomes in laryngeal mucoepidermoid cancer (MEC) in order to improve the knowledge on the management of such a rare malignant neoplasm. Specifically, authors highlight patients' and tumors' features about local, regional, and distant recurrence of disease. PRISMA 2020 guidelines were applied in this systematic literature review. A computerized search was performed using the Embase/Pubmed, Scopus, and Cochrane databases, for articles published from 1971 to December 2023. A descriptive and univariate analysis including selected papers with low or intermediate risk of bias was performed. Twenty-seven papers (11 case series and 16 case reports) were included in this review. Fifty-six patients were included in the analyses, with a mean age of 56.7 years; 84% of them were males. Most patients (86%) underwent a primary surgical approach. Clinical stage was reported as follows: early stage (26 patients) and locally advance and advanced stage (19 patients). Overall survival (OS) and disease-free survival (DFS) at 2 years was 80% and 78%, respectively. The mean time to local recurrence was 18.7 months (range 8-36 months). The survival after recurrence is about 85% and 70% at 5 years, respectively. The mean time of lymph node recurrence was 14.7 months (range 7-19 months). Finally, the mean time of distant recurrence was 15 months (range 7-36 months) with a poor prognosis: all patients died due to the disease in a range of 0-7 months after metastasis evidence. Laryngeal MEC is a rare neoplasm of minor salivary glands in the larynx. No guidelines or indications about the management of this neoplasm are reported in the literature. The lower incidence of regional recurrence of the disease and the better OS and DFS underline how the prognosis of MEC is more favorable respect to other malignant histotypes.

Open Organ Preservation for Laryngeal Cancer

As the treatment for laryngeal cancer has evolved over several decades, organ preservation has remained one of the goals of treatment. While chemoradiation therapy is the most widely used treatment modality, open surgical preservation techniques for laryngeal cancer continue to be an option in the surgeon's armamentarium. A summary of the history, anatomic considerations, principles of organ preservation and specific partial laryngectomy techniques are discussed in this review.

Operative Techniques in Otolaryngology: Head and Neck Surgery. Geisinger Medical Center Experience for Whole Mount Laryngectomy Specimen.

The American Cancer Society estimates approximately 12,380 new cases of laryngeal cancer (0.7% of all cases) with approximately 3820 people dying from the disease. There is 3.86:1 male to female ratio and represent third most prevalent upper aerodigestive tract site, following the oral and pharyngeal regions. Typically affects patients in the fifth decade of life. Accurate diagnosis and management are crucial for patient survival. This study examines the pathological features of laryngectomy specimens and their significance in the diagnosis and management of laryngeal cancer. Our institution's intraoperative evaluation of margins and surgical procedures for laryngeal cancer treatment are also discussed. The study found that gross pathology and histomorphology of laryngeal specimens after laryngectomy are the most accurate methods for determining the extent of tumor involvement. The majority of our procedures involve total or partial laryngectomy. The significance of surgical pathology in the diagnosis and management of laryngeal cancer is highlighted in this article.

Abstract 4812: Evaluating racial and ethnic differences in advanced-stage laryngeal cancer treatment and outcomes in Florida: Unmasking the inequities

Abstract Purpose: To evaluate the association between race/ethnicity, treatment, and mortality among individuals with advanced-stage laryngeal cancer in Florida. Methods: We obtained data from the Florida Cancer Data System (FCDS) on non-Hispanic (NH)-White (the reference group), Hispanic, and NH-Black patients with advanced-stage (regional and distant) laryngeal cancer from 2009 to 2020. Sociodemographic factors were obtained from FCDS (age, marital status, and insurance) and the United States Census at the county level (education, household income, and rurality). Treatment strategies included chemoradiation, surgery followed by chemoradiation, chemotherapy, radiation, surgery, and surgery followed by chemotherapy. The primary outcome was overall mortality. Multivariable Cox proportional hazard models were used to calculate hazard ratios (HR) and 95% confidence intervals (95% CI) and to examine the association of race/ethnicity with treatment and survival, while adjusting for sociodemographic factors. Results: There were 4,522 participants with advanced-stage laryngeal cancer (57.9% <65 years, 79.5% male, 75.4% NH-White, 13.1% Hispanic, and 11.5% NH-Black) included in the analysis. Compared to NH-White patients, NH-Black patients were less likely to be married, have private insurance, and live in an urban county. Moreover, NH-Black individuals were less likely to receive chemoradiation alone and were more likely to receive surgery followed by chemoradiation. Government insurance was highly associated with chemoradiation receipt. In age-adjusted models, NH-Black patients with advanced-stage laryngeal cancer had a higher risk of death compared to NH-White patients (HR: 1.19; 95% CI: 1.06, 1.32), while Hispanic patients had a lower risk of death compared to NH-White patients (HR: 0.80; 95% CI: 0.71, 0.89). After adjusting for sociodemographic factors, there was no statistically significant difference in overall mortality in NH-Black patients compared to NH-White patients (HR: 1.07; 95% CI: 0.96, 1.20). However, among individuals who received chemoradiation, NH-Black patients had a higher risk of mortality, even after adjusting for sociodemographic factors, compared to NH-White patients (HR: 1.27; 95% CI: 1.04, 1.55). Conclusions: Among patients with advanced-stage laryngeal cancer in Florida, NH-Black patients experienced a higher risk of overall mortality compared to other racial and ethnic groups, but this discrepancy was primarily among those who received chemoradiation, even after accounting for sociodemographic factors. This study emphasizes the urgency of expanding laryngeal cancer care access for NH-Black individuals and investigating possible biological variations in their response to chemoradiation and subsequent survival outcomes. Citation Format: Caretia J. Washington, Chayil Lattimore, Dejana Braithwaite, Kristianna Fredenburg, Shama Karanth. Evaluating racial and ethnic differences in advanced-stage laryngeal cancer treatment and outcomes in Florida: Unmasking the inequities [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4812.

Multicentric Study on Oncological Outcomes and Prognostic Factors of Open Partial Horizontal Laryngectomies.

Objective: In recent years, the number of open preservation surgeries for the treatment of laryngeal Cancer has increased. This surgery aims to maintain laryngeal function and ensure oncological radicality, thereby avoiding a total laryngectomy (TL) that could significantly impact the patient's quality of life. The purpose of this study was to assess the oncologic results of OPHL I and II and to identify prognostic factors that could impact patient survival and local failure rates. Methods: This study was conducted on 182 patients with laryngeal squamous cell carcinoma treated with OPHLs between 2005 and 2015. The survival rates of a group of patients treated with TL between 2004 and 2014 were taken into consideration to compare survival outcomes. Results: The disease-specific survival in pT2 and pT3 tumors in relation to the type of surgery showed no statistically significant difference between OPHLs and TL (P = .54 and P = .63, respectively). The 5-year T-recurrence-free survival showed that pT4 tumors, perineural/vascular positive invasion, and OPHL IIb + ARY-treated tumors were associated with a higher risk of tumor recurrence (P < .0001, P = .0005 and P = .016 respectively). Conclusions: OPHLs represent an excellent alternative to TL considering the characteristics of the tumor and the general conditions of the patient.

Generation of a Realistic Synthetic Laryngeal Cancer Cohort for AI Applications

Background: Obtaining large amounts of real patient data involves great efforts and expenses, and processing this data is fraught with data protection concerns. Consequently, data sharing might not always be possible, particularly when large, open science datasets are needed, as for AI development. For such purposes, the generation of realistic synthetic data may be the solution. Our project aimed to generate realistic cancer data with the use case of laryngeal cancer. Methods: We used the open-source software Synthea and programmed an additional module for development, treatment and follow-up for laryngeal cancer by using external, real-world (RW) evidence from guidelines and cancer registries from Germany. To generate an incidence-based cohort view, we randomly drew laryngeal cancer cases from the simulated population and deceased persons, stratified by the real-world age and sex distributions at diagnosis. Results: A module with age- and stage-specific treatment and prognosis for laryngeal cancer was successfully implemented. The synthesized population reflects RW prevalence well, extracting a cohort of 50,000 laryngeal cancer patients. Descriptive data on stage-specific and 5-year overall survival were in accordance with published data. Conclusions: We developed a large cohort of realistic synthetic laryngeal cancer cases with Synthea. Such data can be shared and published open source without data protection issues.

Perforator-based chimeric ulnar forearm microvascular free tissue transfer reconstruction of post-radiated tracheoesophageal puncture fistulae.

Tracheoesophageal puncture (TEP) performed during total laryngectomy in the primary treatment of laryngeal cancer is the standard method for voice restoration. Following adjuvant radiotherapy, the TEP site can experience complications resulting in a tracheoesophageal fistula (TEF) with chronic leakage making oral alimentation unsafe due to aspiration. Here, we describe a technique using chimeric ulnar artery perforator forearm free flaps (UAPFF) in the reconstruction of these complex deformities. Four patients underwent chimeric UAPFF reconstruction of TEP site TEFs following primary TL with TEP and adjuvant radiotherapy. No flap failures or surgical complications occurred. Average time from end of radiotherapy to persistent TEF was 66 months (range 4-190 months). All patients had resolution in their TEF with average time to total oral diet achievement of 22 days (14-42 days). Chimeric UAPFF reconstruction is a safe and effective method to reconstruct recalcitrant TEP site TEFs.

Automated Laryngeal Cancer Detection and Classification Using Dwarf Mongoose Optimization Algorithm with Deep Learning.

Laryngeal cancer (LCA) is a serious disease with a concerning global rise in incidence. Accurate treatment for LCA is particularly challenging in later stages, due to its complex nature as a head and neck malignancy. To address this challenge, researchers have been actively developing various analysis methods and tools to assist medical professionals in efficient LCA identification. However, existing tools and methods often suffer from various limitations, including low accuracy in early-stage LCA detection, high computational complexity, and lengthy patient screening times. With this motivation, this study presents an Automated Laryngeal Cancer Detection and Classification using a Dwarf Mongoose Optimization Algorithm with Deep Learning (ALCAD-DMODL) technique. The main objective of the ALCAD-DMODL method is to recognize the existence of LCA using the DL model. In the presented ALCAD-DMODL technique, a median filtering (MF)-based noise removal process takes place to get rid of the noise. Additionally, the ALCAD-DMODL technique involves the EfficientNet-B0 model for deriving feature vectors from the pre-processed images. For optimal hyperparameter tuning of the EfficientNet-B0 model, the DMO algorithm can be applied to select the parameters. Finally, the multi-head bidirectional gated recurrent unit (MBGRU) model is applied for the recognition and classification of LCA. The simulation result analysis of the ALCAD-DMODL technique is carried out on the throat region image dataset. The comparison study stated the supremacy of the ALCAD-DMODL technique in terms of distinct measures.

Prognostic analysis of surgical treatment for T3 glottic laryngeal cancer based on different tumor extension patterns.

To investigate the prognostic impact of different tumor invasion patterns in the surgical treatment of T3 glottic laryngeal cancer. We conducted a retrospective analysis of clinical data of 91 patients with T3 glottic laryngeal cancer. We found that the posterior invasion being significantly associated with involvement of the lamina of cricoid cartilage (P < 0.001), arytenoid cartilage (P = 0.001), and subglottic (P = 0.001). There was no statistical difference in survival outcomes between the total laryngectomy (TL) group and the partial laryngectomy(PL) group, but in the PL group, tumors with anterior invasion were associated with a better 5-year DFS than tumors with posterior invasion (HR: 4.681, 95% CI: 1.337-16.393, P = 0.016), and subglottic involvement was associated with worse LRRFS (HR: 3.931, 95% CI: 1.054-14.658, P = 0.041). At the same time, we found that involvement of the lamina of cricoid cartilage was an independent risk factor for postoperative laryngeal stenosis in PL patients (HR: 11.67, 95% CI: 1.89-71.98, P = 0.008). Selectively performed PL can also achieve favorable oncological outcomes comparable to those of TL. Posterior invasion and subglottic involvement are independent prognostic factors for recurrence after PL in T3 glottic laryngeal cancer, and involvement of the lamina of cricoid cartilage is associated with postoperative laryngeal stenosis. The tumor invasion pattern of patients with laryngeal cancer should be further subdivided to allow for selection of a more individualized treatment plan.

Prognostic impact of different tumor invasion patterns in the surgical treatment of T3 glottic laryngeal cancer

Objective:To investigate the prognostic impact of different tumor invasion patterns in the surgical treatment of T3 glottic laryngeal cancer. Methods:A retrospective analysis was conducted on the clinical data of 91 patients with T3 glottic laryngeal cancer. Results:Among the 91 patients, 58 cases （63.7%） had anterior invasion and 33 cases （36.3%） had posterior invasion. The posterior invasion was significantly correlated with invasions of the dorsal plate of cricoid cartilage （P<0.001）, arytenoid cartilage （P= 0.001）, and subglottic region（P = 0.001）. There was no statistical difference in survival outcomes between the total laryngectomy group and the partial laryngectomy group. But in the partial laryngectomy group, the 5-year disease-free survival（DFS） of patients with anterior invasive tumors was better than that of patients with posterior invasion tumors （HR: 4.681, 95%CI 1.337-16.393, P=0.016）, and subglottic invasion was associated with worse loco-regional recurrence-free survival（LRRFS）（HR: 3.931, 95%CI 1.054-14.658, P=0.041）. At the same time, we found that involvement of the dorsal plate of cricoid cartilage was an independent risk factor for postoperative laryngeal stenosis in partial laryngectomy patients （HR:11.67, 95%CI 1.89-71.98,P=0.008）. Conclusion:Compared with total laryngectomy, selected partial laryngectomy can also achieve favorable oncological outcomes. Posterior invasion and subglottic extension are independent prognostic factors for recurrence of partial laryngectomy in T3 glottic laryngeal cancer, and the involvement of the dorsal plate of cricoid cartilage is associated with postoperative laryngeal stenosis. The tumor invasion pattern of laryngeal cancer should be further subdivided in order to select a more individualized treatment plan.

Integrating GEO, network pharmacology, and in vitro assays to explore the pharmacological mechanism of Bruceae Fructus against laryngeal cancer

The goal of this study is to look into the pharmacological mechanism of Bruceae Fructus in conjunction with GEO, network pharmacology, and in vitro assays for the treatment of laryngeal cancer to provide theoretical support for its therapeutic use. The active components and matching targets of Bruceae Fructus were retrieved from the TCMSP database, while genes linked with laryngeal cancer were obtained from the GEO, GeneCards, DisGeNET, and DrugBank databases. Besides, the components and targets were supplemented by literatures in PubMed database. Cytoscape software was used to create the active ingredients–target network diagram. The String database was used to build the PPI network. Following that, the core targets were subjected to GO enrichment and KEGG pathway analysis using the DAVID database. Finally, AutoDock was used to perform molecular docking between the core components and the core targets. To investigate the biological effects of beta-sitosterol, the viability of laryngeal cancer cells was assessed after beta-sitosterol therapy using the MTS technique. Following that, how beta-sitosterol affected colony formation after 14 days of culture of treated cells was researched. Flow cytometry was utilized to detect apoptosis to examine the influence of beta-sitosterol on laryngeal cancer cell apoptosis, and then detected mRNA and protein expression levels of 10 key genes by RT-qPCR and Western Blot assay. There were 1258 laryngeal cancer–related genes and 15 Bruceae Fructus components, with beta-sitosterol and luteolin serving as key components. Bruceae Fructus’ primary targets against laryngeal cancer were IL6, JUN, TNF, IL2, IL4, IFNG, RELA, TP53, CDKN1A, and AKT1. GO enrichment yielded 41 CC, 78 MF, and 383 BP. Platinum drug resistance, the PI3K-Akt signaling pathway, the p53 signaling pathway, apoptosis, the HIF-1 signaling pathway, and 147 additional pathways have been added to KEGG. The results of molecular docking revealed that the core components had a high affinity for the core target. The results of the cell experiment indicate that beta-sitosterol suppressed Hep-2 cell activity in a concentration-dependent manner. Besides, beta-sitosterol has powerful antiproliferative properties in Hep-2 cells. Flow cytometry results showed that beta-sitosterol promoted laryngeal cancer cell apoptosis in a concentration-dependent manner. The results of RT-qPCR and Western Blot assay showed that the mRNA and protein expression levels of TP53, JUN, TNF-α, CDKN1A, and IL-2 were significantly up-regulated after beta-sitosterol treatment, while the mRNA and protein expression levels of RELA, AKT1, IL-6, IFNG, and IL-4 were significantly down-regulated. This study integrating GEO, network pharmacology, and in vitro assays investigated the probable mechanism of Bruceae Fructus’ anti-laryngeal cancer activity, which can give a theoretical foundation for additional future animal experiments.

Impact of a Multidisciplinary Head and Neck Tumor Board on Treatment and Survival in Laryngeal Carcinoma.

Pretherapeutic discussion in the head and neck tumor board (HNT) has been mandatory at the University Medical Center Freiburg since 01/2015, and it is intended to contribute to a survival benefit through interdisciplinary decision making. Prior to 2015, an optional HNT existed in which mainly advanced tumor stages were discussed. The aim of this study was to determine the effect of a pretherapeutic HNT on treatment and survival in laryngeal cancer. A retrospective data analysis of 412 laryngeal carcinoma patients treated at the Head and Neck Cancer Center of the University Medical Center Freiburg between 01/2010 and 12/2020 was conducted. Differences regarding TNM status, UICC classification, tumor localization, gender and age at initial diagnosis, recurrence, secondary tumors, therapy, 5-year survival, and 5-year recurrence-free survival (5YSR/5Y-RFS) were assessed for therapy initiation with or without a pretherapeutic HNT. In total, 314 patients underwent a pretherapeutic HNT, and 98 received therapy initiation without an HNT. The HNT group showed significantly more advanced T stages and UICC classifications (p < 0.001; p = 0.003) and more frequent primary chemo/radiotherapy (p < 0.001). There was no significant difference regarding 5YSR (43 vs. 47 months, p = 0.96) or 5Y-RFS (48 vs. 52 months, p = 0.16). The time between initial diagnosis and therapy initiation was significantly longer when an HNT was performed (38 vs. 20 days, p = 0.008). The HNT group showed significantly more advanced tumor stages, suggesting that even before it became mandatory, it was frequently used for interdisciplinary case discussion in more complex cases. Due to the small number of T3/4 patients in the non-HNT group, a survival advantage of an HNT cannot be validly demonstrated in our study. However, the HNT led to broader patient counselling regarding their therapy options. At the same time, a significant delay in therapy initiation could be seen, suggesting that workflows between diagnosis, HNT presentation, and therapy initiation should be optimized.

Essentially unedited deep-learning-based OARs are suitable for rigorous oropharyngeal and laryngeal cancer treatment planning.

Quality of organ at risk (OAR) autosegmentation is often judged by concordance metrics against the human-generated gold standard. However, the ultimate goal is the ability to use unedited autosegmented OARs in treatment planning, while maintaining the plan quality. We tested this approach with head and neck (HN) OARs generated by a prototype deep-learning (DL) model on patients previously treated for oropharyngeal and laryngeal cancer. Forty patients were selected, with all structures delineated by an experienced physician. For each patient, a set of 13 OARs were generated by the DL model. Each patient was re-planned based on original targets and unedited DL-produced OARs. The new dose distributions were then applied back to the manually delineated structures. The target coverage was evaluated with inhomogeneity index (II) and the relative volume of regret. For the OARs, Dice similarity coefficient (DSC) of areas under the DVH curves, individual DVH objectives, and composite continuous plan quality metric (PQM) were compared. The nearly identical primary target coverage for the original and re-generated plans was achieved, with the same II and relative volume of regret values. The average DSC of the areas under the corresponding pairs of DVH curves was 0.97±0.06. The number of critical DVH points which met the clinical objectives with the dose optimized on autosegmented structures but failed when evaluated on the manual ones was 5 of 896 (0.6%). The average OAR PQM score with the re-planned dose distributions was essentially the same when evaluated either on the autosegmented or manual OARs. Thus, rigorous HN treatment planning is possible with OARs segmented by a prototype DL algorithm with minimal, if any, manual editing.

Tobacco Cessation Following Laryngeal Cancer Diagnosis Predicts Response to Treatment and Laryngectomy-Free Survival.

To determine the effect of tobacco cessation following laryngeal cancer diagnosis on response to first-line therapy, laryngectomy-free survival, and overall survival in patients who were current smokers at the time of diagnosis. Retrospective, case-control study. OU Stephenson Cancer Center, National Cancer Institute-Designated Cancer Center. We included 140 patients diagnosed with laryngeal squamous cell carcinoma, who were current smokers at the time of diagnosis, and were treated with first-line definitive radiation or chemo/radiation with the intent to cure. The association between patient characteristics and treatment response was assessed using the χ2 test and logistic regression analysis. Survival outcomes were analyzed using Kaplan-Meier methods and Cox proportional-hazards models. Of the 140 current smokers, 61 patients (45%) quit smoking prior to treatment initiation. In adjusted logistic regression analysis, quitters had 3.7 times higher odds of achieving a complete response to first-line therapy than active smokers (odds ratio: 3.694 [1.575-8.661]; P = .003). In the adjusted Cox proportional-hazards model, quitters were 54% less likely to require salvage laryngectomy within 7 years of diagnosis than active smokers (hazard ratio: 0.456 [0.246-0.848]; P = .013). Quitters had a statistically significant increase in 7-year overall survival compared to active smokers (P = .02). This is the first study to show that in newly diagnosed laryngeal cancer patients who are current smokers at the time of diagnosis, tobacco cessation significantly increases therapy response, laryngectomy-free survival, and overall survival. These data stress the importance of systematically incorporating tobacco cessation programs into laryngeal cancer treatment plans.

Vocal cord leukoplakia classification using deep learning models in white light and narrow band imaging endoscopy images.

Accurate vocal cord leukoplakia classification is critical for the individualized treatment and early detection of laryngeal cancer. Numerous deep learning techniques have been proposed, but it is unclear how to select one to apply in the laryngeal tasks. This article introduces and reliably evaluates existing deep learning models for vocal cord leukoplakia classification. We created white light and narrow band imaging (NBI) image datasets of vocal cord leukoplakia which were classified into six classes: normal tissues (NT), inflammatory keratosis (IK), mild dysplasia (MiD), moderate dysplasia (MoD), severe dysplasia (SD), and squamous cell carcinoma (SCC). Vocal cord leukoplakia classification was performed using six classical deep learning models, AlexNet, VGG, Google Inception, ResNet, DenseNet, and Vision Transformer. GoogLeNet (i.e., Google Inception V1), DenseNet-121, and ResNet-152 perform excellent classification. The highest overall accuracy of white light image classification is 0.9583, while the highest overall accuracy of NBI image classification is 0.9478. These three neural networks all provide very high sensitivity, specificity, and precision values. GoogLeNet, ResNet, and DenseNet can provide accurate pathological classification of vocal cord leukoplakia. It facilitates early diagnosis, providing judgment on conservative treatment or surgical treatment of different degrees, and reducing the burden on endoscopists.

Identification of biomarkers in laryngeal cancer by weighted gene co-expression network analysis.

Laryngeal cancer (LC) is a globally prevalent and highly lethal tumor. Despite extensive efforts, the underlying mechanisms of LC remain inadequately understood. This study aims to conduct an innovative bioinformatic analysis to identify hub genes that could potentially serve as biomarkers or therapeutic targets in LC. We acquired a dataset consisting of 117 LC patient samples, 16 746 LC gene RNA sequencing data points, and 9 clinical features from the Cancer Genome Atlas (TCGA) database in the United States. We employed weighted gene co-expression network analysis (WGCNA) to construct multiple co-expression gene modules. Subsequently, we assessed the correlations between these co-expression modules and clinical features to validate their associations. We also explored the interplay between modules to identify pivotal genes within disease pathways. Finally, we used the Kaplan-Meier plotter to validate the correlation between enriched genes and LC prognosis. WGCNA analysis led to the creation of a total of 16 co-expression gene modules related to LC. Four of these modules (designated as the yellow, magenta, black, and brown modules) exhibited significant correlations with 3 clinical features: The age of initial pathological diagnosis, cancer status, and pathological N stage. Specifically, the yellow and magenta gene modules displayed negative correlations with the age of pathological diagnosis (r=-0.23, P<0.05; r=-0.33, P<0.05), while the black and brown gene modules demonstrated negative associations with cancer status (r=-0.39, P<0.05; r=-0.50, P<0.05). The brown gene module displayed a positive correlation with pathological N stage. Gene Ontology (GO) enrichment analysis identified 77 items, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis identified 30 related signaling pathways, including the calcium signaling pathway, cytokine-cytokine receptor interaction, neuro active ligand-receptor interaction, and regulation of lipolysis in adipocytes, etc. Consequently, central genes within these modules that were significantly linked to the overall survival rate of LC patients were identified. Central genes included CHRNB4, FOXL2, KCNG1, LOC440173, ADAMTS15, BMP2, FAP, and KIAA1644. This study, utilizing WGCNA and subsequent validation, pinpointed 8 genes with potential as gene biomarkers for LC. These findings offer valuable references for the clinical diagnosis, prognosis, and treatment of LC.

Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients.

Radiotherapy (RT) is an important modality for laryngeal cancer treatment to preserve laryngeal function. During beam delivery, laryngeal motion remains uncontrollable and may compromise tumor-targeting efficacy. We aimed to examine real-time laryngeal motion by developing a surface depth-sensing technique with preliminary testing during RT-based treatment of patients with laryngeal cancer. A surface depth-sensing (SDS) camera was set up and integrated into RT simulation procedures. By recording the natural swallowing of patients, SDS calculation was performed using the Pose Estimation Model and deep neural network technique. Seven male patients with laryngeal cancer were enrolled in this prospective study. The calculated motion distances of the laryngeal prominence (mean ± standard deviation) were 1.6 ± 0.8 mm, 21.4 ± 5.1 mm, 6.4 ± 3.3 mm, and 22.7 ± 4.9 mm in the left-right, cranio-caudal, and anterior-posterior directions and for the spatial displacement, respectively. The calculated differences in the 3D margins for generating the planning tumor volume by senior physicians with and without SDS data were -0.7 ± 1.0 mm (-18%), 11.3 ± 6.8 mm (235%), and 1.8 ± 2.6 mm (45%) in the left-right, cranio-caudal, and anterior-posterior directions, respectively. The SDS technique developed for detecting laryngeal motion during swallowing may be a practical guide for individualized RT design in the treatment of laryngeal cancer.