Suppr超能文献

血清N-乙酰神经氨酸对恶性黑色素瘤复发的预测

Prediction of malignant melanoma recurrence by serum N-acetylneuraminic acid.

作者信息

Silver H K, Murray R N, Worth A J, Salinas F A, Spinelli J J

出版信息

Int J Cancer. 1983 Jan 15;31(1):39-43. doi: 10.1002/ijc.2910310107.

Abstract

Since serum N-acetylneuraminic acid (NANA) can serve as a relatively sensitive monitor of tumor burden, we wished to examine the relationship of NANA to other suggested prognostic factors for malignant melanoma. Eligible patients included 151 patients with stage-I disease and 10 with stage-II regional lymphatic extension. A proportional hazards model was used to examine nine factors, of which five were not significant predictors of recurrence: age, sex, primary site, tumor diameter, and stage. Significant predictors included: measured depth p = 7 X 10(-7); anatomic depth (Clark level), p = 7 X 10(-6); NANA, p = 0.003; and growth pattern (superficial spreading vs nodular), p = 0.01. However, on multivariate analysis only two predictors were independent; measured depth and NANA. The latter could not be explained by non-specific factors. The data were examined to define optimal test values for assignment of risk. According to this model, patients with lesions greater than 1.75 mm and NANA less than 2 mumol/ml have a more than 12-fold greater risk of recurrence by 2 years than those with lesions less than or equal to 1.75 mm and NANA less than or equal to 2 mumol/ml.

摘要

由于血清N-乙酰神经氨酸(NANA)可作为肿瘤负荷的相对敏感监测指标,我们希望研究NANA与其他已提出的恶性黑色素瘤预后因素之间的关系。符合条件的患者包括151例I期疾病患者和10例II期区域淋巴结转移患者。采用比例风险模型研究九个因素,其中五个不是复发的显著预测因素:年龄、性别、原发部位、肿瘤直径和分期。显著的预测因素包括:测量深度p = 7×10⁻⁷;解剖深度(克拉克分级),p = 7×10⁻⁶;NANA,p = 0.003;以及生长模式(浅表扩散型与结节型),p = 0.01。然而,多变量分析显示只有两个预测因素是独立的;测量深度和NANA。后者无法用非特异性因素解释。对数据进行检查以确定风险分配的最佳测试值。根据该模型,病变大于1.75 mm且NANA小于2 μmol/ml的患者在2年内复发风险比病变小于或等于1.75 mm且NANA小于或等于2 μmol/ml的患者高12倍以上。

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