已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Absence of estrogen receptor is associated with worse oncologic outcome in patients who were received neoadjuvant chemotherapy for breast cancer

作者
Young Ryul Park,Jeeyeon Lee,Jin Hyang Jung,Wan Wook Kim,Chan Sub Park,Ryu Kyung Lee,Yee Soo Chae,Soo Jung Lee,Ji Young Park,Jee Young Park,Ho Yong Park
出处
期刊:Asian Journal of Surgery [Elsevier BV]
卷期号:43 (3): 467-475 被引量:8
标识
DOI:10.1016/j.asjsur.2019.05.010
摘要

BACKGROUND/OBJECTIVE: Neoadjuvant chemotherapy (NAC) is a standard treatment for locally advanced breast cancer, especially for HER2-positive or triple negative breast cancer which shows good response to chemotherapy. However, because a result of biomarkers is, occasionally, changed after NAC, the treatment strategy should be differently applied for patients with locally advanced breast cancer. We compared the results of biomarkers before and after NAC to evaluate the association with disease prognosis and oncologic results. METHODS: Fifty-seven patients with locally advanced breast cancer underwent NAC and the immunohistochemical (IHC) staining results were compared between before and after NAC. And the association between oncologic outcomes and biomarkers was analyzed. RESULTS: Negative status of estrogen receptor (ER) was associated with locoregional recurrence and distant metastasis both before and after NAC (p = 0.021, 0.019; p = 0.018, 0.036). And the negative status of progesterone receptor (PR) and triple negative status before neoadjuvant chemotherapy were also associated with death and distant metastasis, respectively. However, the changes of biomarkers after NAC in breast cancer were not directly associated with any oncologic outcomes. CONCLUSION: The absence of ER in breast cancer before and after NAC would be a significant prognostic factor for local recurrence and distant metastasis. Therefore, the absence of ER should be considered as important factor in determining the treatment strategy.

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
1秒前
希望天下0贩的0应助HQQ采纳,获得10
2秒前
伶俐初蓝完成签到 ,获得积分10
2秒前
邓雅文给邓雅文的求助进行了留言
3秒前
VV2001发布了新的文献求助10
3秒前
xiaoqi完成签到,获得积分10
3秒前
李爱国应助粗犷的凡儿采纳,获得10
4秒前
5秒前
ichi发布了新的文献求助30
5秒前
今后应助可闲采纳,获得10
5秒前
年轻元冬发布了新的文献求助10
6秒前
核桃仁完成签到,获得积分10
7秒前
7秒前
9秒前
一介书生应助Leo采纳,获得10
9秒前
wkh发布了新的文献求助10
10秒前
尊敬的晓绿完成签到 ,获得积分10
11秒前
tyughi完成签到,获得积分10
12秒前
打打应助小鱼丸采纳,获得10
12秒前
12秒前
哈哈发布了新的文献求助10
13秒前
ding应助Joyi采纳,获得10
13秒前
Orange应助Siriya采纳,获得10
14秒前
xjz完成签到 ,获得积分10
14秒前
ichi完成签到,获得积分20
14秒前
14秒前
14秒前
16秒前
大头头不大完成签到 ,获得积分10
16秒前
jia完成签到,获得积分10
17秒前
17秒前
kunnao完成签到,获得积分10
17秒前
jjqzju完成签到,获得积分10
17秒前
勤奋梨愁完成签到,获得积分10
18秒前
18秒前
20秒前
张文博完成签到,获得积分10
20秒前
21秒前
曾经的秋寒完成签到,获得积分10
21秒前
歪比巴卜发布了新的文献求助80
22秒前
高分求助中
(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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 7625635
求助须知:如何正确求助?哪些是违规求助? 9200593
关于积分的说明 19726579
捐赠科研通 7196608
什么是DOI,文献DOI怎么找? 3273723
关于科研通互助平台的介绍 2435892
邀请新用户注册赠送积分活动 2269661