Prolonged Survival of Patients Receiving Trastuzumab beyond Disease Progression for HER2 Overexpressing Metastatic Breast Cancer (MBC)

作者
Hans‐Joachim Stemmler,Steffen Kahlert,Wolfgang Siekiera,Michael Untch,Bernhard Heinrich,Volker Heinemann
出处
期刊:Oncology Research and Treatment [Karger Publishers]
卷期号:28 (11): 582-586 被引量:61
标识
DOI:10.1159/000088296
摘要

BACKGROUND: The aim of this retrospective analysis was to evaluate the impact of trastuzumab-based regimens on the survival of patients with HER2-overexpressing metastatic breast cancer (MBC). The study specifically focussed on the influence of the continuation of trastuzumab-based treatment despite tumor progression on survival. PATIENTS AND METHODS: Patients with HER2 overexpressing MBC were included in this retrospective analysis. HER2 overexpression was determined by the immunohistochemical staining score (DAKO Hercep Test). Trastuzumab was applied at a loading dose of 4 mg/kg and a maintenance dose of 2 mg/kg. RESULTS: Among 136 HER2 overexpressing patients (DAKO score 3+), 66 patients received first-line trastuzumab, 47 patients received trastuzumab as second-line therapy and 23 patients received trastuzumab beyond disease progression. There was no significant difference regarding the duration of trastuzumab-based treatment (first-line: 29.5 weeks vs. second-line: 25 weeks). Moreover, there was no difference in the response rate (first-line: 37.9% vs. second-line: 35.7%) or the median survival (p = 0.47 log rank). Patients who received = 2 trastuzumab-based regimens for MBC survived significantly longer compared to those who had received only 1 regimen (= 2 regimens: 62.4 months vs. 1 regimen: 38.5 months; p = 0.01 log rank). CONCLUSIONS: Trastuzumab is highly effective in the treatment of HER2 overexpressing MBC. Compared to historical controls, overall survival appears to be markedly prolonged, particularly in patients who received sequential trastuzumab-based treatment beyond disease progression.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
今后应助墨竹采纳,获得10
刚刚
刚刚
3秒前
充电宝应助annie123采纳,获得10
4秒前
雪白的小土豆完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
坚持是一种品格完成签到,获得积分10
5秒前
什么呀发布了新的文献求助10
6秒前
lee完成签到,获得积分10
6秒前
7秒前
7秒前
10秒前
momo发布了新的文献求助10
10秒前
无糖果粒橙应助完美芹采纳,获得10
10秒前
11秒前
14秒前
15秒前
15秒前
16秒前
orixero应助lxx采纳,获得10
17秒前
一个打不死蚊子的可怜人完成签到 ,获得积分10
18秒前
18秒前
19秒前
折颜完成签到,获得积分10
19秒前
David_C完成签到,获得积分10
19秒前
momo完成签到,获得积分10
20秒前
21秒前
21秒前
22秒前
咿呀发布了新的文献求助10
23秒前
定态的猫完成签到,获得积分10
24秒前
海峰荣完成签到,获得积分10
25秒前
HalfGumps发布了新的文献求助10
25秒前
25秒前
呆萌映寒发布了新的文献求助10
26秒前
NexusExplorer应助成功的院士采纳,获得10
26秒前
molihuakai应助成功的院士采纳,获得10
26秒前
大个应助成功的院士采纳,获得10
26秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583974
求助须知:如何正确求助?哪些是违规求助? 9162735
关于积分的说明 19607753
捐赠科研通 7165896
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431292
邀请新用户注册赠送积分活动 2257894