Dienstmann Rodrigo, Salazar Ramon, Tabernero Josep
From the Sage Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Medical Oncology, Translational Research Laboratory, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Medical Oncology Department, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Universitat Autònoma de Barcelona, Barcelona, Spain.
Am Soc Clin Oncol Educ Book. 2014:91-9. doi: 10.14694/EdBook_AM.2014.34.91.
Colorectal cancer (CRC) has been extensively molecularly characterized in recent years. In addition to the understanding of biologic hallmarks of the disease, the ultimate goal of these studies was to provide tools that could allow us to differentiate subgroups of CRC with prognostic and predictive implications. So far, subtype classification has been largely driven by well-described features: (1) defective mismatch repair resulting in higher mutation rate; (2) cellular proliferation along with chromosomal instability and copy number aberrations; and (3) an invasive stromal phenotype mainly driven by TGF-β linked to epithelial-mesenchymal transition. Recent studies have outlined the complexity of CRC at the gene expression level, confirming how heterogeneous the disease is beyond currently validated parameters, namely KRAS, BRAF mutations and microsatellite instability. In fact, adopting an extended mutation profile upfront, which includes nonrecurrent KRAS, NRAS, and PIK3CA gene variants, likely improves outcomes. In this article, we review the current trends of translational research in CRC, summarize ongoing genomically driven clinical trials, and describe the challenges for defining a comprehensive, robust, and reproducible disease classification system that links molecular features to personalized medicine. We believe that identification of CRC subtypes based on integrative genomic analyses will provide a better guide for patient stratification and for rational design of drugs targeting specific pathways.
近年来,结直肠癌(CRC)已得到广泛的分子特征描述。除了对该疾病生物学特征的了解外,这些研究的最终目标是提供工具,使我们能够区分具有预后和预测意义的CRC亚组。到目前为止,亚型分类在很大程度上是由已充分描述的特征驱动的:(1)错配修复缺陷导致更高的突变率;(2)细胞增殖以及染色体不稳定性和拷贝数畸变;(3)主要由与上皮-间质转化相关的TGF-β驱动的侵袭性基质表型。最近的研究概述了CRC在基因表达水平上的复杂性,证实了该疾病在目前已验证的参数(即KRAS、BRAF突变和微卫星不稳定性)之外是多么的异质性。事实上,预先采用扩展的突变谱,包括非复发性KRAS、NRAS和PIK3CA基因变异,可能会改善预后。在本文中,我们回顾了CRC转化研究的当前趋势,总结了正在进行的基因组驱动的临床试验,并描述了定义一个将分子特征与个性化医疗联系起来的全面、稳健且可重复的疾病分类系统所面临的挑战。我们相信,基于综合基因组分析识别CRC亚型将为患者分层和针对特定途径的药物合理设计提供更好的指导。