PRETREATMENT PROGNOSTIC FACTORS IN PATIENTS WITH STAGE-III NON-SMALL-CELL LUNG-CANCER TREATED WITH HYPERFRACTIONATED RADIATION-THERAPY WITH OR WITHOUT CONCURRENT CHEMOTHERAPY

被引:27
作者
JEREMIC, B
SHIBAMOTO, Y
机构
[1] KYOTO UNIV, CHEST DIS RES INST, DEPT ONCOL, KYOTO 60601, JAPAN
[2] UNIV HOSP KRAGUJEVAC, DEPT ONCOL, KRAGUJEVAC, YUGOSLAVIA
关键词
NON-SMALL CELL LUNG CANCER; PROGNOSTIC FACTOR; HYPERFRACTIONATED RADIATION THERAPY; CHEMOTHERAPY;
D O I
10.1016/0169-5002(95)00480-O
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
We analyzed prognostic factors for non-small cell lung cancer (NSCLC) treated with hyperfractionated radiotherapy (HFX RT) with or without concurrent chemotherapy. One-hundred sixty-nine patients with histologically or cytologically proven, Stage III NSCLC, Karnofsky performance status (KPS) greater than or equal to 50, and no previous therapy were treated in a randomized trial as follows: Group 1 - HFX RT to a total dose of 64.8 Gy (61 patients); Group 2 - the same HFX RT with chemotherapy consisting of 100 mg of carboplatin on days 1 and 2 and 100 mg of etoposide on days 1-3 of each week during the RT course (52 patients); and Group 3 - the same HFX RT with chemotherapy consisting of 200 mg of carboplatin on days 1 and 2 and 100 mg of etoposide on days 1-5 of the first, third, and fifth weeks of the RT course (56 patients). The median survival time for all 169 patients was 13 months and the 5-year survival rate was 13.4%. The median time to relapse (local or distant) was 11 months and the 5-year relapse-free survival was 12.8%, Group 2 patients had a better prognosis than Group 1 patients (P = 0.0028); but there were no differences in prognosis between Groups 2 and 3 and between Groups 1 and 3. Of potential prognostic factors examined, female gender (P = 0.00012), age greater than or equal to 60 (P = 0.00000), KPS greater than or equal to 80 (P = 0.00000), Stage IIIA (P = 0.00000), and previous weight loss less than or equal to 5% (P = 0.00000) were associated with better prognosis. These findings were confirmed by multivariate analysis.
引用
收藏
页码:21 / 30
页数:10
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