早期乳腺癌异时转移的预测因素:一项单机构研究

H. Fayed, Mohamed Ali Abdalla Billel, G. Abouelnagah, G. Khedr
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The aim of \nthis study was to determine the association between different \nclinicopathological features and development of metastasis in a group of Egyptian women with early breast cancer, also, to assess patients’ \nRelapse-free survival (DFS) and OS and their correlation with different \nclinicopathological features. Patients and Methods: We retrospectively \nreviewed the files of breast cancer patients who were treated and followed-up at the clinical oncology department \nand surgical oncology unit, Alexandria Main University Hospital during the \nperiod from January 2014 to December 2017. A total of 1848 breast cancer cases \nwere presented during this period of time. \n141 out of the 1848 patients developed metastasis from breast cancer during \nfollow-up. Among the 141 patients, only 102 had adequate clinical, pathological, \ntreatment and follow-up data enough for \nanalysis and were included in our study. 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引用次数: 0

摘要

背景:癌症被认为是全球最常见的癌症女性。主要的临床病理预后因素是肿瘤大小、淋巴结状况和雌孕激素受体状况。此外,一些因素既是预后因素,也是预测因素,如ER/PR受体和HER2/neu过度表达。腋窝淋巴结状况是癌症最重要的预后因素。癌症淋巴结阴性患者的5年总生存率(OS)最高,为82.8%,而1-3、4-12和≥13个淋巴结阳性患者分别为73%、45.7%和28.4%。本研究的目的是确定癌症早期埃及妇女的不同临床病理特征与转移发展之间的关系,并评估患者的无复发生存率(DFS)和OS及其与不同临床病理特点的相关性。患者和方法:我们回顾性回顾了2014年1月至2017年12月期间在亚历山大主要大学医院临床肿瘤科和外科肿瘤科接受治疗和随访的癌症患者的档案。在此期间,共有1848例癌症病例出现。1848名患者中有141名在随访期间发生了乳腺癌症转移。在141名患者中,只有102名患者有足够的临床、病理、治疗和随访数据进行分析,并纳入我们的研究。结果:在研究期间,癌症发生远处转移(异时转移)的患者人数在17-31例/年之间。所有研究患者都有转移性疾病记录,在1848名收集的患者中占102人,约占5.5%。102名研究患者从最初诊断开始发生转移的中位时间为17.88个月。102例中有72例有远处复发。DFS与肿瘤大小、级别、淋巴结数目和激素受体(ER和PR)状态之间存在显著相关性。年龄、肿瘤分级、肿瘤大小和Her2状态对OS有显著影响。结论:原发性肿瘤的临床病理特征对预测癌症早期转移风险和判断预后具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors for Metachronous Metastases in Early Breast Cancer: A Single Institution Study
Background: Breast cancer (BC) is considered the most common women cancer worldwide. The main clinicopathological prognostic factors are tumor size, lymph node status and estrogen/progesterone (ER/PR) receptor status. In addition, some factors are both prognostic and predictive as ER/PR receptors and HER2/neu overexpression. Axillary lymph node status is the most important prognostic factor for breast cancer. Node negative breast cancer patients had the best 5-year overall survival (OS) of 82.8% compared to 73%, 45.7%, and 28.4% for patients with 1 - 3, 4 - 12, and ≥13 positive nodes, respectively. The aim of this study was to determine the association between different clinicopathological features and development of metastasis in a group of Egyptian women with early breast cancer, also, to assess patients’ Relapse-free survival (DFS) and OS and their correlation with different clinicopathological features. Patients and Methods: We retrospectively reviewed the files of breast cancer patients who were treated and followed-up at the clinical oncology department and surgical oncology unit, Alexandria Main University Hospital during the period from January 2014 to December 2017. A total of 1848 breast cancer cases were presented during this period of time. 141 out of the 1848 patients developed metastasis from breast cancer during follow-up. Among the 141 patients, only 102 had adequate clinical, pathological, treatment and follow-up data enough for analysis and were included in our study. Results: The number of patients who developed distant metastasis from breast cancer during the study period (metachronous metastasis) ranges from 17 - 31 cases/year. All the study patients had documented metastatic disease constituting 102 out of 1848 collected patients representing about 5.5%. The median time for development of metastasis from the initial diagnosis among the 102 studied patients was 17.88 months. Seventy-two out of 102 cases had distant recurrence. There was a significant correlation between DFS and tumor size, grade, number of lymph nodes involved and hormone receptor (ER and PR) status. Age, tumor grade, tumor size and Her2 status had a significant impact on the OS. Conclusion: The clinicopathological characteristics of the primary tumor are important for predicting the risk of metastasis among early breast cancer patients and determining their prognosis.
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