KRAS密码子特异性突变差异地切换PI3K通路信号并改变对不可避免性的敏感性(GDC-0077)。

IF 5.3 2区 医学 Q1 ONCOLOGY
Kyung W Song, Christy C Ong, Eva Lin, Jeff Lau, Nicole M Sodir, Dexter X Jin, Katherine E Hutchinson, Shiqi Xie, Jenille Tan, Yuxin Liang, Zora Modrusan, Scott E Martin, Danilo Maddalo, Marc Hafner, Anwesha Dey
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引用次数: 0

摘要

PIK3CA和KRAS是最常发生突变的致癌基因,在结直肠癌中经常发生共突变。了解KRAS密码子特异性突变如何影响PI3K和MAPK通路之间的交叉对话以及对靶向治疗(如p110α-特异性抑制剂inavolisib (GDC-0077))的反应,对于推进精准肿瘤学至关重要。在结直肠PIK3CA+KRAS共突变模型中,我们发现KRAS g12d突变的细胞比KRAS G13D或其他MAPK通路突变的模型更敏感,尽管PI3K和MAPK通路在两种基因型中都是活跃的。在大多数共突变模型中,无论KRAS改变的类型如何,inavolisib与MAPK通路抑制剂的联合在体外和体内均显示出协同作用。我们的工作强调了KRAS中特定的密码子替换如何以不同的方式改变途径活性和改变对inavolisib的敏感性,这可以告知患者是否从单药inavolisib或与MAPK途径抑制剂联合获益更多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KRAS codon-specific mutations differentially toggle PI3K pathway signaling and alter sensitivity to inavolisib (GDC-0077).

PIK3CA and KRAS are among the most frequently mutated oncogenes and often co-mutated in colorectal cancers. Understanding how KRAS codon-specific mutations affect cross-talks between the PI3K and MAPK pathways and response to targeted therapies, such as the p110α-specific inhibitor inavolisib (GDC-0077), is critical for advancing precision oncology. Focusing on colorectal PIK3CA+KRAS co-mutated models, we found that KRAS G12D-mutated cells were more sensitive to inavolisib than models with KRAS G13D, or other MAPK pathway mutations, even though the PI3K and MAPK pathways were active in both genotypes. In most co-mutated models, regardless of the type of KRAS alteration, combination of inavolisib with MAPK pathway inhibitors showed synergy in vitro and in vivo. Our work highlights how specific codon substitutions in KRAS differentially toggle pathway activity and alter sensitivity to inavolisib, which could inform whether patients would benefit more from single-agent inavolisib or combination with MAPK pathway inhibitors.

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来源期刊
CiteScore
11.20
自引率
1.80%
发文量
331
审稿时长
3 months
期刊介绍: Molecular Cancer Therapeutics will focus on basic research that has implications for cancer therapeutics in the following areas: Experimental Cancer Therapeutics, Identification of Molecular Targets, Targets for Chemoprevention, New Models, Cancer Chemistry and Drug Discovery, Molecular and Cellular Pharmacology, Molecular Classification of Tumors, and Bioinformatics and Computational Molecular Biology. The journal provides a publication forum for these emerging disciplines that is focused specifically on cancer research. Papers are stringently reviewed and only those that report results of novel, timely, and significant research and meet high standards of scientific merit will be accepted for publication.
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