Predictors of cervical lymph node metastasis in salivary gland cancer.

Head & Neck Pub Date : 2014-04-01 Epub Date: 2013-06-18 DOI:10.1002/hed.23332
Tobias Ettl, Martin Gosau, Gero Brockhoff, Stephan Schwarz-Furlan, Abbas Agaimy, Torsten E Reichert, Christian Rohrmeier, Johannes Zenk, Heinrich Iro
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引用次数: 47

Abstract

Background: This study compares clinicopathological parameters with novel molecular markers for predicting cervical lymph node metastasis in salivary gland cancer.

Methods: Three hundred sixteen salivary gland carcinomas were included in this study. Genomic epidermal growth factor receptor (EGFR), human epidermal growth factor receptor 2 (HER2), phosphatase and tensin homolog (PTEN), and hepatocyte growth factor receptor (MET) was determined by fluorescence in situ hybridization (FISH). Chi-square tests, multivariate regression, and Kaplan-Meier survival analysis were used for statistics.

Results: Nodal staging determines long-term survival. Clinicopathological parameters associated with positive neck nodes are advanced age (p = .006), T3/T4 classification, histological high-grade malignancy, and diagnosis of salivary duct carcinoma (p < .001 each). Neck node metastases also correlate with copy number gain of EGFR (p = .004) and HER2, aberration of MET, and deletion of PTEN (p < .001 each). Multivariate analysis showed SDC (p = .002) to be the strongest predictor of lymph node metastasis, followed by MET aberration (p = .009), T3/T4 classification (p = .017), PTEN deletion (p = .042), and adenocarcinoma not otherwise specified (NOS; p = .047).

Conclusion: The histological subtype is crucial for decisions regarding neck dissection. New molecular parameters may also indicate elective treatment of the neck.

涎腺癌颈部淋巴结转移的预测因素。
背景:本研究比较临床病理参数与预测涎腺癌颈部淋巴结转移的新型分子标志物。方法:316例唾液腺癌纳入本研究。采用荧光原位杂交(FISH)技术检测基因组表皮生长因子受体(EGFR)、人表皮生长因子受体2 (HER2)、磷酸酶和紧张素同源物(PTEN)和肝细胞生长因子受体(MET)。统计学采用卡方检验、多元回归和Kaplan-Meier生存分析。结果:淋巴结分期决定长期生存。与淋巴结阳性相关的临床病理参数为高龄(p = 0.006)、T3/T4分型、组织学高度恶性、涎腺管癌诊断(p < 0.001)。颈结转移也与EGFR拷贝数增加(p = 0.004)和HER2拷贝数增加、MET畸变和PTEN缺失相关(p < 0.001)。多因素分析显示,SDC (p = 0.002)是淋巴结转移的最强预测因子,其次是MET异常(p = 0.009)、T3/T4分型(p = 0.017)、PTEN缺失(p = 0.042)和非特异性腺癌(NOS;P = .047)。结论:组织学亚型是决定是否进行颈部清扫的关键因素。新的分子参数也可能提示颈部的选择性治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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