Colorectal Cancer Modeling with Organoids: Discriminating between Oncogenic RAS and BRAF Variants

结直肠癌 癌症研究 克拉斯 生物 癌症 靶向治疗 突变体 类有机物 突变 基因 遗传学
作者
Jasmin B. Post,Jeanine M.L. Roodhart,Hugo J.G. Snippert
出处
期刊:Trends in cancer [Elsevier]
卷期号:6 (2): 111-129 被引量:10
标识
DOI:10.1016/j.trecan.2019.12.005
摘要

Different RAS isoforms and oncogenic mutations are not equal during CRC development, progression, clinical features, and therapy response. CRC with oncogenic RAS manifests tumor development, progression, and clinical features that are different from BRAF mutant cancers. Organoid models enable cross-comparison between oncogenic RAS and BRAF mutant CRCs in terms of intertumoral heterogeneity of drug response. RAS and BRAF proteins are frequently mutated in colorectal cancer (CRC) and have been associated with therapy resistance in metastatic CRC patients. RAS isoforms are considered to act as redundant entities in physiological and pathological settings. However, there is compelling evidence that mutant variants of RAS and BRAF have different oncogenic potentials and therapeutic outcomes. In this review we describe similarities and differences between various RAS and BRAF oncogenes in CRC development, histology, and therapy resistance. In addition, we discuss the potential of patient-derived tumor organoids for personalized therapy, as well as CRC modeling using genome editing in preclinical model systems to study similarities and discrepancies between the effects of oncogenic MAPK pathway mutations on tumor growth and drug response. RAS and BRAF proteins are frequently mutated in colorectal cancer (CRC) and have been associated with therapy resistance in metastatic CRC patients. RAS isoforms are considered to act as redundant entities in physiological and pathological settings. However, there is compelling evidence that mutant variants of RAS and BRAF have different oncogenic potentials and therapeutic outcomes. In this review we describe similarities and differences between various RAS and BRAF oncogenes in CRC development, histology, and therapy resistance. In addition, we discuss the potential of patient-derived tumor organoids for personalized therapy, as well as CRC modeling using genome editing in preclinical model systems to study similarities and discrepancies between the effects of oncogenic MAPK pathway mutations on tumor growth and drug response.
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