生物
类有机物
癌变
微卫星不稳定性
表观遗传学
癌症研究
清脆的
DNA甲基化
DNA错配修复
结直肠癌
MLH1
遗传学
癌症
基因
基因表达
微卫星
等位基因
作者
Tamsin R.M. Lannagan,Young Kyung Lee,Tongtong Wang,Jatin Roper,Mark Bettington,Lochlan Fennell,Laura Vrbanac,Lisa Jonavicius,Roshini Somashekar,Krystyna A. Gieniec,Miao Yang,Jia Q. Ng,Nobumi Suzuki,Mari Ichinose,Josephine A. Wright,Hiroki Kobayashi,Tracey L Putoczki,Yoku Hayakawa,Simon J. Leedham,Helen E. Abud
出处
期刊:Gut
[BMJ]
日期:2018-04-17
卷期号:68 (4): 684-692
被引量:107
标识
DOI:10.1136/gutjnl-2017-315920
摘要
Objective Serrated colorectal cancer (CRC) accounts for approximately 25% of cases and includes tumours that are among the most treatment resistant and with worst outcomes. This CRC subtype is associated with activating mutations in the mitogen-activated kinase pathway gene, BRAF , and epigenetic modifications termed the CpG Island Methylator Phenotype, leading to epigenetic silencing of key tumour suppressor genes. It is still not clear which (epi-)genetic changes are most important in neoplastic progression and we begin to address this knowledge gap herein. Design We use organoid culture combined with CRISPR/Cas9 genome engineering to sequentially introduce genetic alterations associated with serrated CRC and which regulate the stem cell niche, senescence and DNA mismatch repair. Results Targeted biallelic gene alterations were verified by DNA sequencing. Organoid growth in the absence of niche factors was assessed, as well as analysis of downstream molecular pathway activity. Orthotopic engraftment of complex organoid lines, but not Braf V600E alone, quickly generated adenocarcinoma in vivo with serrated features consistent with human disease. Loss of the essential DNA mismatch repair enzyme, Mlh1, led to microsatellite instability. Sphingolipid metabolism genes are differentially regulated in both our mouse models of serrated CRC and human CRC, with key members of this pathway having prognostic significance in the human setting. Conclusion We generate rapid, complex models of serrated CRC to determine the contribution of specific genetic alterations to carcinogenesis. Analysis of our models alongside patient data has led to the identification of a potential susceptibility for this tumour type.
科研通智能强力驱动
Strongly Powered by AbleSci AI