Traditional Classification and Novel Subtyping Systems for Bladder Cancer
Author(s) -
Shaoming Zhu,
Weimin Yu,
Xiao Yang,
Cheng Wu,
Cheng Fan
Publication year - 2020
Publication title -
frontiers in oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.834
H-Index - 83
ISSN - 2234-943X
DOI - 10.3389/fonc.2020.00102
Subject(s) - subtyping , bladder cancer , grading (engineering) , pathological , medicine , bladder tumor , oncology , cancer , tumor progression , pathology , biology , computer science , ecology , programming language
Bladder cancer is the most common tumor in the urinary system, with approximately 420,000 new cases and 160,000 deaths per year. The European Organization for Research and Treatment of Cancer (EOTRC) classifies non-muscular invasive bladder cancer (NMIBC) into low-risk, medium-risk and high-risk groups based on a comprehensive analysis of NMIBC pathological parameters and the risk of recurrence and progression to muscular invasive bladder cancer (MIBC). Traditional classification systems are based on pathologic grading, staging systems, and clinical prognosis. However, the pathological parameters of the tumor cannot fully reflect the “intrinsic characteristics” of bladder cancer, and tumors with a similar pathology exhibit different biological behaviors. Furthermore, although the traditional classification system cannot accurately predict the risk of recurrence or the progression of bladder cancer patients (BCs) individually, this method is widely used in clinical practice because of its convenient operation. With the development of sequencing and other technologies, the genetics-based molecular subtyping of bladder cancer has become increasingly studied. Compared with the traditional classification system, it provides more abundant tumor biological information and is expected to assist or even replace the traditional typing system in the future.
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