The role of adhesion molecules in hepatocellulary carcinoma.

上皮细胞粘附分子 细胞粘附分子 医学 抗原 间质细胞 细胞粘附 VCAM-1 病理 粘附 癌症研究 恶性肿瘤 免疫学 ICAM-1 化学 有机化学
作者
Didem Taştekin,Mustafa Dikilitaş,Hakan Harputluoğlu,Kayhan Ertürk,Koray Celebı,Fatma Şen,Hamza Uğur Bozbey,Nakiye öZtà⁄ rk
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:33 (15_suppl): e15144-e15144
标识
DOI:10.1200/jco.2015.33.15_suppl.e15144
摘要

e15144 Background: Hepatocellulary carcinoma (HCC) consists of 85-90 % of liver tumors.. Several molecular markers are developed for early diagnosis. Adhesion molecules like VCAM and EPCAM are in these group. Adhesion molecules take part in regulation of different functions such as tropism of cells to spesific tissues, identify each other, embryogenesis, cell growth and differentiation and inflammation. Vascular cell adhesion molecule-1 (VCAM-1) interferes with integrins in VLA group, found in leucocytes. These molecules are expressed in endothelial cells, antigen presenting cells, bone marrow stromal cells, embrionic and synovial tissue. Epithelial cell adhesion molecule (EpCAM) is a 40 kDa weisght cell surface antigen. As expression of EpCAM is increased in tumour cells it is ssuggested that this molecule can be predictive marker for malignancy. Methods: This study was conducted to determine serum levels of VCAM and EPCAM which may have diagnostic or prognostic value in blood samples of patients with HCC.Sixty newly diagnosed HCC patients and 20 healthy subjects admitted to Istanbul University Institute of Oncology and department of gastroenterohepatology were included in the study. Serum levels of VCAM and EPCAM were analysed in duplicated manner by ELISa assay. SPSS 16 sofware programme was used for stastical analyses. Results: There was a stastically significant difference between patient and control groups in respect to VCAM and EPCAM levels (p < 0.001) Conclusions: Our results suggested that adhesion molecules may be useful in early diagnosis of HCC. When one year survival data were evaluated it seems that VCAM and EPCAM have no prognostic value.

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
科研通AI2S应助零食宝采纳,获得10
刚刚
刚刚
科研通AI6.4应助蘑菇丰收采纳,获得10
1秒前
szy完成签到,获得积分0
2秒前
后来发布了新的文献求助10
2秒前
wzhtnl完成签到,获得积分10
2秒前
大兔米菲完成签到,获得积分10
4秒前
4秒前
6秒前
香蕉觅云应助云Qi采纳,获得10
6秒前
哦吼完成签到,获得积分10
7秒前
香蕉觅云应助科研通管家采纳,获得10
7秒前
科研通AI6.4应助科研通管家采纳,获得100
7秒前
我是老大应助科研通管家采纳,获得10
7秒前
lejunia发布了新的文献求助10
7秒前
传奇3应助科研通管家采纳,获得10
7秒前
大模型应助科研通管家采纳,获得10
7秒前
汉堡包应助科研通管家采纳,获得10
7秒前
NexusExplorer应助科研通管家采纳,获得10
7秒前
烟花应助科研通管家采纳,获得10
7秒前
英姑应助科研通管家采纳,获得10
8秒前
在水一方应助科研通管家采纳,获得10
8秒前
Jasper应助科研通管家采纳,获得10
8秒前
深情安青应助科研通管家采纳,获得10
8秒前
8秒前
搜集达人应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
8秒前
8秒前
kdfdds完成签到,获得积分10
8秒前
沈沈完成签到 ,获得积分10
9秒前
明月发布了新的文献求助10
10秒前
zfsn发布了新的文献求助10
11秒前
零食宝发布了新的文献求助10
11秒前
英俊的铭应助鸭嗦饼干采纳,获得10
11秒前
qin123发布了新的文献求助10
12秒前
华仔应助haralee采纳,获得10
12秒前
华仔应助超级千凡采纳,获得10
12秒前
三七发布了新的文献求助10
13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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443547
求助须知:如何正确求助?哪些是违规求助? 8257395
关于积分的说明 17586450
捐赠科研通 5502154
什么是DOI,文献DOI怎么找? 2900906
邀请新用户注册赠送积分活动 1877940
关于科研通互助平台的介绍 1717534