Bramsen Jesper Bertram, Rasmussen Mads Heilskov, Ongen Halit, Mattesen Trine Block, Ørntoft Mai-Britt Worm, Árnadóttir Sigrid Salling, Sandoval Juan, Laguna Teresa, Vang Søren, Øster Bodil, Lamy Philippe, Madsen Mogens Rørbæk, Laurberg Søren, Esteller Manel, Dermitzakis Emmanouil Theophilos, Ørntoft Torben Falck, Andersen Claus Lindbjerg
Department of Molecular Medicine, Aarhus University Hospital, Aarhus 8200, Denmark.
Department of Molecular Medicine, Aarhus University Hospital, Aarhus 8200, Denmark.
Cell Rep. 2017 May 9;19(6):1268-1280. doi: 10.1016/j.celrep.2017.04.045.
Colorectal cancer (CRC) is characterized by major inter-tumor diversity that complicates the prediction of disease and treatment outcomes. Recent efforts help resolve this by sub-classification of CRC into natural molecular subtypes; however, this strategy is not yet able to provide clinicians with improved tools for decision making. We here present an extended framework for CRC stratification that specifically aims to improve patient prognostication. Using transcriptional profiles from 1,100 CRCs, including >300 previously unpublished samples, we identify cancer cell and tumor archetypes and suggest the tumor microenvironment as a major prognostic determinant that can be influenced by the microbiome. Notably, our subtyping strategy allowed identification of archetype-specific prognostic biomarkers that provided information beyond and independent of UICC-TNM staging, MSI status, and consensus molecular subtyping. The results illustrate that our extended subtyping framework, combining subtyping and subtype-specific biomarkers, could contribute to improved patient prognostication and may form a strong basis for future studies.
结直肠癌(CRC)的特点是肿瘤间存在较大差异,这使得疾病预测和治疗结果变得复杂。最近的研究通过将CRC细分为自然分子亚型来帮助解决这一问题;然而,这一策略尚无法为临床医生提供更好的决策工具。我们在此提出一个扩展的CRC分层框架,其具体目标是改善患者预后。利用来自1100例CRC的转录谱,包括300多个先前未发表的样本,我们识别出癌细胞和肿瘤原型,并提出肿瘤微环境是一个可受微生物群影响的主要预后决定因素。值得注意的是,我们的亚型分类策略能够识别出特定原型的预后生物标志物,这些标志物提供了超越UICC-TNM分期、微卫星高度不稳定(MSI)状态和共识分子亚型分类的信息,且相互独立。结果表明,我们结合亚型分类和特定亚型生物标志物的扩展亚型分类框架,有助于改善患者预后,并可能为未来研究奠定坚实基础。