The prognostic value of thyroid gland invasion in locally advanced laryngeal cancers

Abstract

Background

Locally advanced laryngeal cancers can spread to the thyroid gland by direct invasion of cricothyroid membrane. The prevalence of thyroid gland invasion (TGI) and the predictive factors of TGI were well described in literature. However, the association of TGI with survival was undetermined yet.

Objectives

The aim of this study is to analyze the effects of TGI on survival rates in patients with locally advanced laryngeal cancer.

Materials and methods

Medical records of 91 patients who underwent total laryngectomy with thyroidectomy were retrospectively reviewed. Demographical, clinical, and histopathological characteristics of the patients were noted. Kaplan-Meier test was used for survival analysis.

Results

Histopathology reports revealed the prevalence of TGI as 14.3% (13/91). Survival analyses showed that TGI did not affect recurrence free (p = .078) and overall (p = .080) survival rates.

Conclusions

Thyroid gland invasion is one of the characteristic features of locally aggressive laryngeal tumors. In this study, TGI is not a statistically significant prognostic factor that has impact on survival of the patients with locally advanced laryngeal cancer.

Chinese abstract

背景：局部晚期喉癌可通过直接侵袭环甲膜而扩散到甲状腺。甲状腺侵袭（TGI）的患病率及其预测因素在文献中有很好的描述。然而, TGI 与生存的关系尚未确定。

目的：本研究的目的是分析 TGI 对局部晚期喉癌患者生存率的影响。。

材料与方法：回顾性分析91例行全喉切除术和甲状腺切除术的患者的病历。获得病人的人口统计学、临床和组织病理学特征。 用Kaplan-Meier 检验进行生存分析。

结果：组织病理学报告显示 TGI 的患病率为 14.3% (13/91)。生存分析表明 TGI 不影响无复发 率(p ¼ .078) 和总体 (p ¼ .080) 存活率。

结论：甲状腺侵袭是局部晚期咽喉肿瘤的特征之一。此研究表明, 对于局部晚期喉癌患者, TGI 不是一个具有统计学意义的影响生存的预后因素。

Keywords:

• Laryngeal neoplasms
• laryngectomy
• hypothyroidism
• thyroidectomy

Ethical approval

This work described has been carried out in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments involving humans. Ethical committee approval was obtained from XXX University Ethics Committee of Local Council with decision number of ‘2020-14/14’.

Acknowledgments

The authors would like to gratefully thank Dr Ilker Ercan, Prof, Department of Biostatistics, Faculty of Medicine, Uludağ University, Görükle, Bursa, Turkey (E-mail: [email protected]) for his contribution to performing the statistical analysis and interpretation of the results. The authors received no financial support for the research, authorship or publication of this article.

Disclosure statement

No potential conflict of interest was reported by the author(s).