The prognostic value of clinical and pathologic features in nonmetastatic operable male breast cancer.

The prognostic value of clinical and pathologic features in nonmetastatic operable male breast cancer.
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非转移性可手术男性乳腺癌临床和病理特征的预后价值

DOI:
10.4103/1008-682x.154992
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发表时间:
2016-01
影响因子:
2.9
通讯作者:
Gu L
Gu L
中科院分区:
医学2区
文献类型:
--
作者:
Sun B;Zhang LN;Zhang J;Zhang N;Gu L

文献摘要

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与女性乳腺癌相比,男性乳腺癌是一种罕见疾病,其临床病理特征与预后的关系一直存在争议,甚至鲜为人知。本研究对天津医科大学肿瘤研究所和医院1996年1月至2011年12月收治的109例非转移性可手术男性乳腺癌患者的临床和病理资料进行了回顾性分析。单因素分析显示,肿瘤分期低、无淋巴结转移、雌孕激素受体状态阳性是无病生存期和总生存期的良好预测因子。然而,激素治疗只是无病生存的一个很好的预测因素,而不是总的生存。此外,基于Cox比例风险回归模型,在多因素分析中,只有淋巴转移和雌孕激素受体状态是有统计学意义的预测因素。我们的结果表明,尽管在过去的几十年里,辅助系统治疗在男性乳腺癌患者中得到了广泛的应用,预后也有所改善,但淋巴转移和雌激素/孕激素受体状态仍然是最重要的预后因素。为了进一步了解男性乳腺癌,迫切需要一项样本量更大的前瞻性多中心研究。
Compared with female breast cancer, male breast cancer is a rare disease, and the relationship between clinical/pathologic features and prognosis is controversial, or even largely unknown. In this study, we performed a retrospective analysis using clinical and pathologic data from 109 nonmetastatic operable male breast cancer patients treated from January 1996 to December 2011 at Tianjin Medical University Cancer Institute and Hospital. Log-rank test showed that lower tumor stage, no lymph node involvement, and positive estrogen/progesterone receptor status were good predictors of both disease-free survival and overall survival on univariate analysis. However, hormonotherapy is only a good predictive factor of disease-free survival, and not of overall survival. In addition, based on a Cox proportional hazard regression model, only lymph node involvement, and estrogen/progesterone receptor status were statistically significant predictive factors on multivariate analysis. Our results demonstrated that although adjuvant systemic therapy is used extensively in male breast cancer patients and prognosis has improved over the last few decades, lymph node involvement, and estrogen/progesterone receptor status are still the most important prognostic factors. A prospective multi-center study with a larger sample size is urgently needed to further understand male breast cancer.