Factors influencing the distribution of metastases and survival in metastatic breast carcinoma
Factors influencing the distribution of metastases and survival in metastatic breast carcinoma
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DOI：
10.1097/00000421-199612000-00007
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发表时间：
1996-12-01
影响因子：
2.6
通讯作者：
Firat, D
中科院分区：
文献类型：
--
作者：
Barista, I;Baltali, E;Firat, D
本文对1980 ~ 1991年间在Hacettepe肿瘤科随访的370例转移性乳腺癌患者进行回顾性分析，探讨影响转移分布和生存的因素。中位年龄为47岁。根治性或改良根治性乳房切除术199例（53.8%）。浸润性导管癌是最常见的病理类型（69.4%）。在191例接受雌激素受体（ER）状态评估的患者中，101例（52.9%）为阳性，90例（47.1%）为阴性。软组织、骨和内脏部位之间首次转移的分布没有差异。第2、3、4次转移多见于内脏部位（p < 0.05）。ER和绝经状态不影响分布。首次骨转移组的死亡率明显低于首次骨转移组（P < 0.05）。值得注意的是，在根治性或改良根治性乳房切除术的患者中，首次转移主要见于内脏部位（p < 0.05）。单因素分析显示，对治疗的反应、有无初发转移、腋窝状态和年龄是影响总生存率的重要因素;多因素分析显示，对治疗的反应、ER状态、年龄和有无初发转移是影响总生存率的重要因素。
A total of 370 patients with metastatic breast carcinoma who had been followed at Hacettepe Oncology Department between 1980 and 1991 were retrospectively analyzed for the factors influencing the distribution of metastases and survival. Median age was 47 years. Radical or modified radical mastectomies were performed in 199 (53.8%). Infiltrative ductal carcinoma was the most common pathologic subtype (69.4%). In 191 patients who were evaluated for estrogen receptor (ER) status, 101 (52.9%) were positive and 90 (47.1%) were negative. The distribution of first metastases did not differ between the soft tissue, bone, and visceral sites. The second, third, and fourth metastases were more common in visceral sites (p < 0.05). ER and menopausal status did not affect distribution. Mortality rate was significantly lower in the group having the first metastasis to the bone (p < 0.05). Of interest, first metastases were predominantly found in visceral sites in patients having radical or modified radical mastectomies (p < 0.05). Response to therapy, presence of initial metastases, axillary status, and age were the important factors influencing the overall survival in univariate analysis, whereas response to therapy, ER status, age, and presence of initial metastases were the important factors according to the multivariate analysis.