Advancements in Head and Neck Cancer Surgery

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Clinical Research of Cancer".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1130

Special Issue Editor


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Guest Editor
Department of Otorhinolaryngology-Head and Neck Surgery, Hospital Universitario Donostia, San Sebastian, Spain
Interests: reconstruvtive surgery; molecular pathology; salivary gland; artificial intelligence; laryngeal cancer
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Special Issue Information

Dear Colleagues,

In recent years, the field of head and neck cancer surgery has witnessed remarkable advancements in many fields, driven by innovative techniques, technological developments, and a deeper understanding of tumor biology. This Special Issue aims to showcase the latest research regarding surgical and non-surgical techniques, rehabilitation, as well as multidisciplinary approaches that are shaping the future of head and neck cancer surgery.

In this Special Issue, we will cover a wide range of topics related to head and neck cancer surgery, including, but not limited to, minimally invasive surgical techniques, robotic-assisted surgery, reconstructive surgery and microvascular techniques, surgical management of advanced and recurrent tumors, surgical innovations and technological advancements, multidisciplinary approaches to treatment planning and execution, surgical outcomes and quality-of-life assessments, patient-centered care and shared decision-making, and training and education in head and neck surgical oncology. The main objective of this Special Issue is to provide a comprehensive platform for researchers, clinicians, and healthcare professionals to share their research findings in the field of head and neck cancer surgery.

Prof. Dr. Carlos M. Chiesa-Estomba
Guest Editor

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Keywords

  • minimal invasive
  • transoral
  • robotic
  • reconstructive
  • 3D printing
  • targeting therapies
  • imaging

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Published Papers (1 paper)

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Research

18 pages, 1501 KiB  
Article
Derived Neutrophils to Lymphocyte Ratio Predicts Survival Benefit from TPF Induction Chemotherapy in Local Advanced Oral Squamous Cellular Carcinoma
by Fangxing Zhu, Xinyu Zhou, Yiyi Zhang, Zhihang Zhou, Yingying Huang, Laiping Zhong, Tongchao Zhao and Wenjun Yang
Cancers 2024, 16(15), 2707; https://doi.org/10.3390/cancers16152707 - 30 Jul 2024
Viewed by 842
Abstract
Background: This study aimed to evaluate the derived neutrophil to lymphocyte ratio (dNLR) in predicting the prognosis of patients with locally advanced oral squamous cell carcinoma (LAOSCC) and to assess the survival benefits from docetaxel, cisplatin, and 5-fluorouracil (5-FU) (TPF) induction chemotherapy (IC). [...] Read more.
Background: This study aimed to evaluate the derived neutrophil to lymphocyte ratio (dNLR) in predicting the prognosis of patients with locally advanced oral squamous cell carcinoma (LAOSCC) and to assess the survival benefits from docetaxel, cisplatin, and 5-fluorouracil (5-FU) (TPF) induction chemotherapy (IC). Methods: Patients from a phase III trial involving TPF IC in stage III/IVA OSCC patients (NCT01542931) were enrolled. Receiver operating characteristic curves were constructed, and the area under the curve was computed to determine dNLR cutoff points. Kaplan–Meier survival estimates and Cox proportional hazards models were used for longitudinal analysis. Results: A total of 224 patients were identified (median age: 55.4 years; range: 26 to 75 years; median follow-up: 90 months; range: 3.2 to 93 months). The cutoff point for the dNLR was 1.555. Multivariate analysis showed that the dNLR was an independent negative predictive factor for survival (overall survival (OS): hazard ratio (HR) = 1.154, 95% confidence interval (CI): 1.018–1.309, p = 0.025; disease-free survival (DFS): HR = 1.123, 95% CI: 1.000–1.260, p = 0.050; local recurrence-free survival (LRFS): HR = 1.134, 95% CI: 1.002–1.283, p = 0.047; distant metastasis-free survival (DMFS): HR = 1.146, 95% CI: 1.010–1.300, p = 0.035). A low dNLR combined with cTNM stage III disease predicted benefit from TPF IC for the patients [OS (χ2 = 4.674, p = 0.031), DFS (χ2 = 7.134, p = 0.008), LRFS (χ2 = 5.937, p = 0.015), and DMFS (χ2 = 4.832, p = 0.028)]. Conclusions: The dNLR is an independent negative predictive factor in LAOSCC patients. Patients with cTNM stage III disease and a low dNLR can benefit from TPF IC. Full article
(This article belongs to the Special Issue Advancements in Head and Neck Cancer Surgery)
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