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Molecular subtyping of colorectal cancer: Recent progress, new challenges and emerging opportunities

亚型 结直肠癌 疾病 时间轴 模式 个性化医疗 精密医学 医学 生物信息学 癌症 计算机科学 生物 病理 内科学 历史 社会学 考古 程序设计语言 社会科学
作者
Wei Wang,Raju Kandimalla,Hao Huang,Lina Zhu,Ying Li,Feng Gao,Ajay Goel,Xin Wang
出处
期刊:Seminars in Cancer Biology [Elsevier BV]
卷期号:55: 37-52 被引量:187
标识
DOI:10.1016/j.semcancer.2018.05.002
摘要

Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. Similar to many other malignancies, CRC is a heterogeneous disease, making it a clinical challenge for optimization of treatment modalities in reducing the morbidity and mortality associated with this disease. A more precise understanding of the biological properties that distinguish patients with colorectal tumors, especially in terms of their clinical features, is a key requirement towards a more robust, targeted-drug design, and implementation of individualized therapies. In the recent decades, extensive studies have reported distinct CRC subtypes, with a mutation-centered view of tumor heterogeneity. However, more recently, the paradigm has shifted towards transcriptome-based classifications, represented by six independent CRC taxonomies. In 2015, the colorectal cancer subtyping consortium reported the identification of four consensus molecular subtypes (CMSs), providing thus far the most robust classification system for CRC. In this review, we summarize the historical timeline of CRC classification approaches; discuss their salient features and potential limitations that may require further refinement in near future. In other words, in spite of the recent encouraging progress, several major challenges prevent translation of molecular knowledge gleaned from CMSs into the clinic. Herein, we summarize some of these potential challenges and discuss exciting new opportunities currently emerging in related fields. We believe, close collaborations between basic researchers, bioinformaticians and clinicians are imperative for addressing these challenges, and eventually paving the path for CRC subtyping into routine clinical practice as we usher into the era of personalized medicine.
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