L1 and epithelial cell adhesion molecules associated with gastric cancer progression and prognosis in examination of specimens from 601 patients

作者
Yuanyu Wang,Li Li,Zhong‐Sheng Zhao,Yong-Xiang Wang,Zai‐yuan Ye,Hou‐Quan Tao
出处
期刊:Journal of Experimental & Clinical Cancer Research [BioMed Central]
卷期号:32 (1): 66-66 被引量:40
标识
DOI:10.1186/1756-9966-32-66
摘要

BACKGROUND: L1 cell adhesion molecule (L1CAM) and epithelial cell adhesion molecule (EPCAM) have been implicated in the development and progression of gastric cancer. The present study investigated the clinical significance of L1CAM and EPCAM in the development, progression and prognosis of gastric cancer. METHODS: Expression of L1CAM and EPCAM were examined immunochemically in 601 clinicopathologically characterized gastric cancer cases. RESULTS: L1CAM protein was detected in 23.9% of human non-tumor mucosa samples. All samples expressed L1CAM protein at low levels. High expression of L1CAM protein was detected in 163 (27.1%) tumors. Expression of L1CAM correlated with age, tumor location, size of tumors, Lauren's classification, depth of invasion, lymph node and distant metastases, regional lymph node stage, Tumor-Node-Metastasis (TNM) stage and prognosis. EPCAM protein was detected in 45.7% of human non-tumor mucosa samples. All samples expressed EPCAM protein at low levels. High expression of EPCAM protein was detected in 247 (41.1%) tumors. Expression of EPCAM correlated with age, tumor location, size of tumors, Lauren's classification, depth of invasion, lymph node and distant metastases, regional lymph node stage, TNM stage and prognosis. Cumulative 5-year survival rates of patients with high expression of both L1CAM and EPCAM were significantly lower than in patients with low expression of both. CONCLUSIONS: Expression of L1CAM and EPCAM in gastric cancer was significantly associated with lymph node and distant metastasis, and poor prognosis. L1CAM and EPCAM proteins could be useful markers to predict tumor progression and prognosis.

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
莲花盛开的应助被科研通管家采纳,获得20
1秒前
DW的应助被科研通管家采纳,获得10
1秒前
大模型的应助被科研通管家采纳,获得10
1秒前
思源的应助被科研通管家采纳,获得20
1秒前
1秒前
打打的应助被科研通管家采纳,获得10
1秒前
在水一方的应助被科研通管家采纳,获得10
1秒前
彭于晏的应助被科研通管家采纳,获得10
1秒前
molihuakai的应助被科研通管家采纳,获得10
1秒前
JamesPei的应助被科研通管家采纳,获得10
2秒前
123的应助被科研通管家采纳,获得10
2秒前
2秒前
DW的应助被科研通管家采纳,获得10
2秒前
星辰大海的应助被科研通管家采纳,获得10
2秒前
执着草丛发布了新的文献求助10
2秒前
莲花盛开的应助被科研通管家采纳,获得10
3秒前
完美世界的应助被科研通管家采纳,获得10
3秒前
极限001的应助被科研通管家采纳,获得50
3秒前
123的应助被科研通管家采纳,获得10
3秒前
莲花盛开的应助被科研通管家采纳,获得10
3秒前
小二郎的应助被科研通管家采纳,获得10
4秒前
Nuyoah发布了新的文献求助10
4秒前
window1000发布了新的文献求助10
4秒前
bkagyin的应助被科研通管家采纳,获得10
4秒前
ding的应助被科研通管家采纳,获得10
4秒前
顾矜的应助被科研通管家采纳,获得10
4秒前
赘婿的应助被科研通管家采纳,获得10
5秒前
英姑的应助被小巧的绮采纳,获得10
5秒前
闪闪冬天发布了新的文献求助10
6秒前
雪维完成签到,获得积分10
6秒前
7秒前
甜品铁粉完成签到,获得积分10
7秒前
YY完成签到,获得积分10
7秒前
8秒前
DW的应助被高贵黄豆采纳,获得10
8秒前
大方发布了新的文献求助10
8秒前
飞光入盏发布了新的文献求助10
9秒前
莫里亚蒂完成签到,获得积分10
9秒前
9秒前
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
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Comprehensive Heterocyclic Chemistry IV 400
Qualitative Methodologies in Tourism Studies: Disrupting and Co-creating Critical Research 350
Représentation chimique de la structure des kérogènes et des asphaltènes en fonction de leur origine et de leur degré d'évolution 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8051500
求助须知:如何正确求助?哪些是违规求助? 9479410
关于积分的说明 21298348
捐赠科研通 7619809
什么是DOI,文献DOI怎么找? 3393472
关于科研通互助平台的介绍 2524766
邀请新用户注册赠送积分活动 2431477