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非编码RNA实现结直肠癌患者的预后分层及治疗反应预测

Non-coding RNAs Enabling Prognostic Stratification and Prediction of Therapeutic Response in Colorectal Cancer Patients.

作者信息

Perakis Samantha O, Thomas Joseph E, Pichler Martin

机构信息

Division of Oncology, Medical University of Graz, Graz, Austria.

Indiana University School of Medicine, Indianapolis, IN, USA.

出版信息

Adv Exp Med Biol. 2016;937:183-204. doi: 10.1007/978-3-319-42059-2_10.

Abstract

Colorectal cancer (CRC) is a heterogeneous disease and current treatment options for patients are associated with a wide range of outcomes and tumor responses. Although the traditional TNM staging system continues to serve as a crucial tool for estimating CRC prognosis and for stratification of treatment choices and long-term survival, it remains limited as it relies on macroscopic features and cases of surgical resection, fails to incorporate new molecular data and information, and cannot perfectly predict the variety of outcomes and responses to treatment associated with tumors of the same stage. Although additional histopathologic features have recently been applied in order to better classify individual tumors, the future might incorporate the use of novel molecular and genetic markers in order to maximize therapeutic outcome and to provide accurate prognosis. Such novel biomarkers, in addition to individual patient tumor phenotyping and other validated genetic markers, could facilitate the prediction of risk of progression in CRC patients and help assess overall survival. Recent findings point to the emerging role of non-protein-coding regions of the genome in their contribution to the progression of cancer and tumor formation. Two major subclasses of non-coding RNAs (ncRNAs), microRNAs and long non-coding RNAs, are often dysregulated in CRC and have demonstrated their diagnostic and prognostic potential as biomarkers. These ncRNAs are promising molecular classifiers and could assist in the stratification of patients into appropriate risk groups to guide therapeutic decisions and their expression patterns could help determine prognosis and predict therapeutic options in CRC.

摘要

结直肠癌(CRC)是一种异质性疾病,目前针对患者的治疗方案会带来广泛的治疗结果和肿瘤反应。尽管传统的TNM分期系统仍然是评估CRC预后、划分治疗选择和长期生存情况的关键工具,但它存在局限性,因为它依赖宏观特征和手术切除病例,未能纳入新的分子数据和信息,并且无法完美预测同一阶段肿瘤的各种治疗结果和反应。尽管最近应用了额外的组织病理学特征来更好地对个体肿瘤进行分类,但未来可能会采用新型分子和基因标志物,以最大化治疗效果并提供准确的预后。除了个体患者肿瘤表型分析和其他经过验证的基因标志物外,此类新型生物标志物还可以促进对CRC患者进展风险的预测,并有助于评估总体生存率。最近的研究结果表明,基因组的非蛋白质编码区域在癌症进展和肿瘤形成过程中发挥着越来越重要的作用。非编码RNA(ncRNA)的两个主要亚类,即微小RNA和长链非编码RNA,在CRC中常常失调,并已显示出作为生物标志物的诊断和预后潜力。这些ncRNA有望成为分子分类器,有助于将患者分层到适当的风险组中,以指导治疗决策,其表达模式有助于确定CRC的预后并预测治疗方案。

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