腮腺恶性肿瘤的预后指标。

G Harbo, T Bundgaard, D Pedersen, H Søgaard, J Overgaard
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引用次数: 56

摘要

恶性腮腺肿瘤的最佳治疗方法仍有待确定,需要更好地了解预测治疗结果的肿瘤特征。腮腺肿瘤的组织学分类由于其形态的多样性而存在困难。对152例腮腺恶性肿瘤患者的预后因素和治疗结果进行了为期25年的研究。治疗包括手术、放射治疗或联合治疗(分别为49%、13%和38%)。粗5年生存率为50%,与分期相关有显著差异(一期,65%;第二阶段,50%;III期21%;IV期占9%)。在组织病理学方面,腺样囊性癌和腺泡细胞癌的预后最好(5年粗生存率分别为76%和67%,10年粗生存率分别为53%和67%)。高/中分化和低分化肿瘤的粗生存率差异有统计学意义(P = 0.007)。在一项包括136例患者并以癌症死亡为终点的Cox风险回归分析中,以下参数是独立的预后预测因素:t分类(P = 0.002)、m分类(P < 0.0001)、N分类(N+ vs . N0) (P = 0.005)、局部侵袭(P = 0.003)和肿瘤的组织学分化(P = 0.03)。TNM系统是恶性腮腺肿瘤治疗结果的良好预测指标。结合临床和组织学因素的使用将有助于设计腮腺肿瘤的治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic indicators for malignant tumours of the parotid gland.

The best treatment of malignant parotid tumours still remains to be defined, and a better knowledge about the tumour features that predict the treatment result is needed. The histological classification of parotid tumours may present difficulties on account of their great morphological diversity. In a series of 152 patients with a malignant tumour of the parotid gland, the prognostic factors and treatment results were investigated over a 25-year period. Treatment consisted of surgery, radiation therapy or a combination (49%, 13% and 38% respectively). Crude 5-year survival was 50% with significant differences related to stage (stage I, 65%; stage II, 50%; stage III, 21%; and stage IV, 9%). With respect to histopathology, the adenoid cystic carcinomas and the acinic cell carcinomas had the best prognosis (76% and 67% 5-year crude survival and 53% and 67% 10-year crude survival respectively). There was a significant difference in crude survival between well/intermediate and poorly differentiated tumours (P = 0.007). In a Cox hazard regression analysis including 136 patients and using death from cancer as the end-point, the following parameters were independent prognostic predictors: T-classification (P = 0.002), M-classification (P < 0.0001), N-classification (N+versus N0) (P = 0.005), local invasion (P = 0.003) and histological differentiation of the tumour (P = 0.03). The TNM system is a good predictor of treatment outcome for malignant parotid tumours. The use of a combination of clinical and histological factors will assist the design of treatment strategies for parotid gland tumours.

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