Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma

细胞角蛋白 组织微阵列 免疫组织化学 基础(医学) 乳腺癌 病理 乳腺癌 雌激素受体 生物 雌激素 肿瘤科 内科学 医学 癌症 内分泌学 胰岛素
作者
Torsten O. Nielsen,Forrest D. Hsu,Kristin C. Jensen,Maggie C.U. Cheang,Gamze Karaca,Zhiyuan Hu,Tina Hernandez‐Boussard,Chad Livasy,Dave Cowan,Lynn G. Dressler,Lars A. Akslen,Joseph Ragaz,Allen M. Gown,C. Blake Gilks,Matt van de Rijn,Charles M. Perou
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:10 (16): 5367-5374 被引量:2639
标识
DOI:10.1158/1078-0432.ccr-04-0220
摘要

Abstract Purpose: Expression profiling studies classified breast carcinomas into estrogen receptor (ER)+/luminal, normal breast-like, HER2 overexpressing, and basal-like groups, with the latter two associated with poor outcomes. Currently, there exist clinical assays that identify ER+/luminal and HER2-overexpressing tumors, and we sought to develop a clinical assay for breast basal-like tumors. Experimental Design: To identify an immunohistochemical profile for breast basal-like tumors, we collected a series of known basal-like tumors and tested them for protein patterns that are characteristic of this subtype. Next, we examined the significance of these protein patterns using tissue microarrays and evaluated the prognostic significance of these findings. Results: Using a panel of 21 basal-like tumors, which was determined using gene expression profiles, we saw that this subtype was typically immunohistochemically negative for estrogen receptor and HER2 but positive for basal cytokeratins, HER1, and/or c-KIT. Using breast carcinoma tissue microarrays representing 930 patients with 17.4-year mean follow-up, basal cytokeratin expression was associated with low disease-specific survival. HER1 expression was observed in 54% of cases positive for basal cytokeratins (versus 11% of negative cases) and was associated with poor survival independent of nodal status and size. c-KIT expression was more common in basal-like tumors than in other breast cancers but did not influence prognosis. Conclusions: A panel of four antibodies (ER, HER1, HER2, and cytokeratin 5/6) can accurately identify basal-like tumors using standard available clinical tools and shows high specificity. These studies show that many basal-like tumors express HER1, which suggests candidate drugs for evaluation in these patients.
最长约 10秒,即可获得该文献文件

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
岩鹰完成签到,获得积分10
1秒前
1秒前
CCSAN33发布了新的文献求助10
1秒前
3秒前
minl完成签到 ,获得积分10
3秒前
Lucas应助诚心小土豆采纳,获得10
4秒前
共享精神应助Zoe采纳,获得10
4秒前
xiaohan,JIA完成签到,获得积分10
4秒前
北月完成签到 ,获得积分10
5秒前
丘比特应助一直采纳,获得10
6秒前
蔺山河完成签到,获得积分10
7秒前
7秒前
花痴的芹菜完成签到,获得积分10
7秒前
CodeCraft应助一粒采纳,获得10
8秒前
唠叨的夏烟完成签到 ,获得积分10
8秒前
小奕完成签到,获得积分10
9秒前
10秒前
felyne应助codemath采纳,获得200
11秒前
朴素易梦完成签到,获得积分10
11秒前
VirgoYn完成签到,获得积分10
12秒前
忐忑的代梅完成签到 ,获得积分10
12秒前
zhaoXIN发布了新的文献求助30
12秒前
搞怪蝴蝶完成签到,获得积分10
12秒前
楼少博发布了新的文献求助10
13秒前
Zoe完成签到,获得积分10
13秒前
初遇之时最暖完成签到,获得积分10
13秒前
武生完成签到,获得积分10
14秒前
cwm完成签到,获得积分10
15秒前
钱学森发布了新的文献求助10
15秒前
孝顺的觅风完成签到 ,获得积分10
15秒前
LYH发布了新的文献求助10
17秒前
17秒前
RJ应助哈理老萝卜采纳,获得50
18秒前
贺呵呵完成签到,获得积分10
18秒前
香蕉觅云应助念芹采纳,获得10
19秒前
windy完成签到,获得积分10
19秒前
披日悬光完成签到,获得积分10
20秒前
小菜在努力了完成签到,获得积分10
20秒前
负责的元容完成签到 ,获得积分10
21秒前
21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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6022368
求助须知:如何正确求助?哪些是违规求助? 7641266
关于积分的说明 16169051
捐赠科研通 5170476
什么是DOI,文献DOI怎么找? 2766754
邀请新用户注册赠送积分活动 1750008
关于科研通互助平台的介绍 1636827