FACTORS INFLUENCING COMPLETE RESPONSE AND SURVIVAL IN PATIENTS WITH HEAD AND NECK-CANCER TREATED WITH PLATINUM-BASED INDUCTION CHEMOTHERAPY - A HELLENIC COOPERATIVE ONCOLOGY GROUP-STUDY

FACTORS INFLUENCING COMPLETE RESPONSE AND SURVIVAL IN PATIENTS WITH HEAD AND NECK-CANCER TREATED WITH PLATINUM-BASED INDUCTION CHEMOTHERAPY - A HELLENIC COOPERATIVE ONCOLOGY GROUP-STUDY
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DOI:
10.1093/oxfordjournals.annonc.a058260
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发表时间:
1992-07-01
期刊:
影响因子:
50.5
通讯作者:
DANIILIDIS, J
DANIILIDIS, J
中科院分区:
医学1区
文献类型:
--
作者:
FOUNTZILAS, G;KOSMIDIS, P;DANIILIDIS, J

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1984年8月至1989年8月,连续115例局部晚期头颈癌患者接受了3个周期的两种铂类诱导化疗,随后进行局部治疗。化疗结束后,26例(23%)患者完全缓解(CR)。分析了几个治疗前特征与CR、诱导化疗和生存率的可能相关性。性别、吸烟史、饮酒史、组织学类型、肿瘤部位和肿瘤分级与肿瘤的发生密切相关。肿瘤分期、无吸烟史与CR相关。与生存率相关的变量有角化、化疗CR、酗酒、组织学类型、原发肿瘤的部位和级别、血清白蛋白水平和肿瘤分期。在考克斯模型后进行回归分析,以确定有限的预测因素集,选择CR、血清白蛋白、肿瘤分级、体能状态和淋巴结状态作为最显著的预测因素;当分析无时间依赖性变量CR的数据时,模型选择的因素为血清白蛋白、肿瘤分级、体能状态和肿瘤分期。总之,治疗前的血清白蛋白水平、肿瘤分级、体能状态和肿瘤分期可用于确定我们患者人群的风险类别。
One hundred fifteen consecutive patients with locally advanced carcinoma of the head and neck were treated between August 1984 and August 1989 with three cycles of either of two platinum-based induction chemotherapies, followed by local treatment. After the completion of chemotherapy 26 (23%) patients had complete responses (CR). Several pre-treatment characteristics were analyzed for a possible correlation to CR to induction chemotherapy and to survival. The following variables were closely interrelated: sex, history of smoking, alcohol abuse, histologic type, tumor site and grade. Tumor stage and negative history of smoking were correlated with CR. The variables which were individually correlated with survival were keratinization, CR to chemotherapy, alcohol abuse, histologic type, site and grade of the primary tumor, serum albumin level and tumor stage. A regression analysis after Cox's model to identify a limited set of predictors selected CR, serum albumin, tumor grade, performance status and nodal status as the most significant; when analyzing the data without the time-dependent variable CR, the factors selected by the model were serum albumin, tumor grade, performance status and tumor stage. In conclusion, serum albumin level, tumor grade, performance status and tumor stage prior to treatment can be used to define risk classes in our patient population.