Overexpression of HMGA2 as a prognostic indicator in breast cancer.

医学 HMGA2型 乳腺癌 内科学 肿瘤科 比例危险模型 危险系数 阶段(地层学) 癌症 免疫组织化学 生存分析 基因 生物 小RNA 置信区间 生物化学 古生物学
作者
Xiaochen Wang
出处
期刊:Journal of Clinical Oncology [American Society of Clinical Oncology]
卷期号:34 (15_suppl): 10091-10091 被引量:1
标识
DOI:10.1200/jco.2016.34.15_suppl.10091
摘要

10091 Background: As a non-histone chromosomal protein, high mobility group AT-hook 2 (HMGA2) is involved in a wide spectrum of biological processes, and is upregulated in a variety of tumors. However, no detailed studies have examined the association between HMGA2 protein level and the prognosis of breast cancer (BC) patients. Here, we aimed to explore whether the levels of HMGA2 could predict prognosis for BC patients. Methods: We collected 273 BC specimens from the Second Affiliated Hospital of Zhejiang University (ZJU) as a training set. 310 specimens from the National Engineering Center for Biochip at Shanghai (SBC) were served as a validatory set to examine the expression of HMGA2 by immunohistochemical stainings. The Kaplan–Meier analysis and COX proportional hazard model were employed to analyze the survival rate. Results: We found that HMGA2 expression was significantly positive correlated with advanced tumor grade (p< 0.05) and poor survival of BC patients. The adjusted HRs for overall survival were 4.24, (95% CI: 1.17-15.37) and 2.06, (95% CI: 1.21-3.49) in training and validation sets, respectively. Subgroup analysis indicated that high level of HMGA2 was significantly correlated to poor prognosis, especially in the subgroups of advanced clinical stage (HR: 2.06, 95% CI: 1.14-3.72), low pathological grade (HR: 7.28, 95% CI: 1.57-33.83) and non-triple negative breast cancer cases (HR: 2.19, 95% CI: 1.22-3.91). Gene set enrichment analysis (GSEA) demonstrated a significant positive correlation between HMGA2 level and the gene expression signature of metaplastic and mesenchymal phenotype (p< 0.05). Conclusions: Expression of HMGA2 may indicate more advanced malignancy of breast cancer. Thus we believe HMGA2 could serve as a biomarker of poor prognosis and a novel target in treating BC tumors.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
量子星尘发布了新的文献求助10
刚刚
彭彭完成签到,获得积分10
刚刚
lilei发布了新的文献求助10
刚刚
骆丹妗发布了新的文献求助10
刚刚
1秒前
五月初夏发布了新的文献求助10
1秒前
sube完成签到,获得积分10
1秒前
1秒前
yang完成签到,获得积分10
1秒前
高高的以山完成签到 ,获得积分10
2秒前
别光给我发综述完成签到,获得积分10
2秒前
3秒前
天才完成签到 ,获得积分10
3秒前
谁又动了我的液相完成签到,获得积分20
4秒前
DDU发布了新的文献求助10
4秒前
4秒前
5秒前
执着睫毛完成签到,获得积分10
5秒前
5秒前
机灵千萍完成签到,获得积分10
6秒前
XXX完成签到 ,获得积分10
6秒前
江漓完成签到 ,获得积分10
6秒前
yj91发布了新的文献求助10
7秒前
Frank应助想飞的猪采纳,获得10
7秒前
7秒前
大有阳光发布了新的文献求助10
8秒前
dsfsd完成签到,获得积分10
8秒前
王一博关注了科研通微信公众号
8秒前
高大厉完成签到 ,获得积分10
9秒前
子车茗应助liu采纳,获得20
9秒前
隐形曼青应助Jenny采纳,获得10
9秒前
奥特曼打怪兽完成签到 ,获得积分10
9秒前
vhjino完成签到,获得积分10
9秒前
9秒前
制冷剂发布了新的文献求助10
9秒前
aaaaaa发布了新的文献求助10
10秒前
Ch185完成签到,获得积分10
10秒前
10秒前
ldkl完成签到,获得积分0
10秒前
深情安青应助任性的秋凌采纳,获得10
10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
List of 1,091 Public Pension Profiles by Region 1001
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5471023
求助须知:如何正确求助?哪些是违规求助? 4573782
关于积分的说明 14341289
捐赠科研通 4500958
什么是DOI,文献DOI怎么找? 2466068
邀请新用户注册赠送积分活动 1454321
关于科研通互助平台的介绍 1428943