实体肿瘤生长是癌细胞与其微环境之间复杂相互作用的结果。最近,一项新的实体瘤全局转录组免疫分类鉴定出6种免疫亚型(ISs)(C1-C6).我们的目的是具体表征结直肠癌(CRC)中的ISs,并评估它们与共有分子亚型(CMSs)的相互作用。
临床和分子信息,包括CMS和IS,得自癌症基因组图谱(TCGA)(N=625)。免疫细胞群,使用CMSs进行差异基因表达和基因集富集分析以表征全球CRC人群中的ISs。
在CRC中仅识别出5个ISs,主要是C1伤口愈合(77%)和C2IFN-γ占优势(17%)。CMS1显示C2的比例最高(53%),而C1在CMS2中特别占优势(91%)。CMS3具有最高的表示性C3炎症(7%)和C4淋巴细胞耗竭ISs(4%),而所有C6TGF-β优势病例均属于CMS4(2.3%)。CRC中IS的预后相关性与全球TCGA报告的预后相关性大不相同,与CMS分类相比,ISs对CRC患者的预后进行分层的能力更大。C2有较高密度的CD8,CD4激活,滤泡辅助性T细胞,调节性T细胞和中性粒细胞和最高的M1/M2极化。C2增强了与免疫系统相关的途径的激活,细胞凋亡和DNA修复,mTOR信号和氧化磷酸化,而C1更依赖于代谢途径。
IS和CMS的相关性允许对具有相关临床和生物学意义的患者进行更精确的分类。这可能是改善CRC患者量身定制的治疗干预措施的有价值的工具。
Solid tumour growth is the consequence of a complex interplay between cancer cells and their microenvironment. Recently, a new global transcriptomic immune classification of solid tumours has identified six immune subtypes (ISs) (C1-C6). Our aim was to specifically characterise ISs in colorectal cancer (CRC) and assess their interplay with the
consensus molecular subtypes (CMSs).
Clinical and molecular information, including CMSs and ISs, were obtained from The Cancer Genome Atlas (TCGA) (N = 625). Immune cell populations, differential gene expression and gene set enrichment analysis were performed to characterise ISs in the global CRC population by using CMSs.
Only 5 ISs were identified in CRC, predominantly C1 wound healing (77%) and C2 IFN-γ dominant (17%). CMS1 showed the highest proportion of C2 (53%), whereas C1 was particularly dominant in CMS2 (91%). CMS3 had the highest representation of C3 inflammatory (7%) and C4 lymphocyte depleted ISs (4%), whereas all C6 TGF-β dominant cases belonged to CMS4 (2.3%). Prognostic relevance of ISs in CRC substantially differed from that reported for the global TCGA, and ISs had a greater ability to stratify the prognosis of CRC patients than CMS classification. C2 had higher densities of CD8, CD4 activated, follicular helper T cells, regulatory T cells and neutrophils and the highest M1/M2 polarisation. C2 had a heightened activation of pathways related to the immune system, apoptosis and DNA repair, mTOR signalling and oxidative phosphorylation, whereas C1 was more dependent of metabolic pathways.
The correlation of IS and CMS allows a more precise categorisation of patients with relevant clinical and biological implications, which may be valuable tools to improve tailored therapeutic interventions in CRC patients.