A systematic review of proteomic biomarkers in oral squamous cell cancer

医学 癌症 生物标志物 生物标志物发现 鳞状细胞癌 外科肿瘤学 疾病 肿瘤科 蛋白质组学 头颈部癌 内科学 系统回顾 生物信息学 梅德林 生物 基因 生物化学
作者
Jyotsnaa Pillai,Tanvi Chincholkar,Ruhi Dixit,Manoj Pandey
出处
期刊:World Journal of Surgical Oncology [BioMed Central]
卷期号:19 (1): 315-315 被引量:57
标识
DOI:10.1186/s12957-021-02423-y
摘要

Abstract Background Head and neck squamous cell cancer (HNSCC) is the most common cancer associated with chewing tobacco, in the world. As this is divided in to sites and subsites, it does not make it to top 10 cancers. The most common subsite is the oral cancer. At the time of diagnosis, more than 50% of patients with oral squamous cell cancers (OSCC) had advanced disease, indicating the lack of availability of early detection and risk assessment biomarkers. The new protein biomarker development and discovery will aid in early diagnosis and treatment which lead to targeted treatment and ultimately a good prognosis. Methods This systematic review was performed as per PRISMA guidelines. All relevant studies assessing characteristics of oral cancer and proteomics were considered for analysis. Only human studies published in English were included, and abstracts, incomplete articles, and cell line or animal studies were excluded. Results A total of 308 articles were found, of which 112 were found to be relevant after exclusion. The present review focuses on techniques of cancer proteomics and discovery of biomarkers using these techniques. The signature of protein expression may be used to predict drug response and clinical course of disease and could be used to individualize therapy with such knowledge. Conclusions Prospective use of these markers in the clinical setting will enable early detection, prediction of response to treatment, improvement in treatment selection, and early detection of tumor recurrence for disease monitoring. However, most of these markers for OSCC are yet to be validated.
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
纯情的心锁完成签到,获得积分10
1秒前
DH完成签到 ,获得积分10
1秒前
未来学术司马懿完成签到,获得积分0
2秒前
小满完成签到,获得积分10
2秒前
老的火龙果应助jinyu采纳,获得10
2秒前
阔达凝雁完成签到,获得积分10
5秒前
悦耳的保温杯完成签到 ,获得积分10
6秒前
慧子发布了新的文献求助10
11秒前
可耐的冬日完成签到 ,获得积分10
11秒前
16秒前
17秒前
轩辕完成签到 ,获得积分10
19秒前
zyb完成签到 ,获得积分10
20秒前
wanci应助慧子采纳,获得10
20秒前
风轻舞发布了新的文献求助10
22秒前
ioio完成签到 ,获得积分10
22秒前
乒坛巨人完成签到 ,获得积分0
23秒前
DOC_XIONG完成签到,获得积分0
26秒前
daomaihu发布了新的文献求助100
26秒前
cdercder应助zltian采纳,获得10
27秒前
S686完成签到 ,获得积分10
29秒前
科研通AI6.4应助风轻舞采纳,获得10
31秒前
Drose完成签到,获得积分10
34秒前
咕噜噜完成签到 ,获得积分10
35秒前
脑洞疼应助葭月十七采纳,获得10
35秒前
甜甜圈完成签到 ,获得积分10
36秒前
简单海之完成签到,获得积分10
37秒前
pp完成签到 ,获得积分10
38秒前
精明魔镜完成签到,获得积分10
40秒前
40秒前
41秒前
我爱酸菜鱼完成签到,获得积分10
41秒前
45秒前
慧子发布了新的文献求助10
46秒前
wanwei发布了新的文献求助10
46秒前
47秒前
古柳完成签到,获得积分10
47秒前
Ph完成签到 ,获得积分10
51秒前
卢彦冬完成签到,获得积分10
52秒前
潜龙完成签到 ,获得积分10
53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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7778444
求助须知:如何正确求助?哪些是违规求助? 9318783
关于积分的说明 20366209
捐赠科研通 7365553
什么是DOI,文献DOI怎么找? 3319210
关于科研通互助平台的介绍 2467170
邀请新用户注册赠送积分活动 2334659