Suppr超能文献

早期三阴性乳腺癌的预后因素:来自临床实践的经验和局限。

Prognostic factors in early-stage triple-negative breast cancer: lessons and limits from clinical practice.

机构信息

Department of Medical Oncology, AO Ospedali Riuniti-Ancona, Università Politecnica delle Marche, Ancona, Italy.

出版信息

Anticancer Res. 2013 Jun;33(6):2737-42.

Abstract

AIM

Triple-negative breast cancer has a poor prognosis due to its aggressive behaviour and lack of effective targeted therapies. We aimed to verify whether clinical and/or pathological features may help us identify triple-negative breast cancer with a different outcome.

PATIENTS AND METHODS

Patients diagnosed with stage I-III triple-negative breast cancer at our Institution were included in the analysis. The impact of various factors (age, menopausal status, tumor characteristics, adjuvant treatment, etc.) on survival was evaluated. Univariate and multivariate analyses were performed.

RESULTS

A total of 149 patients were included in this retrospective analysis. At univariate analysis, a better disease-free survival was related to smaller tumour size and absence of lymphovascular involvement or necrosis. At multivariate analysis, tumour size and lympho-vascular invasion were independent prognostic factors.

CONCLUSION

Triple-negative breast cancer represents a heterogeneous disease with different biology and clinical behaviour. These results re-inforce the wide use of adjuvant chemotherapy for all types of triple-negative breast cancer, regardless of tumour size or lymphovascular invasion. New biomarkers are mandatory for a better stratification of this heterogeneous population.

摘要

目的

三阴性乳腺癌因其侵袭性行为和缺乏有效靶向治疗而预后不良。我们旨在验证临床和/或病理特征是否有助于识别具有不同结局的三阴性乳腺癌。

患者和方法

本研究分析了在我院诊断为 I-III 期三阴性乳腺癌的患者。评估了各种因素(年龄、绝经状态、肿瘤特征、辅助治疗等)对生存的影响。进行了单因素和多因素分析。

结果

共有 149 例患者纳入本回顾性分析。单因素分析显示,肿瘤较小、无淋巴管血管侵犯或坏死与无病生存期更好相关。多因素分析显示,肿瘤大小和淋巴管血管侵犯是独立的预后因素。

结论

三阴性乳腺癌是一种具有不同生物学和临床行为的异质性疾病。这些结果支持对所有类型的三阴性乳腺癌均使用辅助化疗,无论肿瘤大小或淋巴管血管侵犯情况如何。需要新的生物标志物来更好地对这种异质性人群进行分层。

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