Suppr超能文献

头颈部骨肉瘤:神经周围侵犯与无病生存率和肿瘤转移相关。

Head and Neck Osteosarcoma: Perineural Invasion is Associated With Disease-Free Survival and Tumor Metastasis.

机构信息

Attending, Department of Oral and Maxillofacial- Head and Neck Oncology, Shanghai Stomatology key laboratory, Ninth People's Hospital School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Consultant, Department of ENT and Head Neck Surgery, Apollo Health City, Hyderabad, Telangana, India.

出版信息

J Oral Maxillofac Surg. 2024 Aug;82(8):992-998. doi: 10.1016/j.joms.2024.05.001. Epub 2024 May 7.

Abstract

BACKGROUND

Head and neck osteosarcoma (HNOS) is the most common bone malignancy in the head and neck region, accounting for 10% of all osteosarcoma cases. Perineural invasion (PNI) is a notable indication of aggressive tumor behavior, which includes the phenomenon of tumor cells invading any of the 3 layers of the nerve sheath or tumor cells gathering, encircling one-third of the nerve circumference, and infiltrating and metastasizing along the nerve. PNI has been reported in various malignant tumors and is considered to be linked to poor prognosis.

PURPOSE

The study's purpose is to measure the association between PNI and survival outcomes in patients with HNOS.

STUDY DESIGN, SETTING, SAMPLE: This retrospective cohort study focused on HNOS patients who underwent surgery at the Department of Oral and Maxillofacial Head and Neck Oncology, Shanghai Ninth People's Hospital School of Medicine, Shanghai Jiao Tong University, from January 1, 2019 to December 31, 2021. Patients who did not undergo complete surgical resection of the tumor, did not receive a conventional osteosarcoma diagnosis, and had positive surgical margins were eliminated.

PREDICTOR VARIABLE

The predictor variable is PNI status. The pathological section of the tumor was consistent with any of the PNI features, which was considered PNI-positive.

MAIN OUTCOME VARIABLE(S): The primary outcome variables were 3-year disease-free survival (DFS) and 3-year overall survival. Secondary outcomes were 3-year tumor local recurrence and 3-year metastasis (MT).

COVARIATES

Covariates were categorized into the following categories: demographic variables (age, sex), clinical variables (tumor region, primary tumor), and treatment variables (chemotherapy, radiotherapy).

ANALYSES

Analytic statistical methods were used for the data analysis. Pearson χ or Fisher's exact test was used to describe the baseline data. Kaplan-Meier is used to calculate survival rates. The Cox regression model was adapted for univariate and multivariate analysis. A P value less than .05 indicated statistical significance.

RESULTS

The study sample comprised 70 patients; 33 (47.1%) were male, and the mean age was 42.2 (standard deviation: 16.7) years. There were 15 (21.4%) cases of PNI. The 3-year DSF rate and OS rate were 67.3% and 82.0%, respectively. PNI-positive resulted in higher risk for MT (P < .01, hazard ratio: 5.95, 95% confidence interval: 1.62-21.86) and negative impact on DFS (P < .01, hazard ratio: 6.35, 95% confidence interval: 2.11-19.17) for HNOS patients.

CONCLUSION AND RELEVANCE

Positive PNI status was associated with decreased DFS and increased risk of MT.

摘要

背景

头颈部骨肉瘤(HNOS)是头颈部最常见的骨恶性肿瘤,占所有骨肉瘤病例的 10%。神经周围侵犯(PNI)是一种显著的侵袭性行为表现,包括肿瘤细胞侵犯神经鞘的 3 层中的任何一层,或肿瘤细胞聚集、环绕神经周长的三分之一,并沿神经浸润和转移。PNI 已在各种恶性肿瘤中报道,并被认为与预后不良有关。

目的

本研究旨在测量 PNI 与 HNOS 患者生存结局之间的关联。

研究设计、地点和样本:这项回顾性队列研究集中于在上海交通大学医学院附属第九人民医院口腔颌面头颈肿瘤科接受手术的 HNOS 患者,时间为 2019 年 1 月 1 日至 2021 年 12 月 31 日。未接受肿瘤完全切除术、未接受常规骨肉瘤诊断且切缘阳性的患者被排除在外。

预测变量

预测变量为 PNI 状态。肿瘤的病理切片符合任何 PNI 特征,被认为是 PNI 阳性。

主要结局变量

主要结局变量是 3 年无病生存率(DFS)和 3 年总生存率。次要结局变量是 3 年肿瘤局部复发和 3 年转移(MT)。

协变量

协变量分为以下几类:人口统计学变量(年龄、性别)、临床变量(肿瘤部位、原发性肿瘤)和治疗变量(化疗、放疗)。

分析

使用分析统计方法进行数据分析。使用 Pearson χ 或 Fisher 精确检验描述基线数据。Kaplan-Meier 用于计算生存率。适应 Cox 回归模型进行单变量和多变量分析。P 值小于.05 表示具有统计学意义。

结果

研究样本包括 70 名患者;33 名(47.1%)为男性,平均年龄为 42.2(标准差:16.7)岁。有 15 例(21.4%)存在 PNI。3 年 DFS 率和 OS 率分别为 67.3%和 82.0%。PNI 阳性导致 HNOS 患者 MT 的风险更高(P <.01,风险比:5.95,95%置信区间:1.62-21.86),并对 DFS 产生负面影响(P <.01,风险比:6.35,95%置信区间:2.11-19.17)。

结论和相关性

PNI 阳性与 DFS 降低和 MT 风险增加相关。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验