Relationship of biglycan and decorin expression with clinicopathological features and prognosis in patients with oral squamous cell carcinoma

多糖 比格里坎 免疫组织化学 病态的 医学 内科学 基底细胞 病理 多元分析 肿瘤科 生物 解剖 蛋白多糖 软骨
作者
Miaomiao Liu,Wei Wang,Songlin Piao,Yuchen Shen,Zhengmiao Li,Wentong Ding,Jichen Li,Wuliji Saiyin
出处
期刊:Journal of Oral Pathology & Medicine [Wiley]
卷期号:52 (1): 20-28 被引量:3
标识
DOI:10.1111/jop.13381
摘要

This study focused on investigating relation between biglycan (BGN) and decorin (DCN) expression and prognostic outcome for oral squamous cell carcinoma (OSCC) cases.BGN and DCN mRNA and protein expression was detected by qRT-PCR and Western-blotting (WB) assays from 31 OSCC samples as well as healthy samples. This work harvested 101 paraffin-embedded OSCC together with 30 healthy samples, and conducted immunohistochemical (IHC) staining for assessing pathological changes. Association of DCN with BGN within OSCC was explored by Spearman's analysis. Survival rate was explored by Kaplan-Meier (KM) approach. Multivariate analysis was conducted by Cox regression.WB and qRT-PCR results showed BGN up-regulation (p < 0.001, p < 0.0001) whereas DCN down-regulation (p < 0.0001, p < 0.0001) with fresh OSCC tissues; the expression of BGN and DCN associated with the OSCC histopathological grade. IHC results suggested elevated BGN level (p < 0.0001) whereas DCN down-regulation (p < 0.0001) with paraffin embedded OSCC tissues. The expression of BGN and DCN associated with histopathologic grades and tumor stage of OSCC. The result of Spearman's analysis demonstrated significant association between the expression of BGN and DCN in OSCC. Survival analysis revealed that patients with higher BGN/lower DCN level showed poor overall survival (OS) as well as tumor-specific survival (TSS). Multivariate analysis proved that BGN and DCN independently predicted the prognosis of OS and TSS.BGN and DCN expression levels can be adopted for predicting OSCC prognostic outcome.

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
FashionBoy应助闪闪的熠彤采纳,获得10
1秒前
1秒前
南熙发布了新的文献求助10
1秒前
小y同学发布了新的文献求助10
2秒前
直率听云发布了新的文献求助10
2秒前
冷静新瑶完成签到,获得积分10
2秒前
ss发布了新的文献求助10
3秒前
明理怜珊发布了新的文献求助10
3秒前
痴情的蛋挞关注了科研通微信公众号
5秒前
5秒前
冷静新瑶发布了新的文献求助10
5秒前
小李子完成签到 ,获得积分10
6秒前
6秒前
6秒前
7秒前
汉堡包应助Noob_saibot采纳,获得10
7秒前
cijing发布了新的文献求助10
8秒前
10秒前
王泳茵发布了新的文献求助10
10秒前
10秒前
卷卷睡发布了新的文献求助10
10秒前
10秒前
11秒前
Alane完成签到,获得积分20
11秒前
LuoYixiang发布了新的文献求助10
11秒前
英俊的铭应助11采纳,获得10
13秒前
chao发布了新的文献求助10
13秒前
魏白鱼发布了新的文献求助10
14秒前
15秒前
15秒前
Alane发布了新的文献求助10
15秒前
Ge完成签到,获得积分10
16秒前
Ikejima发布了新的文献求助10
16秒前
xiaohe发布了新的文献求助10
17秒前
17秒前
物外完成签到,获得积分10
17秒前
19秒前
小y同学完成签到,获得积分10
19秒前
19秒前
等待的语海完成签到,获得积分10
19秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 6722174
求助须知:如何正确求助?哪些是违规求助? 8458359
关于积分的说明 18058103
捐赠科研通 5974852
什么是DOI,文献DOI怎么找? 2996637
邀请新用户注册赠送积分活动 1972725
关于科研通互助平台的介绍 1926781