Identifying Novel Biomarkers in Bladder Cancer, 2nd edition

出处
期刊:Frontiers research topics
标识
DOI:10.3389/978-2-8325-3051-1
摘要

Bladder cancer is one of the most common urological diseases with a high mortality rate and poor prognosis. It is currently ranked as the 10th most common malignancy worldwide. The majority of bladder cancer patients have been found to be diagnosed with non-muscle invasive bladder cancer (NMIBC) and the remaining, are diagnosed with muscle-invasive bladder cancer (MIBC). Although there have been advances in the treatment and therapies provided for bladder cancer patients, the survival rate remains low, primarily due to recurrence and metastasis of the disease following treatment. Surgical treatment is currently the most common form including radical cystectomy which is the standard form of treatment combined with neoadjuvant chemotherapy. However, the 5-year overall survival rate is 50%. Therefore, further studies are required to understand the molecular mechanisms involved in the progression of bladder cancer and identify novel biomarkers to act as a diagnostic tool for patients. There have been many studies involving the detection of biomarkers in bladder cancer in addition to monitoring disease recurrence to understand the impact and predict potential outcomes. A variety of urine biomarkers have been developed to detect bladder cancer and prognostic risk stratification including mutational DNA and the levels of RNA expression. Circulating tumor cells have also been identified as a potential biomarker for bladder cancer patients. However, there are significant challenges as bladder cancer has demonstrated high levels of cellular and molecular heterogeneity and some markers do not have sufficient sensitivity for accurate detection. Therefore, further studies are required to continue to identify new novel biomarkers for bladder cancer. The aim of this Research Topic is to discuss novel biomarkers in bladder cancer and how it impacts the disease progression and the survival rate for bladder cancer patients.

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
pengpengyin发布了新的文献求助10
1秒前
ashore发布了新的文献求助10
1秒前
2秒前
2秒前
深情安青应助咸鱼梦想家采纳,获得10
2秒前
Ll完成签到,获得积分10
2秒前
xxy发布了新的文献求助10
3秒前
4秒前
小王完成签到 ,获得积分10
5秒前
5秒前
6秒前
科研通AI6.3应助油菜籽采纳,获得10
7秒前
仔仔仔平发布了新的文献求助10
8秒前
MCRing完成签到,获得积分10
9秒前
YZQ关闭了YZQ文献求助
9秒前
李健的小迷弟应助TCB采纳,获得10
9秒前
9秒前
10秒前
隐形曼青应助ashore采纳,获得10
11秒前
orixero应助负数采纳,获得30
12秒前
XQ发布了新的文献求助10
12秒前
九日完成签到,获得积分10
12秒前
天天快乐应助名字是乱码采纳,获得10
12秒前
夏鱼发布了新的文献求助10
12秒前
13秒前
Junwuuu完成签到,获得积分10
13秒前
13秒前
整齐的不言完成签到,获得积分10
13秒前
科研通AI6.2应助热潮采纳,获得10
13秒前
sutychen完成签到,获得积分10
14秒前
wanci应助skyla1003采纳,获得10
14秒前
14秒前
SciGPT应助plant采纳,获得10
14秒前
可爱的函函应助hgg1314采纳,获得10
15秒前
15秒前
15秒前
16秒前
17秒前
璃月稻妻完成签到,获得积分10
18秒前
沉默的谷秋完成签到,获得积分10
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7293123
求助须知:如何正确求助?哪些是违规求助? 8911877
关于积分的说明 18866546
捐赠科研通 6959942
什么是DOI,文献DOI怎么找? 3209734
关于科研通互助平台的介绍 2379220
邀请新用户注册赠送积分活动 2185758