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EGFR 驱动的肺癌生长和治疗反应的遗传决定因素。

Genetic Determinants of EGFR-Driven Lung Cancer Growth and Therapeutic Response .

机构信息

Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut.

Department of Biology, Stanford University, Stanford, California.

出版信息

Cancer Discov. 2021 Jul;11(7):1736-1753. doi: 10.1158/2159-8290.CD-20-1385. Epub 2021 Mar 11.

DOI:10.1158/2159-8290.CD-20-1385
PMID:33707235
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8530463/
Abstract

In lung adenocarcinoma, oncogenic mutations co-occur with many tumor suppressor gene alterations; however, the extent to which these contribute to tumor growth and response to therapy remains largely unknown. By quantifying the effects of inactivating 10 putative tumor suppressor genes in a mouse model of EGFR-driven -deficient lung adenocarcinoma, we found that , or inactivation strongly promoted tumor growth. Unexpectedly, inactivation of or the strongest drivers of growth in a KRAS-driven model-reduced EGFR-driven tumor growth. These results are consistent with mutational frequencies in human EGFR- and KRAS-driven lung adenocarcinomas. Furthermore, inactivation reduced the sensitivity of EGFR-driven tumors to the EGFR inhibitor osimertinib, and mutations in genes in the KEAP1 pathway were associated with decreased time on tyrosine kinase inhibitor treatment in patients. Our study highlights how the impact of genetic alterations differs across oncogenic contexts and that the fitness landscape shifts upon treatment. SIGNIFICANCE: By modeling complex genotypes , this study reveals key tumor suppressors that constrain the growth of -mutant tumors. Furthermore, we uncovered that inactivation reduces the sensitivity of these tumors to tyrosine kinase inhibitors. Thus, our approach identifies genotypes of biological and therapeutic importance in this disease..

摘要

在肺腺癌中,致癌突变与许多肿瘤抑制基因改变共同发生;然而,这些因素在多大程度上促进肿瘤生长和对治疗的反应在很大程度上仍然未知。通过在 EGFR 驱动的 -缺陷肺腺癌小鼠模型中定量分析 10 个假定的肿瘤抑制基因的失活效应,我们发现 或失活强烈促进肿瘤生长。出乎意料的是,或失活 -KRAS 驱动模型中最强的生长驱动因素 -降低了 EGFR 驱动的肿瘤生长。这些结果与人类 EGFR 和 KRAS 驱动的肺腺癌中的突变频率一致。此外,失活降低了 EGFR 驱动的肿瘤对 EGFR 抑制剂奥希替尼的敏感性,KEAP1 通路中的基因突变与患者接受酪氨酸激酶抑制剂治疗时间的缩短有关。我们的研究强调了遗传改变在不同致癌背景下的影响有何不同,以及治疗后适应性景观如何发生变化。意义:通过模拟复杂的基因型,本研究揭示了限制 -突变肿瘤生长的关键肿瘤抑制因子。此外,我们发现失活降低了这些肿瘤对酪氨酸激酶抑制剂的敏感性。因此,我们的方法确定了这种疾病中具有生物学和治疗意义的基因型。

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